Ellapu Govardhana Rao*, GR Lavanya, KV Gowtham, Dasari Praneeth and N Hemalatha
In the present study total 41 lines including a check, were evaluated in Randomized Block Design (RBD). For studying genetic diversity and Principle Component Analysis (PCA) using both uni and multi variant analysis. Based on D2 values, 41 genotypes were grouped into seven clusters. Cluster I with 4 genotypes, cluster II with 9 genotypes, cluster III with 5 genotypes, cluster IV with 2 and V with 5 genotypes cluster VI and VII with 8 genotypes in each. Non-hierarchical Euclidean cluster analysis using 11 quantitative characters revealed maximum diversity between cluster VI and VIII. The PF score creates a perfect base for the estimation of variability and for proper selection among complex characters. PCA-1 and PCA-2 combined together contributed with (6.04) of variation among seed yield characters. Based on cluster means, cluster distances and their performance C-1027, C-222, JGM-7, NBEG-47, IPC-10-134 were identified for inclusion in hybridization programme.
Published Date: 2023-10-13; Received Date: 2023-08-30
