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description Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | GenTOREEC| GenTOREBurns, J.G.; Eory, V.; Butler, A.; Simm, G.; Wall, E.;pmid: 35588584
Breeding objectives of livestock and other agricultural species are usually profit maximising. The selection emphasis placed on specific traits to achieve a breeding objective is often informed by the financial value of a trait to a farm system. However, there are alternative, and complementary approaches to defining both the breeding objective and the selection emphasis placed on traits that are included in associated selection tools. These are based on the preferences of stakeholders, which are often heterogeneous and include broader values and motivations than profit. In this regard, stated preference methods are useful when considering traits that have either no discernible market value or whose value is not fully transferred via the market. Such approaches can guide more appropriate breeding decisions that are amenable to changing societal values, for example with reduced negative environmental externalities. However, while stated preference methods offer promising conceptualisations of value in genetic improvement programmes, there is still a substantial knowledge gap in terms of the current state of research and a catalogue of publications to date. This paper reviews publications of stated preference approaches in the field of livestock breeding (and some relevant crop breeding examples), providing a knowledge base of published applications and promoting their continued development and implementation towards the formulation of appropriate breeding objectives and selection indices. A systematic review of 84 peer-reviewed publications and an aggregate ranking of traits for the most commonly studied subject (cattle) reveals uncertainty in preference estimates which may be driven by (i) a diverse set of non-standardised methodologies, (ii) common oversights in the selection, inclusion and description of traits, and (iii) inaccurate representations of the respondent population. We discuss key considerations to help overcome these limitations, including avoiding methodological confinement to a disciplinary silo and reducing complexity so that the values of broader respondent groups may be accounted for.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | GenTOREEC| GenTOREBurns, J.G.; Eory, V.; Butler, A.; Simm, G.; Wall, E.;pmid: 35588584
Breeding objectives of livestock and other agricultural species are usually profit maximising. The selection emphasis placed on specific traits to achieve a breeding objective is often informed by the financial value of a trait to a farm system. However, there are alternative, and complementary approaches to defining both the breeding objective and the selection emphasis placed on traits that are included in associated selection tools. These are based on the preferences of stakeholders, which are often heterogeneous and include broader values and motivations than profit. In this regard, stated preference methods are useful when considering traits that have either no discernible market value or whose value is not fully transferred via the market. Such approaches can guide more appropriate breeding decisions that are amenable to changing societal values, for example with reduced negative environmental externalities. However, while stated preference methods offer promising conceptualisations of value in genetic improvement programmes, there is still a substantial knowledge gap in terms of the current state of research and a catalogue of publications to date. This paper reviews publications of stated preference approaches in the field of livestock breeding (and some relevant crop breeding examples), providing a knowledge base of published applications and promoting their continued development and implementation towards the formulation of appropriate breeding objectives and selection indices. A systematic review of 84 peer-reviewed publications and an aggregate ranking of traits for the most commonly studied subject (cattle) reveals uncertainty in preference estimates which may be driven by (i) a diverse set of non-standardised methodologies, (ii) common oversights in the selection, inclusion and description of traits, and (iii) inaccurate representations of the respondent population. We discuss key considerations to help overcome these limitations, including avoiding methodological confinement to a disciplinary silo and reducing complexity so that the values of broader respondent groups may be accounted for.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2022.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2022.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 Netherlands, France, Australia, FrancePublisher:Elsevier BV Pierre J. Gerber; Pierre J. Gerber; Timothy P. Robinson; Alessandra Falcucci; Benjamin B. Henderson; Henning Steinfeld; C. Opio; G. Tempio; Michael MacLeod; Harinder P. S. Makkar; Theun Vellinga; Anne Mottet;The livestock sector is one of the fastest growing subsectors of the agricultural economy and, while it makes a major contribution to global food supply and economic development, it also consumes significant amounts of natural resources and alters the environment. In order to improve our understanding of the global environmental impact of livestock supply chains, the Food and Agriculture Organization of the United Nations has developed the Global Livestock Environmental Assessment Model (GLEAM). The purpose of this paper is to provide a review of GLEAM. Specifically, it explains the model architecture, methods and functionality, that is the types of analysis that the model can perform. The model focuses primarily on the quantification of greenhouse gases emissions arising from the production of the 11 main livestock commodities. The model inputs and outputs are managed and produced as raster data sets, with spatial resolution of 0.05 decimal degrees. The Global Livestock Environmental Assessment Model v1.0 consists of five distinct modules: (a) the Herd Module; (b) the Manure Module; (c) the Feed Module; (d) the System Module; (e) the Allocation Module. In terms of the modelling approach, GLEAM has several advantages. For example spatial information on livestock distributions and crops yields enables rations to be derived that reflect the local availability of feed resources in developing countries. The Global Livestock Environmental Assessment Model also contains a herd model that enables livestock statistics to be disaggregated and variation in livestock performance and management to be captured. Priorities for future development of GLEAM include: improving data quality and the methods used to perform emissions calculations; extending the scope of the model to include selected additional environmental impacts and to enable predictive modelling; and improving the utility of GLEAM output.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BY NC NDFull-Text: https://hdl.handle.net/10568/90511Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731117001847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 57 citations 57 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BY NC NDFull-Text: https://hdl.handle.net/10568/90511Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731117001847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 Netherlands, France, Australia, FrancePublisher:Elsevier BV Pierre J. Gerber; Pierre J. Gerber; Timothy P. Robinson; Alessandra Falcucci; Benjamin B. Henderson; Henning Steinfeld; C. Opio; G. Tempio; Michael MacLeod; Harinder P. S. Makkar; Theun Vellinga; Anne Mottet;The livestock sector is one of the fastest growing subsectors of the agricultural economy and, while it makes a major contribution to global food supply and economic development, it also consumes significant amounts of natural resources and alters the environment. In order to improve our understanding of the global environmental impact of livestock supply chains, the Food and Agriculture Organization of the United Nations has developed the Global Livestock Environmental Assessment Model (GLEAM). The purpose of this paper is to provide a review of GLEAM. Specifically, it explains the model architecture, methods and functionality, that is the types of analysis that the model can perform. The model focuses primarily on the quantification of greenhouse gases emissions arising from the production of the 11 main livestock commodities. The model inputs and outputs are managed and produced as raster data sets, with spatial resolution of 0.05 decimal degrees. The Global Livestock Environmental Assessment Model v1.0 consists of five distinct modules: (a) the Herd Module; (b) the Manure Module; (c) the Feed Module; (d) the System Module; (e) the Allocation Module. In terms of the modelling approach, GLEAM has several advantages. For example spatial information on livestock distributions and crops yields enables rations to be derived that reflect the local availability of feed resources in developing countries. The Global Livestock Environmental Assessment Model also contains a herd model that enables livestock statistics to be disaggregated and variation in livestock performance and management to be captured. Priorities for future development of GLEAM include: improving data quality and the methods used to perform emissions calculations; extending the scope of the model to include selected additional environmental impacts and to enable predictive modelling; and improving the utility of GLEAM output.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BY NC NDFull-Text: https://hdl.handle.net/10568/90511Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731117001847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 57 citations 57 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BY NC NDFull-Text: https://hdl.handle.net/10568/90511Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731117001847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Publisher:Elsevier BV Shane M. Troy; Pol Llonch; C-A Duthie; Miguel Somarriba; John Rooke; Marie J. Haskell; Rainer Roehe; Simon P. Turner;pmid: 29606168
In beef cattle, feeding behaviour and activity are associated with feed efficiency and methane (CH4) emissions. This study aimed to understand the underlying traits responsible for the contribution of cattle behaviour to individual differences in feed efficiency, performance and CH4 emissions. A total of 84 steers (530±114 kg BW) of two different breeds (crossbreed Charolais and Luing) were used. The experiment was a 2×2×3 factorial design with breed, basal diets (concentrate v. mixed) and dietary treatments (no additive, calcium nitrate or rapeseed cake) as the main factors. The individual dry matter intake (DMI; kg) was recorded daily and the BW was measured weekly over a 56-day period. Ultrasound fat depth was measured on day 56. Based on the previous data, the indexes average daily gain, food conversion and residual feed intake (RFI) were calculated. The frequency of meals, the duration per visit and the time spent feeding per day were taken as feeding behaviour measures. Daily activity was measured using the number of steps, the number of standing bouts and the time standing per day. Agonistic interactions (including the number of contacts, aggressive interactions, and displacements per day) between steers at the feeders were assessed as indicators of dominance. Temperament was assessed using the crush score test (which measures restlessness when restrained) and the flight speed on release from restraint. Statistical analysis was performed using multivariate regression models. Steers that spent more time eating showed better feed efficiency (P=0.039), which can be due to greater secretion of saliva. Feeding time was longer with the mixed diet (P<0.001), Luings (P=0.009) and dominant steers (P=0.032). Higher activity (more steps) in the pen was associated with poorer RFI, possibly because of higher energy expenditure for muscle activity. Frequent meals contributed to a reduction in CH4 emissions per kg DMI. The meal frequency was higher with a mixed diet (P<0.001) and increased in more temperamental (P=0.003) and dominant (P=0.017) steers. In addition, feed intake was lower (P=0.032) in more temperamental steers. This study reveals that efficiency increases with a longer feeding time and CH4 emissions decrease with more frequent meals. As dominant steers eat more frequently and for longer, a reduction in competition at the feeder would improve both feed efficiency and CH4 emissions. Feed efficiency can also be improved through a reduction in activity. Selection for calmer cattle would reduce activity and increase feed intake, which may improve feed efficiency and promote growth, respectively.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731118000617&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731118000617&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Publisher:Elsevier BV Shane M. Troy; Pol Llonch; C-A Duthie; Miguel Somarriba; John Rooke; Marie J. Haskell; Rainer Roehe; Simon P. Turner;pmid: 29606168
In beef cattle, feeding behaviour and activity are associated with feed efficiency and methane (CH4) emissions. This study aimed to understand the underlying traits responsible for the contribution of cattle behaviour to individual differences in feed efficiency, performance and CH4 emissions. A total of 84 steers (530±114 kg BW) of two different breeds (crossbreed Charolais and Luing) were used. The experiment was a 2×2×3 factorial design with breed, basal diets (concentrate v. mixed) and dietary treatments (no additive, calcium nitrate or rapeseed cake) as the main factors. The individual dry matter intake (DMI; kg) was recorded daily and the BW was measured weekly over a 56-day period. Ultrasound fat depth was measured on day 56. Based on the previous data, the indexes average daily gain, food conversion and residual feed intake (RFI) were calculated. The frequency of meals, the duration per visit and the time spent feeding per day were taken as feeding behaviour measures. Daily activity was measured using the number of steps, the number of standing bouts and the time standing per day. Agonistic interactions (including the number of contacts, aggressive interactions, and displacements per day) between steers at the feeders were assessed as indicators of dominance. Temperament was assessed using the crush score test (which measures restlessness when restrained) and the flight speed on release from restraint. Statistical analysis was performed using multivariate regression models. Steers that spent more time eating showed better feed efficiency (P=0.039), which can be due to greater secretion of saliva. Feeding time was longer with the mixed diet (P<0.001), Luings (P=0.009) and dominant steers (P=0.032). Higher activity (more steps) in the pen was associated with poorer RFI, possibly because of higher energy expenditure for muscle activity. Frequent meals contributed to a reduction in CH4 emissions per kg DMI. The meal frequency was higher with a mixed diet (P<0.001) and increased in more temperamental (P=0.003) and dominant (P=0.017) steers. In addition, feed intake was lower (P=0.032) in more temperamental steers. This study reveals that efficiency increases with a longer feeding time and CH4 emissions decrease with more frequent meals. As dominant steers eat more frequently and for longer, a reduction in competition at the feeder would improve both feed efficiency and CH4 emissions. Feed efficiency can also be improved through a reduction in activity. Selection for calmer cattle would reduce activity and increase feed intake, which may improve feed efficiency and promote growth, respectively.