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Identifying traits for genotypic adaptation using crop models.

Julian Ramirez-Villegas1, James Watson2, Andrew J Challinor3

  • 1Institute 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.

Journal of Experimental Botany
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PubMed
Summary
This summary is machine-generated.

Genotypic adaptation, incorporating new crop traits, is key for climate change resilience. Simulation models help evaluate these traits, but future crop breeding needs better genetic and physiological grounding for models.

Keywords:
Climate changecrop modelsgenotypic adaptationideotypesimpacts.

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Area of Science:

  • Agricultural Science
  • Climate Change Adaptation
  • Plant Breeding

Background:

  • Genotypic adaptation, through novel crop traits, is crucial for food security under climate change.
  • Simulation modeling is a key tool for assessing the biophysical potential of crop traits for adaptation.

Purpose of the Study:

  • To review the use of crop models in evaluating genotypic adaptation strategies for climate change.
  • To identify future research directions for integrating genetic and physiological knowledge into crop models for breeding.

Main Methods:

  • Review of existing literature on crop responses to environmental factors.
  • Analysis of crop-climate models and their application in breeding programs.
  • Discussion of the integration of genetic and physiological knowledge into modeling.

Main Results:

  • Modeling studies show the potential of genotypic adaptation and ideotype design for climate change.
  • Effective use of models in crop breeding requires traits to be better grounded in genetic and physiological understanding.
  • Future research should focus on understanding plant processes limiting productivity and coupling genetic with crop growth models.

Conclusions:

  • Genotypic adaptation is a vital strategy for crop resilience to climate change.
  • Improved integration of genetic and physiological data into crop models is essential for effective breeding programs.
  • Future modeling efforts must address complexity, uncertainty, and robustness in evaluating adaptation strategies.