Authors
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
Publication date
2020/10
Journal
Global change biology
Volume
26
Issue
10
Pages
5942-5964
Description
Smallholder 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 …
Total citations
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