Genotype-by-environment (G× E) interactions can significantly affect crop performance and
stability. Investigating G× E requires extensive data sets with diverse cultivars tested over …

High-dimensional and high-throughput genomic, field performance, and environmental data
are becoming increasingly available to crop breeding programs, and their integration can …

The diverse consequences of genotype-by-environment (GxE) interactions determine trait
phenotypes across levels of biological organization for crops, challenging our ambition to …

High throughput genotyping, phenotyping, and envirotyping applied within plant breeding
multienvironment trials (METs) provide the data foundations for selection and tackling …

The development of crop varieties with stable performance in future environmental
conditions represents a critical challenge in the context of climate change. Environmental …

Wheat (Triticum aestivum L.) breeding programs test experimental lines in multiple locations
over multiple years to get an accurate assessment of grain yield and yield stability …

Technology advances have made possible the collection of a wealth of genomic,
environmental, and phenotypic data for use in plant breeding. Incorporation of …

Summary Genotype‐by‐environment‐by‐management (G× E× M) interactions for crop
productivity represent both challenges and opportunities for long‐term crop improvement …

Variation in crop performance is directly affected by the environment in which the plant
grows. Analyses and estimation of genotype× environment interactions (G× E) have the …

Plant breeders face the challenge of genotype× environment interaction (G× E) in
comprehensively breeding for expanded geographic regions. An improved understanding of …