International Journal of Agriculture, Environment and Biotechnology

  • Year: 2017
  • Volume: 10
  • Issue: 4

Genetic Diversity Analysis in Rice (Oryza sativa L.) Accessions using SSR Markers

  • Author:
  • Deep Rashmi1, Prashant Bisen1, Shoumik Saha1, Bapsila Loitongbam1, Sakshi Singh2, Pallavi 2, P.K. Singh1,
  • Total Page Count: 11
  • Page Number: 457 to 467

1Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India

2Centre of Advance Study Botany, Institute of Sciences, Banaras Hindu University, Varanasi, India

Abstract

Sixty-five rice accessions were analyzed to evaluated the genetic polymorphism and identification of diverse parents using simple sequences repeat (SSR) markers. These accessions showed significant phenotypic variation for all the characters studied. A total of 52 alleles were detected by 19 polymorphic markers showing highly polymorphic across all accessions with an average of 2.7 alleles per polymorphic marker. The marker RM-84 and RM-481 produced maximum 4 alleles. The PIC value ranged from 0.032 to 0.588 and marker RM231 was found to be the most appropriate marker to discriminate among the rice genotypes owing to the highest PIC value of 0.588. The cluster analysis showed that these accessions grouped in to nine clusters in which cluster IB-1a had maximum thirty-one genotypes followed by cluster IB-1b and cluster V. While highest dissimilarity coefficient value was observed between the cultivar LC-4 and IR-82635-B-B-47-and between OR-1946-2-1 and UPLRI-7 showing highly diverse genotypes. These accessions were showing wide genetic divergence among the constituent in it and may be directly utilized in hybridization programme for improvement of yield related traits.

52 alleles were detected with an average of 2.7 alleles per polymorphic marker.

PIC value ranged from 0.032 to 0.588, indicates that markers were highly informative and capable of distinguishing between genotypes.

Cultivar LC-4 and IR-82635-B-B-47-1 (0.0429) identified as highly diverse genotypes on the basis of dissimilarity coefficient.

Keywords

Oryza sativa accessions, Molecular diversity, SSR, PIC