Assessment of genetic diversity based on cluster and principal component analyses for yield and its contributing characters in Mysuru jasmine (Mysore Mallige)

Abstract

An experiment was carried out to analyze multivariate analysis based on cluster and principal component (PC) for yield and its eighteen contributing traits in 30 Mysore mallige local collections during 2018-19. The cluster analysis categorized all 30 Mysore mallige into 2 major clusters. Extreme genetic divergence was estimated among clusters. Average intra-cluster distance was found maximum (D2=1254.18) between cluster 1 and cluster 2. The character flower bud weight (53.10%) contributed maximum to the genetic divergence among the genotypes followed by number of petals (18.85%). Highest cluster mean values length of corolla tube, length of the leaf was found in cluster I followed by cluster II. Principal component analysis revealed that first five principal components (PC1, PC2, PC3, PC4 and PC5) accounted for 83.44% of the total variations with the proportionate contribution values of 40.88%, 18.42%, 10.17% and 8.19% respectively. Promising diverse parents identified based on cluster and PC analyses could be selected for future crop improvement.