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Exploring the genetic diversity and population structure of aerial yams (Dioscorea bulbifera L.) DArT-seq and agronomic traits

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Listed:
  • Eunice Ekaette
  • Emeka Nwofia
  • Peter Okocha
  • Ikenna Nnnabue
  • Kenneth Eluwa
  • Jude Obidiegwu
  • Paterne A Agre

Abstract

Dioscorea bulbifera is an edible yam specie with aerial bulbils. Assessing the genetic diversity of D. bulbifera accession for cultivation and breeding purposes is essential for it genetic improvement, especially where the crop faces minimal attention. The aims of this study was to assess the genetic diversity of Dioscorea bulbifera accessions collected from Nigeria and accessions maintained at the genebank of International Institute of Tropical Agriculture (IITA) Ibadan. Accessions were profiled using quatitative and qualitative phenotypic traits and Diversity Array Technology SNP-markers. Multivariate analysis based phenotypic traits revealed high variability among the evaluated accessions and all phenotypic traits assessed were useful in discriminating the aerial yam accessions. Clustering analysis based phenotypic traits revealed the presence of two well defined clusters. Using DArT-Seq marker, the 94 accessions were classified into three genetic group through the admixture and the phylogeny analysis. The comparision of phenotypic and genotypic clustering revealed inconsistency membership across the two clustering methods. The study established a baseline for the selection of parental lines from the genetic groups for genetic improvement of the D. bulbifera.

Suggested Citation

  • Eunice Ekaette & Emeka Nwofia & Peter Okocha & Ikenna Nnnabue & Kenneth Eluwa & Jude Obidiegwu & Paterne A Agre, 2024. "Exploring the genetic diversity and population structure of aerial yams (Dioscorea bulbifera L.) DArT-seq and agronomic traits," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-19, August.
    • Handle: RePEc:plo:pone00:0306631
    DOI: 10.1371/journal.pone.0306631
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    1. Lê, Sébastien & Josse, Julie & Husson, François, 2008. "FactoMineR: An R Package for Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i01).
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