GxE Interactions Elucidated by AMMI, BLUP and Non Parametric Measures of Wheat Genotypes by Evaluated in North Eastern Plains Zone

Abstract

Highly significant effects of environments, GxE interactions and genotypes showed by AMMI analysis with respective contributions 53.2%, 24.9%, 3.5% towards total sum of squares. Interaction Principal Components axes (IPCA) values recommended the general adaptations of the genotype. IPCA-1 scores pointed for G4, G2, G7 while IPCA-2 selected G10, G3, G9 genotypes. Both ASV & ASV1 utilized 46.2% of interaction sum of squares recommended G4, G1, G12 wheat genotypes. Based on 97.8% of interactions sum of squares MASV1 measures identified G7, G3, G5 whereas MASV measure settled for G7, G3, G9. BLUP-based measures HMGV, RPGV and HMRPGV identified G2, G8, G1 genotypes. Non parametric composite measures viz NPi (1) observed suitability of G2, G5, G7 whereas NPi(2), for G10, G7, G9 while NPi(3) identified G10, G9,G7 genotypes of choice. NPi(4) found suitability of G10, G7, G9 genotypes. Biplot analysis of considered measures had seen about 65.4% of the total variation explained by first two significant Principal Components. NPi(2) , NPi(3) , NPi(4) formed a cluster adjacent to cluster of ASV, ASV1, MASV, MASV1, Si7 BLStd, BLCV measures. Small cluster of IPC4, IPC3 placed near to cluster of BLUP based measures. ASV and ASV1 showed moderate to strong positive correlations values while MASV and MASV1 showed moderate strong positive correlation values with Si1, Si2, Si3 Si4, Si5, Si6, Si7 NPi(1) , NPi(2) ,NPi(3), NPi(4) measures. Non parametric measures would be useful to explain the GxE interaction while augmented with other measures.