Journal of Food Legumes
SCOPUS
  • Year: 2015
  • Volume: 28
  • Issue: 3

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

  • Author:
  • Rohit Kant1, Manoj Katiyar2, Suhel Mehandi2,, Vikas Verma1, Pariskhit1, Venkat Raman Pandey
  • Total Page Count: 2
  • Page Number: 247 to 248

1Department of Genetics and Plant Breeding, CSA University of Agriculture and Technology, Kanpur, (UP), India

2Crop Improvement Division, Indian Institute of Pulses Research, Kanpur, (UP), India

*E-mail: suhelgpb@gmail.com

Online published on 21 May, 2016.

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.

Keywords

Cluster analysis, genetic diversity, greengram, trait