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dc.contributor.authorOndabu, N.en_US
dc.contributor.authorMaina, S.en_US
dc.contributor.authorKimani, W.en_US
dc.contributor.authorNjarui, Donald M.G.en_US
dc.contributor.authorDjikeng, Appolinaireen_US
dc.contributor.authorGhimire, Sita R.en_US
dc.date.accessioned2017-02-23T09:25:14Zen_US
dc.date.available2017-02-23T09:25:14Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/79998en_US
dc.titleMolecular characterizations of Kenyan Brachiaria grass ecotypes with Microsatellite (SSR) markersen_US
cg.authorship.typesCGIAR and developing country instituteen_US
dcterms.abstractBrachiaria 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.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.available2017-02-09en_US
dcterms.bibliographicCitationOndabu, 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.en_US
dcterms.issued2017-03-01en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherMDPI AGen_US
dcterms.subjectanimal feedingen_US
dcterms.subjectforageen_US
dcterms.subjectlivestocken_US
dcterms.typeJournal Articleen_US
cg.subject.ilriANIMAL FEEDINGen_US
cg.subject.ilriCROP-LIVESTOCKen_US
cg.subject.ilriFORAGESen_US
cg.subject.ilriLIVESTOCKen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.affiliationKenya Agricultural and Livestock Research Organizationen_US
cg.identifier.doihttps://doi.org/10.3390/agronomy7010008en_US
cg.isijournalISI Journalen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.countryKenyaen_US
cg.coverage.iso3166-alpha2KEen_US
cg.creator.identifierSita Ghimire: 0000-0001-8930-1384en_US
cg.creator.identifierAppolinaire Djikeng: 0000-0001-9271-3419en_US
cg.contributor.donorDepartment of Foreign Affairs and Trade, Australiaen_US
cg.contributor.donorSyngenta Foundation for Sustainable Agricultureen_US
cg.contributor.donorBill & Melinda Gates Foundationen_US
cg.contributor.donorDepartment for International Development, United Kingdomen_US
cg.contributor.donorSwedish International Development Cooperation Agencyen_US
cg.reviewStatusPeer Reviewen_US
cg.howPublishedFormally Publisheden_US
cg.journalAgronomyen_US
cg.issn2073-4395en_US
cg.volume7en_US
cg.issue1en_US


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