Evidence map›Paper›PMID 41977707›Full record

ArticlePlants (Basel, Switzerland)2026

GWAS and Regularised Regression Identify SNPs Associated with Candidate Genes for Stage-Specific Salinity Tolerance in Rice.

Sampathkumar Renukadevi Sruthi, Zishan Ahmad, Anket Sharma, Venkatesan Lokesh, Natarajan Laleeth Kumar, Arulkumar Rinitta Pearlin, Ramanathan Janani, Yesudhas Anbu Selvam, Muthusamy Ramakrishnan

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In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Sampathkumar Renukadevi SruthiGenetics and Plant Breeding, Amrita School of Agricultural Sciences, Amrita Vishwa Vidyapeetham, Coimbatore 642109, India.
Zishan AhmadState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Bamboo Research Institute, Key Laboratory of National Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, School of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Anket SharmaState Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang Key Laboratory of Non-Wood Forest Products Quality Regulation and Processing Utilization, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0002-5251-9045
Venkatesan LokeshDepartment of Genetics and Plant Breeding, Faculty of Agriculture, Annamalai University, Annamalai Nagar, Chidambaram 608002, India.
Natarajan Laleeth KumarDepartment of Genetics and Plant Breeding, Faculty of Agriculture, Annamalai University, Annamalai Nagar, Chidambaram 608002, India.
Arulkumar Rinitta PearlinDepartment of Genetics and Plant Breeding, Faculty of Agriculture, Annamalai University, Annamalai Nagar, Chidambaram 608002, India.ORCID 0009-0003-7308-4073
Ramanathan JananiDepartment of Genetics and Plant Breeding, Faculty of Agriculture, Annamalai University, Annamalai Nagar, Chidambaram 608002, India.ORCID 0009-0006-6759-217X
Yesudhas Anbu SelvamDepartment of Genetics and Plant Breeding, Faculty of Agriculture, Annamalai University, Annamalai Nagar, Chidambaram 608002, India.
Muthusamy RamakrishnanState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Bamboo Research Institute, Key Laboratory of National Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, School of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0001-7819-339X

Funding

University Grants Commission Savitribai Jyotirao Phule Single Girl Child Fellowship (SJSGC), Senior Research Fellowship [F. No. 82-7/2022 (SA-III); Registration ID: UGCES 22-OB-TAM-F-SJSGC-4064]
6 · The paper itself

Abstract

Soil salinity remains a major constraint to rice productivity, particularly during early developmental stages when plants are highly sensitive to osmotic and ionic stress. In this study, we evaluated 201 genetically diverse rice genotypes from the 3K Rice Diversity Panel to investigate stage-specific mechanisms of salinity tolerance and develop machine learning-based predictive models for rapid phenotypic screening. Morphological and physiological traits were measured under control and saline conditions at germination and early seedling stages to derive Stress Tolerance Indices (STIs). The average membership function value (AMFV), calculated from multi-trait STI profiles, effectively captured variation in salinity responses and enabled classification of genotypes into five tolerance categories. Genome-wide association analysis using high-density SNP markers identified 36 significant marker-trait associations, including potentially novel SNPs on chromosomes 1 and 12. Several loci co-localized with candidate genes (

Indexed as

GWASphenotypingphysiologyplant stresspredictionricesalinitySNP

Identifiers

PMID41977707
PMCPMC13075185

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