A model of genotype-environment interaction in quantitative traits is considered. The model represents an expansion of the traditional additive (first degree polynomial) approximation of genotypic and environmental effects to a second degree polynomial incorporating a multiplicative term besides the additive terms. An experimental evaluation of the model is suggested and applied to a trait in D...

Transmission disequilibrium tests (TDTs) provide an approach to the detection of associations between alleles at marker loci and risk of complex disorders. The logistic regression approach to TDTs proposed by Sham and Curtis (1995) is generalized to provide separate tests of the main effects of marker loci on genetic risk and genotype-environment interaction (G x E) arising because multiple all...

CROP SCIENCE, VOL. 47, MARCH–APRIL 2007 641 ABSTRACT The use of genotype main effect (G) plus genotype-by-environment (GE) interaction (G+GE) biplot analysis by plant breeders and other agricultural researchers has increased dramatically during the past 5 yr for analyzing multi-environment trial (MET) data. Recently, however, its legitimacy was questioned by a proponent of Additive Main Effect ...

Studies involving different cattle genetic types evaluated under temperate and subtropical environmental conditions have revealed important genotype × environment interactions for most preweaning traits. A longterm study involving different lines of Hereford cattle evaluated under temperate (Miles City, MT) and subtropical (Brooksville, FL) environments revealed important genotype × environment...

The objectives of this study were to assess the genotype (G) by environment (E) interaction of grain yield of durum wheat(Triticum durum Desf.) based on parametric models, additive main effects and multiplicative interaction (AMMI) and joint linear regression models; and compare the relative efficiency of the two models in explaining the GE effects. Twenty-three genotypes were evaluated across ...