Electronic Journal of Plant Breeding
Open Access
SCOPUS
  • Year: 2022
  • Volume: 13
  • Issue: 4

Genetic diversity analysis for yield and yield attributing characters in rice (Oryza sativa L.)

  • Author:
  • B. Hema Sai1,*, B. Rupesh Kumar Reddy1, M. Shanthi Priya2, Lakshminarayana R. Vemireddy3
  • Total Page Count: 6
  • Page Number: 1282 to 1287

1Department of Genetics and Plant Breeding, S. V. Agricultural College, Tirupati-517502, Andhra Pradesh, India

2Department of Genetics and Plant Breeding, Agricultural Research Station, Perumallapalle, Tirupati -517505, Andhra Pradesh, India

3Department of Molecular Biology and Biotechnology, S. V. Agricultural College, Tirupati-517502, Andhra Pradesh, India

*E-Mail: hemasaibavisetti1998@gmail.com

Online Published on 30 January, 2023.

Abstract

In the present study, 60 rice genotypes were selected to evaluate the genetic divergence for 15 yield and yield attributing characters. Based on Mahalanobis D2 statistic, the 60 genotypes were grouped into nine clusters. On the basis of genetic distance and cluster means, clusters IV and IX, VI and IX, I and IX, were identified as clusters with high inter-cluster distance. Genotypes of these clusters could be used as parents in crop improvement programmes for generation of promising segregants. Days to maturity and thousand grain weight were observed to contribute highly towards divergence. Hybridisation between the genotypes SMB3 (cluster VIII) and Juma (cluster IV) could be recommended for recombination breeding to get superior transgressive segregants for earliness and desirable yield attributing characters.

Keywords

D2 Mahalanobis, Diversity Analysis, Yield and yield attributing characters