Legume Research - An International Journal
Web of Science
  • Year: 2021
  • Volume: 44
  • Issue: 3

Assessment of genetic divergence in horsegram [Macrotyloma uniflorum (Lam.) Verdc.] using quantitative traits

  • Author:
  • S. Priyanka, R. Sudhagar, C. Vanniarajan1, K. Ganesamurthy
  • Total Page Count: 7
  • Page Number: 261 to 267

1Department of Plant Breeding and Genetics, Agricultural College and Research Institute, TNAU, Madurai-625 104, Tamil Nadu, India

Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India

*Corresponding Author: R. Sudhagar, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India. Email: sudhagar.r@tnau.ac.in

Online published on 7 April, 2021.

Abstract

Genetic relatedness studies using 12 quantitative traits on 252 genotypes in horsegram revealed wide spectrum of variability for yield components. The genotypes were grouped into 25 clusters based on estimates of D2 statistic. Cluster I had the largest number with 83 genotypes followed by cluster II (77 genotypes), cluster IV (33 genotypes) and cluster III (30 genotypes). On the contrary, 20 solitary clusters from cluster V to XXV were formed except cluster XIV (9 genotypes) which could be given priority for specific trait improvement. Cluster XXI recorded the highest mean value for single plant yield (65.51 g). The intra and inter cluster distance was varying in magnitude indicating the presence of larger genetic diversity among accessions. The highest intra cluster distance was noticed in cluster XIV (23.63) followed by cluster IV (22.37). Maximum inter cluster distance was observed between solitary clusters viz., cluster XXI & XVII followed by cluster XXI & XV and cluster XXI & VII. These clusters would offer superior segregants when employed in hybridization programme.

Keywords

Cluster distance, D2 statistic, Genetic divergence, Horsegram, Tocher’s value