Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 21 min ago
Peer-reviewedCC BY 4.0Plant Genetic Resources

Population structure and diversity of cowpea ( Vigna unguiculata [L.] Walp.): Genomic inference and preliminary distribution of breeding-relevant traits in a Niger-centred Sahelian diversity panel

Abstract

The study of genetic diversity is essential for understanding population structure and optimizing breeding programs. To support cowpea breeding efforts, we conducted a diversity study on a panel of 185 accessions, including 125 newly collected accessions from Niger and additional accessions provided by research institutions in Nigeria, Burkina Faso, Senegal and Niger. This study aimed to analyse cowpea population structure and genomic diversity and to provide a preliminary assessment of phenotypic variation across genomic clusters. Genotyping-by-sequencing generated 20,918 single nucleotide polymorphisms (SNPs), which were used to assess population structure and genetic diversity. Population structure was inferred using a Bayesian approach (ADMIXTURE), and the resulting clustering pattern was corroborated by a multivariate method (DAPC). Seven genetic clusters were identified (A1-A7). Accessions from Niger were predominantly assigned to clusters A1, A2, A3 and A5; those from Senegal were mainly assigned to A4, whereas accessions from Nigeria were predominantly assigned to A7. Strong genetic differentiation was observed between accessions from Nigeria and those from Niger. The evaluation of phenological traits and yield components revealed marked differences among clusters. Most clusters showed low and multimodal grain and husk yield distributions, whereas cluster A5 consistently combined early maturity, high haulm yield and superior reproductive performance, highlighting its breeding potential. Overall, this study generated a large SNP marker dataset and provided integrated genomic and preliminary phenotypic information for a diverse cowpea germplasm panel. These resources will be useful for further studies of population genetics, breeding and association mapping in cowpea, an important legume crop for Sahelian countries.

Related

  1. Genotyping by Sequencing (GBS) uncovers genetic diversity and population structure for salicornia breeding programs in Iran
    Fatemeh Loni, Nayer Azam Khoshkholgh Sima, Mohammad Reza Ghaffari +2
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textGenetics & genomicsCrossref
  2. Haplotype diversity and population genetic structure of Aethina tumida, an emerging global beekeeping pest in India
    R. Loganathan, Sachin S. Suroshe, K. M. Kumaranag +4
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textZoology & animal behaviourCrossref
  3. Genomic diversity, population structure, and relatedness of critically endangered Philippine eagles under conservation management
    Franchesca Pascual, Dhan Mikhail Perdon, Francis Tablizo +10
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textGenetics & genomicsCrossref
  4. Genome-wide assessment of genetic diversity and population structure of Capsicum in Southwestern Colombia using DArTseq markers
    Ronald Andrés Viáfara-Vega, Heiber Cárdenas-Henao
    PLOS OnePeer-reviewedCC BY 4.0Full textEcologyGenetics & genomicsPLOS
  5. Population Structure and Genetic Diversity Analyses Reveal Isolation That May Imperil the Northernmost Colony of the Endangered Australian Sea Lion
    Vanessa Morris, Anthony Chariton, Robert Harcourt +7
    Ecology and EvolutionPeer-reviewedCC BY 4.0Full textEcologyGenetics & genomicsHAL
BibTeX
@article{hamidou2026population,
  title = {{Population structure and diversity of cowpea ( Vigna unguiculata [L.] Walp.): Genomic inference and preliminary distribution of breeding-relevant traits in a Niger-centred Sahelian diversity panel}},
  author = {Hadiara Hamadou Hamidou and Abdoul-Aziz Saïdou and Abdou Harou and Chantal Hamelin and Falalou Hamidou},
  journal = {Plant Genetic Resources},
  year = {2026},
  month = sep,
  doi = {10.1017/s1479262126100781},
  url = {https://hal.inrae.fr/hal-05761525v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Population structure and diversity of cowpea ( Vigna unguiculata [L.] Walp.): Genomic inference and preliminary distribution of breeding-relevant traits in a Niger-centred Sahelian diversity panel
AU  - Hadiara Hamadou Hamidou
AU  - Abdoul-Aziz Saïdou
AU  - Abdou Harou
AU  - Chantal Hamelin
AU  - Falalou Hamidou
PY  - 2026
DA  - 2026/09/15
JO  - Plant Genetic Resources
DO  - 10.1017/s1479262126100781
UR  - https://hal.inrae.fr/hal-05761525v1
AB  - The study of genetic diversity is essential for understanding population structure and optimizing breeding programs. To support cowpea breeding efforts, we conducted a diversity study on a panel of 185 accessions, including 125 newly collected accessions from Niger and additional accessions provided by research institutions in Nigeria, Burkina Faso, Senegal and Niger. This study aimed to analyse cowpea population structure and genomic diversity and to provide a preliminary assessment of phenotypic variation across genomic clusters. Genotyping-by-sequencing generated 20,918 single nucleotide polymorphisms (SNPs), which were used to assess population structure and genetic diversity. Population structure was inferred using a Bayesian approach (ADMIXTURE), and the resulting clustering pattern was corroborated by a multivariate method (DAPC). Seven genetic clusters were identified (A1-A7). Accessions from Niger were predominantly assigned to clusters A1, A2, A3 and A5; those from Senegal were mainly assigned to A4, whereas accessions from Nigeria were predominantly assigned to A7. Strong genetic differentiation was observed between accessions from Nigeria and those from Niger. The evaluation of phenological traits and yield components revealed marked differences among clusters. Most clusters showed low and multimodal grain and husk yield distributions, whereas cluster A5 consistently combined early maturity, high haulm yield and superior reproductive performance, highlighting its breeding potential. Overall, this study generated a large SNP marker dataset and provided integrated genomic and preliminary phenotypic information for a diverse cowpea germplasm panel. These resources will be useful for further studies of population genetics, breeding and association mapping in cowpea, an important legume crop for Sahelian countries.
SN  - 1479-2621
SN  - 1479-263X
ER  -