A Two-Step Hybrid Statistical and Machine-Learning Framework with Full Genetic Effects for Multi-Environment Genomic Prediction in Maize
Accurate genomic prediction across environments remains challenging because phenotypic variation is jointly influenced by environmental conditions, genetic effects, and genotype-by-environment interactions. We developed a two-step hybrid statistical and machine-learning framework for multi-environment genomic predictio...