Adaptability of Wheat Genotypes Under Mixed Model Methodology for North Eastern Plains Zone of the Country

Abstract

Best linear unbiased predictors of wheat genotypes were analysed as per analytic measures of adaptability for the North Eastern Plains zone of the country under mixed model framework. Among the tested genotypes, genotype K1006 had better adaptation while HD2733 & HD2967 were of specific adaptability during the cropping season of 2016-17. Biplot analysis based on first two significant principal components, accounted for 72.2 % of total GxE interaction sum of squares, observed stable performance of HD2967 and DBW187 genotypes while K1007 and HD2733 would be suitable for specific adaptations. Further, genotypes HD2967, DBW187 and HD3219 had expressed specific adaptation to Varanasi, Faizabad and Dumka, whereas K0307 and DBW39 were better adapted to conditions of Coochbehar & Chianki. Bikramganj with Manichak, Coochbehar with Chianki, Varanasi with Faizabad, Banka with Sabour and Bardwan maintained acute angles therefore would show similar performance of genotypes. Better adaptable genotypes with higher yield were HD2733, PBW762, HD3249 & DBW223 as per year cropping season of 2017-18. Biplot analysis identified HD2967, DBW233, HD3254 along with PBW762 and DBW39 genotypes of stable performance. Genotypes WH1218, DBW223, HD2733, HD3249 and DBW221 expressed unstable performance. Harmonic means of the relative performance of predicted genetic values by BLUP is suitable to identify the better adaptive genotypes with high yield.