Application of Ammi Model for Evaulation Spring Barley Genotypes in Multi-Environment Trials

Abstract

The aim of study was to evaluate the yield performance of genotypes and stability, environments and G x E interaction of 12 spring barley genotypes in multi-environment trials. The trials were implemented in respect to a integrate arrangement complex style with four replications. The AMMI (Additive main effects and multiplicative interaction) analysis was made to estimate grain yield and understand G x E interaction patterns. Analysis indicated that the major contributions to treatment sum of squares were environments (81.4%), GE (10.3%) and genotypes (8.3%), respectively; suggesting that grain yield of genotypes was effected environmental conditions. PCA 1 and PCA 2 axes (Principal component) were significant (0.01) and supplied to 68.30% of the complete G x E interaction. The AMMI analysis revealed that E3 and E5 were more stable and high productive; mean while E6 and E7 were unstable and nominal efficient environments. According to stability variance, the genotypes (G1, G3, G6 and G9) were the productive and more stable; meanwhile G4 and G5 were low productive and stable genotypes. Moreover, G2 were the best productive to all environments without E2. The G x E model exposed according to AMMI analysis recommended that G2 shown candidates and registered as Kendal, because of wide adaptability with high performances in all environments.