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731118000617&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731118000617&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:Elsevier BV Richard Dooso Oloo; Chinyere Ekine-Dzivenu; Raphael Mrode; Jörn Bennewitz; Julie M.K. Ojango; G. Kipkosgei; G. Gebreyohanes; A.M. Okeyo; M.G.G. Chagunda;L'augmentation des températures mondiales induite par le changement climatique a intensifié le stress thermique sur les bovins laitiers et contribue à la faible productivité laitière généralement observée. L'élevage sélectif visant à améliorer la capacité des animaux à résister à la hausse des températures tout en maintenant des performances optimales est crucial pour assurer l'accès futur aux produits laitiers. Cependant, les indicateurs phénotypiques de la tolérance à la chaleur ne sont pas encore effectivement pris en compte dans les objectifs de la plupart des programmes d'élevage sélectif. Cette étude a examiné la réponse de la production laitière à l'évolution de la charge thermique en tant qu'indication de la tolérance à la chaleur et l'influence de la saison de vêlage sur cette réponse chez les bovins laitiers de races multiples présents dans trois zones agroécologiques au Kenya. Le rendement laitier moyen de 7 jours de première parité (65 261 enregistrements de lait) de 1 739 vaches a été analysé. Sur la base des données météorologiques régulièrement enregistrées et accessibles en ligne, l'indice de température et d'humidité (THI) a été calculé et utilisé comme mesure de la charge calorifique. LES mesures utilisées représentaient les moyennes des mêmes périodes de 7 jours correspondant à chaque enregistrement de lait moyen de 7 jours. Les modèles de régression aléatoire, y compris les fonctions de la norme de réaction, ont été ajustés pour dériver deux indicateurs de résilience : la pente de la norme de réaction (pente) et sa valeur absolue (absolue), reflétant les changements dans le rendement du lait en réponse aux charges thermiques variables (THI 50 et THI 80). Les paramètres génétiques de ces indicateurs ont été estimés et leurs associations avec le rendement moyen en lait au jour d'essai ont été examinées. Il n'y avait pas de différences substantielles dans le modèle de réponse du rendement laitier à la charge thermique entre le vêlage des vaches en saison sèche et humide. Les animaux avec des gènes Bos taurus ≤50 % étaient les plus thermotolérants à des niveaux de charge thermique extrêmement élevés. Les animaux se produisant dans des environnements semi-arides présentaient la capacité de tolérance à la chaleur la plus élevée. Les estimations d'héritabilité pour ces indicateurs variaient de 0,06 à 0,33 et étaient pour la plupart significativement différentes de zéro (P<0,05). La pente à THI 80 avait des corrélations négatives élevées (0,64-0,71) avec le rendement laitier quotidien moyen, révélant que les vaches hautement productrices sont plus vulnérables au stress thermique et vice versa. Une corrélation positive élevée (0,63-0,74) a été observée entre le rendement laitier absolu et moyen à THI 80. Cela impliquait que les vaches à faible production laitière avaient une production laitière plus stable dans des conditions de stress thermique et vice versa. L'étude a démontré que la pente des normes de réaction et sa valeur absolue peuvent mesurer efficacement la résilience des bovins laitiers croisés à des conditions de charge thermique variables. Les implications de ces résultats sont précieuses pour améliorer la tolérance à la chaleur des espèces animales grâce à la sélection génétique. El aumento de las temperaturas globales inducido por el cambio climático ha intensificado el estrés por calor en el ganado lechero y está contribuyendo a la baja productividad de la leche generalmente observada. La cría selectiva destinada a mejorar la capacidad de los animales para soportar el aumento de las temperaturas y mantener un rendimiento óptimo es crucial para garantizar el acceso futuro a los productos lácteos. Sin embargo, los indicadores fenotípicos de tolerancia al calor aún no se han tenido en cuenta de manera efectiva en los objetivos de la mayoría de los programas de reproducción selectiva. Este estudio investigó la respuesta de la producción de leche a la carga de calor cambiante como una indicación de la tolerancia al calor y la influencia de la temporada de parto en esta respuesta en ganado lechero de razas múltiples que se desempeña en tres zonas agroecológicas de Kenia. Se analizó el rendimiento lechero medio de 7 días de primera paridad (65 261 registros lecheros) de 1 739 vacas. Con base en los datos meteorológicos registrados de forma rutinaria que eran accesibles en línea, se calculó el Índice de Temperatura-Humedad (THI) y se utilizó como una medida de la carga de calor. Estas mediciones utilizadas representaron promedios de los mismos períodos de 7 días correspondientes a cada registro medio de leche de 7 días. Los modelos de regresión aleatoria, incluidas las funciones de la norma de reacción, se ajustaron para derivar dos indicadores de resiliencia: pendiente de la norma de reacción (pendiente) y su valor absoluto (absoluto), que reflejan los cambios en el rendimiento de la leche en respuesta a las diferentes cargas de calor (THI 50 y THI 80). Se estimaron los parámetros genéticos de estos indicadores y se examinaron sus asociaciones con el rendimiento medio de la leche del día de prueba. No hubo diferencias sustanciales en el patrón de respuesta del rendimiento de la leche a la carga de calor entre las vacas que paren en las estaciones seca y húmeda. Los animales con ≤50% de genes de Bos taurus fueron los más termotolerantes a niveles de carga de calor extremadamente altos. Los animales que actuaban en ambientes semiáridos mostraron la mayor capacidad de tolerancia al calor. Las estimaciones de heredabilidad para estos indicadores oscilaron entre 0,06 y 0,33 y en su mayoría fueron significativamente diferentes de cero (P<0,05). La pendiente en THI 80 tuvo altas correlaciones negativas (0.64-0.71) con el rendimiento medio diario de leche, revelando que las vacas de alta producción son más vulnerables al estrés por calor y viceversa. Se observó una alta correlación positiva (0.63-0.74) entre el rendimiento absoluto y el rendimiento medio de la leche a THI 80. Esto implicaba que las vacas con baja producción de leche tienen una producción de leche más estable en condiciones de estrés por calor y viceversa. El estudio demostró que la pendiente de las normas de reacción y su valor absoluto pueden medir de manera efectiva la resiliencia del ganado lechero cruzado a diferentes condiciones de carga de calor. Las implicaciones de estos hallazgos son valiosas para mejorar la tolerancia al calor de las especies ganaderas a través de la selección genética. Climate change-induced rise in global temperatures has intensified heat stress on dairy cattle and is contributing to the generally observed low milk productivity. Selective breeding aimed at enhancing animals' ability to withstand rising temperatures while maintaining optimal performance is crucial for ensuring future access to dairy products. However, phenotypic indicators of heat tolerance are yet to be effectively factored in the objectives of most selective breeding programs. This study investigated the response of milk production to changing heat load as an indication of heat tolerance and the influence of calving season on this response in multibreed dairy cattle performing in three agroecological zones Kenya. First-parity 7-day average milk yield (65 261 milk records) of 1 739 cows were analyzed. Based on routinely recorded weather data that were accessible online, the Temperature-Humidity Index (THI) was calculated and used as a measure of heat load. THI measurements used represented averages of the same 7-day periods corresponding to each 7-day average milk record. Random regression models, including reaction norm functions, were fitted to derive two resilience indicators: slope of the reaction norm (Slope) and its absolute value (Absolute), reflecting changes in milk yield in response to the varying heat loads (THI 50 and THI 80). The genetic parameters of these indicators were estimated, and their associations with average test-day milk yield were examined. There were no substantial differences in the pattern of milk yield response to heat load between cows calving in dry and wet seasons. Animals with ≤50% Bos taurus genes were the most thermotolerant at extremely high heat load levels. Animals performing in semi-arid environments exhibited the highest heat tolerance capacity. Heritability estimates for these indicators ranged from 0.06 to 0.33 and were mostly significantly different from zero (P<0.05). Slope at THI 80 had high (0.64-0.71) negative correlations with average daily milk yield, revealing that high-producing cows are more vulnerable to heat stress and vice versa. A high (0.63-0.74) positive correlation was observed between Absolute and average milk yield at THI 80. This implied that low milk-producing cows have a more stable milk production under heat-stress conditions and vice versa. The study demonstrated that the slope of the reaction norms and its absolute value can effectively measure the resilience of crossbred dairy cattle to varying heat load conditions. The implications of these findings are valuable in improving the heat tolerance of livestock species through genetic selection. أدى الارتفاع الناجم عن تغير المناخ في درجات الحرارة العالمية إلى تكثيف الإجهاد الحراري على الماشية الحلوب ويسهم في انخفاض إنتاجية الحليب بشكل عام. إن التربية الانتقائية التي تهدف إلى تعزيز قدرة الحيوانات على تحمل ارتفاع درجات الحرارة مع الحفاظ على الأداء الأمثل أمر بالغ الأهمية لضمان الوصول في المستقبل إلى منتجات الألبان. ومع ذلك، فإن مؤشرات النمط الظاهري لتحمل الحرارة لم تؤخذ بعد في الاعتبار بشكل فعال في أهداف معظم برامج التكاثر الانتقائية. بحثت هذه الدراسة في استجابة إنتاج الحليب لتغير الحمل الحراري كمؤشر على تحمل الحرارة وتأثير موسم الولادة على هذه الاستجابة في الماشية الحلوب متعددة السلالات التي تعمل في ثلاث مناطق زراعية إيكولوجية في كينيا. تم تحليل متوسط إنتاج الحليب لمدة 7 أيام (65261 سجل حليب) من 1739 بقرة. استنادًا إلى بيانات الطقس المسجلة بشكل روتيني والتي يمكن الوصول إليها عبر الإنترنت، تم حساب مؤشر درجة الحرارة والرطوبة (THI) واستخدامه كمقياس للحمل الحراري. تمثل هذه القياسات المستخدمة متوسطات لنفس فترات 7 أيام المقابلة لكل سجل حليب متوسط لمدة 7 أيام. تم تركيب نماذج الانحدار العشوائي، بما في ذلك وظائف معيار التفاعل، لاستخلاص مؤشرين للمرونة: ميل معيار التفاعل (المنحدر) وقيمته المطلقة (المطلق)، مما يعكس التغيرات في إنتاجية الحليب استجابة للأحمال الحرارية المتفاوتة (THI 50 و THI 80). تم تقدير المعلمات الوراثية لهذه المؤشرات، وتم فحص ارتباطاتها بمتوسط إنتاجية الحليب في يوم الاختبار. لم تكن هناك اختلافات جوهرية في نمط استجابة غلة الحليب للحمل الحراري بين الأبقار التي تلد في المواسم الجافة والرطبة. كانت الحيوانات التي تحتوي على ≤50 ٪ من جينات الثور البوس هي الأكثر تحملاً للحرارة عند مستويات حمل حراري عالية للغاية. أظهرت الحيوانات التي تعمل في البيئات شبه القاحلة أعلى قدرة على تحمل الحرارة. تراوحت تقديرات التوريث لهذه المؤشرات من 0.06 إلى 0.33 وكانت في الغالب مختلفة بشكل كبير عن الصفر (P<0.05). كان للمنحدر عند THI 80 ارتباطات سلبية عالية (0.64-0.71) مع متوسط إنتاج الحليب اليومي، مما يكشف عن أن الأبقار عالية الإنتاج أكثر عرضة للإجهاد الحراري والعكس صحيح. لوحظ وجود ارتباط إيجابي مرتفع (0.63-0.74) بين إنتاج الحليب المطلق والمتوسط عند 80. وهذا يعني أن الأبقار ذات الإنتاج المنخفض للحليب لديها إنتاج حليب أكثر استقرارًا في ظل ظروف الإجهاد الحراري والعكس صحيح. أظهرت الدراسة أن منحدر معايير التفاعل وقيمته المطلقة يمكن أن يقيس بشكل فعال مرونة الماشية الحلوب المهجنة لظروف الحمل الحراري المتفاوتة. إن الآثار المترتبة على هذه النتائج ذات قيمة في تحسين تحمل الحرارة لأنواع الماشية من خلال الانتقاء الجيني.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:Elsevier BV Richard Dooso Oloo; Chinyere Ekine-Dzivenu; Raphael Mrode; Jörn Bennewitz; Julie M.K. Ojango; G. Kipkosgei; G. Gebreyohanes; A.M. Okeyo; M.G.G. Chagunda;L'augmentation des températures mondiales induite par le changement climatique a intensifié le stress thermique sur les bovins laitiers et contribue à la faible productivité laitière généralement observée. L'élevage sélectif visant à améliorer la capacité des animaux à résister à la hausse des températures tout en maintenant des performances optimales est crucial pour assurer l'accès futur aux produits laitiers. Cependant, les indicateurs phénotypiques de la tolérance à la chaleur ne sont pas encore effectivement pris en compte dans les objectifs de la plupart des programmes d'élevage sélectif. Cette étude a examiné la réponse de la production laitière à l'évolution de la charge thermique en tant qu'indication de la tolérance à la chaleur et l'influence de la saison de vêlage sur cette réponse chez les bovins laitiers de races multiples présents dans trois zones agroécologiques au Kenya. Le rendement laitier moyen de 7 jours de première parité (65 261 enregistrements de lait) de 1 739 vaches a été analysé. Sur la base des données météorologiques régulièrement enregistrées et accessibles en ligne, l'indice de température et d'humidité (THI) a été calculé et utilisé comme mesure de la charge calorifique. LES mesures utilisées représentaient les moyennes des mêmes périodes de 7 jours correspondant à chaque enregistrement de lait moyen de 7 jours. Les modèles de régression aléatoire, y compris les fonctions de la norme de réaction, ont été ajustés pour dériver deux indicateurs de résilience : la pente de la norme de réaction (pente) et sa valeur absolue (absolue), reflétant les changements dans le rendement du lait en réponse aux charges thermiques variables (THI 50 et THI 80). Les paramètres génétiques de ces indicateurs ont été estimés et leurs associations avec le rendement moyen en lait au jour d'essai ont été examinées. Il n'y avait pas de différences substantielles dans le modèle de réponse du rendement laitier à la charge thermique entre le vêlage des vaches en saison sèche et humide. Les animaux avec des gènes Bos taurus ≤50 % étaient les plus thermotolérants à des niveaux de charge thermique extrêmement élevés. Les animaux se produisant dans des environnements semi-arides présentaient la capacité de tolérance à la chaleur la plus élevée. Les estimations d'héritabilité pour ces indicateurs variaient de 0,06 à 0,33 et étaient pour la plupart significativement différentes de zéro (P<0,05). La pente à THI 80 avait des corrélations négatives élevées (0,64-0,71) avec le rendement laitier quotidien moyen, révélant que les vaches hautement productrices sont plus vulnérables au stress thermique et vice versa. Une corrélation positive élevée (0,63-0,74) a été observée entre le rendement laitier absolu et moyen à THI 80. Cela impliquait que les vaches à faible production laitière avaient une production laitière plus stable dans des conditions de stress thermique et vice versa. L'étude a démontré que la pente des normes de réaction et sa valeur absolue peuvent mesurer efficacement la résilience des bovins laitiers croisés à des conditions de charge thermique variables. Les implications de ces résultats sont précieuses pour améliorer la tolérance à la chaleur des espèces animales grâce à la sélection génétique. El aumento de las temperaturas globales inducido por el cambio climático ha intensificado el estrés por calor en el ganado lechero y está contribuyendo a la baja productividad de la leche generalmente observada. La cría selectiva destinada a mejorar la capacidad de los animales para soportar el aumento de las temperaturas y mantener un rendimiento óptimo es crucial para garantizar el acceso futuro a los productos lácteos. Sin embargo, los indicadores fenotípicos de tolerancia al calor aún no se han tenido en cuenta de manera efectiva en los objetivos de la mayoría de los programas de reproducción selectiva. Este estudio investigó la respuesta de la producción de leche a la carga de calor cambiante como una indicación de la tolerancia al calor y la influencia de la temporada de parto en esta respuesta en ganado lechero de razas múltiples que se desempeña en tres zonas agroecológicas de Kenia. Se analizó el rendimiento lechero medio de 7 días de primera paridad (65 261 registros lecheros) de 1 739 vacas. Con base en los datos meteorológicos registrados de forma rutinaria que eran accesibles en línea, se calculó el Índice de Temperatura-Humedad (THI) y se utilizó como una medida de la carga de calor. Estas mediciones utilizadas representaron promedios de los mismos períodos de 7 días correspondientes a cada registro medio de leche de 7 días. Los modelos de regresión aleatoria, incluidas las funciones de la norma de reacción, se ajustaron para derivar dos indicadores de resiliencia: pendiente de la norma de reacción (pendiente) y su valor absoluto (absoluto), que reflejan los cambios en el rendimiento de la leche en respuesta a las diferentes cargas de calor (THI 50 y THI 80). Se estimaron los parámetros genéticos de estos indicadores y se examinaron sus asociaciones con el rendimiento medio de la leche del día de prueba. No hubo diferencias sustanciales en el patrón de respuesta del rendimiento de la leche a la carga de calor entre las vacas que paren en las estaciones seca y húmeda. Los animales con ≤50% de genes de Bos taurus fueron los más termotolerantes a niveles de carga de calor extremadamente altos. Los animales que actuaban en ambientes semiáridos mostraron la mayor capacidad de tolerancia al calor. Las estimaciones de heredabilidad para estos indicadores oscilaron entre 0,06 y 0,33 y en su mayoría fueron significativamente diferentes de cero (P<0,05). La pendiente en THI 80 tuvo altas correlaciones negativas (0.64-0.71) con el rendimiento medio diario de leche, revelando que las vacas de alta producción son más vulnerables al estrés por calor y viceversa. Se observó una alta correlación positiva (0.63-0.74) entre el rendimiento absoluto y el rendimiento medio de la leche a THI 80. Esto implicaba que las vacas con baja producción de leche tienen una producción de leche