CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • International Institute of Tropical Agriculture (IITA)
    • IITA Journal Articles
    • View Item
       
    • CGSpace Home
    • International Institute of Tropical Agriculture (IITA)
    • IITA Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Cytological and molecular characterization for ploidy determination in yams (Dioscorea spp.)

    Thumbnail
    View/Open
    Journal Article (2.154Mb)
    Authors
    Gatarira, C.
    Sladekova, L.
    Nemeckova, A.
    Simonikova, D.
    Paliwal, R.
    Asfaw, A.
    Abberton, Michael T.
    Gueye, B.
    Asiedu, R.
    Cizkova, J.
    Hribova, E.
    Dolezel, J.
    De Koeyer, D .
    Adetimirin, V.
    Bhattacharjee, Ranjana
    Date Issued
    2021
    Date Online
    2021-09
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
    Metadata
    Show full item record
    Share
    
    Citation
    Gatarira, C., Sládeková, L., Němečková, A., Šimoníková, D., Paliwal, R., Asfaw, A., ... & Bhattacharjee, R. (2021). Cytological and Molecular Characterization for Ploidy Determination in Yams (Dioscorea spp.). Agronomy, 11(10), 1897: 1-13.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/115332
    DOI: https://doi.org/10.3390/agronomy11101897
    Abstract/Description
    Yam (Dioscorea spp.) is a monocotyledonous herbaceous vine plant grown in the tropics and subtropics. It is a multi-species plant with varied intra- and interspecific ploidy levels. Of the 600 species, 11 are cultivated supporting the livelihood of over 300 million people. The paucity of information on ploidy and the genomic constitution is a significant challenge to the crop’s genetic improvement through crossbreeding. The objective of this study was to investigate the ploidy levels of 236 accessions across six cultivated and two wild species using chromosome counting, flow cytometry and genotyping-based ploidy determination methods. Results obtained from chromosome counting and genotyping-based ploidy determination were in agreement. In majority of the accessions, chromosome counting and flow cytometry were congruent, allowing future rapid screening of ploidy levels using flow cytometry. Among cultivated accessions, 168 (71%) were diploid, 50 (21%) were triploid, and 12 (5%) were tetraploid. Two wild species included in the study were diploids. Resolution of ploidy level in yams offers opportunities for implementing successful breeding programmes through intra- and interspecific hybridization.
    CGIAR Author ORCID iDs
    Asrat Asfawhttps://orcid.org/0000-0002-4859-0631
    Michael Abbertonhttps://orcid.org/0000-0003-2555-9591
    Badara GUEYEhttps://orcid.org/0000-0003-3157-8772
    Robert Asieduhttps://orcid.org/0000-0001-8943-2376
    David De Koeyerhttps://orcid.org/0000-0001-8064-6538
    Ranjana Bhattacharjeehttps://orcid.org/0000-0002-5184-5930
    CGIAR Impact Areas
    Nutrition, health and food security
    Other CGIAR Affiliations
    Genebanks; Roots, Tubers and Bananas
    Contributes to SDGs
    SDG 2 - Zero hunger
    AGROVOC Keywords
    yams; flow cytometry; chromosomes; ploidy; west africa
    Subjects
    AGRONOMY; FOOD SECURITY; PLANT BREEDING; PLANT PRODUCTION; VALUE CHAINS; YAM
    Countries
    Benin; Congo; Côte d'Ivoire; Gabon; Ghana; Guinea; Nigeria; Sierra Leone
    Regions
    Africa; Western Africa; Middle Africa
    Organizations Affiliated to the Authors
    International Institute of Tropical Agriculture; University of Ibadan; Institute of Experimental Botany of the Czech Academy of Sciences; Agriculture and Agri-Food Canada
    Investors/sponsors
    Bill & Melinda Gates Foundation
    Collections
    • IITA Journal Articles [4999]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback