Indian Journal of Agricultural Research
SCOPUSWeb of Science
  • Year: 2025
  • Volume: 59
  • Issue: 1

Morpho-molecular diversity analysis in rice (Oryza sativa L.) genotypes using microsatellite markers

  • Author:
  • Simran Singh1, S.K. Singh1, Mounika Korada1,*, Amrutlal Khaire1, D.K. Singh1, Sonali Vijay Habde1, Prasanta Kumar Majhi1, Bhawana Rai1
  • Total Page Count: 8
  • Page Number: 15 to 22

1Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221 005, Uttar Pradesh, India

*Corresponding Author: Mounika Korada, Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221 005, Uttar Pradesh, India, Email: monikakorada@gmail.com

Online published on 24 June, 2025.

Abstract

The insight concerning genetic diversity and relationship among the rice genotypes is a basic contribution to the crop improvement programs. The present field experiment was conducted to study the level of diversity present in 47 rice genotypes using both morphological and molecular analysis.

The experiment was carried out at Agricultural Research Farm, Banaras Hindu University, Varanasi (U.P.), during Kharif2019 with 47 rice genotypes. Mahalanobis’ D2 analysis was carried out to evaluate the morphological diversity present among the genotypes and 24 polymorphic SSR markers were used for molecular analysis using the NTSYSpc software.

Mahalanobis’ D2 grouped 47 rice genotypes into 6 clusters based on the inter-se genetic distance. The highest inter-cluster distance (1134.14) was observed between clusters II and IV indicating the genotypes present in these clusters to be highly divergent. Molecular diversity analysis grouped the 47 rice genotypes into 3 main clusters i.e., cluster I, cluster II and cluster III, which were further divided into sub-clusters. Polymorphic Information Content varied from 0.12 to 0.86, with an average of 0.465. The highest PIC value was observed for locus RM 507 (0.86). All the 24 primers showed polymorphism and the number of alleles was common for all i.e., 2. Together, the morphological and molecular diversity analysis revealed that Desi Dhan and IR 91143-AC 293-1, Desi Dhan and BD 105, IR 85850 and Lal Sundiya, Chauli and Swarna were the most diverse genotypes among the 47 rice genotypes included in the study.

Keywords

D2 analysis, Dissimilarity coefficient, Microsatellite markers, Polymorphic information content, Rice