in order to determine yield stability and evaluation of genotype × environment interaction, 20 spring bread wheat promising lines and varieties were studied in a randomized complete block design with three replications in four warm and dry stations (ahwaz, dezful, darab, & khorramabad) during 2002-2004. chamran cultivar was a check in two years trial. the results revealed that the grain yield o...

Biplot analysis has been used for studying genotype × environment interaction (GE) or any two-way table. Its descriptive and visualization capabilities along with the availability of userfriendly software have enabled plant scientists to examine any two-way data by a click on a computer button. Despite widespread use, the validity and limitations of biplot analysis have not been completely exam...

The usual analysis of genotype × environment interaction (G × E) is based on the linear regression of genotypic performance on environmental changes (e.g., classic stability analysis). This linear model may often lead to lumping together of the non-linear responses to the whole range of environmental changes from suboptimal and super optimal conditions, thereby lowering the power of detecting G...

Genotype × environmental interaction (GEI) is an important consideration in plant breeding programs because it reduces the progress from selection in any one environment (Hill, 1975). Significant GEI results from the changes in the magnitude of differences between genotypes in different environments or changes in the relative ranking of the genotypes. Consistent performances across different si...

The intention of this paper is to show how the methods of nonlinear factor analysis as developed by McDonald (Br. J. Math. Stat. Psychol. 20:205215, 1967) can be used to study genotype-environment interaction. The method is applied to the interaction of genotype and within-family environmental influences. Simulated twin data are used to illustrate how this type o f interaction may be detected a...