Experiments measuring the interaction between genotypes and environments measure the
spatial (eg, locations) and temporal (eg, years) separation and/or combination of these …

Breeding climate-resilient crops with improved levels of abiotic and biotic stress resistance
as a response to climate change presents both opportunities and challenges. Applying the …

Multi‐environment trials (MET) are crucial steps in plant breeding programs that aim at
increasing crop productivity to ensure global food security. The analysis of MET data …

Additive main effect and multiplicative interaction (AMMI) and best linear unbiased
prediction (BLUP) are popular methods for analyzing multi‐environment trials (MET). The …

Modeling the genotype× environment interaction (GEI) and quantifying genotypic stability
are crucial steps for selecting/recommending genotypes in multi‐environment trials (METs) …

New types of phenotyping tools generate large amounts of data on many aspects of plant
physiology and morphology with high spatial and temporal resolution. These new …

Key message We propose the application of enviromics to breeding practice, by which the
similarity among sites assessed on an “omics” scale of environmental attributes drives the …

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

Expression of a phenotype is a function of the genotype, the environment, and the
differential sensitivity of certain genotypes to different environments, also known as …

Photosynthesis drives plant physiology, biomass accumulation, and yield. Photosynthetic
efficiency, specifically the operating efficiency of PSII (F q'/F m'), is highly responsive to …