Identifying traits for genotypic adaptation using crop models.
Genotypic adaptation involves the incorporation of novel traits in crop varieties so as to enhance food productivity and stability and is expected to be one of the most important adaptation strategies to future climate change. Simulation modelling can provide the basis for evaluating the biophysical potential of crop traits for genotypic adaptation. This review focuses on the use of models for assessing the potential benefits of genotypic adaptation as a response strategy to projected climate change impacts. Some key crop responses to the environment, as well as the role of models and model ensembles for assessing impacts and adaptation, are first reviewed. Next, the review describes crop-climate models can help focus the development of future-adapted crop germplasm in breeding programmes. While recently published modelling studies have demonstrated the potential of genotypic adaptation strategies and ideotype design, it is argued that, for model-based studies of genotypic adaptation to be used in crop breeding, it is critical that modelled traits are better grounded in genetic and physiological knowledge. To this aim, two main goals need to be pursued in future studies: (i) a better understanding of plant processes that limit productivity under future climate change; and (ii) a coupling between genetic and crop growth models-perhaps at the expense of the number of traits analysed. Importantly, the latter may imply additional complexity (and likely uncertainty) in crop modelling studies. Hence, appropriately constraining processes and parameters in models and a shift from simply quantifying uncertainty to actually quantifying robustness towards modelling choices are two key aspects that need to be included into future crop model-based analyses of genotypic adaptation.
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Km 17 Recta Cali-Palmira, Cali, Colombia International Center for Tropical Agriculture, Km 17 Recta Cali-Palmira, Cali-Colombia j.r.villegas@cgiar.org J.Ramirez-Villegas@leeds.ac.uk.
Julian
J
Ramirez-Villegas
Centre for Plant Science, Queensland Alliance for Agriculture & Food Innovation, The University of Queensland, Australia.
James
J
Watson
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Km 17 Recta Cali-Palmira, Cali, Colombia.
Andrew J
AJ
Challinor
D000222:Adaptation, Physiological / Q000235:genetics*; D018556:Crops, Agricultural / Q000235:genetics*; D004777:Environment; D005838:Genotype; D008962:Models, Theoretical; D019655:Quantitative Trait, Heritable
Climate change; crop models; genotypic adaptation; ideotypes; impacts.