Vol. 9, Issue 1 (2021)
Assessment of genetic diversity based on cluster and principal component analyses for yield and its contributing characters in Mysuru jasmine (Mysore Mallige)
Author(s): Rahul KN, Venkatesha SC, B Fakrudin, Mukesh L Chavan and Yathindra HA
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.
DOI: 10.22271/chemi.2021.v9.i1x.11470
Pages: 1691-1695 | 360 Views Downloads
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How to cite this article:
Rahul KN, Venkatesha SC, B Fakrudin, Mukesh L Chavan, Yathindra HA. Assessment of genetic diversity based on cluster and principal component analyses for yield and its contributing characters in Mysuru jasmine (Mysore Mallige). Int J Chem Stud 2021;9(1):1691-1695. DOI: 10.22271/chemi.2021.v9.i1x.11470
