IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0332895.html
   My bibliography  Save this article

Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes based on agro-morphological traits and SNP markers

Author

Listed:
  • Abebawork Tilahun Assfaw
  • Olasanmi Bunmi
  • Agre Paterne
  • Godfree Chigeza
  • Hapson Mushoriwa
  • Kayode Fowobaje
  • Abush Tesfaye Abebe

Abstract

Soybean (Glycine max) is one of the world’s most important oilseed crops and has adapted to various environmental conditions. Yields of soybeans in Nigeria are notably low due to different production constraints, including the limited availability of improved varieties and the slow replacement rate of old varieties with new and high-yielding ones. Ensuring high genetic diversity in the working germplasm is among the primary factors for the success of breeding programs in identifying high-yielding and well-adapted improved varieties. This study aimed to assess the genetic diversity and population structure of 45 soybean breeding lines of the International Institute of Tropical Agriculture soybean breeding program at the advanced evaluation stage based on phenotypic traits and SNP markers to support breeding strategies. Field trials were conducted in 2022 across three International Institute of Tropical Agriculture stations in Nigeria using a 5 × 9 alpha-lattice design with three replications. The collected yield and yield component data were subjected to analysis of variance, mean comparison, principal component analyses, and cluster analyses using R software. The genotypes were further assessed using 10,630 SNP markers obtained from DArTseq genotyping. The combined analysis of variance revealed a significant genotype × location interaction for grain yield and a highly significant difference in days to 50% flowering and days to 95% maturity. The genotypes G02, G10, G11, G01, and G24 were significantly superior in grain yield. Principal component analysis showed that the first three components explained 64.8% of total variation, with major contributions from traits such as lodging score, hundred seed weight, plant height, nodulation, and days to 50% flowering. Hierarchical clustering grouped the genotypes into five clusters, highlighting desirable traits such as high yield, early maturity, and lodging tolerance. SNP-based population structure grouped the genotypes into three distinct subpopulations. The SNP markers showed average observed heterozygosity, expected heterozygosity, minor allele frequency, and polymorphic information content of 0.08, 0.27, 0.20, and 0.22, respectively, which showed the existence of considerable genetic variation among the studied genotypes.

Suggested Citation

  • Abebawork Tilahun Assfaw & Olasanmi Bunmi & Agre Paterne & Godfree Chigeza & Hapson Mushoriwa & Kayode Fowobaje & Abush Tesfaye Abebe, 2025. "Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes based on agro-morphological traits and SNP markers," PLOS ONE, Public Library of Science, vol. 20(10), pages 1-23, October.
  • Handle: RePEc:plo:pone00:0332895
    DOI: 10.1371/journal.pone.0332895
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0332895
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0332895&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0332895?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0332895. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.