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dc.contributor.authorAgre, A.P.
dc.contributor.authorDassou, A.G.
dc.contributor.authorLoko, Y.
dc.contributor.authorIdossou, R.
dc.contributor.authorDadonougbo, E.
dc.contributor.authorGbaguidi, A.A.
dc.contributor.authorMondo, J.
dc.contributor.authorMuyideen, Y.
dc.contributor.authorAdebola, P.O.
dc.contributor.authorAsiedu, R.
dc.contributor.authorDansi, A.
dc.contributor.authorAsfaw, A.
dc.date.accessioned2021-11-12T14:50:13Z
dc.date.available2021-11-12T14:50:13Z
dc.date.issued2021
dc.identifier.citationAgre, A.P., Dassou, A.G., Loko, L.E., Idossou, R., Dadonougbo, E., Gbaguidi, A., ... & Asfaw, A. (2021). Diversity of white Guinea yam (Dioscorea rotundata Poir.) cultivars from Benin as revealed by agro-morphological traits and SNP markers. Plant Genetic Resources, 1-10.
dc.identifier.issn1479-2621
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7277
dc.description.abstractWhite Guinea yam (Dioscorea rotundata Poir.) is indigenous to West Africa, a region that harbours the crop's tremendous landrace diversity. The knowledge and understanding of local cultivars’ genetic diversity are essential for properly managing genetic resources, conservation, sustainable use and their improvement through breeding. This study aimed to dissect phenotypic and molecular diversity of white yam cultivars from Benin using agro-morphological and single nucleotide polymorphism (SNP) markers. Eighty-eight Beninese white Guinea yam cultivars collected through a countrywide ethnobotanical survey were phenotyped with 53 traits and genotyped with 9725 DArT-SNP. Multivariate analysis using phenotypic traits revealed 30 traits as most discriminative and explained up to 80.78% of cultivars’ phenotypic variation. Assessment of diversity indices such as Shannon–Wiener (H′), inverse Shannon (H.B.), Simpson's (λ) index and Pilou evenness (J) based molecular and phenotypic data depicted a moderate genetic diversity in Beninese white Guinea yam cultivars. Genetic differentiation of cultivars among country production zones was low due to the high exchange of planting materials among farmers of different regions. However, there was high genetic diversity within regions. Hierarchical clusters (HCs) on phenotypic data revealed the presence of two groups while HCs based on the SNP markers and the combined analysis identified three genetic groups. Our result provided valuable insights into the Beninese white Guinea yam diversity for its proper conservation and improvement through breeding.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-10
dc.language.isoen
dc.subjectBenin
dc.subjectGenetic Structures
dc.subjectLandraces
dc.subjectMorphology
dc.subjectDiversity
dc.subjectDioscorea
dc.subjectGenotypes
dc.subjectMolecular Diversity
dc.titleDiversity of white Guinea yam (Dioscorea rotundata Poir.) cultivars from Benin as revealed by agro-morphological traits and SNP markers
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationNational University of Sciences, Technologies, Engineering and Mathematics, Benin
cg.contributor.affiliationUniversité Evangélique en Afrique, Democratic Republic of Congo
cg.contributor.affiliationUniversity of Minnesota
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryBenin (Dahomey)
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidAGRE:2021
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectFood Security
cg.iitasubjectGenetic Improvement
cg.iitasubjectLivelihoods
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectYam
cg.journalPlant Genetic Resources: Characterization and Utilization
cg.notesOpen Access Article; Published online: 18 Oct 2021
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1017/s1479262121000526
cg.iitaauthor.identifierPaterne AGRE: 0000-0003-1231-2530
cg.iitaauthor.identifierPatrick Adebola: 0000-0002-5155-6194
cg.iitaauthor.identifierRobert Asiedu: 0000-0001-8943-2376
cg.iitaauthor.identifierAsrat Asfaw: 0000-0002-4859-0631
cg.futureupdate.requiredNo


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