Genetic diversity analysis in greengram ([Vigna radiata (L.) Wilczek]

Authors

  • ROHIT KANT Department of Genetics and Plant Breeding, CSA University of Agriculture and Technology, Kanpur (UP), India Author
  • MANOJ KATIYAR Crop Improvement Division, Indian Institute of Pulses Research, Kanpur, (UP), India Author
  • SUHEL MEHANDI Crop Improvement Division, Indian Institute of Pulses Research, Kanpur, (UP), India Author
  • VIKAS VERMA Department of Genetics and Plant Breeding, CSA University of Agriculture and Technology, Kanpur (UP), India Author
  • PARISKHIT Department of Genetics and Plant Breeding, CSA University of Agriculture and Technology, Kanpur (UP), India Author
  • VENKAT RAMAN PANDEY Department of Genetics and Plant Breeding, CSA University of Agriculture and Technology, Kanpur (UP), India Author

DOI:

https://doi.org/10.59797/jfl.v28i3.960

Keywords:

Cluster analysis, genetic diversity, greengram, trait

Abstract

50 greengram genotypes were evaluated during kharif 2011 for the analysis of ten important quantitative traits. Resultantly, five distinct clusters were obtained by using Tocher's clustering method. Among the clusters generated, cluster I and IV were found to be more diverse, and therefore, can be used in greengram improvement programs. Besides this, representative genotypes from each cluster may be selected for future hybridization to recover superior recombinants in advanced segregating generations. No relationship was recorded between genetic diversity and geographical origin.

References

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Published

2024-09-23

Issue

Vol. 28 No. 3 (2015)

Section

Short Communication

How to Cite

Genetic diversity analysis in greengram ([Vigna radiata (L.) Wilczek] . (2024). Journal of Food Legumes, 28(3), 247-248. https://doi.org/10.59797/jfl.v28i3.960