Multivariate Analysis in Bread Wheat (Triticum aestivum L.) for Yield and Yield Contributing Traits

Abstract

The present investigation was conducted to examine the 20 Bread Wheat genotypes to study the genetic parameters, correlation and genetic diversity. The experiment was carried out in main experimental station of Agricultural Research Farm, Rama University (U.P), Mandhana, Kanpur during Rabi Season, 2020-21 in Randomized Block Design (RBD) with three replications. Analysis of variance showed highly significant differences among 20 Bread Wheat for 11 characters studied. Genetic divergence was estimated among 20 genotypes by using Mahalanobis’s D2 statistic. The genotypes were grouped into 5 clusters. Cluster 1 comprises maximum genotypes which is 15 in numbers namely (HPST-16-17-07, BHU 25, BHU 31, ZINCO1, ANKUR, PBW Zn 1, WB 02, HPAN 101, HPAN 147, HPAN 164, HPAN 57, HPAN 65, HPAN 111, HPAN 127, HD 2967) followed by cluster 2 comprises 1 genotypes ((HPAN 42), cluster 3 comprises 1 genotype (HPST 16 -17-15), cluster 4 comprises 2 genotype (HPST 16-17-16, CRD GHEHU 1), cluster 5 comprises 1 genotype (PBW 677). The maximum Intra-cluster (D2) was registered for cluster 1 (7.93). Inter-cluster distance (D2) was found maximum between cluster 4 and cluster 5. Cluster 4 showed maximum cluster mean value for grain yield per plant. Cluster means indicated that none of the clusters was superior for all the characters studied. Therefore, hybridization between genotypes belonging to different clusters is suggested for development of superior genotypes. Thousand seed weight was the main factor contributing towards genetic diversity accounting for (26.32%) followed by grain per spikelets (25.79%).