Evidence map›Paper›PMID 40341701›Full record

ArticlePloS one2025

Genetic diversity and population structure of soybean (Glycine max (L.) Merril) germplasm.

Tenena Silue, Paterne Angelot Agre, Bunmi Olasanmi, Adeyinka Saburi Adewumi, Idris Ishola Adejumobi, Abush Tesfaye Abebe

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tenena SiluePan African University Life and Earth Sciences Institute (including Health and Agriculture), University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID 0009-0008-7107-3481
Paterne Angelot AgreInternational Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria.
Bunmi OlasanmiDepartment of Crop and Horticultural Sciences, University of Ibadan, Ibadan, Oyo State, Nigeria.
Adeyinka Saburi AdewumiInternational Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria.
Idris Ishola AdejumobiInternational Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria.ORCID 0000-0002-6533-0612
Abush Tesfaye AbebeInternational Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean (Glycine max (L.) Merril) is a significant legume crop for oil and protein. However, its yield in Africa is less than half the global average resulting in low production, which is inadequate for satisfying the continent's needs. To address this disparity in productivity, it is crucial to develop new high-yielding cultivars by utilizing the genetic diversity of existing germplasms. Consequently, the genetic diversity and population structure of various soybean accessions were evaluated in this study. To achieve this objective, a collection of 147 soybean accessions was genotyped using the Diversity Array Technology Sequencing method, enabling high-throughput analysis of 7,083 high-quality single-nucleotide polymorphisms (SNPs) distributed across the soybean genome. The average values observed for polymorphism information content (PIC), minor allele frequency, expected heterozygosity and observed heterozygosity were 0.277, 0.254, 0.344, and 0.110, respectively. The soybean genotypes were categorized into four groups on the basis of model-based population structure, principal component analysis, and discriminant analysis of the principal component. Alternatively, hierarchical clustering was used to organize the accessions into three distinct clusters. Analysis of molecular variance indicated that the genetic variance (77%) within the populations exceeded the variance (23%) among them. The insights gained from this study will assist breeders in selecting parental lines for genetic recombination. The present study demonstrates that soybean improvement is viable within the IITA breeding program, and its outcome will help to optimize the genetic enhancement of soybeans.

Indexed as

Genetic VariationGlycine maxGene FrequencyGenome, PlantGenotypePolymorphism, Single NucleotidePrincipal Component Analysis

Identifiers

PMID40341701
PMCPMC12061401

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Registered trials

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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.