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A novel approach to accelerate ideotyping using model-aided envirotyping

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  • Collins, Brian
  • Ullah, Najeeb
  • Song, Youhong
  • Pembleton, Keith G.

Abstract

Climate change threatens wheat production by intensifying drought, heat stress, and yield instability. Selecting optimal cultivars is crucial for mitigating climate change impacts. Crop model-assisted ideotyping, i.e., designing and/or selecting for traits that maximise yield or quality under defined conditions, requires exploring a large number of genotype-by-environment (GxE) interactions but is computationally demanding. This is where envirotyping, i.e., categorising environments into a few environment types (ETs), emerges as a promising solution. Integrating envirotyping with ideotyping enhances breeding efficiency and enables targeted trait optimisation. This scalable, data-driven approach supports the development of climate-resilient wheat cultivars suited to diverse and changing environments.

Suggested Citation

  • Collins, Brian & Ullah, Najeeb & Song, Youhong & Pembleton, Keith G., 2025. "A novel approach to accelerate ideotyping using model-aided envirotyping," Agricultural Systems, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:agisys:v:229:y:2025:i:c:s0308521x25001702
    DOI: 10.1016/j.agsy.2025.104430
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