Evidence map›Paper›PMID 42023009›Full record

ArticleFrontiers in plant science2026

MAGIC population-based genetic dissection of yield-related traits under heat stress in wheat (

Ananta Bag, Hari Krishna, P N Vinodh Kumar, Shiwani Meena, Narayana Bhat Devate, Rahul Meena, Sudhir Kumar, Ravindra Patil, Uday Govinda Reddy, Amit Kumar Singh and 4 more

Abstract read
In one paragraph

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

14 authors.

Ananta BagDivision of Genetics, Indian Agricultural Research Institute, New Delhi, India.
Hari KrishnaDivision of Genetics, Indian Agricultural Research Institute, New Delhi, India.
P N Vinodh KumarDivision of Genetics, Indian Agricultural Research Institute, New Delhi, India.
Shiwani MeenaDivision of Genetics, Indian Agricultural Research Institute, New Delhi, India.
Narayana Bhat DevateDivision of Genetics, Indian Agricultural Research Institute, New Delhi, India.
Rahul MeenaDivision of Genetics, Indian Agricultural Research Institute, New Delhi, India.
Sudhir KumarDivision of Plant Physiology, Indian Agricultural Research Institute, New, Delhi, India.
Ravindra PatilGenetics and Plant Breeding Group, Agharkar Research Institute, Pune, India.
Uday Govinda ReddyDepartment of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, India.
Amit Kumar SinghDivision of Genomic Resources, Indian Council of Agriculture Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India.
Badal SinghDivision of Germplasm Evaluation, Indian Council of Agriculture Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India.
Neelu JainDivision of Genetics, Indian Agricultural Research Institute, New Delhi, India.
Pradeep Kumar SinghDivision of Genetics, Indian Agricultural Research Institute, New Delhi, India.
Gyanendra Pratap SinghDivision of Genetics, Indian Agricultural Research Institute, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat stress poses a significant challenge to wheat productivity, necessitating the identification of genetic loci conferring yield stability and resilience. This study evaluated a multi-parent advanced generation intercross (MAGIC) population for biomass (BM), grain weight per spike (GWPS), thousand grain weight (TGW), yield per plot (YLD), and heat susceptibility indices (HSI_BM, HSI_GWPS, HSI_TGW, HSI_YLD) under timely-sown irrigated (TSIR) and late-sown irrigated (LSIR) conditions across Delhi, Dharwad, and Pune. The population exhibited substantial phenotypic variation and yield and biomass positively correlated and inversely related to heat susceptibility, highlighting potential for selection under stress conditions. Genome-wide association studies identified SNPs across nearly all wheat chromosomes associated with BM, GWPS, TGW, YLD and their corresponding heat susceptibility indices (HSIs), with phenotypic variance explained (PVE) ranging from 3-15%. Major-effect loci (e.g., AX-94529210, AX-95104040 and AX-95204353 for GWPS; AX-95210025 for TGW, AX-94496657 for BM; AX-94877518, AX-94942005 and AX-95118494 for YLD) and numerous minor-effect SNPs contributed to trait variation, reflecting a polygenic architecture. Allelic effect analysis demonstrated consistent enhancement of yield and reduction of heat susceptibility across environments. Collectively, this study underscores the MAGIC population as a valuable resource for dissecting complex traits and provides genomic insights for marker-assisted breeding of high-yielding, heat-tolerant wheat varieties.

Indexed as

candidate genesgenome-wide association study (GWAS)heat susceptibility index (HSI)MAGIC populationmarker trait association (MTA)

Identifiers

PMID42023009
PMCPMC13095679

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