Indian Journal of Genetics and Plant Breeding (The)
SCOPUSWeb of Science
  • Year: 2026
  • Volume: 85
  • Issue: 3

Unveiling genetic diversity, fingerprinting, phenotypic and molecular characterization of rice (Oryza sativa L.) germplasm from Northeast India using SRAP and TRAP markers

  • Author:
  • Konsam Sarika7*, Irengbam Meghachandra Singh7, Ngangkham Umakanta Singh7, Elangbam Lamalakshmi Devi1, Harendra Verma2, Ayam Gangarani Devi3, Amit Kumar4, Salam Gunamani Singh5, Suvajit Karak6, Thokchom Repahini Devi7, Chongtham Chinglen Meetei7, Ramgopal Laha7
  • Total Page Count: 9
  • Page Number: 389 to 397

1ICAR Research Complex for Northeastern Hill Region, Sikkim Centre, Tadong737 102, Gangtok, Sikkim, India.

2ICAR Research Complex for Northeastern Hill Region- Nagaland Centre, Medziphema797 106, Nagaland, India.

3ICAR Research Complex for Northeastern Hill Region- Tripura Centre, Lembucherra799 210, Tripura, India.

4ICAR Research Complex for Northeastern Hill Region-Umiam793 122, Meghalaya, India.

5ICAR- Krishi Vigyan Kendra Imphal West, Lamphelpat795 004, Manipur, India.

6College of Agriculture, Central Agricultural University, Iroisemba795004, Imphal, Manipur, India.

7ICAR Research Complex for Northeastern Hill Region, Manipur Centre, Lamphelpat795 004Imphal, Manipur, India.

*Corresponding Author: Konsam Sarika, ICAR Research Complex for Northeastern Hill Region, Manipur Centre, Lamphelpat, Imphal795004, Manipur, India, E-Mail: konsams@gmail.com

Abstract

Northeast India, a part of the Indo-Burma biodiversity hotspot, harbours the richest genetic diversity reservoir for agricultural crops. The region is not only a centre of origin of rice but also a critical area where conservation of genetic diversity in crops is required. The analysis of 197 landraces/germplasm using phenotypic, genotypic and combined genotypic/phenotypic distances revealed ample genetic variation in the collections. Multivariate analysis for phenotypic variability indicated that 11 out of 13 phenotypic traits assessed were useful in discriminating the genotypes. Cluster analysis based on phenotypic data distinguished three clusters, while a corresponding analysis with SRAP and TRAP markers indicated four groups. Also, the combined analysis for the phenotypic and genotypic data provided four distinct clusters, revealing valuable information about the diversity among economically important agronomic traits. The present study also partitions the genotypes into distinct heterotic groups, thereby making it possible for parental selection and hybridization to maximize genetic diversity in the rice breeding program. Moreover, two combinations of SRAP and SRAP5 (ME01 and EM10) and SRAP6 (ME01 and EM07) with four TRAP combinations, TRAP1 (Auxr1 and FT14), TRAP2 (Auxr1 and T03), TRAP3 (Auxr1 and FT14) and TRAP5 (Auxr1 and T13) with high informative PIC score, greater than 0.70 effectively discriminated the current collections/genotypes for a robust fingerprint system.

Keywords

Rice, diversity, SRAP, TRAP, principal component analysis, polymerase chain reaction, PIC