Modelling Climate Change Impacts on Maize Yields under Low Nitrogen Input Conditions in Sub-Saharan Africa

AuthorFalconnier Gatien
AuthorMarc Corbeels
AuthorKenneth J. Boote
AuthorFrançois Affholder
AuthorMyriam Adam
AuthorDilys Maccarthy
AuthorAlex C. Ruane
AuthorClaas Nendel
AuthorAnthony Michael Whitbread
AuthorEric Justes
AuthorLajpat Ahuja
AuthorFolorunso Mathew Akinseye
AuthorIsaac Newton Alou
AuthorKokou Adambounou Amouzou
AuthorSaseendran S Anapalli
AuthorChristian Baron
AuthorBruno Basso
AuthorFrédéric Baudron
AuthorPatrick Bertuzzi
AuthorAndrew J Challinor
AuthorYi Chen
AuthorDelphine Deryng
AuthorMaha L Elsayed
AuthorBabacar Faye
AuthorTimo Gaiser
AuthorMarcelo Valadares Galdos
AuthorSebastian Gayler
AuthorEdward Gerardeaux
AuthorGiner Michel
AuthorBrian B Grant
AuthorGerrit Hoogenboom
AuthorEsther Shupel Ibrahim
AuthorBahareh Kamali
AuthorKurt Christian Kersebaum
AuthorSoo-Hyung Kim
AuthorMichael van der Laan
AuthorLouise Leroux
AuthorJon I. Lizaso
AuthorBernardo Maestrini
AuthorElizabeth A Meier
AuthorFasil Mequanint
AuthorNdoli Alain
AuthorCheryl H. Porter
AuthorEckart Priesack
AuthorDominique Ripoche
AuthorTesfaye Shiferaw Sida
AuthorUpendra Singh
AuthorWard N Smith
AuthorFulu Tao
AuthorAmit Kumar Srivastava
AuthorSumit Sinha
AuthorPeter J Thorburn
AuthorDennis Timlin
AuthorBouba Traore
AuthorTracy Elizabeth Twine
AuthorHeidi Webber
Jurisdiction:Sub-Saharan Africa
Date of acession2023-12-05T06:56:39Z
Date of availability2023-12-05T06:56:39Z
Date of issue2020-07-06
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.
CitationFalconnier, G.N., M. Corbeels, K. Boote, F. Affholder, M. Adam, D.S. MacCarthy, A.C. Ruane, C. Nendel, A.M. Whitbread, G. Hoogenboom, U. Singh, W.N. Smith, A. Srivastava, S. Sinha, F. Tao, P.J. Thorburn, D. Timlin, B. Traore, T. Twine, and H. Webber. 2020. “Modelling Climate Change Impacts on Maize Yields Under Low Nitrogen Input Conditions in Sub-Saharan Africa,” Global Change Biology, 26(10):5942-5964. https://doi.org/10.1111/gcb.15261
URLhttps://hub.ifdc.org/handle/20.500.14297/2738
Languageen
SubjectNitrogen-use efficiency
SubjectNanotechnology
TitleModelling Climate Change Impacts on Maize Yields under Low Nitrogen Input Conditions in Sub-Saharan Africa
TypeArticle
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