1Department of Genetics and Plant Breeding, B. A. College of Agriculture, Anand Agricultural University, Anand-388 110Gujarat, India
2Department of Genetics and Plant Breeding, S. D. Agricultural University, Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar-388 110Gujarat, India
3Department of Agricultural Biotechnology, Anand Agricultural University, Anand388 110Gujarat, India
*E-Mail: parthrahevar@gmail.com
Online published on 19 July, 2021.
An experiment was conducted to analyze the genetic diversity among 58 genotypes with 7 quantitative and 5 qualitative characters in chilli and two multivariate techniques; principal component analysis and cluster analysis. Based on D2 cluster analysis, the 58 genotypes were grouped into three distinct clusters. The highest inter cluster distance was observed between clusters I and III. The maximum contribution towards genetic divergence was shown by green fruit yield per plant (0.59) and primary branches per plant. Principal component analysis indicates that the first five principal components explain 74.90 per cent of the total variation. PC1 which accounted for the highest variation was mostly related to days to initiation of flowering and days to first picking as most of the important yield attributing and quality traits were present in PC1, PC2 and PC5. This study generally indicated that there was a significant genetic diversity among the test genotypes.
Chilli, Genetic divergence, Mahalanobis clustering, Principal component analysis
