Evidence map›Paper›PMID 42151790›Full record

ArticleBMC plant biology2026

Uncovering superior alleles and genetic loci for yield-related traits in mungbean (Vigna radiata L. Wilczek) through a genome-wide association study.

Md Shahin Uz Zaman, Md Shahin Iqbal, Md Golam Azam, Md Jahangir Alam, M Asaduzzaman Prodhan, Md Sultan Mia, William Erskine, A K M Mahbubul Alam, Ramakrishnan Madhavan Nair

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Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Md Shahin Uz Zaman *Pulses Research Centre, Bangladesh Agricultural Research Institute, Ishwardi-6620, Pabna, Bangladesh. shahinprcbd@gmail.com.
Md Shahin Iqbal *College of Agricultural Sciences, IUBAT-International University of Business Agriculture and Technology, Uttara Model Town, Dhaka, 1230, Bangladesh. shahinsarvi@gmail.com.ORCID http://orcid.org/0000-0003-1687-0003
Md Golam AzamPulses Research Centre, Bangladesh Agricultural Research Institute, Ishwardi-6620, Pabna, Bangladesh.
Md Jahangir AlamPulses Research Centre, Bangladesh Agricultural Research Institute, Ishwardi-6620, Pabna, Bangladesh.
M Asaduzzaman ProdhanSchool of Biological Sciences, The University of Western Australia, 35 Stirling Highway, Perth, WA, 6009, Australia.
Md Sultan MiaSchool of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Perth, WA, 6009, Australia.
William ErskineSchool of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Perth, WA, 6009, Australia.
A K M Mahbubul AlamPulses Research Centre, Regional Agricultural Research Station, Bangladesh Agricultural Research Institute, Hatahazari-4330, Chattogram, Bangladesh.
Ramakrishnan Madhavan NairWorld Vegetable Center, South Asia /Central Asia, ICRISAT Campus, Patancheru, 502324, Hyderabad, Telangana, India.

Funding

Australian Centre for International Agricultural Research CIM/2014/079 and CIM/2019/144
6 · The paper itself

Abstract

backgroundMungbean is a key warm-season legume crop in South and Southeast Asia, but its low productivity, driven by limited genetic diversity, necessitates dissecting the phenotypic diversity and genetic basis of yield-related traits to develop stable, high-yielding varieties.

resultsIn this study, 296 mungbean germplasm from the World Vegetable Center mini-core collection were evaluated in Bangladesh. Of these, 206 genotypes produced flowers and seeds, and these were subsequently evaluated over three years. These genotypes exhibited significant variation in phenological and yield-related traits: flowering time, maturity, plant height, pods per plant, 100 seeds weight and seed yield. Moderate to high broad-sense heritability was found for all phenotypic traits. The significant environmental (year) effects and genotype × year interaction, and comparatively lower heritability for the combined multi-year (MET) analysis compared to single-year analysis for most of the traits highlighted strong environmental influences. Using MET data, a genome-wide association study (GWAS) using 4,307 high quality SNPs obtained from DArT sequencing identified 18 significant SNPs located in 16 genomic regions across the six mungbean chromosomes (1, 2, 5, 6, 7 and 8) associated with the six traits. Further, we identified five genotypes (G91, G106, G107, G125, and G130) with a higher number of favorable alleles and superior yield performance. We also employed genomic prediction models and found moderate prediction accuracies (> 30%) for 100 seeds weight and seed yield.

conclusionsThis study has identified a few promising genotypes and several novel genomic regions and putative candidate genes. These results will assist in incorporating important alleles into elite mungbean germplasm through marker-assisted breeding and/or genomic prediction to improve mungbean yield. Future studies should validate these loci and genotypes across diverse environments and breeding populations to ensure their stability and practical usefulness in cultivar development.

Indexed as

Quantitative Trait LociVignaAllelesGenome-Wide Association StudyGenotypePhenotypePolymorphism, Single NucleotideSeedsFavorable allelesGenomic predictionGWASMungbeanPhenologyYield related traits

Identifiers

PMID42151790
PMCPMC13352907

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