Home|Journals|Articles by Year|Audio Abstracts
 

Original Research

Fundam Appl Agric. 2022; 7(4): 327-335


Parent selection for hybridization in chili (Capsicum annuum L.) using multivariate analysis and K-means clustering

Farhana Sharmeen, Mohammed Mehfuz Hassan Saikat, Jalal Ahmed, Md. Tofazzal Islam, A. K. M. Aminul Islam.




Abstract

The study was conducted to elucidate the extent of genetic diversity of 28 chilli (Capsicum annuum L.) genotypes. Chilli plants of the selected genotypes were grown in the Field Laboratory of the Department of Genetics and Plant Breeding of Bangbandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh with recommended agronomic practices. The experiment was laid out in a randomized complete block design with tree replications. The analysis of variance revealed considerable variability among the genotypes for the character studied. Genetic diversity in chilli genotypes were estimated based on 16 growth and yield contributing characters using Mahalanobis’s D2 statistics and K-means clustering. The genotypes were grouped into four different clusters by non-hierarchical clustering. Cluster III had the maximum number (13) of genotypes followed by cluster I, IV and II with 7, 5 and 3 genotypes, respectively. The highest inter-cluster genetic divergence (9.87) was recorded between clusters II and IV, whereas the highest intra-cluster distance was recorded in cluster II (4.37). Cluster II was observed to be the most important with maximum cluster means for most of the valuable traits including number of fruits per plant and number of fruit yield per plant. The characters fruit yield/plant, days to 100% fruiting, days to first flowering and individual fruit weight contributed maximum towards divergence. Considering diversity pattern and other horticultural performance the Gen7 and Gen20 from cluster I, Gen8 and Gen10 from cluster IV and Gen24 from cluster III may be taken into consideration as better parents for an efficient hybridization programme of chilli.

Key words: Chilli, genetic variability, D2 statistics, clustering, genetic divergence






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.