Biplot Analysis of Genotype-Environment Interaction in Rapeseed (Brassica napus L.) in Two Normal and Stress Condition Using the AMMI Model

The standard yield stability used to measure changes is the potential yield and actual yield of a genotype in different environments. The aim of this research was to evaluate the genotype and environment interaction (GE) and detecting the sustainable genotypes in rapeseed. Also, this study aimed to determine genotypes with stable grain yield using parameters of equivalence (Wi), regression coefficient (bi), deviations mean square (S2di) and coefficient of variation (CV), (first model), and AMMI model analysis (second model). For this pupose, a field experiments was carried out with 14 winter rapeseed genotypes for two consecutive years in two different irrigation and rainfed. The expriment was performmed in a randomized complete block design with three replications per the environment. Combined analysis of variance showed that difference between the genotype-environment interaction was significant. positive correlation and significant parameters of Wi and S2di showed that both of these parameters can be used independently. According to the AMMI model, the genotypes Geronimo and ARC2 had the highest stability with a high average yield. These genotypes can be used in future breeding programs.