A novel approach to accelerate ideotyping using model-aided envirotyping

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

Agricultural Systems, 2025, vol. 229, issue C

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.

Keywords: Climate adaptability; Crop modelling; Envirotyping; Genetic optimisation; Wheat ideotyping (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:229:y:2025:i:c:s0308521x25001702

DOI: 10.1016/j.agsy.2025.104430

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