más estable en condiciones de estrés por calor y viceversa. El estudio demostró que la pendiente de las normas de reacción y su valor absoluto pueden medir de manera efectiva la resiliencia del ganado lechero cruzado a diferentes condiciones de carga de calor. Las implicaciones de estos hallazgos son valiosas para mejorar la tolerancia al calor de las especies ganaderas a través de la selección genética. Climate change-induced rise in global temperatures has intensified heat stress on dairy cattle and is contributing to the generally observed low milk productivity. Selective breeding aimed at enhancing animals' ability to withstand rising temperatures while maintaining optimal performance is crucial for ensuring future access to dairy products. However, phenotypic indicators of heat tolerance are yet to be effectively factored in the objectives of most selective breeding programs. This study investigated the response of milk production to changing heat load as an indication of heat tolerance and the influence of calving season on this response in multibreed dairy cattle performing in three agroecological zones Kenya. First-parity 7-day average milk yield (65 261 milk records) of 1 739 cows were analyzed. Based on routinely recorded weather data that were accessible online, the Temperature-Humidity Index (THI) was calculated and used as a measure of heat load. THI measurements used represented averages of the same 7-day periods corresponding to each 7-day average milk record. Random regression models, including reaction norm functions, were fitted to derive two resilience indicators: slope of the reaction norm (Slope) and its absolute value (Absolute), reflecting changes in milk yield in response to the varying heat loads (THI 50 and THI 80). The genetic parameters of these indicators were estimated, and their associations with average test-day milk yield were examined. There were no substantial differences in the pattern of milk yield response to heat load between cows calving in dry and wet seasons. Animals with ≤50% Bos taurus genes were the most thermotolerant at extremely high heat load levels. Animals performing in semi-arid environments exhibited the highest heat tolerance capacity. Heritability estimates for these indicators ranged from 0.06 to 0.33 and were mostly significantly different from zero (P<0.05). Slope at THI 80 had high (0.64-0.71) negative correlations with average daily milk yield, revealing that high-producing cows are more vulnerable to heat stress and vice versa. A high (0.63-0.74) positive correlation was observed between Absolute and average milk yield at THI 80. This implied that low milk-producing cows have a more stable milk production under heat-stress conditions and vice versa. The study demonstrated that the slope of the reaction norms and its absolute value can effectively measure the resilience of crossbred dairy cattle to varying heat load conditions. The implications of these findings are valuable in improving the heat tolerance of livestock species through genetic selection. أدى الارتفاع الناجم عن تغير المناخ في درجات الحرارة العالمية إلى تكثيف الإجهاد الحراري على الماشية الحلوب ويسهم في انخفاض إنتاجية الحليب بشكل عام. إن التربية الانتقائية التي تهدف إلى تعزيز قدرة الحيوانات على تحمل ارتفاع درجات الحرارة مع الحفاظ على الأداء الأمثل أمر بالغ الأهمية لضمان الوصول في المستقبل إلى منتجات الألبان. ومع ذلك، فإن مؤشرات النمط الظاهري لتحمل الحرارة لم تؤخذ بعد في الاعتبار بشكل فعال في أهداف معظم برامج التكاثر الانتقائية. بحثت هذه الدراسة في استجابة إنتاج الحليب لتغير الحمل الحراري كمؤشر على تحمل الحرارة وتأثير موسم الولادة على هذه الاستجابة في الماشية الحلوب متعددة السلالات التي تعمل في ثلاث مناطق زراعية إيكولوجية في كينيا. تم تحليل متوسط إنتاج الحليب لمدة 7 أيام (65261 سجل حليب) من 1739 بقرة. استنادًا إلى بيانات الطقس المسجلة بشكل روتيني والتي يمكن الوصول إليها عبر الإنترنت، تم حساب مؤشر درجة الحرارة والرطوبة (THI) واستخدامه كمقياس للحمل الحراري. تمثل هذه القياسات المستخدمة متوسطات لنفس فترات 7 أيام المقابلة لكل سجل حليب متوسط لمدة 7 أيام. تم تركيب نماذج الانحدار العشوائي، بما في ذلك وظائف معيار التفاعل، لاستخلاص مؤشرين للمرونة: ميل معيار التفاعل (المنحدر) وقيمته المطلقة (المطلق)، مما يعكس التغيرات في إنتاجية الحليب استجابة للأحمال الحرارية المتفاوتة (THI 50 و THI 80). تم تقدير المعلمات الوراثية لهذه المؤشرات، وتم فحص ارتباطاتها بمتوسط إنتاجية الحليب في يوم الاختبار. لم تكن هناك اختلافات جوهرية في نمط استجابة غلة الحليب للحمل الحراري بين الأبقار التي تلد في المواسم الجافة والرطبة. كانت الحيوانات التي تحتوي على ≤50 ٪ من جينات الثور البوس هي الأكثر تحملاً للحرارة عند مستويات حمل حراري عالية للغاية. أظهرت الحيوانات التي تعمل في البيئات شبه القاحلة أعلى قدرة على تحمل الحرارة. تراوحت تقديرات التوريث لهذه المؤشرات من 0.06 إلى 0.33 وكانت في الغالب مختلفة بشكل كبير عن الصفر (P<0.05). كان للمنحدر عند THI 80 ارتباطات سلبية عالية (0.64-0.71) مع متوسط إنتاج الحليب اليومي، مما يكشف عن أن الأبقار عالية الإنتاج أكثر عرضة للإجهاد الحراري والعكس صحيح. لوحظ وجود ارتباط إيجابي مرتفع (0.63-0.74) بين إنتاج الحليب المطلق والمتوسط عند 80. وهذا يعني أن الأبقار ذات الإنتاج المنخفض للحليب لديها إنتاج حليب أكثر استقرارًا في ظل ظروف الإجهاد الحراري والعكس صحيح. أظهرت الدراسة أن منحدر معايير التفاعل وقيمته المطلقة يمكن أن يقيس بشكل فعال مرونة الماشية الحلوب المهجنة لظروف الحمل الحراري المتفاوتة. إن الآثار المترتبة على هذه النتائج ذات قيمة في تحسين تحمل الحرارة لأنواع الماشية من خلال الانتقاء الجيني.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Elsevier BV Authors: Anthony Waterhouse; John Rooke; Carol-Anne Duthie; J. J. Hyslop;pmid: 26145179
Increasing the concentration of dietary lipid is a promising strategy for reducing methane (CH4) emissions from ruminants. This study investigated the effect of replacing grass silage with brewers' grains on CH4 emissions of pregnant, non-lactating beef cows of two breeds. The experiment was a two×two factorial design comprising two breeds (LIMx, crossbred Limousin; and LUI, purebred Luing) and two diets consisting of (g/kg diet dry matter (DM)) barley straw (687) and grass silage (301, GS), or barley straw (763) and brewers' grains (226, BG), which were offered ad libitum. Replacing GS with BG increased the acid-hydrolysed ether extract concentration from 21 to 37 g/kg diet DM. Cows (n=48) were group-housed in equal numbers of each breed across two pens and each diet was allocated to one pen. Before measurements of CH4, individual dry matter intake (DMI), weekly BW and weekly body condition score were measured for a minimum of 3 weeks, following a 4-week period to acclimatise to the diets. CH4 emissions were subsequently measured on one occasion from each cow using individual respiration chambers. Due to occasional equipment failures, CH4 measurements were run over 9 weeks giving 10 observations for each breed×treatment combination (total n=40). There were no differences between diets for daily DMI measured in the chambers (9.92 v. 9.86 kg/day for BG and GS, respectively; P>0.05). Cows offered the BG diet produced less daily CH4 than GS-fed cows (131 v. 156 g/day: P0.05). However, when expressed as a proportion of metabolic BW (BW0.75), LUI cows had greater DMI than LIMx cows (84.5 v. 75.7 g DMI/kg BW0.75, P<0.05) and produced more CH4 per kg BW0.75 than LIMx cows (1.30 v. 1.05 g CH4/kg BW0.75; P<0.01). Molar proportions of acetate were higher (P<0.001) and propionate and butyrate lower (P<0.01) in rumen fluid samples from BG-fed compared with GS-fed cows. This study demonstrated that replacing GS with BG in barley straw-based diets can effectively reduce CH4 emissions from beef cows, with no suppression of DMI.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Elsevier BV Authors: Anthony Waterhouse; John Rooke; Carol-Anne Duthie; J. J. Hyslop;pmid: 26145179
Increasing the concentration of dietary lipid is a promising strategy for reducing methane (CH4) emissions from ruminants. This study investigated the effect of replacing grass silage with brewers' grains on CH4 emissions of pregnant, non-lactating beef cows of two breeds. The experiment was a two×two factorial design comprising two breeds (LIMx, crossbred Limousin; and LUI, purebred Luing) and two diets consisting of (g/kg diet dry matter (DM)) barley straw (687) and grass silage (301, GS), or barley straw (763) and brewers' grains (226, BG), which were offered ad libitum. Replacing GS with BG increased the acid-hydrolysed ether extract concentration from 21 to 37 g/kg diet DM. Cows (n=48) were group-housed in equal numbers of each breed across two pens and each diet was allocated to one pen. Before measurements of CH4, individual dry matter intake (DMI), weekly BW and weekly body condition score were measured for a minimum of 3 weeks, following a 4-week period to acclimatise to the diets. CH4 emissions were subsequently measured on one occasion from each cow using individual respiration chambers. Due to occasional equipment failures, CH4 measurements were run over 9 weeks giving 10 observations for each breed×treatment combination (total n=40). There were no differences between diets for daily DMI measured in the chambers (9.92 v. 9.86 kg/day for BG and GS, respectively; P>0.05). Cows offered the BG diet produced less daily CH4 than GS-fed cows (131 v. 156 g/day: P0.05). However, when expressed as a proportion of metabolic BW (BW0.75), LUI cows had greater DMI than LIMx cows (84.5 v. 75.7 g DMI/kg BW0.75, P<0.05) and produced more CH4 per kg BW0.75 than LIMx cows (1.30 v. 1.05 g CH4/kg BW0.75; P<0.01). Molar proportions of acetate were higher (P<0.001) and propionate and butyrate lower (P<0.01) in rumen fluid samples from BG-fed compared with GS-fed cows. This study demonstrated that replacing GS with BG in barley straw-based diets can effectively reduce CH4 emissions from beef cows, with no suppression of DMI.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Authors: Marie J. Haskell; Simon P. Turner; Pol Llonch; Richard J. Dewhurst;pmid: 27406001
Livestock production is a major contributor to greenhouse gas (GHG) emissions, so will play a significant role in the mitigation effort. Recent literature highlights different strategies to mitigate GHG emissions in the livestock sector. Animal welfare is a criterion of sustainability and any strategy designed to reduce the carbon footprint of livestock production should consider animal welfare amongst other sustainability metrics. We discuss and tabulate the likely relationships and trade-offs between the GHG mitigation potential of mitigation strategies and their welfare consequences, focusing on ruminant species and on cattle in particular. The major livestock GHG mitigation strategies were classified according to their mitigation approach as reducing total emissions (inhibiting methane production in the rumen), or reducing emissions intensity (Ei; reducing CH4 per output unit without directly targeting methanogenesis). Strategies classified as antimethanogenic included chemical inhibitors, electron acceptors (i.e. nitrates), ionophores (i.e. Monensin) and dietary lipids. Increasing diet digestibility, intensive housing, improving health and welfare, increasing reproductive efficiency and breeding for higher productivity were categorized as strategies that reduce Ei. Strategies that increase productivity are very promising ways to reduce the livestock carbon footprint, though in intensive systems this is likely to be achieved at the cost of welfare. Other strategies can effectively reduce GHG emissions whilst simultaneously improving animal welfare (e.g. feed supplementation or improving health). These win-win strategies should be strongly supported as they address both environmental and ethical sustainability. In order to identify the most cost-effective measures for improving environmental sustainability of livestock production, the consequences of current and future strategies for animal welfare must be scrutinized and contrasted against their effectiveness in mitigating climate change.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 93 citations 93 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731116001440&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Authors: Marie J. Haskell; Simon P. Turner; Pol Llonch; Richard J. Dewhurst;pmid: 27406001
Livestock production is a major contributor to greenhouse gas (GHG) emissions, so will play a significant role in the mitigation effort. Recent literature highlights different strategies to mitigate GHG emissions in the livestock sector. Animal welfare is a criterion of sustainability and any strategy designed to reduce the carbon footprint of livestock production should consider animal welfare amongst other sustainability metrics. We discuss and tabulate the likely relationships and trade-offs between the GHG mitigation potential of mitigation strategies and their welfare consequences, focusing on ruminant species and on cattle in particular. The major livestock GHG mitigation strategies were classified according to their mitigation approach as reducing total emissions (inhibiting methane production in the rumen), or reducing emissions intensity (Ei; reducing CH4 per output unit without directly targeting methanogenesis). Strategies classified as antimethanogenic included chemical inhibitors, electron acceptors (i.e. nitrates), ionophores (i.e. Monensin) and dietary lipids. Increasing diet digestibility, intensive housing, improving health and welfare, increasing reproductive efficiency and breeding for higher productivity were categorized as strategies that reduce Ei. Strategies that increase productivity are very promising ways to reduce the livestock carbon footprint, though in intensive systems this is likely to be achieved at the cost of welfare. Other strategies can effectively reduce GHG emissions whilst simultaneously improving animal welfare (e.g. feed supplementation or improving health). These win-win strategies should be strongly supported as they address both environmental and ethical sustainability. In order to identify the most cost-effective measures for improving environmental sustainability of livestock production, the consequences of current and future strategies for animal welfare must be scrutinized and contrasted against their effectiveness in mitigating climate change.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731116001440&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 93 citations 93 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731116001440&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 France, NetherlandsPublisher:Elsevier BV Hassan, M.U.; Sidoruk, P.; Lechniak, D.; Szumacher-Strabel, M.; Bocianowski, J.; Ślusarczyk, S.; Hargreaves, P.R.; Ruska, D.; Dorbe, A.; Kreismane, Dz; Klumpp, K.; Bloor, J.; Rees, R.M.; Kuipers, A.; Galama, P.; Váradyová, Z.; Čobanová, K.; Cieślak, A.;pmid: 39708734
Greenhouse gas (GHG) emissions from livestock ruminants, particularly methane (CH4), nitrous oxide, and indirectly ammonia (NH3) significantly contribute to climate change and global warming. Conventional monoculture swards for cattle feeding, such as perennial ryegrass or Italian ryegrass, usually require substantial fertiliser inputs. Such management elevates soil mineral nitrogen levels, resulting in GHG emissions and potential water contamination. Mitigating the environmental footprint of these farming practices requires sustainable alternative feeding strategies for cattle production. Multispecies grassland swards (grass + legumes or legumes + herbs) represent a promising alternative to monoculture grassland swards for cattle nutrition due to their reduced nitrogen requirements, excellent herbage yield, and polyphenolic compounds (tannins, formononetin, luteolin, quercetin, and acteoside) which may have positive effects on animals. This study investigated the effects of selected multispecies grassland swards (plant blends) on in vitro ruminal fermentation and DM digestibility. Three experimental blends of plants cultivated without fertilisers were utilised: (1) perennial ryegrass (PRG) + red clover (RC), (2) chicory (C) + red clover (RC), and (3) Tonic plantain (PLA) + red clover (RC). The control blend included perennial ryegrass (PRG), and red clover (RC) cultivated with fertiliser. The in vitro trial showed a reduction in CH4 production and ruminal NH3 concentration (by 14.7 and 28.8%, respectively; P < 0.01) in the PLA+RC blend compared to the control. This plant blend also increased propionate concentration (P < 0.05) and reduced acetate and butyrate concentrations and the acetate-propionate ratio (P < 0.01). Additionally, the total protozoal and methanogen counts were mostly reduced by the PLA+RC blend (P < 0.01) among all blends investigated. In conclusion, the Tonic plantain and red clover blend (PLA+RC) cultivated without fertilisers have the potential to be utilised as a sustainable alternative feed source for climate-friendly cattle production, aligning with the aims of the European Climate Care Cattle Farming project.
