Madras Agricultural Journal
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Research Article | Open Access | Peer Review

Genetic Variability, Association and Path Coefficient Analyses in Segregating Populations of Black Gram (Vigna mungo (L.) Hepper)

Volume : 108
Issue: December(10-12)
Pages: -
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Published: January 10, 2022
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Abstract


The experiment was conducted at the National Pulses Research Centre,Vamban, during Kharif 2020. F2 generation of four crosses was utilized inthis study. Around 150-200 single plants per cross were used for observation.The traits viz., plant height, number of branches per plant, number of clusterper plant, number of pods per cluster, number of pods per plant, 100 - seedweight and seed yield per plant recorded high PCV, GCV, high heritabilityalong with high genetic advance as per cent of the mean. It indicatedthat these traits were less influenced by the environment and possessedhigh genetic variability. Also, these traits had a positive and significantcorrelation with seed yield in most of the crosses. The trait number podsper plant recorded positive and high direct effects on seed yield. Hence,based on correlation and path analyses, the number of pods per plant canbe considered as a selection index for seed yield improvement programmein blackgram. However, population-specific selection indices are preferredas the association of traits varies with the populations.

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© The Author(s), 2025. Published by Madras Agricultural Students' Union in Madras Agricultural Journal (MAJ). This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited by the user.

Keywords


Blackgram; Segregating population; Variability studies; Correlation analysis; Path analysis

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