Madras Agricultural Journal
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Research Article | Open Access | Peer Review

MULTIVARIATE ANALYSIS OF GENETIC DIVERGENCE IN BLACKGRAM

Volume : 73
Issue: Jun-jun
Pages: 317 - 320
Published: September 25, 2023
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Abstract


Twentyfour geographically diverse blackgram (Vigna mungo (L) Hepper) varieties were grouped into nine clusters on the basis of multivariate analysis for nine yield traits. Characters like yield, pods/plant, plant height, seed weight and days to maturity were found to contribute much to the genetic divergence in blackgram. The genetic clustering pattern revealed the absence of parallelism between geogra- phic and genetic diversity. Inter-cluster distances and mean cluster character values indicated that hybridization of cluster lil varieties (LBG 295, LBG-296, UG-135) with cluster-VIII variety (H-76-1) would exhibit high heterosis and also result in segre- gants with higher yield.

DOI
Pages
317 - 320
Creative Commons
Copyright
© 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.

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