Animal arrow_drop_down Wageningen Staff PublicationsArticle . 2025License: CC BY NC NDData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Animal arrow_drop_down Wageningen Staff PublicationsArticle . 2025License: CC BY NC NDData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101386&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 France, NetherlandsPublisher:Elsevier BV Hassan, M.U.; Sidoruk, P.; Lechniak, D.; Szumacher-Strabel, M.; Bocianowski, J.; Ślusarczyk, S.; Hargreaves, P.R.; Ruska, D.; Dorbe, A.; Kreismane, Dz; Klumpp, K.; Bloor, J.; Rees, R.M.; Kuipers, A.; Galama, P.; Váradyová, Z.; Čobanová, K.; Cieślak, A.;pmid: 39708734
Greenhouse gas (GHG) emissions from livestock ruminants, particularly methane (CH4), nitrous oxide, and indirectly ammonia (NH3) significantly contribute to climate change and global warming. Conventional monoculture swards for cattle feeding, such as perennial ryegrass or Italian ryegrass, usually require substantial fertiliser inputs. Such management elevates soil mineral nitrogen levels, resulting in GHG emissions and potential water contamination. Mitigating the environmental footprint of these farming practices requires sustainable alternative feeding strategies for cattle production. Multispecies grassland swards (grass + legumes or legumes + herbs) represent a promising alternative to monoculture grassland swards for cattle nutrition due to their reduced nitrogen requirements, excellent herbage yield, and polyphenolic compounds (tannins, formononetin, luteolin, quercetin, and acteoside) which may have positive effects on animals. This study investigated the effects of selected multispecies grassland swards (plant blends) on in vitro ruminal fermentation and DM digestibility. Three experimental blends of plants cultivated without fertilisers were utilised: (1) perennial ryegrass (PRG) + red clover (RC), (2) chicory (C) + red clover (RC), and (3) Tonic plantain (PLA) + red clover (RC). The control blend included perennial ryegrass (PRG), and red clover (RC) cultivated with fertiliser. The in vitro trial showed a reduction in CH4 production and ruminal NH3 concentration (by 14.7 and 28.8%, respectively; P < 0.01) in the PLA+RC blend compared to the control. This plant blend also increased propionate concentration (P < 0.05) and reduced acetate and butyrate concentrations and the acetate-propionate ratio (P < 0.01). Additionally, the total protozoal and methanogen counts were mostly reduced by the PLA+RC blend (P < 0.01) among all blends investigated. In conclusion, the Tonic plantain and red clover blend (PLA+RC) cultivated without fertilisers have the potential to be utilised as a sustainable alternative feed source for climate-friendly cattle production, aligning with the aims of the European Climate Care Cattle Farming project.
Animal arrow_drop_down Wageningen Staff PublicationsArticle . 2025License: CC BY NC NDData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101386&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Animal arrow_drop_down Wageningen Staff PublicationsArticle . 2025License: CC BY NC NDData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 ItalyPublisher:Elsevier BV Lanzoni L.; Reeves M. C.; Waxenberg K.; Ramsey R.; Atzori A. S.; Bell J.; Rees R. M.; Vignola G.; Dwyer C. M.;In the face of global climate threats, farm and land-management decisions must balance climate concerns with profitability, animal welfare, and ecosystem health. However, few comprehensive studies have quantified the relationship between animal welfare and greenhouse gas (GHG) emissions, and no study focuses specifically on sheep farms. The present study aims to quantify the effects of impaired welfare on GHG emissions for common welfare challenges faced in UK lowland (L) and hill (H) sheep farming systems. Two case study research farms in Scotland, representative of high welfare conditions, were used as baselines for semi-intensive L and extensive H systems. In this study, "high welfare conditions" are defined as situations where animals have access to adequate feeding, suitable housing, good health, and opportunities to express natural behaviours. From each high-welfare baseline, scenarios representing common levels of impaired welfare conditions were modelled, using parameters retrieved from the published literature. The selected poor-welfare scenarios included lameness, gastrointestinal nematodes, blowfly strike, liver fluke, inadequate shelter provision, inadequate feeding during lamb growth and late gestation, and high lamb mortality rate. GHG emissions were estimated "from-cradle-to-farm-gate" using Agrecalc ©, a Life Cycle Assessment tool for the agricultural sector. Total GHG emissions and emission intensities (EI) in kg of CO2 equivalent per kg live weight were compared across the baseline and the scenarios. Gross farm emissions and product-level EIs demonstrated divergent patterns in response to impaired welfare. Most impaired welfare scenarios led to a slight decrease in total farm emissions (0.03-3%), with a few exceptions. On the other hand, EI increased across all impaired welfare scenarios relative to the baseline, because meat production decreased by 1.3-16.6% across all impaired welfare scenarios, reducing resource use efficiency. Lameness was identified as particularly impactful, resulting in 18 and 10% increases in EI on H and L farms, respectively. This was primarily due to the high lamb mortality associated with lameness in published studies. Inadequate shelter provision was associated with an 8-15% increase in EI. Scenarios related to ineffective parasite control contributed to an EI increase ranging from 1 to 13%, while inadequate feeding management caused a 3-4% increase in EI. This study highlights the potential for reducing emission intensity through system-specific interventions, emphasising the importance of integrating animal welfare into GHG mitigation strategies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 ItalyPublisher:Elsevier BV Lanzoni L.; Reeves M. C.; Waxenberg K.; Ramsey R.; Atzori A. S.; Bell J.; Rees R. M.; Vignola G.; Dwyer C. M.;In the face of global climate threats, farm and land-management decisions must balance climate concerns with profitability, animal welfare, and ecosystem health. However, few comprehensive studies have quantified the relationship between animal welfare and greenhouse gas (GHG) emissions, and no study focuses specifically on sheep farms. The present study aims to quantify the effects of impaired welfare on GHG emissions for common welfare challenges faced in UK lowland (L) and hill (H) sheep farming systems. Two case study research farms in Scotland, representative of high welfare conditions, were used as baselines for semi-intensive L and extensive H systems. In this study, "high welfare conditions" are defined as situations where animals have access to adequate feeding, suitable housing, good health, and opportunities to express natural behaviours. From each high-welfare baseline, scenarios representing common levels of impaired welfare conditions were modelled, using parameters retrieved from the published literature. The selected poor-welfare scenarios included lameness, gastrointestinal nematodes, blowfly strike, liver fluke, inadequate shelter provision, inadequate feeding during lamb growth and late gestation, and high lamb mortality rate. GHG emissions were estimated "from-cradle-to-farm-gate" using Agrecalc ©, a Life Cycle Assessment tool for the agricultural sector. Total GHG emissions and emission intensities (EI) in kg of CO2 equivalent per kg live weight were compared across the baseline and the scenarios. Gross farm emissions and product-level EIs demonstrated divergent patterns in response to impaired welfare. Most impaired welfare scenarios led to a slight decrease in total farm emissions (0.03-3%), with a few exceptions. On the other hand, EI increased across all impaired welfare scenarios relative to the baseline, because meat production decreased by 1.3-16.6% across all impaired welfare scenarios, reducing resource use efficiency. Lameness was identified as particularly impactful, resulting in 18 and 10% increases in EI on H and L farms, respectively. This was primarily due to the high lamb mortality associated with lameness in published studies. Inadequate shelter provision was associated with an 8-15% increase in EI. Scenarios related to ineffective parasite control contributed to an EI increase ranging from 1 to 13%, while inadequate feeding management caused a 3-4% increase in EI. This study highlights the potential for reducing emission intensity through system-specific interventions, emphasising the importance of integrating animal welfare into GHG mitigation strategies.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Funded by:RCN | FACCE MACSUR 2: Modelling...RCN| FACCE MACSUR 2: Modelling European Agriculture with Climate Change for Food SecurityJ.K. Sommerseth; S. Shrestha; M. MacLeod; A. Hegrenes; B.G. Hansen; R. Salte;pmid: 39226780
Rearing of replacement heifers makes up a significant part of the total costs in dairy farming. Nevertheless, the average age at first calving for dairy heifers still stays well above 2 years in many countries. This study examined the economic and environmental impacts of increased heifer growth rates and reduced replacement rates on Norwegian dairy farms. The current average growth rate in Norway (baseline scenario) was compared to an accelerated growth rate scenario. Within each of the two growth rate scenarios, we compared three different cow replacement rates. A farm account survey dataset containing physical and economic data on 311 Norwegian farms was clustered into three farm groups: small, medium, and large. To model economic consequences, we used the whole-farm linear programming model ScotFarm. A life cycle analysis model was used to model the environmental impacts of the baseline scenario and an accelerated growth rate scenario on the three farm groups. Accelerated heifer growth rate had a positive effect (14-28%) on farm annual gross margin depending on farm size. While accelerated growth rate resulted in only minor reductions in total emissions at farm level compared to the baseline scenario, reduced replacement rate lowered total farm level emissions by up to 8%, and emissions per unit of output by up to 6%. We conclude that an accelerated heifer growth rate scenario could potentially increase farm gross margin by some 14-28% compared with a baseline growth rate scenario. Reducing the replacement rate would be more efficient to reduce farm-level greenhouse gas emissions.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Funded by:RCN | FACCE MACSUR 2: Modelling...RCN| FACCE MACSUR 2: Modelling European Agriculture with Climate Change for Food SecurityJ.K. Sommerseth; S. Shrestha; M. MacLeod; A. Hegrenes; B.G. Hansen; R. Salte;pmid: 39226780
Rearing of replacement heifers makes up a significant part of the total costs in dairy farming. Nevertheless, the average age at first calving for dairy heifers still stays well above 2 years in many countries. This study examined the economic and environmental impacts of increased heifer growth rates and reduced replacement rates on Norwegian dairy farms. The current average growth rate in Norway (baseline scenario) was compared to an accelerated growth rate scenario. Within each of the two growth rate scenarios, we compared three different cow replacement rates. A farm account survey dataset containing physical and economic data on 311 Norwegian farms was clustered into three farm groups: small, medium, and large. To model economic consequences, we used the whole-farm linear programming model ScotFarm. A life cycle analysis model was used to model the environmental impacts of the baseline scenario and an accelerated growth rate scenario on the three farm groups. Accelerated heifer growth rate had a positive effect (14-28%) on farm annual gross margin depending on farm size. While accelerated growth rate resulted in only minor reductions in total emissions at farm level compared to the baseline scenario, reduced replacement rate lowered total farm level emissions by up to 8%, and emissions per unit of output by up to 6%. We conclude that an accelerated heifer growth rate scenario could potentially increase farm gross margin by some 14-28% compared with a baseline growth rate scenario. Reducing the replacement rate would be more efficient to reduce farm-level greenhouse gas emissions.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 Italy, Netherlands, Sweden, United KingdomPublisher:Elsevier BV Kipling, R.P.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Faverdin, P.; Graux, A.I.; Hutchings, N.J.; Kyriazakis, I.; Macleod, M.; Østergaard, S.; Robinson, T.P.; Vitali, A.; Ahmadi, B.V.; Özkan, Seyda;Improved animal health can reduce greenhouse gas (GHG) emissions intensity in livestock systems while increasing productivity. Integrated modelling of disease impacts on farm-scale emissions is important in identifying effective health strategies to reduce emissions. However, it requires that modellers understand the pathways linking animal health to emissions and how these might be incorporated into models. A key barrier to meeting this need has been the lack of a framework to facilitate effective exchange of knowledge and data between animal health experts and emissions modellers. Here, these two communities engaged in workshops, online exchanges and a survey to i) identify a comprehensive list of disease-related model parameters and ii) test its application to evaluating models. Fifty-six parameters were identified and proved effective in assessing the potential of farm-scale models to characterise livestock disease impacts on GHG emissions. Easy wins for the emissions models surveyed include characterising disease impacts related to feeding.
SLU publication data... arrow_drop_down Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsQueen's University Belfast Research PortalArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2020.100023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert SLU publication data... arrow_drop_down Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsQueen's University Belfast Research PortalArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2020.100023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 Italy, Netherlands, Sweden, United KingdomPublisher:Elsevier BV Kipling, R.P.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Faverdin, P.; Graux, A.I.; Hutchings, N.J.; Kyriazakis, I.; Macleod, M.; Østergaard, S.; Robinson, T.P.; Vitali, A.; Ahmadi, B.V.; Özkan, Seyda;Improved animal health can reduce greenhouse gas (GHG) emissions intensity in livestock systems while increasing productivity. Integrated modelling of disease impacts on farm-scale emissions is important in identifying effective health strategies to reduce emissions. However, it requires that modellers understand the pathways linking animal health to emissions and how these might be incorporated into models. A key barrier to meeting this need has been the lack of a framework to facilitate effective exchange of knowledge and data between animal health experts and emissions modellers. Here, these two communities engaged in workshops, online exchanges and a survey to i) identify a comprehensive list of disease-related model parameters and ii) test its application to evaluating models. Fifty-six parameters were identified and proved effective in assessing the potential of farm-scale models to characterise livestock disease impacts on GHG emissions. Easy wins for the emissions models surveyed include characterising disease impacts related to feeding.
