Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/3511
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dc.contributor.authorNdung’u, John N.-
dc.contributor.authorWachira, Francis N.-
dc.contributor.authorKinyua, Miriam G.-
dc.contributor.authorLelgut, David K.-
dc.contributor.authorNjau, Peter-
dc.contributor.authorOkwaro, Henry-
dc.contributor.authorObiero, Hannington-
dc.date.accessioned2017-08-22T08:34:40Z-
dc.date.available2017-08-22T08:34:40Z-
dc.date.issued2014-02-19-
dc.identifier.citationAfrican Journal of Biotechnology, Vol. 13(8), pp. 926-935, 19 February, 2014en_US
dc.identifier.issn1684-5315-
dc.identifier.urihttps://www.ajol.info/index.php/ajb/article/download/109343/99127-
dc.identifier.urihttp://repository.seku.ac.ke/handle/123456789/3511-
dc.descriptionhttp://dx.doi.org/10.5897/AJB12.2426en_US
dc.description.abstractCassava (Manihot esculenta Cranzt) is an important food security crop for resource poor rural communities particularly in Africa. Little is however known about molecular diversity of Kenyan cassava germplasm. This led to a study whose objective was to identify genetic constitution of cassava accessions from different regions of Kenya using molecular tools. Seven pairs of micro satellite (SSR) primers previously developed from cassava were used to detect polymorphic 21 alleles in a sample of 69 accessions. The cluster analysis of similarity matrix obtained at 68% with SSR data showed that the 69 accessions were grouped into five marker based groups. This study proved that SSRs could be used to identify cassava accessions as well as in the assessment of level of genetic relatedness among accessions.en_US
dc.language.isoenen_US
dc.publisherAcademic Journalsen_US
dc.subjectCassavaen_US
dc.subjectsimple sequence repeat (SSR) markersen_US
dc.subjectgenetic diversityen_US
dc.titleGenetic diversity study of Kenyan cassava germplasm using simple sequence repeatsen_US
dc.typeArticleen_US
Appears in Collections:School of Science and Computing (JA)

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