the objective of this research was to study genotype×environment interaction and to evaluate stability analysis of grain yield in chickpea genotypes under rainfed condition. experimental material was comprised of 17 genotypes with the experiments carried out in rcbd of four replications at kermanshah, lorestan, ilam, gachsaran and gorgan research stations during the two years of 2003-2004. the ...

based on principal component analysis (pca), gge biplot analysis is an effective method to fully assess multienvironmental yield trials (mets). additive main effects and multiplicative interaction (ammi) is an alternative method for assessing phenotypic stability and adaptability. in this research, met data of 14 maize inbred lines were used to perform ammi and gge biplot analyses. these genoty...

Historically in plant breeding a large number of statistical models has been developed and used for studying genotype × environment interaction. These models have helped plant breeders to assess the stability of economically important traits and to predict the performance of newly developed genotypes evaluated under varying environmental conditions. In the last decade, the use of relatively low...

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 ...

Thirty six wheat genotypes derived from diallel crosses from F1 to F3 and their parents were evaluated in six different environments for the stability of performance. Performance was measured by seed yield per plant under drought and non-drought stress conditions. The experiment was conducted as a randomised complete block design with three replications in over one year. Additive main effects a...