Journal of Environmental Biology

Evaluation of morphological and molecular characterization

of rice (Oryza sativa L.) through SSR marker

under saline stress condition

J. Johnny Subakar Ivin¹, S. Kayathri¹, Ch. Raveendra², M. Anbarasu³ and Y. Anbuselvam¹*   

¹Departent of Genetics and Plant Breeding, Faculty of Agriculture, Annamalai University, Chidambaram-608 002, India

²Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai-625 104, India

³Department of Agronomy, School of Agricultural Science, Bharath Institute of Higher Education and Research, Chennai -600 073, India

*Corresponding Author Email : yanbuselvam@gmail.com                *ORCiD: https://orcid.org/0000-0003-3783-9013

Received: 17.09.2021                                                                                                   Revised: 30.12.2021                                                                                       Accepted: 26.04.2022

Abstract

Aim: To assess 43 rice genotypes for their resistance to salinity and to assess the hereditary variety by 10 quantitative characteristics just as 40 SSR markers.

Methodology: The seedlings were scored on the basis of 1-9 scale of SES following 10 days of 12 dS/m EC. The morphological traits (10 quantitative traits) were evaluated under natural saline soils (EC: 3.1; pH 7.8) to assess the diversity. At molecular level, 40 Simple Sequence Repeat (SSR) markers were also used to evaluate the diversity in different rice genotypes.

Results: The cluster analysis of genotypes based on the morphological traits, identified the Amogh, Vasundhara, AC39040, PS336, and Paiyur-1 clustered in the Pokkali and Nona Bokra clusters. A total of 111 alleles were produced from 26 polymorphic SSR markers, with an average of 4.26 alleles per locus. The PIC value ranged from 0.314 (RM 13) to 0.824 (RM 6283) with an average of 0.633 and the expected heterozygosity varied from 0.498 to 0.844 with a mean of 0.690. Clustering of genotypes based on the molecular data clubbed Pokkali, AC35534, TRY-1, AC39014, Paiyur-1, JGL3844, Vasundhara, White Ponni, PS 349, AC39040, CR143202, and Nona Bokra in one cluster.

Interpretation: The combination of screening at the seedling stage, morphological diversity, and molecular diversity clearly show the Vasundhara, AC39040, and Paiyur-1 as new sources of salinity. These genotypes may be further explored to identify novel genes/(QTLs) Quantitative Trait Loci, which could increase the production under salt-affected soils.

Key words: Morphological diversity, Molecular diversity, Saline stress, Salinity screening

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