The presence of genotype‐by‐environment interaction (GEI) complicates selection of
superior genotypes and an understanding of environmental and genotypic causes of …

The partial least squares (PLS) regression method relates genotype✕ environment
interaction effects (GEI) as dependent variables (Y) to external environmental (or cultivar) …

Genotype× environment interactions (GEI) and quantitative trait loci× environment
interactions (QEI) are known to influence the expression of agronomic performance traits in …

Variation of genotype–environment interactions can be divided to determine whether or not
the interactions involve change in genotype or cultivar ranks across environments. However …

Wheat cultivars often show highly significant genotype by environment interaction (G× E) for
yield, even when comparing different years within a relatively stable location. This study …

Genotype‐environment interactions can arise from heterogeneity of variances or change in
genotype ranks (or both) from one environment to another (genetic correlation< 1). The …

In plant physiology and breeding, it is important to understand the causes of
genotyperenvironment interactions (GEIs) of complex traits such as grain yield. It is difficult to …

Key message Development of models to predict genotype by environment interactions, in
unobserved environments, using environmental covariates, a crop model and genomic …

Knowledge of the relative contributions of genotype (G), environment (E), and genotype and
environment interaction (G× E) effects on wheat (Triticum aestivum L.) quality leads to more …

Many studies have dealt with the problem of varying genotype performance in different
environments (GE interaction). Little is known, however, of the underlying causes of GE …