Asian Journal of Microbiology, Biotechnology & Environmental Sciences Paper

Vol. 24, Issue 4, 2022 ; Page No.(673-676)

GENETIC DIVERGENCE AND CLUSTER ANALYSIS FOR YIELD ATTRIBUTING TRAITS IN ELITE LINES OF CHILLI

SHWETA TIWARI, KANCHAN BHAN, YOGENDRA SINGH, SHIV RAMAKRISHNA AND NIDHI PATHAK

Abstract

The genetic diversity of thirty chilli elite lines was estimated using Mahalanobis D2 and 12 yield attributing traits. ANOVA found that there was a significant degree of variation among elite lines. Because hybrids between lines of various clusters serve a vital role in choosing possible parents and assessing the degree of divergence in the chilli elite lines, genetic diversity knowledge is crucial in plant breeding. Fruit yield/plant (45.52) contributed the most (45.52 percent) to overall genetic difference, followed by fruit width (16.09). It also displayed lines that were divided into six groups. Clusters IV and V had the greatest intercluster distance, admitted lines from a diverse gene pool, and as per cluster mean analysis, these clusters contained high values for most of the yield attributing traits such as plant height, plant spread, fruit width, days of flower initiation, days of 50% flowering, and canopy temperature. The lines in these clusters act as superior segregants for yield traits and are 2020/CHIVAR-2, 2020/CHIVAR-3, K2, 2020/CHIVAR-5, 2020/ CHIVAR-7, 2020/CHIVAR-8, 2020/CHIVAR-9, 2018 CHIHYB 03, KASHI GAURAV, KASHI ANMOL.