A hybrid deep learning-based approach for optimal genotype by environment selection
The ability to accurately predict the yields of different crop genotypes in response to weather variability is crucial for developing climate resilient crop cultivars.Genotype-environment interactions introduce large variations in crop-climate responses, and are hard to factor in to breeding programs.Data-driven approaches, particularly those based