SELECTION THE BEST BARLEY GENOTYPES TO MULTI AND SPECIAL ENVIRONMENTS BY AMMI AND GGE BIPLOT MODELS

Abstract

The stability of genotypes is significant to selection and improves new varieties. The effect of genotype x environment interaction is revealed by different analysis methods. Nowadays, majority of researchers have been used the AMMI (Additive main effects and multiplicative interaction) and GGE biplot analysis in multi-environment trials. Therefore, ten barley advanced line and cultivars were used in the study. The experiments were performed according to a complete randomized block design with four replications at six environments in 2010-2011 seasons. The stability and superiority of genotypes for yield was determined using AMMI and GGE biplot analysis. Factors (G, GE, and GEI) were found to be highly significant (P 0.01) for grain yield. AMMI analysis indicated that the major contributions to treatment sum of squares were environments (89.77), genotypes (7.25) and GE (2.96), respectively, suggesting that grain yield of genotypes were effected environmental conditions. The GGE biplot indicated that PCA 1 axes (Principal component) was significant as P0.01 and sup- plied to 75.33 of complete GxE interaction. The AMMI indicated that G6 was stable, while G10 and G9 were high yielding for grain yield in multienvironment. Moreover, E1 and E4 were high yielding, while E2, E5 and E6 low yielding as forecast. On the other hand, GGE biplot indicated that three group were occurred among environments, first group (E1, E2 and E6), second group (E3, and E4), third group (only E5). Moreover: the study showed that G6 and G9 were the best genotypes for first group, G10 for second and G1 for third of environments, while other genotypes didn’t show any relation with environments. The results of AMMI and GGE biplot models indicated that G6 was stable in all environments. Therefore this genotype can be recommend for release to all environ- ments, while G9 for first group and G10 for second group.