the ammi and sreg gge   are among the models that effectively capture the additive and multiplicative components of genotype × environment interaction (gei) and provide meaningful interpretation of multi-environment trials’ data set in the breeding programs. the objective of this study was to assess the effect of gei on grain yield of barely advanced lines and exploit the positive gei effect us...

Depression in adults is heritable with about 40 % of the phenotypic variance due to additive genetic effects and the remaining phenotypic variance due to unique (unshared) environmental effects. Common environmental effects shared by family members are rarely found in adults. One possible explanation for this finding is that there is an interaction between genes and the environment which may ma...

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...

understanding the implication of genotype-by-environment interaction (gei) and improving stability of crop yield in a target production environment is important in plant breeding. in this research, we used the ammi (additive main effects and multiplicative interaction) model to identify the stable genotype(s) by predictive accuracy of yield data. results of this study indicated that the fgh tes...

Genotype x environment interaction was evaluated under eight environments during lentil growing season of 2013/14 and 2014/15 for grain yield and their component characters of twenty one promising genotypes selected from previous trial of lentil. The variances estimated due genotype, environment and genotype x environment interaction were found to be different significantly for all the characte...