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.

    Determination of ploidy among yam (Dioscorea spp.) landraces in Kenya by flow cytometry

    Thumbnail
    View/Open
    U14ArtMuthamiaDeterminationNothomDev.pdf (396.7Kb)
    Authors
    Muthamia, Z.K.
    Nyende, A.B.
    Mamati, E.G.
    Ferguson, M.
    Wasilwa, J.
    Date Issued
    2014
    Date Online
    2014-01
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Open Access
    Metadata
    Show full item record
    Share
    
    Citation
    Muthamia, Z.K., Nyende, A.B., Mamati, E.G., Ferguson, M. & Wasilwa, J. (2014). Determination of ploidy among Yam (Dioscorea spp.) landraces in Kenya by flow cytometry. African Journal of Biotechnology, 13(3), 394-402.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/75889
    DOI: https://doi.org/10.5897/AJB2013.12496
    Abstract/Description
    Yam (Dioscorea spp.), a traditional crop in Kenya has not undergone improvement and little has been done to understand its genetic background. The taxonomy and phylogeny of the local landraces has not been fully studied. The main cultivated species is Dioscorea minutiflora Engl. Others found with low distribution are Dioscorea alata L., Dioscorea bulbifera L. and Dioscorea odoratissima Pax. Flow cytometry was used to estimate the ploidy level of 155 accessions of Kenyan yam including two checks, TDr.18544 a tetraploid and TDc.98136 an octoploid from International Institute of Tropical Agriculture (IITA), Nigeria. Also included in the study were Dioscorea dumetorum Pax, Dioscorea asteriscus Burkill and Dioscorea schimperiana Kunth which are yam wild relatives. Leaf samples were harvested from the field genebank and nuclei extracted using an extraction buffer (Partec GmbH, Munster Germany). Plant nuclei were isolated and stained with propidium iodide then analyzed in a flow cytometer. Seven ploidy levels of 3x (11.4%), 4x(37.5%), 5x(29.2%), 6x(14.6), 7x(3.1%); 8x(3.1%) and 10x(0.6%) were observed. Tetraploids (4x) formed the highest proportion followed by pentaploids (5x). The highest ploidy, decaploid, (10x), was found in D. odoratissima Pax, a conspecific form of Dioscorea preahensilis found under cultivation in two farms in Western Kenya. No diploids were observed in the study. Ploidy level was not associated with geographical habitat of the landraces while farmer-named varieties were not associated with ploidy levels. The findings generated new knowledge and form a basis for future yam research and improvement in the country. Further work is required to establish the phylogeny of Kenyan yam landraces
    Other CGIAR Affiliations
    Roots, Tubers and Bananas
    AGROVOC Keywords
    ploidy; yams; dioscorea; flow cytometry
    Subjects
    YAM
    Countries
    Kenya
    Regions
    Sub-Saharan Africa; Eastern Africa
    Organizations Affiliated to the Authors
    Kenya Agricultural Research Institute; Jomo Kenyatta University of Agriculture and Technology; International Institute of Tropical Agriculture; International Livestock Research Institute
    Collections
    • IITA Journal Articles [4999]
    • RTB Journal Articles [1344]

    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