International Journal of Chemical Studies
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P-ISSN: 2349-8528, E-ISSN: 2321-4902   |   Impact Factor: GIF: 0.565

Vol. 9, Issue 1 (2021)

Association and diversity analysis for yield attributing traits in advance generation of green gram (Vigna radiata (L.) Wilczek)


Author(s): Lakshay Goyal, CG Intwala, KG Modha and Vishwas R Acharya

Abstract: The present investigation reveals the association between yield and its contributing traits in a set of advanced generation of green gram genotypes. Seed yield per plant showed significant and positive correlation with plant height followed by pod length, pods per cluster and pods per plant whereas, 100 seed weight and harvest index showed positive but non-significant correlation. Path analysis indicated that the pod length has the highest positive direct effect on seed yield per plant, followed by harvest index, primary branches per plant, 100 seed weight, pods per cluster, protein content and pods per plant. Cluster analysis revealed divergence in 25 accessions by making four clusters. Cluster II and cluster IV showed highest inter cluster distance signifying that hybridisation between genotypes from these two clusters will exploit heterosis at a greater level. Selection criteria based on pod length, pods per cluster, protein content, 100 seed weight and seed yield per plant can be devised for further improvement of these genotypes.

DOI: 10.22271/chemi.2021.v9.i1aa.11504

Pages: 1934-1939  |  418 Views  112 Downloads

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How to cite this article:
Lakshay Goyal, CG Intwala, KG Modha, Vishwas R Acharya. Association and diversity analysis for yield attributing traits in advance generation of green gram (Vigna radiata (L.) Wilczek). Int J Chem Stud 2021;9(1):1934-1939. DOI: 10.22271/chemi.2021.v9.i1aa.11504
 

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