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dc.contributor.authorAgre, P.
dc.contributor.authorNwachukwu, C.
dc.contributor.authorOlasanmi, B.
dc.contributor.authorObidiegwu, J.
dc.contributor.authorNwachukwu, E.
dc.contributor.authorAdebola, P.
dc.contributor.authorDe Koeyer, D.
dc.contributor.authorAsrat, A.
dc.date.accessioned2021-06-24T10:05:19Z
dc.date.available2021-06-24T10:05:19Z
dc.date.issued2020
dc.identifier.citationAgre, P., Nwachukwu, C., Olasanmi, B., Obidiegwu, J., Nwachukwu, E., Adebola, P., ... & Asrat, A. (2020). Sample preservation and plant sex prediction in white guinea yam (Dioscorea rotundata Poir.). Journal of Applied Biotechnology Reports, 7(3), 145-151.
dc.identifier.issn2322-1186
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7145
dc.description.abstractIntroduction: Yam (Dioscorea spp.) is an economically important staple food in tropical regions, especially for people in West Africa. Understanding of the flowering behavior of the crop to determine potential manipulation available to accomplish crop improvement at early stage remain key challenge in the yam breeding. The methods that reliably yield quality DNA and distinguishing sex type at the early stage of growth have been a challenge in yam genetics and breeding studies. This study assessed the effect of sample preservation methods on DNA quantity and quality during extraction and potential of DNA marker to diagnose plant sex at the early seedling stage in white Guinea yam. Materials and Methods: Five sample preservation methods were assessed for quality DNA extraction during field leaf tissue collection, namely liquid nitrogen, dry ice, silica gel, 95% ethanol, and oven drying. The predicted sex at the seedling stage using the molecular marker was further validated with the visual score for the sex phenotype at the flowering stage. Results: According to the findings of the present study, the DNA extracted from leaf samples preserved in liquid nitrogen, silica gel, dry ice, and oven drying methods were higher in molecular weights than samples stored in ethanol solution. Yam plant sex diagnosis with the DNA marker (sp16) identified a higher proportion of ZW genotypes (female or monoecious phenotypes) than the ZZ genotypes (male phenotypes) in the studied materials with 74% prediction accuracy. Conclusions: The results from this study provided valuable insights on suitable sample preservation methods for quality DNA extraction and the potential of DNA marker sp16 to predict sex in white Guinea yam.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent145-151
dc.language.isoen
dc.subjectDna
dc.subjectFlowering
dc.subjectPreservations
dc.subjectSex
dc.subjectGenotypes
dc.subjectPhenotypes
dc.subjectYams
dc.titleSample preservation and plant sex prediction in white guinea yam (Dioscorea rotundata Poir.)
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversity of Ibadan
cg.contributor.affiliationNational Root Crops Research Institute, Nigeria
cg.contributor.affiliationAgriculture and Agri-Food Canada
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidAGRE:2020
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectYam
cg.journalJournal of Applied Biotechnology Reports
cg.notesOpen Access Article; Published online: 11 Jul 2020
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.30491/jabr.2020.224143.1201
cg.iitaauthor.identifierPaterne AGRE: 0000-0003-1231-2530
cg.iitaauthor.identifierPatrick Adebola: 0000-0002-5155-6194
cg.iitaauthor.identifierDavid De Koeyer: 0000-0001-8064-6538
cg.iitaauthor.identifierAsrat Asfaw: 0000-0002-4859-0631
cg.futureupdate.requiredNo
cg.identifier.issue3
cg.identifier.volume7


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