SLU publication data... arrow_drop_down Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsQueen's University Belfast Research PortalArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2020.100023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert SLU publication data... arrow_drop_down Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsQueen's University Belfast Research PortalArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2020.100023&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | GenTOREEC| GenTOREBurns, J.G.; Eory, V.; Butler, A.; Simm, G.; Wall, E.;pmid: 35588584
Breeding objectives of livestock and other agricultural species are usually profit maximising. The selection emphasis placed on specific traits to achieve a breeding objective is often informed by the financial value of a trait to a farm system. However, there are alternative, and complementary approaches to defining both the breeding objective and the selection emphasis placed on traits that are included in associated selection tools. These are based on the preferences of stakeholders, which are often heterogeneous and include broader values and motivations than profit. In this regard, stated preference methods are useful when considering traits that have either no discernible market value or whose value is not fully transferred via the market. Such approaches can guide more appropriate breeding decisions that are amenable to changing societal values, for example with reduced negative environmental externalities. However, while stated preference methods offer promising conceptualisations of value in genetic improvement programmes, there is still a substantial knowledge gap in terms of the current state of research and a catalogue of publications to date. This paper reviews publications of stated preference approaches in the field of livestock breeding (and some relevant crop breeding examples), providing a knowledge base of published applications and promoting their continued development and implementation towards the formulation of appropriate breeding objectives and selection indices. A systematic review of 84 peer-reviewed publications and an aggregate ranking of traits for the most commonly studied subject (cattle) reveals uncertainty in preference estimates which may be driven by (i) a diverse set of non-standardised methodologies, (ii) common oversights in the selection, inclusion and description of traits, and (iii) inaccurate representations of the respondent population. We discuss key considerations to help overcome these limitations, including avoiding methodological confinement to a disciplinary silo and reducing complexity so that the values of broader respondent groups may be accounted for.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2022.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2022.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | GenTOREEC| GenTOREBurns, J.G.; Eory, V.; Butler, A.; Simm, G.; Wall, E.;pmid: 35588584
Breeding objectives of livestock and other agricultural species are usually profit maximising. The selection emphasis placed on specific traits to achieve a breeding objective is often informed by the financial value of a trait to a farm system. However, there are alternative, and complementary approaches to defining both the breeding objective and the selection emphasis placed on traits that are included in associated selection tools. These are based on the preferences of stakeholders, which are often heterogeneous and include broader values and motivations than profit. In this regard, stated preference methods are useful when considering traits that have either no discernible market value or whose value is not fully transferred via the market. Such approaches can guide more appropriate breeding decisions that are amenable to changing societal values, for example with reduced negative environmental externalities. However, while stated preference methods offer promising conceptualisations of value in genetic improvement programmes, there is still a substantial knowledge gap in terms of the current state of research and a catalogue of publications to date. This paper reviews publications of stated preference approaches in the field of livestock breeding (and some relevant crop breeding examples), providing a knowledge base of published applications and promoting their continued development and implementation towards the formulation of appropriate breeding objectives and selection indices. A systematic review of 84 peer-reviewed publications and an aggregate ranking of traits for the most commonly studied subject (cattle) reveals uncertainty in preference estimates which may be driven by (i) a diverse set of non-standardised methodologies, (ii) common oversights in the selection, inclusion and description of traits, and (iii) inaccurate representations of the respondent population. We discuss key considerations to help overcome these limitations, including avoiding methodological confinement to a disciplinary silo and reducing complexity so that the values of broader respondent groups may be accounted for.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2022.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2022.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 Netherlands, France, Australia, FrancePublisher:Elsevier BV Pierre J. Gerber; Pierre J. Gerber; Timothy P. Robinson; Alessandra Falcucci; Benjamin B. Henderson; Henning Steinfeld; C. Opio; G. Tempio; Michael MacLeod; Harinder P. S. Makkar; Theun Vellinga; Anne Mottet;The livestock sector is one of the fastest growing subsectors of the agricultural economy and, while it makes a major contribution to global food supply and economic development, it also consumes significant amounts of natural resources and alters the environment. In order to improve our understanding of the global environmental impact of livestock supply chains, the Food and Agriculture Organization of the United Nations has developed the Global Livestock Environmental Assessment Model (GLEAM). The purpose of this paper is to provide a review of GLEAM. Specifically, it explains the model architecture, methods and functionality, that is the types of analysis that the model can perform. The model focuses primarily on the quantification of greenhouse gases emissions arising from the production of the 11 main livestock commodities. The model inputs and outputs are managed and produced as raster data sets, with spatial resolution of 0.05 decimal degrees. The Global Livestock Environmental Assessment Model v1.0 consists of five distinct modules: (a) the Herd Module; (b) the Manure Module; (c) the Feed Module; (d) the System Module; (e) the Allocation Module. In terms of the modelling approach, GLEAM has several advantages. For example spatial information on livestock distributions and crops yields enables rations to be derived that reflect the local availability of feed resources in developing countries. The Global Livestock Environmental Assessment Model also contains a herd model that enables livestock statistics to be disaggregated and variation in livestock performance and management to be captured. Priorities for future development of GLEAM include: improving data quality and the methods used to perform emissions calculations; extending the scope of the model to include selected additional environmental impacts and to enable predictive modelling; and improving the utility of GLEAM output.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BY NC NDFull-Text: https://hdl.handle.net/10568/90511Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731117001847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 57 citations 57 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BY NC NDFull-Text: https://hdl.handle.net/10568/90511Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731117001847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 Netherlands, France, Australia, FrancePublisher:Elsevier BV Pierre J. Gerber; Pierre J. Gerber; Timothy P. Robinson; Alessandra Falcucci; Benjamin B. Henderson; Henning Steinfeld; C. Opio; G. Tempio; Michael MacLeod; Harinder P. S. Makkar; Theun Vellinga; Anne Mottet;The livestock sector is one of the fastest growing subsectors of the agricultural economy and, while it makes a major contribution to global food supply and economic development, it also consumes significant amounts of natural resources and alters the environment. In order to improve our understanding of the global environmental impact of livestock supply chains, the Food and Agriculture Organization of the United Nations has developed the Global Livestock Environmental Assessment Model (GLEAM). The purpose of this paper is to provide a review of GLEAM. Specifically, it explains the model architecture, methods and functionality, that is the types of analysis that the model can perform. The model focuses primarily on the quantification of greenhouse gases emissions arising from the production of the 11 main livestock commodities. The model inputs and outputs are managed and produced as raster data sets, with spatial resolution of 0.05 decimal degrees. The Global Livestock Environmental Assessment Model v1.0 consists of five distinct modules: (a) the Herd Module; (b) the Manure Module; (c) the Feed Module; (d) the System Module; (e) the Allocation Module. In terms of the modelling approach, GLEAM has several advantages. For example spatial information on livestock distributions and crops yields enables rations to be derived that reflect the local availability of feed resources in developing countries. The Global Livestock Environmental Assessment Model also contains a herd model that enables livestock statistics to be disaggregated and variation in livestock performance and management to be captured. Priorities for future development of GLEAM include: improving data quality and the methods used to perform emissions calculations; extending the scope of the model to include selected additional environmental impacts and to enable predictive modelling; and improving the utility of GLEAM output.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BY NC NDFull-Text: https://hdl.handle.net/10568/90511Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731117001847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 57 citations 57 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BY NC NDFull-Text: https://hdl.handle.net/10568/90511Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731117001847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Publisher:Elsevier BV Shane M. Troy; Pol Llonch; C-A Duthie; Miguel Somarriba; John Rooke; Marie J. Haskell; Rainer Roehe; Simon P. Turner;pmid: 29606168
In beef cattle, feeding behaviour and activity are associated with feed efficiency and methane (CH4) emissions. This study aimed to understand the underlying traits responsible for the contribution of cattle behaviour to individual differences in feed efficiency, performance and CH4 emissions. A total of 84 steers (530±114 kg BW) of two different breeds (crossbreed Charolais and Luing) were used. The experiment was a 2×2×3 factorial design with breed, basal diets (concentrate v. mixed) and dietary treatments (no additive, calcium nitrate or rapeseed cake) as the main factors. The individual dry matter intake (DMI; kg) was recorded daily and the BW was measured weekly over a 56-day period. Ultrasound fat depth was measured on day 56. Based on the previous data, the indexes average daily gain, food conversion and residual feed intake (RFI) were calculated. The frequency of meals, the duration per visit and the time spent feeding per day were taken as feeding behaviour measures. Daily activity was measured using the number of steps, the number of standing bouts and the time standing per day. Agonistic interactions (including the number of contacts, aggressive interactions, and displacements per day) between steers at the feeders were assessed as indicators of dominance. Temperament was assessed using the crush score test (which measures restlessness when restrained) and the flight speed on release from restraint. Statistical analysis was performed using multivariate regression models. Steers that spent more time eating showed better feed efficiency (P=0.039), which can be due to greater secretion of saliva. Feeding time was longer with the mixed diet (P<0.001), Luings (P=0.009) and dominant steers (P=0.032). Higher activity (more steps) in the pen was associated with poorer RFI, possibly because of higher energy expenditure for muscle activity. Frequent meals contributed to a reduction in CH4 emissions per kg DMI. The meal frequency was higher with a mixed diet (P<0.001) and increased in more temperamental (P=0.003) and dominant (P=0.017) steers. In addition, feed intake was lower (P=0.032) in more temperamental steers. This study reveals that efficiency increases with a longer feeding time and CH4 emissions decrease with more frequent meals. As dominant steers eat more frequently and for longer, a reduction in competition at the feeder would improve both feed efficiency and CH4 emissions. Feed efficiency can also be improved through a reduction in activity. Selection for calmer cattle would reduce activity and increase feed intake, which may improve feed efficiency and promote growth, respectively.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731118000617&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731118000617&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Publisher:Elsevier BV Shane M. Troy; Pol Llonch; C-A Duthie; Miguel Somarriba; John Rooke; Marie J. Haskell; Rainer Roehe; Simon P. Turner;pmid: 29606168
In beef cattle, feeding behaviour and activity are associated with feed efficiency and methane (CH4) emissions. This study aimed to understand the underlying traits responsible for the contribution of cattle behaviour to individual differences in feed efficiency, performance and CH4 emissions. A total of 84 steers (530±114 kg BW) of two different breeds (crossbreed Charolais and Luing) were used. The experiment was a 2×2×3 factorial design with breed, basal diets (concentrate v. mixed) and dietary treatments (no additive, calcium nitrate or rapeseed cake) as the main factors. The individual dry matter intake (DMI; kg) was recorded daily and the BW was measured weekly over a 56-day period. Ultrasound fat depth was measured on day 56. Based on the previous data, the indexes average daily gain, food conversion and residual feed intake (RFI) were calculated. The frequency of meals, the duration per visit and the time spent feeding per day were taken as feeding behaviour measures. Daily activity was measured using the number of steps, the number of standing bouts and the time standing per day. Agonistic interactions (including the number of contacts, aggressive interactions, and displacements per day) between steers at the feeders were assessed as indicators of dominance. Temperament was assessed using the crush score test (which measures restlessness when restrained) and the flight speed on release from restraint. Statistical analysis was performed using multivariate regression models. Steers that spent more time eating showed better feed efficiency (P=0.039), which can be due to greater secretion of saliva. Feeding time was longer with the mixed diet (P<0.001), Luings (P=0.009) and dominant steers (P=0.032). Higher activity (more steps) in the pen was associated with poorer RFI, possibly because of higher energy expenditure for muscle activity. Frequent meals contributed to a reduction in CH4 emissions per kg DMI. The meal frequency was higher with a mixed diet (P<0.001) and increased in more temperamental (P=0.003) and dominant (P=0.017) steers. In addition, feed intake was lower (P=0.032) in more temperamental steers. This study reveals that efficiency increases with a longer feeding time and CH4 emissions decrease with more frequent meals. As dominant steers eat more frequently and for longer, a reduction in competition at the feeder would improve both feed efficiency and CH4 emissions. Feed efficiency can also be improved through a reduction in activity. Selection for calmer cattle would reduce activity and increase feed intake, which may improve feed efficiency and promote growth, respectively.