Evidence map›Paper›PMID 42280769›Full record

ArticlePlants (Basel, Switzerland)2026

Genetic Diversity Analysis and Core Collection Development of Indian Mungbean (

Manickam Dhasarathan, Adhimoolam Karthikeyan, Santhi Madhavan Samyuktha, Lekshmi Jeeva Kasi Vishwanathan, Gunasekaran Ariharasutharsan, Natesan Senthil, Muthaiyan Pandiyan

Abstract read
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

7 authors.

Manickam DhasarathanDST-Centre of Excellence for Climate and Disaster Resilient Agriculture, Agro-Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641003, India.
Adhimoolam KarthikeyanCentre of Innovation, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625104, India.ORCID 0000-0002-6270-5597
Santhi Madhavan SamyukthaDepartment of Plant Breeding and Genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625104, India.ORCID 0000-0002-4048-1182
Lekshmi Jeeva Kasi VishwanathanDepartment of Entomology, Centre for Plant Protection Studies, Tamil Nadu Agricultural University, Coimbatore 641003, India.
Gunasekaran AriharasutharsanCentre of Innovation, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625104, India.ORCID 0000-0001-7643-935X
Natesan SenthilDepartment of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore 641003, India.ORCID 0000-0002-2930-0715
Muthaiyan PandiyanDr. M.S. Swaminathan Agricultural College and Research Institute, Tamil Nadu Agricultural University, Echangkottai, Thanjavur 614902, India.ORCID 0000-0002-0510-0444

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mungbean is an important legume crop native to India. In this study, 500 indigenous mungbean accessions collected from diverse eco-geographical regions of India were evaluated for agronomic trait genetic variability and core collection development. The accessions were grown in an augmented design during 2019 and 2020, and data were recorded for seven quantitative and 13 qualitative traits. Analysis of variance (ANOVA), frequency distribution, and box-plot analyses revealed substantial phenotypic variation among the accessions. Traits including plant height (PHT), number of pods per plant (NPP), hundred-seed weight (HSW), and single-plant yield (SPY) exhibited high heritability coupled with high genetic advance, indicating the predominance of additive genetic effects. Principal component analysis showed that the first three principal components explained 70% of the total phenotypic variation. The Shannon-Weaver diversity index further indicated high levels of genetic diversity within the population. Based on quantitative traits, the accessions were grouped into six major clusters and 42 sub-clusters, with SPY, NPP, HSW, PHT, and days to 50% flowering (DFF) contributing substantially to genetic divergence. Correlation analysis suggested that direct selection for SPY and indirect selection through associated traits, including NPP, HSW, PHT, NSP, and pod length (POL), may enhance yield improvement. The germplasm collection also possessed desirable traits such as high yield potential, contrasting maturity groups, and plant types suitable for mechanical harvesting and bold-seeded type. A representative core set comprising 50 accessions was developed using the PowerCore program, providing valuable genetic resources for mungbean breeding and genetic improvement programs.

Indexed as

agronomic traitscore collectiongreengrampulsesVigna spp.

Identifiers

PMID42280769
PMCPMC13258871

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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.