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description Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020 Italy, SpainPublisher:MDPI AG Authors:Rut Sanchez-Bragado;
Rut Sanchez-Bragado
Rut Sanchez-Bragado in OpenAIREMaria Newcomb;
Fadia Chairi;Maria Newcomb
Maria Newcomb in OpenAIREGiuseppe Emanuele Condorelli;
+6 AuthorsGiuseppe Emanuele Condorelli
Giuseppe Emanuele Condorelli in OpenAIRERut Sanchez-Bragado;
Rut Sanchez-Bragado
Rut Sanchez-Bragado in OpenAIREMaria Newcomb;
Fadia Chairi;Maria Newcomb
Maria Newcomb in OpenAIREGiuseppe Emanuele Condorelli;
Giuseppe Emanuele Condorelli
Giuseppe Emanuele Condorelli in OpenAIRERichard W. Ward;
Jeffrey W. White; Marco Maccaferri;Richard W. Ward
Richard W. Ward in OpenAIRERoberto Tuberosa;
Roberto Tuberosa
Roberto Tuberosa in OpenAIREJose Luis Araus;
Maria Dolors Serret Molins;Jose Luis Araus
Jose Luis Araus in OpenAIREhandle: 10459.1/69969 , 11585/786371
High-throughput phenotyping platforms provide valuable opportunities to investigate biomass and drought-adaptive traits. We explored the capacity of traits associated with drought adaptation such as aerial measurements of the Normalized Difference Vegetation Index (NDVI) and carbon isotope composition (δ13C) determined at the leaf level to predict genetic variation in biomass. A panel of 248 elite durum wheat accessions was grown at the Maricopa Phenotyping platform (US) under well-watered conditions until anthesis, and then irrigation was stopped and plot biomass was harvested about three weeks later. Globally, the δ13C values increased from the first to the second sampling date, in keeping with the imposition of progressive water stress. Additionally, δ13C was negatively correlated with final biomass, and the correlation increased at the second sampling, suggesting that accessions with lower water-use efficiency maintained better water status and, thus, performed better. Flowering time affected NDVI predictions of biomass, revealing the importance of developmental stage when measuring the NDVI and the effect that phenology has on its accuracy when monitoring genotypic adaptation to specific environments. The results indicate that in addition to choosing the optimal phenotypic traits, the time at which they are assessed, and avoiding a wide genotypic range in phenology is crucial.
Agronomy arrow_drop_down AgronomyOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2073-4395/10/11/1679/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticleLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAResearch Repository of CataloniaArticleLicense: CC BYData sources: Research Repository of CataloniaDiposit Digital de la Universitat de BarcelonaArticle . 2020License: CC BYData sources: Diposit Digital de la Universitat de BarcelonaDiposit Digital de la Universitat de BarcelonaArticle . 2020License: CC BYData sources: Diposit Digital de la Universitat de BarcelonaRecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTAadd 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=10.3390/agronomy10111679&type=result"></script>'); --> </script>
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visibility 88visibility views 88 download downloads 41 Powered bymore_vert Agronomy arrow_drop_down AgronomyOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2073-4395/10/11/1679/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticleLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAResearch Repository of CataloniaArticleLicense: CC BYData sources: Research Repository of CataloniaDiposit Digital de la Universitat de BarcelonaArticle . 2020License: CC BYData sources: Diposit Digital de la Universitat de BarcelonaDiposit Digital de la Universitat de BarcelonaArticle . 2020License: CC BYData sources: Diposit Digital de la Universitat de BarcelonaRecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTAadd 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=10.3390/agronomy10111679&type=result"></script>'); --> </script>
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