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:Elsevier BV Richard Dooso Oloo; Chinyere Ekine-Dzivenu; Raphael Mrode; Jörn Bennewitz; Julie M.K. Ojango; G. Kipkosgei; G. Gebreyohanes; A.M. Okeyo; M.G.G. Chagunda;L'augmentation des températures mondiales induite par le changement climatique a intensifié le stress thermique sur les bovins laitiers et contribue à la faible productivité laitière généralement observée. L'élevage sélectif visant à améliorer la capacité des animaux à résister à la hausse des températures tout en maintenant des performances optimales est crucial pour assurer l'accès futur aux produits laitiers. Cependant, les indicateurs phénotypiques de la tolérance à la chaleur ne sont pas encore effectivement pris en compte dans les objectifs de la plupart des programmes d'élevage sélectif. Cette étude a examiné la réponse de la production laitière à l'évolution de la charge thermique en tant qu'indication de la tolérance à la chaleur et l'influence de la saison de vêlage sur cette réponse chez les bovins laitiers de races multiples présents dans trois zones agroécologiques au Kenya. Le rendement laitier moyen de 7 jours de première parité (65 261 enregistrements de lait) de 1 739 vaches a été analysé. Sur la base des données météorologiques régulièrement enregistrées et accessibles en ligne, l'indice de température et d'humidité (THI) a été calculé et utilisé comme mesure de la charge calorifique. LES mesures utilisées représentaient les moyennes des mêmes périodes de 7 jours correspondant à chaque enregistrement de lait moyen de 7 jours. Les modèles de régression aléatoire, y compris les fonctions de la norme de réaction, ont été ajustés pour dériver deux indicateurs de résilience : la pente de la norme de réaction (pente) et sa valeur absolue (absolue), reflétant les changements dans le rendement du lait en réponse aux charges thermiques variables (THI 50 et THI 80). Les paramètres génétiques de ces indicateurs ont été estimés et leurs associations avec le rendement moyen en lait au jour d'essai ont été examinées. Il n'y avait pas de différences substantielles dans le modèle de réponse du rendement laitier à la charge thermique entre le vêlage des vaches en saison sèche et humide. Les animaux avec des gènes Bos taurus ≤50 % étaient les plus thermotolérants à des niveaux de charge thermique extrêmement élevés. Les animaux se produisant dans des environnements semi-arides présentaient la capacité de tolérance à la chaleur la plus élevée. Les estimations d'héritabilité pour ces indicateurs variaient de 0,06 à 0,33 et étaient pour la plupart significativement différentes de zéro (P<0,05). La pente à THI 80 avait des corrélations négatives élevées (0,64-0,71) avec le rendement laitier quotidien moyen, révélant que les vaches hautement productrices sont plus vulnérables au stress thermique et vice versa. Une corrélation positive élevée (0,63-0,74) a été observée entre le rendement laitier absolu et moyen à THI 80. Cela impliquait que les vaches à faible production laitière avaient une production laitière plus stable dans des conditions de stress thermique et vice versa. L'étude a démontré que la pente des normes de réaction et sa valeur absolue peuvent mesurer efficacement la résilience des bovins laitiers croisés à des conditions de charge thermique variables. Les implications de ces résultats sont précieuses pour améliorer la tolérance à la chaleur des espèces animales grâce à la sélection génétique. El aumento de las temperaturas globales inducido por el cambio climático ha intensificado el estrés por calor en el ganado lechero y está contribuyendo a la baja productividad de la leche generalmente observada. La cría selectiva destinada a mejorar la capacidad de los animales para soportar el aumento de las temperaturas y mantener un rendimiento óptimo es crucial para garantizar el acceso futuro a los productos lácteos. Sin embargo, los indicadores fenotípicos de tolerancia al calor aún no se han tenido en cuenta de manera efectiva en los objetivos de la mayoría de los programas de reproducción selectiva. Este estudio investigó la respuesta de la producción de leche a la carga de calor cambiante como una indicación de la tolerancia al calor y la influencia de la temporada de parto en esta respuesta en ganado lechero de razas múltiples que se desempeña en tres zonas agroecológicas de Kenia. Se analizó el rendimiento lechero medio de 7 días de primera paridad (65 261 registros lecheros) de 1 739 vacas. Con base en los datos meteorológicos registrados de forma rutinaria que eran accesibles en línea, se calculó el Índice de Temperatura-Humedad (THI) y se utilizó como una medida de la carga de calor. Estas mediciones utilizadas representaron promedios de los mismos períodos de 7 días correspondientes a cada registro medio de leche de 7 días. Los modelos de regresión aleatoria, incluidas las funciones de la norma de reacción, se ajustaron para derivar dos indicadores de resiliencia: pendiente de la norma de reacción (pendiente) y su valor absoluto (absoluto), que reflejan los cambios en el rendimiento de la leche en respuesta a las diferentes cargas de calor (THI 50 y THI 80). Se estimaron los parámetros genéticos de estos indicadores y se examinaron sus asociaciones con el rendimiento medio de la leche del día de prueba. No hubo diferencias sustanciales en el patrón de respuesta del rendimiento de la leche a la carga de calor entre las vacas que paren en las estaciones seca y húmeda. Los animales con ≤50% de genes de Bos taurus fueron los más termotolerantes a niveles de carga de calor extremadamente altos. Los animales que actuaban en ambientes semiáridos mostraron la mayor capacidad de tolerancia al calor. Las estimaciones de heredabilidad para estos indicadores oscilaron entre 0,06 y 0,33 y en su mayoría fueron significativamente diferentes de cero (P<0,05). La pendiente en THI 80 tuvo altas correlaciones negativas (0.64-0.71) con el rendimiento medio diario de leche, revelando que las vacas de alta producción son más vulnerables al estrés por calor y viceversa. Se observó una alta correlación positiva (0.63-0.74) entre el rendimiento absoluto y el rendimiento medio de la leche a THI 80. Esto implicaba que las vacas con baja producción de leche tienen una producción de leche más estable en condiciones de estrés por calor y viceversa. El estudio demostró que la pendiente de las normas de reacción y su valor absoluto pueden medir de manera efectiva la resiliencia del ganado lechero cruzado a diferentes condiciones de carga de calor. Las implicaciones de estos hallazgos son valiosas para mejorar la tolerancia al calor de las especies ganaderas a través de la selección genética. Climate change-induced rise in global temperatures has intensified heat stress on dairy cattle and is contributing to the generally observed low milk productivity. Selective breeding aimed at enhancing animals' ability to withstand rising temperatures while maintaining optimal performance is crucial for ensuring future access to dairy products. However, phenotypic indicators of heat tolerance are yet to be effectively factored in the objectives of most selective breeding programs. This study investigated the response of milk production to changing heat load as an indication of heat tolerance and the influence of calving season on this response in multibreed dairy cattle performing in three agroecological zones Kenya. First-parity 7-day average milk yield (65 261 milk records) of 1 739 cows were analyzed. Based on routinely recorded weather data that were accessible online, the Temperature-Humidity Index (THI) was calculated and used as a measure of heat load. THI measurements used represented averages of the same 7-day periods corresponding to each 7-day average milk record. Random regression models, including reaction norm functions, were fitted to derive two resilience indicators: slope of the reaction norm (Slope) and its absolute value (Absolute), reflecting changes in milk yield in response to the varying heat loads (THI 50 and THI 80). The genetic parameters of these indicators were estimated, and their associations with average test-day milk yield were examined. There were no substantial differences in the pattern of milk yield response to heat load between cows calving in dry and wet seasons. Animals with ≤50% Bos taurus genes were the most thermotolerant at extremely high heat load levels. Animals performing in semi-arid environments exhibited the highest heat tolerance capacity. Heritability estimates for these indicators ranged from 0.06 to 0.33 and were mostly significantly different from zero (P<0.05). Slope at THI 80 had high (0.64-0.71) negative correlations with average daily milk yield, revealing that high-producing cows are more vulnerable to heat stress and vice versa. A high (0.63-0.74) positive correlation was observed between Absolute and average milk yield at THI 80. This implied that low milk-producing cows have a more stable milk production under heat-stress conditions and vice versa. The study demonstrated that the slope of the reaction norms and its absolute value can effectively measure the resilience of crossbred dairy cattle to varying heat load conditions. The implications of these findings are valuable in improving the heat tolerance of livestock species through genetic selection. أدى الارتفاع الناجم عن تغير المناخ في درجات الحرارة العالمية إلى تكثيف الإجهاد الحراري على الماشية الحلوب ويسهم في انخفاض إنتاجية الحليب بشكل عام. إن التربية الانتقائية التي تهدف إلى تعزيز قدرة الحيوانات على تحمل ارتفاع درجات الحرارة مع الحفاظ على الأداء الأمثل أمر بالغ الأهمية لضمان الوصول في المستقبل إلى منتجات الألبان. ومع ذلك، فإن مؤشرات النمط الظاهري لتحمل الحرارة لم تؤخذ بعد في الاعتبار بشكل فعال في أهداف معظم برامج التكاثر الانتقائية. بحثت هذه الدراسة في استجابة إنتاج الحليب لتغير الحمل الحراري كمؤشر على تحمل الحرارة وتأثير موسم الولادة على هذه الاستجابة في الماشية الحلوب متعددة السلالات التي تعمل في ثلاث مناطق زراعية إيكولوجية في كينيا. تم تحليل متوسط إنتاج الحليب لمدة 7 أيام (65261 سجل حليب) من 1739 بقرة. استنادًا إلى بيانات الطقس المسجلة بشكل روتيني والتي يمكن الوصول إليها عبر الإنترنت، تم حساب مؤشر درجة الحرارة والرطوبة (THI) واستخدامه كمقياس للحمل الحراري. تمثل هذه القياسات المستخدمة متوسطات لنفس فترات 7 أيام المقابلة لكل سجل حليب متوسط لمدة 7 أيام. تم تركيب نماذج الانحدار العشوائي، بما في ذلك وظائف معيار التفاعل، لاستخلاص مؤشرين للمرونة: ميل معيار التفاعل (المنحدر) وقيمته المطلقة (المطلق)، مما يعكس التغيرات في إنتاجية الحليب استجابة للأحمال الحرارية المتفاوتة (THI 50 و THI 80). تم تقدير المعلمات الوراثية لهذه المؤشرات، وتم فحص ارتباطاتها بمتوسط إنتاجية الحليب في يوم الاختبار. لم تكن هناك اختلافات جوهرية في نمط استجابة غلة الحليب للحمل الحراري بين الأبقار التي تلد في المواسم الجافة والرطبة. كانت الحيوانات التي تحتوي على ≤50 ٪ من جينات الثور البوس هي الأكثر تحملاً للحرارة عند مستويات حمل حراري عالية للغاية. أظهرت الحيوانات التي تعمل في البيئات شبه القاحلة أعلى قدرة على تحمل الحرارة. تراوحت تقديرات التوريث لهذه المؤشرات من 0.06 إلى 0.33 وكانت في الغالب مختلفة بشكل كبير عن الصفر (P<0.05). كان للمنحدر عند THI 80 ارتباطات سلبية عالية (0.64-0.71) مع متوسط إنتاج الحليب اليومي، مما يكشف عن أن الأبقار عالية الإنتاج أكثر عرضة للإجهاد الحراري والعكس صحيح. لوحظ وجود ارتباط إيجابي مرتفع (0.63-0.74) بين إنتاج الحليب المطلق والمتوسط عند 80. وهذا يعني أن الأبقار ذات الإنتاج المنخفض للحليب لديها إنتاج حليب أكثر استقرارًا في ظل ظروف الإجهاد الحراري والعكس صحيح. أظهرت الدراسة أن منحدر معايير التفاعل وقيمته المطلقة يمكن أن يقيس بشكل فعال مرونة الماشية الحلوب المهجنة لظروف الحمل الحراري المتفاوتة. إن الآثار المترتبة على هذه النتائج ذات قيمة في تحسين تحمل الحرارة لأنواع الماشية من خلال الانتقاء الجيني.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101139&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:Elsevier BV Richard Dooso Oloo; Chinyere Ekine-Dzivenu; Raphael Mrode; Jörn Bennewitz; Julie M.K. Ojango; G. Kipkosgei; G. Gebreyohanes; A.M. Okeyo; M.G.G. Chagunda;L'augmentation des températures mondiales induite par le changement climatique a intensifié le stress thermique sur les bovins laitiers et contribue à la faible productivité laitière généralement observée. L'élevage sélectif visant à améliorer la capacité des animaux à résister à la hausse des températures tout en maintenant des performances optimales est crucial pour assurer l'accès futur aux produits laitiers. Cependant, les indicateurs phénotypiques de la tolérance à la chaleur ne sont pas encore effectivement pris en compte dans les objectifs de la plupart des programmes d'élevage sélectif. Cette étude a examiné la réponse de la production laitière à l'évolution de la charge thermique en tant qu'indication de la tolérance à la chaleur et l'influence de la saison de vêlage sur cette réponse chez les bovins laitiers de races multiples présents dans trois zones agroécologiques au Kenya. Le rendement laitier moyen de 7 jours de première parité (65 261 enregistrements de lait) de 1 739 vaches a été analysé. Sur la base des données météorologiques régulièrement enregistrées et accessibles en ligne, l'indice de température et d'humidité (THI) a été calculé et utilisé comme mesure de la charge calorifique. LES mesures utilisées représentaient les moyennes des mêmes périodes de 7 jours correspondant à chaque enregistrement de lait moyen de 7 jours. Les modèles de régression aléatoire, y compris les fonctions de la norme de réaction, ont été ajustés pour dériver deux indicateurs de résilience : la pente de la norme de réaction (pente) et sa valeur absolue (absolue), reflétant les changements dans le rendement du lait en réponse aux charges thermiques variables (THI 50 et THI 80). Les paramètres génétiques de ces indicateurs ont été estimés et leurs associations avec le rendement moyen en lait au jour d'essai ont été examinées. Il n'y avait pas de différences substantielles dans le modèle de réponse du rendement laitier à la charge thermique entre le vêlage des vaches en saison sèche et humide. Les animaux avec des gènes Bos taurus ≤50 % étaient les plus thermotolérants à des niveaux de charge thermique extrêmement élevés. Les animaux se produisant dans des environnements semi-arides présentaient la capacité de tolérance à la chaleur la plus élevée. Les estimations d'héritabilité pour ces indicateurs variaient de 0,06 à 0,33 et étaient pour la plupart significativement différentes de zéro (P<0,05). La pente à THI 80 avait des corrélations négatives élevées (0,64-0,71) avec le rendement laitier quotidien moyen, révélant que les vaches hautement productrices sont plus vulnérables au stress thermique et vice versa. Une corrélation positive élevée (0,63-0,74) a été observée entre le rendement laitier absolu et moyen à THI 80. Cela impliquait que les vaches à faible production laitière avaient une production laitière plus stable dans des conditions de stress thermique et vice versa. L'étude a démontré que la pente des normes de réaction et sa valeur absolue peuvent mesurer efficacement la résilience des bovins laitiers croisés à des conditions de charge thermique variables. Les implications de ces résultats sont précieuses pour améliorer la tolérance à la chaleur des espèces animales grâce à la sélection génétique. El aumento de las temperaturas globales inducido por el cambio climático ha intensificado el estrés por calor en el ganado lechero y está contribuyendo a la baja productividad de la leche generalmente observada. La cría selectiva destinada a mejorar la capacidad de los animales para soportar el aumento de las temperaturas y mantener un rendimiento óptimo es crucial para garantizar el acceso futuro a los productos lácteos. Sin embargo, los indicadores fenotípicos de tolerancia al calor aún no se han tenido en cuenta de manera efectiva en los objetivos de la mayoría de los programas de reproducción selectiva. Este estudio investigó la respuesta de la producción de leche a la carga de calor cambiante como una indicación de la tolerancia al calor y la influencia de la temporada de parto en esta respuesta en ganado lechero de razas múltiples que se desempeña en tres zonas agroecológicas de Kenia. Se analizó el rendimiento lechero medio de 7 días de primera paridad (65 261 registros lecheros) de 1 739 vacas. Con base en los datos meteorológicos registrados de forma rutinaria que eran accesibles en línea, se calculó el Índice de Temperatura-Humedad (THI) y se utilizó como una medida de la carga de calor. Estas mediciones utilizadas representaron promedios de los mismos períodos de 7 días correspondientes a cada registro medio de leche de 7 días. Los modelos de regresión aleatoria, incluidas las funciones de la norma de reacción, se ajustaron para derivar dos indicadores de resiliencia: pendiente de la norma de reacción (pendiente) y su valor absoluto (absoluto), que reflejan los cambios en el rendimiento de la leche en respuesta a las diferentes cargas de calor (THI 50 y THI 80). Se estimaron los parámetros genéticos de estos indicadores y se examinaron sus asociaciones con el rendimiento medio de la leche del día de prueba. No hubo diferencias sustanciales en el patrón de respuesta del rendimiento de la leche a la carga de calor entre las vacas que paren en las estaciones seca y húmeda. Los animales con ≤50% de genes de Bos taurus fueron los más termotolerantes a niveles de carga de calor extremadamente altos. Los animales que actuaban en ambientes semiáridos mostraron la mayor capacidad de tolerancia al calor. Las estimaciones de heredabilidad para estos indicadores oscilaron entre 0,06 y 0,33 y en su mayoría fueron significativamente diferentes de cero (P<0,05). La pendiente en THI 80 tuvo altas correlaciones negativas (0.64-0.71) con el rendimiento medio diario de leche, revelando que las vacas de alta producción son más vulnerables al estrés por calor y viceversa. Se observó una alta correlación positiva (0.63-0.74) entre el rendimiento absoluto y el rendimiento medio de la leche