Sonaniya, Pallavi and Ram, Lekha and Soumith, Gundlapalli and Solanki, Ravindra and Bamaniya, Ghanshyam and Sonaniya, Rahul (2024) Assess the Magnitude of Genetic Diversity in Advance Breeding Line of Mungbean with Respect to Seed Yield and Component Traits. Journal of Scientific Research and Reports, 30 (5). pp. 959-969. ISSN 2320-0227
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Abstract
The study was conducted across four distinct environments in Madhya Pradesh during the 2021 kharif season, utilizing a Randomized Complete Block Design involving fourteen Mungbean genotypes with three replications. Examination of genetic parameters unveiled a notable pattern: the phenotypic coefficient of variation (PCV) consistently exceeded the genotypic coefficient of variation (GCV) across all observed traitsof particular interest were the traits demonstrating the highest PCV and GCV values, notably seed yield per plant in E2 followed by biological yield per plant in E1. These findings strongly suggest the prevalence of additive gene action influencing these traits, as indicated by their high heritability estimates. The traits with the highest heritability values were seed yield per plant in E3 and E4, biological yield per plant in E2 and E4, and number of pods per plant in E1. These results underscore the genetic basis underlying these traits and their potential for targeted breeding efforts. Cluster I was the largest among all the clusters comprising 8 genotypes, whereas cluster II had 5 genotypes. While the clusters III were solitary cluster consisting one genotype only. Cluster II showed maximum intra cluster D2 value, whereas clusters III showed zero value for Intra cluster distance. The highest inter cluster divergence was observed between genotypes of cluster II and III. The percent contribution of individual characters toward the total divergence was found high for Harvest index, whereas Number of primary branches showed low percentage of contribution
Item Type: | Article |
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Subjects: | GO for STM > Multidisciplinary |
Depositing User: | Unnamed user with email support@goforstm.com |
Date Deposited: | 20 Apr 2024 06:22 |
Last Modified: | 20 Apr 2024 06:22 |
URI: | http://archive.article4submit.com/id/eprint/2793 |