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Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis

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  • Hao, Shirui
  • Ryu, Dongryeol
  • Western, Andrew
  • Perry, Eileen
  • Bogena, Heye
  • Franssen, Harrie Jan Hendricks

Abstract

Process-based crop models provide ways to predict crop growth, evaluate environmental impacts on crops, test various crop management options, and guide crop breeding. They can be used to explore options for mitigating climate change impacts when combined with climate projections and explore mitigation of environmental impacts of production. The Agricultural Production Systems SIMulator (APSIM) is a widely adopted crop model that offers modules for simulation of various crops, soil processes, climate, and grazing within a modelling system that enables robust addition of new components.

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  • Hao, Shirui & Ryu, Dongryeol & Western, Andrew & Perry, Eileen & Bogena, Heye & Franssen, Harrie Jan Hendricks, 2021. "Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis," Agricultural Systems, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:agisys:v:194:y:2021:i:c:s0308521x21002316
    DOI: 10.1016/j.agsy.2021.103278
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    Cited by:

    1. Chapagain, Ranju & Huth, Neil & Remenyi, Tomas A. & Mohammed, Caroline L. & Ojeda, Jonathan J., 2023. "Assessing the effect of using different APSIM model configurations on model outputs," Ecological Modelling, Elsevier, vol. 483(C).
    2. Peterson, C.A. & Pittelkow, C.M. & Lundy, M.E., 2023. "Targeted irrigation expands scope for winter cereal production in water-limited areas of California's San Joaquin Valley," Agricultural Systems, Elsevier, vol. 210(C).

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