a THI 80. Esto implicaba que las vacas con baja producción de leche tienen una producción de leche más estable en condiciones de estrés por calor y viceversa. El estudio demostró que la pendiente de las normas de reacción y su valor absoluto pueden medir de manera efectiva la resiliencia del ganado lechero cruzado a diferentes condiciones de carga de calor. Las implicaciones de estos hallazgos son valiosas para mejorar la tolerancia al calor de las especies ganaderas a través de la selección genética. Climate change-induced rise in global temperatures has intensified heat stress on dairy cattle and is contributing to the generally observed low milk productivity. Selective breeding aimed at enhancing animals' ability to withstand rising temperatures while maintaining optimal performance is crucial for ensuring future access to dairy products. However, phenotypic indicators of heat tolerance are yet to be effectively factored in the objectives of most selective breeding programs. This study investigated the response of milk production to changing heat load as an indication of heat tolerance and the influence of calving season on this response in multibreed dairy cattle performing in three agroecological zones Kenya. First-parity 7-day average milk yield (65 261 milk records) of 1 739 cows were analyzed. Based on routinely recorded weather data that were accessible online, the Temperature-Humidity Index (THI) was calculated and used as a measure of heat load. THI measurements used represented averages of the same 7-day periods corresponding to each 7-day average milk record. Random regression models, including reaction norm functions, were fitted to derive two resilience indicators: slope of the reaction norm (Slope) and its absolute value (Absolute), reflecting changes in milk yield in response to the varying heat loads (THI 50 and THI 80). The genetic parameters of these indicators were estimated, and their associations with average test-day milk yield were examined. There were no substantial differences in the pattern of milk yield response to heat load between cows calving in dry and wet seasons. Animals with ≤50% Bos taurus genes were the most thermotolerant at extremely high heat load levels. Animals performing in semi-arid environments exhibited the highest heat tolerance capacity. Heritability estimates for these indicators ranged from 0.06 to 0.33 and were mostly significantly different from zero (P<0.05). Slope at THI 80 had high (0.64-0.71) negative correlations with average daily milk yield, revealing that high-producing cows are more vulnerable to heat stress and vice versa. A high (0.63-0.74) positive correlation was observed between Absolute and average milk yield at THI 80. This implied that low milk-producing cows have a more stable milk production under heat-stress conditions and vice versa. The study demonstrated that the slope of the reaction norms and its absolute value can effectively measure the resilience of crossbred dairy cattle to varying heat load conditions. The implications of these findings are valuable in improving the heat tolerance of livestock species through genetic selection. أدى الارتفاع الناجم عن تغير المناخ في درجات الحرارة العالمية إلى تكثيف الإجهاد الحراري على الماشية الحلوب ويسهم في انخفاض إنتاجية الحليب بشكل عام. إن التربية الانتقائية التي تهدف إلى تعزيز قدرة الحيوانات على تحمل ارتفاع درجات الحرارة مع الحفاظ على الأداء الأمثل أمر بالغ الأهمية لضمان الوصول في المستقبل إلى منتجات الألبان. ومع ذلك، فإن مؤشرات النمط الظاهري لتحمل الحرارة لم تؤخذ بعد في الاعتبار بشكل فعال في أهداف معظم برامج التكاثر الانتقائية. بحثت هذه الدراسة في استجابة إنتاج الحليب لتغير الحمل الحراري كمؤشر على تحمل الحرارة وتأثير موسم الولادة على هذه الاستجابة في الماشية الحلوب متعددة السلالات التي تعمل في ثلاث مناطق زراعية إيكولوجية في كينيا. تم تحليل متوسط إنتاج الحليب لمدة 7 أيام (65261 سجل حليب) من 1739 بقرة. استنادًا إلى بيانات الطقس المسجلة بشكل روتيني والتي يمكن الوصول إليها عبر الإنترنت، تم حساب مؤشر درجة الحرارة والرطوبة (THI) واستخدامه كمقياس للحمل الحراري. تمثل هذه القياسات المستخدمة متوسطات لنفس فترات 7 أيام المقابلة لكل سجل حليب متوسط لمدة 7 أيام. تم تركيب نماذج الانحدار العشوائي، بما في ذلك وظائف معيار التفاعل، لاستخلاص مؤشرين للمرونة: ميل معيار التفاعل (المنحدر) وقيمته المطلقة (المطلق)، مما يعكس التغيرات في إنتاجية الحليب استجابة للأحمال الحرارية المتفاوتة (THI 50 و THI 80). تم تقدير المعلمات الوراثية لهذه المؤشرات، وتم فحص ارتباطاتها بمتوسط إنتاجية الحليب في يوم الاختبار. لم تكن هناك اختلافات جوهرية في نمط استجابة غلة الحليب للحمل الحراري بين الأبقار التي تلد في المواسم الجافة والرطبة. كانت الحيوانات التي تحتوي على ≤50 ٪ من جينات الثور البوس هي الأكثر تحملاً للحرارة عند مستويات حمل حراري عالية للغاية. أظهرت الحيوانات التي تعمل في البيئات شبه القاحلة أعلى قدرة على تحمل الحرارة. تراوحت تقديرات التوريث لهذه المؤشرات من 0.06 إلى 0.33 وكانت في الغالب مختلفة بشكل كبير عن الصفر (P<0.05). كان للمنحدر عند THI 80 ارتباطات سلبية عالية (0.64-0.71) مع متوسط إنتاج الحليب اليومي، مما يكشف عن أن الأبقار عالية الإنتاج أكثر عرضة للإجهاد الحراري والعكس صحيح. لوحظ وجود ارتباط إيجابي مرتفع (0.63-0.74) بين إنتاج الحليب المطلق والمتوسط عند 80. وهذا يعني أن الأبقار ذات الإنتاج المنخفض للحليب لديها إنتاج حليب أكثر استقرارًا في ظل ظروف الإجهاد الحراري والعكس صحيح. أظهرت الدراسة أن منحدر معايير التفاعل وقيمته المطلقة يمكن أن يقيس بشكل فعال مرونة الماشية الحلوب المهجنة لظروف الحمل الحراري المتفاوتة. إن الآثار المترتبة على هذه النتائج ذات قيمة في تحسين تحمل الحرارة لأنواع الماشية من خلال الانتقاء الجيني.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Elsevier BV Authors: Anthony Waterhouse; John Rooke; Carol-Anne Duthie; J. J. Hyslop;pmid: 26145179
Increasing the concentration of dietary lipid is a promising strategy for reducing methane (CH4) emissions from ruminants. This study investigated the effect of replacing grass silage with brewers' grains on CH4 emissions of pregnant, non-lactating beef cows of two breeds. The experiment was a two×two factorial design comprising two breeds (LIMx, crossbred Limousin; and LUI, purebred Luing) and two diets consisting of (g/kg diet dry matter (DM)) barley straw (687) and grass silage (301, GS), or barley straw (763) and brewers' grains (226, BG), which were offered ad libitum. Replacing GS with BG increased the acid-hydrolysed ether extract concentration from 21 to 37 g/kg diet DM. Cows (n=48) were group-housed in equal numbers of each breed across two pens and each diet was allocated to one pen. Before measurements of CH4, individual dry matter intake (DMI), weekly BW and weekly body condition score were measured for a minimum of 3 weeks, following a 4-week period to acclimatise to the diets. CH4 emissions were subsequently measured on one occasion from each cow using individual respiration chambers. Due to occasional equipment failures, CH4 measurements were run over 9 weeks giving 10 observations for each breed×treatment combination (total n=40). There were no differences between diets for daily DMI measured in the chambers (9.92 v. 9.86 kg/day for BG and GS, respectively; P>0.05). Cows offered the BG diet produced less daily CH4 than GS-fed cows (131 v. 156 g/day: P0.05). However, when expressed as a proportion of metabolic BW (BW0.75), LUI cows had greater DMI than LIMx cows (84.5 v. 75.7 g DMI/kg BW0.75, P<0.05) and produced more CH4 per kg BW0.75 than LIMx cows (1.30 v. 1.05 g CH4/kg BW0.75; P<0.01). Molar proportions of acetate were higher (P<0.001) and propionate and butyrate lower (P<0.01) in rumen fluid samples from BG-fed compared with GS-fed cows. This study demonstrated that replacing GS with BG in barley straw-based diets can effectively reduce CH4 emissions from beef cows, with no suppression of DMI.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Elsevier BV Authors: Anthony Waterhouse; John Rooke; Carol-Anne Duthie; J. J. Hyslop;pmid: 26145179
Increasing the concentration of dietary lipid is a promising strategy for reducing methane (CH4) emissions from ruminants. This study investigated the effect of replacing grass silage with brewers' grains on CH4 emissions of pregnant, non-lactating beef cows of two breeds. The experiment was a two×two factorial design comprising two breeds (LIMx, crossbred Limousin; and LUI, purebred Luing) and two diets consisting of (g/kg diet dry matter (DM)) barley straw (687) and grass silage (301, GS), or barley straw (763) and brewers' grains (226, BG), which were offered ad libitum. Replacing GS with BG increased the acid-hydrolysed ether extract concentration from 21 to 37 g/kg diet DM. Cows (n=48) were group-housed in equal numbers of each breed across two pens and each diet was allocated to one pen. Before measurements of CH4, individual dry matter intake (DMI), weekly BW and weekly body condition score were measured for a minimum of 3 weeks, following a 4-week period to acclimatise to the diets. CH4 emissions were subsequently measured on one occasion from each cow using individual respiration chambers. Due to occasional equipment failures, CH4 measurements were run over 9 weeks giving 10 observations for each breed×treatment combination (total n=40). There were no differences between diets for daily DMI measured in the chambers (9.92 v. 9.86 kg/day for BG and GS, respectively; P>0.05). Cows offered the BG diet produced less daily CH4 than GS-fed cows (131 v. 156 g/day: P0.05). However, when expressed as a proportion of metabolic BW (BW0.75), LUI cows had greater DMI than LIMx cows (84.5 v. 75.7 g DMI/kg BW0.75, P<0.05) and produced more CH4 per kg BW0.75 than LIMx cows (1.30 v. 1.05 g CH4/kg BW0.75; P<0.01). Molar proportions of acetate were higher (P<0.001) and propionate and butyrate lower (P<0.01) in rumen fluid samples from BG-fed compared with GS-fed cows. This study demonstrated that replacing GS with BG in barley straw-based diets can effectively reduce CH4 emissions from beef cows, with no suppression of DMI.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Authors: Marie J. Haskell; Simon P. Turner; Pol Llonch; Richard J. Dewhurst;pmid: 27406001
Livestock production is a major contributor to greenhouse gas (GHG) emissions, so will play a significant role in the mitigation effort. Recent literature highlights different strategies to mitigate GHG emissions in the livestock sector. Animal welfare is a criterion of sustainability and any strategy designed to reduce the carbon footprint of livestock production should consider animal welfare amongst other sustainability metrics. We discuss and tabulate the likely relationships and trade-offs between the GHG mitigation potential of mitigation strategies and their welfare consequences, focusing on ruminant species and on cattle in particular. The major livestock GHG mitigation strategies were classified according to their mitigation approach as reducing total emissions (inhibiting methane production in the rumen), or reducing emissions intensity (Ei; reducing CH4 per output unit without directly targeting methanogenesis). Strategies classified as antimethanogenic included chemical inhibitors, electron acceptors (i.e. nitrates), ionophores (i.e. Monensin) and dietary lipids. Increasing diet digestibility, intensive housing, improving health and welfare, increasing reproductive efficiency and breeding for higher productivity were categorized as strategies that reduce Ei. Strategies that increase productivity are very promising ways to reduce the livestock carbon footprint, though in intensive systems this is likely to be achieved at the cost of welfare. Other strategies can effectively reduce GHG emissions whilst simultaneously improving animal welfare (e.g. feed supplementation or improving health). These win-win strategies should be strongly supported as they address both environmental and ethical sustainability. In order to identify the most cost-effective measures for improving environmental sustainability of livestock production, the consequences of current and future strategies for animal welfare must be scrutinized and contrasted against their effectiveness in mitigating climate change.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731116001440&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 93 citations 93 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731116001440&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Authors: Marie J. Haskell; Simon P. Turner; Pol Llonch; Richard J. Dewhurst;pmid: 27406001
Livestock production is a major contributor to greenhouse gas (GHG) emissions, so will play a significant role in the mitigation effort. Recent literature highlights different strategies to mitigate GHG emissions in the livestock sector. Animal welfare is a criterion of sustainability and any strategy designed to reduce the carbon footprint of livestock production should consider animal welfare amongst other sustainability metrics. We discuss and tabulate the likely relationships and trade-offs between the GHG mitigation potential of mitigation strategies and their welfare consequences, focusing on ruminant species and on cattle in particular. The major livestock GHG mitigation strategies were classified according to their mitigation approach as reducing total emissions (inhibiting methane production in the rumen), or reducing emissions intensity (Ei; reducing CH4 per output unit without directly targeting methanogenesis). Strategies classified as antimethanogenic included chemical inhibitors, electron acceptors (i.e. nitrates), ionophores (i.e. Monensin) and dietary lipids. Increasing diet digestibility, intensive housing, improving health and welfare, increasing reproductive efficiency and breeding for higher productivity were categorized as strategies that reduce Ei. Strategies that increase productivity are very promising ways to reduce the livestock carbon footprint, though in intensive systems this is likely to be achieved at the cost of welfare. Other strategies can effectively reduce GHG emissions whilst simultaneously improving animal welfare (e.g. feed supplementation or improving health). These win-win strategies should be strongly supported as they address both environmental and ethical sustainability. In order to identify the most cost-effective measures for improving environmental sustainability of livestock production, the consequences of current and future strategies for animal welfare must be scrutinized and contrasted against their effectiveness in mitigating climate change.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731116001440&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 93 citations 93 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s1751731116001440&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 France, NetherlandsPublisher:Elsevier BV Hassan, M.U.; Sidoruk, P.; Lechniak, D.; Szumacher-Strabel, M.; Bocianowski, J.; Ślusarczyk, S.; Hargreaves, P.R.; Ruska, D.; Dorbe, A.; Kreismane, Dz; Klumpp, K.; Bloor, J.; Rees, R.M.; Kuipers, A.; Galama, P.; Váradyová, Z.; Čobanová, K.; Cieślak, A.;pmid: 39708734
Greenhouse gas (GHG) emissions from livestock ruminants, particularly methane (CH4), nitrous oxide, and indirectly ammonia (NH3) significantly contribute to climate change and global warming. Conventional monoculture swards for cattle feeding, such as perennial ryegrass or Italian ryegrass, usually require substantial fertiliser inputs. Such management elevates soil mineral nitrogen levels, resulting in GHG emissions and potential water contamination. Mitigating the environmental footprint of these farming practices requires sustainable alternative feeding strategies for cattle production. Multispecies grassland swards (grass + legumes or legumes + herbs) represent a promising alternative to monoculture grassland swards for cattle nutrition due to their reduced nitrogen requirements, excellent herbage yield, and polyphenolic compounds (tannins, formononetin, luteolin, quercetin, and acteoside) which may have positive effects on animals. This study investigated the effects of selected multispecies grassland swards (plant blends) on in vitro ruminal fermentation and DM digestibility. Three experimental blends of plants cultivated without fertilisers were utilised: (1) perennial ryegrass (PRG) + red clover (RC), (2) chicory (C) + red clover (RC), and (3) Tonic plantain (PLA) + red clover (RC). The control blend included perennial ryegrass (PRG), and red clover (RC) cultivated with fertiliser. The in vitro trial showed a reduction in CH4 production and ruminal NH3 concentration (by 14.7 and 28.8%, respectively; P < 0.01) in the PLA+RC blend compared to the control. This plant blend also increased propionate concentration (P < 0.05) and reduced acetate and butyrate concentrations and the acetate-propionate ratio (P < 0.01). Additionally, the total protozoal and methanogen counts were mostly reduced by the PLA+RC blend (P < 0.01) among all blends investigated. In conclusion, the Tonic plantain and red clover blend (PLA+RC) cultivated without fertilisers have the potential to be utilised as a sustainable alternative feed source for climate-friendly cattle production, aligning with the aims of the European Climate Care Cattle Farming project.
