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description Publicationkeyboard_double_arrow_right Article , Journal 2020 India, India, France, South Africa, Australia, Finland, FrancePublisher:Wiley Gatien N. Falconnier; Marc Corbeels; Kenneth J. Boote; François Affholder; Myriam Adam; Dilys S. MacCarthy; Alex C. Ruane; Claas Nendel; Anthony M. Whitbread; Éric Justes; Lajpat R. Ahuja; Folorunso M. Akinseye; Isaac N. Alou; Kokou A. Amouzou; Saseendran S. Anapalli; Christian Baron; Bruno Basso; Frédéric Baudron; Patrick Bertuzzi; Andrew J. Challinor; Yi Chen; Delphine Deryng; Maha L. Elsayed; Babacar Faye; Thomas Gaiser; Marcelo Galdos; Sebastian Gayler; Edward Gerardeaux; Michel Giner; Brian Grant; Gerrit Hoogenboom; Esther S. Ibrahim; Bahareh Kamali; Kurt Christian Kersebaum; Soo‐Hyung Kim; Michael van der Laan; Louise Leroux; Jon I. Lizaso; Bernardo Maestrini; Elizabeth A. Meier; Fasil Mequanint; Alain Ndoli; Cheryl H. Porter; Eckart Priesack; Dominique Ripoche; Tesfaye S. Sida; Upendra Singh; Ward N. Smith; Amit Srivastava; Sumit Sinha; Fulu Tao; Peter J. Thorburn; Dennis Timlin; Bouba Traore; Tracy Twine; Heidi Webber;AbstractSmallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs including fertilizer. Climate change may exacerbate current production constraints. Crop models can help quantify the potential impact of climate change on maize yields, but a comprehensive multimodel assessment of simulation accuracy and uncertainty in these low‐input systems is currently lacking. We evaluated the impact of varying [CO2], temperature and rainfall conditions on maize yield, for different nitrogen (N) inputs (0, 80, 160 kg N/ha) for five environments in SSA, including cool subhumid Ethiopia, cool semi‐arid Rwanda, hot subhumid Ghana and hot semi‐arid Mali and Benin using an ensemble of 25 maize models. Models were calibrated with measured grain yield, plant biomass, plant N, leaf area index, harvest index and in‐season soil water content from 2‐year experiments in each country to assess their ability to simulate observed yield. Simulated responses to climate change factors were explored and compared between models. Calibrated models reproduced measured grain yield variations well with average relative root mean square error of 26%, although uncertainty in model prediction was substantial (CV = 28%). Model ensembles gave greater accuracy than any model taken at random. Nitrogen fertilization controlled the response to variations in [CO2], temperature and rainfall. Without N fertilizer input, maize (a) benefited less from an increase in atmospheric [CO2]; (b) was less affected by higher temperature or decreasing rainfall; and (c) was more affected by increased rainfall because N leaching was more critical. The model intercomparison revealed that simulation of daily soil N supply and N leaching plays a crucial role in simulating climate change impacts for low‐input systems. Climate change and N input interactions have strong implications for the design of robust adaptation approaches across SSA, because the impact of climate change in low input systems will be modified if farmers intensify maize production with balanced nutrient management.
Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020Full-Text: https://hal.inrae.fr/hal-03127406/documentData sources: Hyper Article en LigneCIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.inrae.fr/hal-03127406Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Queensland: UQ eSpaceArticle . 2020Data 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 Routesbronze 72 citations 72 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020Full-Text: https://hal.inrae.fr/hal-03127406/documentData sources: Hyper Article en LigneCIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.inrae.fr/hal-03127406Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Queensland: UQ eSpaceArticle . 2020Data 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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description Publicationkeyboard_double_arrow_right Article , Journal 2020 India, India, France, South Africa, Australia, Finland, FrancePublisher:Wiley Gatien N. Falconnier; Marc Corbeels; Kenneth J. Boote; François Affholder; Myriam Adam; Dilys S. MacCarthy; Alex C. Ruane; Claas Nendel; Anthony M. Whitbread; Éric Justes; Lajpat R. Ahuja; Folorunso M. Akinseye; Isaac N. Alou; Kokou A. Amouzou; Saseendran S. Anapalli; Christian Baron; Bruno Basso; Frédéric Baudron; Patrick Bertuzzi; Andrew J. Challinor; Yi Chen; Delphine Deryng; Maha L. Elsayed; Babacar Faye; Thomas Gaiser; Marcelo Galdos; Sebastian Gayler; Edward Gerardeaux; Michel Giner; Brian Grant; Gerrit Hoogenboom; Esther S. Ibrahim; Bahareh Kamali; Kurt Christian Kersebaum; Soo‐Hyung Kim; Michael van der Laan; Louise Leroux; Jon I. Lizaso; Bernardo Maestrini; Elizabeth A. Meier; Fasil Mequanint; Alain Ndoli; Cheryl H. Porter; Eckart Priesack; Dominique Ripoche; Tesfaye S. Sida; Upendra Singh; Ward N. Smith; Amit Srivastava; Sumit Sinha; Fulu Tao; Peter J. Thorburn; Dennis Timlin; Bouba Traore; Tracy Twine; Heidi Webber;AbstractSmallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs including fertilizer. Climate change may exacerbate current production constraints. Crop models can help quantify the potential impact of climate change on maize yields, but a comprehensive multimodel assessment of simulation accuracy and uncertainty in these low‐input systems is currently lacking. We evaluated the impact of varying [CO2], temperature and rainfall conditions on maize yield, for different nitrogen (N) inputs (0, 80, 160 kg N/ha) for five environments in SSA, including cool subhumid Ethiopia, cool semi‐arid Rwanda, hot subhumid Ghana and hot semi‐arid Mali and Benin using an ensemble of 25 maize models. Models were calibrated with measured grain yield, plant biomass, plant N, leaf area index, harvest index and in‐season soil water content from 2‐year experiments in each country to assess their ability to simulate observed yield. Simulated responses to climate change factors were explored and compared between models. Calibrated models reproduced measured grain yield variations well with average relative root mean square error of 26%, although uncertainty in model prediction was substantial (CV = 28%). Model ensembles gave greater accuracy than any model taken at random. Nitrogen fertilization controlled the response to variations in [CO2], temperature and rainfall. Without N fertilizer input, maize (a) benefited less from an increase in atmospheric [CO2]; (b) was less affected by higher temperature or decreasing rainfall; and (c) was more affected by increased rainfall because N leaching was more critical. The model intercomparison revealed that simulation of daily soil N supply and N leaching plays a crucial role in simulating climate change impacts for low‐input systems. Climate change and N input interactions have strong implications for the design of robust adaptation approaches across SSA, because the impact of climate change in low input systems will be modified if farmers intensify maize production with balanced nutrient management.
Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020Full-Text: https://hal.inrae.fr/hal-03127406/documentData sources: Hyper Article en LigneCIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.inrae.fr/hal-03127406Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Queensland: UQ eSpaceArticle . 2020Data 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=10.1111/gcb.15261&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 72 citations 72 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020Full-Text: https://hal.inrae.fr/hal-03127406/documentData sources: Hyper Article en LigneCIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.inrae.fr/hal-03127406Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Queensland: UQ eSpaceArticle . 2020Data 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=10.1111/gcb.15261&type=result"></script>'); --> </script>
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