Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/572
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dc.contributor.authorGowri, R.
dc.contributor.authorJagathpriya, W.
dc.contributor.authorKumudu, F.
dc.contributor.authorLiyanage, A.
dc.date.accessioned2014-07-21T10:17:11Z
dc.date.accessioned2022-07-11T08:25:13Z-
dc.date.available2014-07-21T10:17:11Z
dc.date.available2022-07-11T08:25:13Z-
dc.date.issued2011-07-11
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/572-
dc.description.abstractSri Lanka has a valuable repository of germplasm collection due to the availability of a large number of different traditional and improved rice varieties. Molecular techniques can increase the effectiveness of traditional technologies in assessing genetic diversity. Amplified fragment length polymorphism (AFLP) was used to evaluate the genetic diversity among rice varieties available in the germplasm collection of Plant Genetic Resources Centre, Sri Lanka. AFLP analysis of rice varieties using ten different primer combinations yielded a total of 772 polymorphic bands (98.4%). Genetic similarities were estimated using Jaccard's (J) similarity coefficient. Unweighted pair group method with arithmetic mean (UPGMA)-based dendrogram was constructed. Genetic similarities varied from 0.073 to 0.565. Cluster analysis by genetic similarity divided the accessions into four main groups. The Cophenetic correlation with r = 0.781 indicated high confidence of AFLP data to group the varieties in UPGMA clusters. Principal component analysis further confirmed the patterns obtained by the cluster analysis. The results revealed very high genetic diversity at molecular level among the Sri Lankan rice varieties used in this study.en_US
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.subjectAFLPen_US
dc.subjectDendrogramen_US
dc.subjectGenetic diversityen_US
dc.subjectRiceen_US
dc.titlePlant Genetic Resourcesen_US
dc.typeArticleen_US
Appears in Collections:Chemistry

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