AMMI and GGE biplot analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes at moisture deficit environment of Wollo, Ethiopia

Abstract

Twenty-two bread wheat varieties were tested at six locations of eastern Amhara region. The experiment was laid-out using Randomized Complete Block (RCB) design and replicated three times with the objective of estimating the magnitude of Genotype by Environment (GE) interactions for grain yield and stability of bread wheat genotypes. Individual environment and combined analysis of variance were carried out using Genstat software 18th edition and Least Significant Difference (LSD) was employed to separate means. Combined ANOVA for grain yield showed significant difference among genotypes, environments, and GE interactions. Genotypes G1, G9 and G16 out-smarted in grain yield, providing mean grain yield of 3.60, 3.56, and 3.55 tha-1, respectively. The stability was measured by AMMI and GGE biplot. AMMI-1 select most adapted genotypes such as G9 and G16 for E3 and G17 for E1. G12, G6, G3, G19, G7 and G11 genotypes were suitable for all environments. AMMI-2 biplot showed E1, E5 and E6 contributed large interaction effects while E2, E3 and E4 contributed small interaction effects. GGE biplot identify G9, G16 and G19 for E1, E3, E6 and E5 and G17, G21, G14 and G15 for E1 and E4. G6, G12 and G1 genotypes were good for all environments. Thus, due attention should be given while selecting bread wheat genotypes for the target environments.