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AMMI analysis of wheat genotypes had highlighted significant effects of environments, interactions and genotypes for the 2017-18 and 2018-19. Number of adaptability measures had been studied as per utilization of number of significant interaction principal components (IPCs). Total of interaction variations exploited by Type-1, 2, 3, 4 & 5 measures were 45.5%, 66.3%, 75.9% & 88.4% respectively. Type-1 measures EV1, D1, ASTAB1 identified (G7, G6, G12) genotypes while SIPC1 selected (G14, G17, G2). EV2, D2, ASTAB2, ASV and ASV1 measures found (G7, G6, G4) as desirable genotypes. Analytic measures based on all significant IPCA’s i.e. MASV and MASV1 settled for G6, G7, and G3. Adaptability measures GAI, HM, PRVG & MHPRVG observed G13, G4, and G12 genotypes would be of stable adaptations. Biplot analysis seen largest cluster comprised D3, D5, EV2, EV3, EV5, ASTAB3, ASTAB5, MASV1, MASV and Standard deviation measures. Genotypes were ranked G9, G11, and G6 by values of EV1, D1 & ASTAB1 for second year of study. D2, ASV, ASV1, EV2 & ASTAB2 observed (G9, G6, and G11) as adaptable genotypes. MASV & MASV1 measures also supported G9, G6, G11 genotypes for the considered locations of the zone. Studied measures were clustered in three groups in graphical analysis. Three clusters were observed among studied measures by biplot analysis. Measures EV1, EV2, EV3, D1, D2, D3, ASV, ASV1, MASV, MASV1, ASTAB1, and ASTAB2 & ASTAB3 formed largest cluster.

GxE Interactions Analysis of Wheat Genotypes Evaluated Under Peninsular Zone of the Country by AMMI Model