Assessment on Genetic Variability Correlation and Path Analysis for Quantitative Traits in Blackgram (Vigna mungo L. Hepper)

Kumar, D. Praveen and Lal, Gabriyal M. and Babu, Kaila Satish and Rajasekhar, Jalla (2022) Assessment on Genetic Variability Correlation and Path Analysis for Quantitative Traits in Blackgram (Vigna mungo L. Hepper). International Journal of Plant & Soil Science, 34 (22). pp. 663-672. ISSN 2320-7035

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Abstract

Based on mean performance of 22 genotypes of Blackgram. Seed yield per plant was highest in case of KU-48 (6.08) followed by LBG-752 (6.00) genotypes. On the basis of Analysis of variance, significant difference was recorded for all the seed yield and its components indicating presence of large amount of variability in the genotypes. The magnitude of GCV and PCV recorded highest for seed yield per plant, number of pods per plant, biological yield per plant, number of clusters per plant, harvest index. High heritability coupled with high genetic advance as percent of mean was recorded for seed yield per plant, number of pods per plant, biological yield per plant, number of clusters per plant. Correlation at both genotypic and phenotypic level, seed yield per plant exhibited non-significant positive association with number of pods per plant, number of clusters per plant, number of primary branches per plant, days to maturity, biological yield per plant, plant height, harvest index, number of seeds per pod, pod length, days to 50% pod setting. Path analysis revealed that number of pods per plant harvest index registered high and positive direct effect on seed yield per plant. It indicates true relationship between these traits and direct selection for these traits will be rewarding for yield improvement.

Item Type: Article
Subjects: STM Digital > Agricultural and Food Science
Depositing User: Unnamed user with email support@stmdigital.org
Date Deposited: 27 Jan 2023 08:01
Last Modified: 15 Jun 2024 12:28
URI: http://research.asianarticleeprint.com/id/eprint/26

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