Integrating Different Adaptability Measures to Investigate Genotype × Environment Interactions to Identify Stable High-Yielding Wheat Genotypes

AMMI analysis had expressed the major share of variations in yield had been accounted by environments effects 37.5% followed by genotypes of 18.5% in a study of 12 wheat genotypes were evaluated at nine major locations of the peninsular zone during last cropping season.ASV had considered the first two interaction principal components and selected the DBW359, HI1605, NIDW1149, while MASV measure had exploited the contribution of significant interaction principal components had pointed for the DBW359, NIDW1149, UAS478 genotypes.The superiority index values had been identified the DBW359, NIDW1149, HI 1605 as of suitable genotypes for the zone.BLUP based analytic measures RPGV and RPGV*Meanb had favoured the DBW359, NIAW4028, NIAW3170 and HMRPGV & HMRPGV*Meanb had settled for DBW359, NIAW3170, HI 1665 wheat genotypes.Biplot analysis based on two principal components had observed NP i(3) had maintained the direct association with NP i ( 4) , IPC7 on one side and with S i 6 , NP i (2) , IPC1 measures on other side.Direct association of WAASB had observed with rASV, rMASV, ASV, MASV on right hand side and with W2, W3,W4, W5, rWAASB on the left side.Composite non parametric measures NP i (2) , NP i (3) , NP i (4) had clustered with IPC1, S i 6 values and placed besides the cluster of W2, W3, W4, W5, WAASB, ASV, MASV, rASV, rMASV, rWAASB in the second quadrant.