Selection-aware metrics provide complementary decision-level information in plant genomic prediction
Breeding programs increasingly need prediction systems that support reliable candidate selection across heterogeneous environments, which makes cross-environment genomic prediction an important component of multienvironment crop improvement. However, model evaluation still relies heavily on Pearson’s correlation coef...