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    Molecular characterizations of Kenyan Brachiaria grass ecotypes with Microsatellite (SSR) markers

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    Authors
    Ondabu, N.
    Maina, S.
    Kimani, W.
    Njarui, Donald M.G.
    Djikeng, Appolinaire
    Ghimire, Sita R.
    Date Issued
    2017-03
    Date Online
    2017-02
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
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    Citation
    Ondabu, N., Maina, S., Kimani, W., Njarui, D. and Djikeng, A. 2017. Molecular characterizations of Kenyan Brachiaria grass ecotypes with Microsatellite (SSR) markers. Agronomy 7(1):8.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/79998
    DOI: https://doi.org/10.3390/agronomy7010008
    Abstract/Description
    Brachiaria grass is an emerging forage option for livestock production in Kenya. Kenya lies within the center of diversity for Brachiaria species, thus a high genetic variation in natural populations of Brachiaria is expected. Overgrazing and clearing of natural vegetation for crop production and nonagricultural uses and climate change continue to threaten the natural biodiversity. In this study, we collected 79 Brachiaria ecotypes from different parts of Kenya and examined them for genetic variations and their relatedness with 8 commercial varieties. A total of 120 different alleles were detected by 22 markers in the 79 ecotypes. Markers were highly informative in differentiating ecotypes with average diversity and polymorphic information content of 0.623 and 0.583, respectively. Five subpopulations: International Livestock Research Institute (ILRI), Kitui, Kisii, Alupe, and Kiminini differed in sample size, number of alleles, number of private alleles, diversity index, and percentage polymorphic loci. The contribution of within-the-individual difference to total genetic variation of Kenyan ecotype population was 81%, and the fixation index (FST = 0.021) and number of migrant per generation (Nm = 11.58) showed low genetic differentiation among the populations. The genetic distance was highest between Alupe and Kisii populations (0.510) and the lowest between ILRI and Kiminini populations (0.307). The unweighted neighbor-joining (NJ) tree showed test ecotypes grouped into three major clusters: ILRI ecotypes were present in all clusters; Kisii and Alupe ecotypes and improved varieties grouped in clusters I and II; and ecotypes from Kitui and Kiminini grouped in cluster I. This study confirms higher genetic diversity in Kenyan ecotypes than eight commercial varieties (Basilisk, Humidicola, Llanero, Marandú, MG4, Mulato II, Piatá and Xaraés) that represent three species and one three-way cross-hybrid Mulato II. There is a need for further collection of local ecotypes and their morphological, agronomical, and genetic characterizations to support Brachiaria grass breeding and conservation programs.
    CGIAR Author ORCID iDs
    Sita Ghimirehttps://orcid.org/0000-0001-8930-1384
    Appolinaire Djikenghttps://orcid.org/0000-0001-9271-3419
    AGROVOC Keywords
    animal feeding; forage; livestock
    Subjects
    ANIMAL FEEDING; CROP-LIVESTOCK; FORAGES; LIVESTOCK;
    Countries
    Kenya
    Regions
    Africa; Eastern Africa
    Organizations Affiliated to the Authors
    International Livestock Research Institute; Kenya Agricultural and Livestock Research Organization
    Investors/sponsors
    Department of Foreign Affairs and Trade, Australia; Syngenta Foundation for Sustainable Agriculture; Bill & Melinda Gates Foundation; Department for International Development, United Kingdom; Swedish International Development Cooperation Agency
    Collections
    • ILRI articles in journals [6643]
    • ILRI BecA articles [277]

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