Evidence map›Paper›PMID 42835320›Full record

ArticleFrontiers in plant science2026

Genomic insights into sheath blight resistance: leveraging natural variation in the Bengal-Assam-Aus rice panel for multi-season association mapping.

R Naveenkumar, Siddharth Panda, Challa Vijay Kumar Reddy, S R Prabhukarthikeyan, G Sangeetha, Annamalai Anandan, Licon Kumar Acharya, Jauhar Ali

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Article in Frontiers in plant science, 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

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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

8 authors.

R Naveenkumar *Crop Improvement Division, Indian Council of Agricultural Research (ICAR)-Central Rice Research Institute (CRRI), Cuttack, India.
Siddharth Panda *Crop Improvement Division, Indian Council of Agricultural Research (ICAR)-Central Rice Research Institute (CRRI), Cuttack, India.
Challa Vijay Kumar ReddyDepartment of Genetics and Plant Breeding, College of Agriculture, Odisha University of Agriculture and Technology (OUAT), Bhubaneswar, India.
S R PrabhukarthikeyanCrop Protection Division, Indian Council of Agricultural Research (ICAR)-Central Rice Research Institute (CRRI), Cuttack, India.
G SangeethaCrop Protection Division, ICAR-Indian Institute of Horticulture Research, Bengaluru, India.
Annamalai AnandanCrop Improvement Division, Indian Council of Agricultural Research (ICAR)-Central Rice Research Institute (CRRI), Cuttack, India.
Licon Kumar AcharyaICAR- National Research Institute for Integrated Pest Management, New Delhi, India.
Jauhar AliRice Breeding Innovation Department, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sheath blight ranks among rice's most damaging diseases, cutting yield by up to half in severe outbreaks. No source of complete, durable resistance exists, so identifying the genetic basis of partial or quantitative resistance is a priority for breeding. Methods: We performed GWAS on 130 genotypes from the Bengal-Assam-Aus Panel (BAAP), phenotyped over three seasons viz., Wet 2018, Wet 2019, and Dry 2018-19, scoring disease severity by per cent disease index (PDI) and area under the disease progress curve (AUDPC). Results: Trait distributions were near-normal with substantial variation across genotypes, pointing to polygenic control of resistance. A strong genotype-by-environment interaction meant combined analysis wasn't appropriate, so we ran GWAS separately per season. This turned up 27 associated loci, three of which on chromosomes 1, 9, and 10 were consistent and high-confidence. The candidate genes underlying these peaks were Discussion: The predicted functions include protease inhibition, antifungal activity, and hormone regulation. Instead of relying on a single-gene mechanism, it's advisable to suggest a layered defense response. Collectively, these findings enhance our understanding of the genetic and biochemical aspects of sheath blight tolerance, providing breeders with specific targets to focus on in their efforts.

Indexed as

AO2BAAPBBTI4DEFL14GWASG x Eprotein modelingsheath blight

Identifiers

PMID42835320
PMCPMC13635157

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.