Lee T. Hickey

Keywords predictive breeding genotype–phenotype modelling biological networks genotype × environment × management interactions genetic gain Breeding for future agricultural systems Climate change is creating increasingly severe and unpredictable conditions for agriculture, leading to diverse future scenarios. This poses a challenge for modern plant breeding, which has relied heavily on prediction models trained with past experimental data.

A novel approach combines CRISPR-mediated modifications with robotic automation to transform cross-pollination from labour-intensive handwork into a seamless automated process.

Abstract Enviromics refers to the characterization of micro- and macroenvironments based on large-scale environmental datasets. By providing genotypic recommendations with predictive extrapolation at a site-specific level, enviromics could inform plant breeding decisions across varying conditions and anticipate productivity in a changing climate.