Animal arrow_drop_down Wageningen Staff PublicationsArticle . 2025License: CC BY NC NDData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Animal arrow_drop_down Wageningen Staff PublicationsArticle . 2025License: CC BY NC NDData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101386&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 France, NetherlandsPublisher:Elsevier BV Hassan, M.U.; Sidoruk, P.; Lechniak, D.; Szumacher-Strabel, M.; Bocianowski, J.; Ślusarczyk, S.; Hargreaves, P.R.; Ruska, D.; Dorbe, A.; Kreismane, Dz; Klumpp, K.; Bloor, J.; Rees, R.M.; Kuipers, A.; Galama, P.; Váradyová, Z.; Čobanová, K.; Cieślak, A.;pmid: 39708734
Greenhouse gas (GHG) emissions from livestock ruminants, particularly methane (CH4), nitrous oxide, and indirectly ammonia (NH3) significantly contribute to climate change and global warming. Conventional monoculture swards for cattle feeding, such as perennial ryegrass or Italian ryegrass, usually require substantial fertiliser inputs. Such management elevates soil mineral nitrogen levels, resulting in GHG emissions and potential water contamination. Mitigating the environmental footprint of these farming practices requires sustainable alternative feeding strategies for cattle production. Multispecies grassland swards (grass + legumes or legumes + herbs) represent a promising alternative to monoculture grassland swards for cattle nutrition due to their reduced nitrogen requirements, excellent herbage yield, and polyphenolic compounds (tannins, formononetin, luteolin, quercetin, and acteoside) which may have positive effects on animals. This study investigated the effects of selected multispecies grassland swards (plant blends) on in vitro ruminal fermentation and DM digestibility. Three experimental blends of plants cultivated without fertilisers were utilised: (1) perennial ryegrass (PRG) + red clover (RC), (2) chicory (C) + red clover (RC), and (3) Tonic plantain (PLA) + red clover (RC). The control blend included perennial ryegrass (PRG), and red clover (RC) cultivated with fertiliser. The in vitro trial showed a reduction in CH4 production and ruminal NH3 concentration (by 14.7 and 28.8%, respectively; P < 0.01) in the PLA+RC blend compared to the control. This plant blend also increased propionate concentration (P < 0.05) and reduced acetate and butyrate concentrations and the acetate-propionate ratio (P < 0.01). Additionally, the total protozoal and methanogen counts were mostly reduced by the PLA+RC blend (P < 0.01) among all blends investigated. In conclusion, the Tonic plantain and red clover blend (PLA+RC) cultivated without fertilisers have the potential to be utilised as a sustainable alternative feed source for climate-friendly cattle production, aligning with the aims of the European Climate Care Cattle Farming project.
Animal arrow_drop_down Wageningen Staff PublicationsArticle . 2025License: CC BY NC NDData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Animal arrow_drop_down Wageningen Staff PublicationsArticle . 2025License: CC BY NC NDData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101386&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 ItalyPublisher:Elsevier BV Lanzoni L.; Reeves M. C.; Waxenberg K.; Ramsey R.; Atzori A. S.; Bell J.; Rees R. M.; Vignola G.; Dwyer C. M.;In the face of global climate threats, farm and land-management decisions must balance climate concerns with profitability, animal welfare, and ecosystem health. However, few comprehensive studies have quantified the relationship between animal welfare and greenhouse gas (GHG) emissions, and no study focuses specifically on sheep farms. The present study aims to quantify the effects of impaired welfare on GHG emissions for common welfare challenges faced in UK lowland (L) and hill (H) sheep farming systems. Two case study research farms in Scotland, representative of high welfare conditions, were used as baselines for semi-intensive L and extensive H systems. In this study, "high welfare conditions" are defined as situations where animals have access to adequate feeding, suitable housing, good health, and opportunities to express natural behaviours. From each high-welfare baseline, scenarios representing common levels of impaired welfare conditions were modelled, using parameters retrieved from the published literature. The selected poor-welfare scenarios included lameness, gastrointestinal nematodes, blowfly strike, liver fluke, inadequate shelter provision, inadequate feeding during lamb growth and late gestation, and high lamb mortality rate. GHG emissions were estimated "from-cradle-to-farm-gate" using Agrecalc ©, a Life Cycle Assessment tool for the agricultural sector. Total GHG emissions and emission intensities (EI) in kg of CO2 equivalent per kg live weight were compared across the baseline and the scenarios. Gross farm emissions and product-level EIs demonstrated divergent patterns in response to impaired welfare. Most impaired welfare scenarios led to a slight decrease in total farm emissions (0.03-3%), with a few exceptions. On the other hand, EI increased across all impaired welfare scenarios relative to the baseline, because meat production decreased by 1.3-16.6% across all impaired welfare scenarios, reducing resource use efficiency. Lameness was identified as particularly impactful, resulting in 18 and 10% increases in EI on H and L farms, respectively. This was primarily due to the high lamb mortality associated with lameness in published studies. Inadequate shelter provision was associated with an 8-15% increase in EI. Scenarios related to ineffective parasite control contributed to an EI increase ranging from 1 to 13%, while inadequate feeding management caused a 3-4% increase in EI. This study highlights the potential for reducing emission intensity through system-specific interventions, emphasising the importance of integrating animal welfare into GHG mitigation strategies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 ItalyPublisher:Elsevier BV Lanzoni L.; Reeves M. C.; Waxenberg K.; Ramsey R.; Atzori A. S.; Bell J.; Rees R. M.; Vignola G.; Dwyer C. M.;In the face of global climate threats, farm and land-management decisions must balance climate concerns with profitability, animal welfare, and ecosystem health. However, few comprehensive studies have quantified the relationship between animal welfare and greenhouse gas (GHG) emissions, and no study focuses specifically on sheep farms. The present study aims to quantify the effects of impaired welfare on GHG emissions for common welfare challenges faced in UK lowland (L) and hill (H) sheep farming systems. Two case study research farms in Scotland, representative of high welfare conditions, were used as baselines for semi-intensive L and extensive H systems. In this study, "high welfare conditions" are defined as situations where animals have access to adequate feeding, suitable housing, good health, and opportunities to express natural behaviours. From each high-welfare baseline, scenarios representing common levels of impaired welfare conditions were modelled, using parameters retrieved from the published literature. The selected poor-welfare scenarios included lameness, gastrointestinal nematodes, blowfly strike, liver fluke, inadequate shelter provision, inadequate feeding during lamb growth and late gestation, and high lamb mortality rate. GHG emissions were estimated "from-cradle-to-farm-gate" using Agrecalc ©, a Life Cycle Assessment tool for the agricultural sector. Total GHG emissions and emission intensities (EI) in kg of CO2 equivalent per kg live weight were compared across the baseline and the scenarios. Gross farm emissions and product-level EIs demonstrated divergent patterns in response to impaired welfare. Most impaired welfare scenarios led to a slight decrease in total farm emissions (0.03-3%), with a few exceptions. On the other hand, EI increased across all impaired welfare scenarios relative to the baseline, because meat production decreased by 1.3-16.6% across all impaired welfare scenarios, reducing resource use efficiency. Lameness was identified as particularly impactful, resulting in 18 and 10% increases in EI on H and L farms, respectively. This was primarily due to the high lamb mortality associated with lameness in published studies. Inadequate shelter provision was associated with an 8-15% increase in EI. Scenarios related to ineffective parasite control contributed to an EI increase ranging from 1 to 13%, while inadequate feeding management caused a 3-4% increase in EI. This study highlights the potential for reducing emission intensity through system-specific interventions, emphasising the importance of integrating animal welfare into GHG mitigation strategies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Funded by:RCN | FACCE MACSUR 2: Modelling...RCN| FACCE MACSUR 2: Modelling European Agriculture with Climate Change for Food SecurityJ.K. Sommerseth; S. Shrestha; M. MacLeod; A. Hegrenes; B.G. Hansen; R. Salte;pmid: 39226780
Rearing of replacement heifers makes up a significant part of the total costs in dairy farming. Nevertheless, the average age at first calving for dairy heifers still stays well above 2 years in many countries. This study examined the economic and environmental impacts of increased heifer growth rates and reduced replacement rates on Norwegian dairy farms. The current average growth rate in Norway (baseline scenario) was compared to an accelerated growth rate scenario. Within each of the two growth rate scenarios, we compared three different cow replacement rates. A farm account survey dataset containing physical and economic data on 311 Norwegian farms was clustered into three farm groups: small, medium, and large. To model economic consequences, we used the whole-farm linear programming model ScotFarm. A life cycle analysis model was used to model the environmental impacts of the baseline scenario and an accelerated growth rate scenario on the three farm groups. Accelerated heifer growth rate had a positive effect (14-28%) on farm annual gross margin depending on farm size. While accelerated growth rate resulted in only minor reductions in total emissions at farm level compared to the baseline scenario, reduced replacement rate lowered total farm level emissions by up to 8%, and emissions per unit of output by up to 6%. We conclude that an accelerated heifer growth rate scenario could potentially increase farm gross margin by some 14-28% compared with a baseline growth rate scenario. Reducing the replacement rate would be more efficient to reduce farm-level greenhouse gas emissions.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Funded by:RCN | FACCE MACSUR 2: Modelling...RCN| FACCE MACSUR 2: Modelling European Agriculture with Climate Change for Food SecurityJ.K. Sommerseth; S. Shrestha; M. MacLeod; A. Hegrenes; B.G. Hansen; R. Salte;pmid: 39226780
Rearing of replacement heifers makes up a significant part of the total costs in dairy farming. Nevertheless, the average age at first calving for dairy heifers still stays well above 2 years in many countries. This study examined the economic and environmental impacts of increased heifer growth rates and reduced replacement rates on Norwegian dairy farms. The current average growth rate in Norway (baseline scenario) was compared to an accelerated growth rate scenario. Within each of the two growth rate scenarios, we compared three different cow replacement rates. A farm account survey dataset containing physical and economic data on 311 Norwegian farms was clustered into three farm groups: small, medium, and large. To model economic consequences, we used the whole-farm linear programming model ScotFarm. A life cycle analysis model was used to model the environmental impacts of the baseline scenario and an accelerated growth rate scenario on the three farm groups. Accelerated heifer growth rate had a positive effect (14-28%) on farm annual gross margin depending on farm size. While accelerated growth rate resulted in only minor reductions in total emissions at farm level compared to the baseline scenario, reduced replacement rate lowered total farm level emissions by up to 8%, and emissions per unit of output by up to 6%. We conclude that an accelerated heifer growth rate scenario could potentially increase farm gross margin by some 14-28% compared with a baseline growth rate scenario. Reducing the replacement rate would be more efficient to reduce farm-level greenhouse gas emissions.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2024.101294&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 Italy, Netherlands, Sweden, United KingdomPublisher:Elsevier BV Kipling, R.P.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Faverdin, P.; Graux, A.I.; Hutchings, N.J.; Kyriazakis, I.; Macleod, M.; Østergaard, S.; Robinson, T.P.; Vitali, A.; Ahmadi, B.V.; Özkan, Seyda;Improved animal health can reduce greenhouse gas (GHG) emissions intensity in livestock systems while increasing productivity. Integrated modelling of disease impacts on farm-scale emissions is important in identifying effective health strategies to reduce emissions. However, it requires that modellers understand the pathways linking animal health to emissions and how these might be incorporated into models. A key barrier to meeting this need has been the lack of a framework to facilitate effective exchange of knowledge and data between animal health experts and emissions modellers. Here, these two communities engaged in workshops, online exchanges and a survey to i) identify a comprehensive list of disease-related model parameters and ii) test its application to evaluating models. Fifty-six parameters were identified and proved effective in assessing the potential of farm-scale models to characterise livestock disease impacts on GHG emissions. Easy wins for the emissions models surveyed include characterising disease impacts related to feeding.
SLU publication data... arrow_drop_down Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsQueen's University Belfast Research PortalArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2020.100023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert SLU publication data... arrow_drop_down Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsQueen's University Belfast Research PortalArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2020.100023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 Italy, Netherlands, Sweden, United KingdomPublisher:Elsevier BV Kipling, R.P.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Faverdin, P.; Graux, A.I.; Hutchings, N.J.; Kyriazakis, I.; Macleod, M.; Østergaard, S.; Robinson, T.P.; Vitali, A.; Ahmadi, B.V.; Özkan, Seyda;Improved animal health can reduce greenhouse gas (GHG) emissions intensity in livestock systems while increasing productivity. Integrated modelling of disease impacts on farm-scale emissions is important in identifying effective health strategies to reduce emissions. However, it requires that modellers understand the pathways linking animal health to emissions and how these might be incorporated into models. A key barrier to meeting this need has been the lack of a framework to facilitate effective exchange of knowledge and data between animal health experts and emissions modellers. Here, these two communities engaged in workshops, online exchanges and a survey to i) identify a comprehensive list of disease-related model parameters and ii) test its application to evaluating models. Fifty-six parameters were identified and proved effective in assessing the potential of farm-scale models to characterise livestock disease impacts on GHG emissions. Easy wins for the emissions models surveyed include characterising disease impacts related to feeding.
SLU publication data... arrow_drop_down Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsQueen's University Belfast Research PortalArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2020.100023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert SLU publication data... arrow_drop_down Wageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsQueen's University Belfast Research PortalArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.animal.2020.100023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu