2026/06/01 by Owen Powell, Lee Hickey, Shunichiro Tomura +1 · 1 voice
Biochemistry, Genetics and Molecular Biology · Agricultural and Biological Sciences · #Genetic and phenotypic traits in livestock #Genetic Mapping and Diversity in Plants and Animals #Genetics and Plant Breeding
paper · doi:10.1016/j.tplants.2026.05.004
openalex publication_date 2026/06/01 · openalex created_date 2026/06/27 · openalex updated_date 2026/06/28
Climate-driven variability is reducing our ability to accurately predict crop performance across environments, limiting genetic gain in breeding programs. Sustained progress requires predictive frameworks that capture plant-environment interactions across diverse genetics and management conditions. Integrating mechanistic insights from plant science into predictive models offers a path to improve the accuracy, precision, and interpretability of breeding decisions under changing environments. We present emerging hierarchical genome-phenome frameworks and outline how they can be leveraged within breeding programs to evaluate how biological knowledge informs predictions across target environments and supports long-term genetic gain.