Phenotypic Diversity Studies on Selected Kenyan and Tanzanian Rice (Oryza sativa L) Genotypes Based on Grain and Kernel Traits

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dc.contributor.authorMawia, Musyoki A.
dc.contributor.authorWambua, Kioko F.
dc.contributor.authorAgyirifo, Daniel
dc.contributor.authorNyamai, Wavinya D.
dc.contributor.authorMatheri, Felix
dc.contributor.authorLangat, Chemtai R.
dc.contributor.authorNjagi, Mwenda S.
dc.contributor.authorArika, Arika W.
dc.contributor.authorGaichu, Muthee D.
dc.contributor.authorNgari, Ngithi L.
dc.contributor.authorNgugi, Piero M.
dc.contributor.authorKarau, Muriira G.
dc.date.accessioned2015-11-10T11:36:08Z
dc.date.available2015-11-10T11:36:08Z
dc.date.issued2015
dc.descriptionDOI:10.4172/2375-4338.1000150en_US
dc.description.abstractPhenotypic characterization of rice (Oryza sativa L.) provides useful information regarding preservation of diversity and selection of parental genotypes with superior traits in plant breeding program. The main objective of the present study was to characterize 13 selected rice genotypes from Kenya and Tanzania based on 7 grain and kernel traits. Minitab 15.0 software was used to analyze data. The 7 traits showed highly significant differences among the improved and local landraces. A dendrogram was constructed from data set of mean values of grain and kernel traits and showed two super clusters; I and II. Principal component analysis revealed that all the seven quantitative traits significantly influenced the variation in these genotypes.en_US
dc.identifier.citationJ Rice Res Volume 3 Issue 4; 2015en_US
dc.identifier.issn2375-4338
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/13852
dc.language.isoenen_US
dc.publisherOMICS Internationalen_US
dc.subjectOryza sativa Len_US
dc.subjectDendrogramen_US
dc.subjectPrincipal component analysisen_US
dc.titlePhenotypic Diversity Studies on Selected Kenyan and Tanzanian Rice (Oryza sativa L) Genotypes Based on Grain and Kernel Traitsen_US
dc.typeArticleen_US
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