Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1448
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dc.contributor.authorBandara, M.M.K.
dc.contributor.authorHerath, H.M.V.G.
dc.contributor.authorWickramasinghe, H.A.M
dc.contributor.authorBamunuarachchige, T.C.
dc.date.accessioned2021-02-15T09:04:21Z
dc.date.accessioned2022-07-11T05:33:19Z-
dc.date.available2021-02-15T09:04:21Z
dc.date.available2022-07-11T05:33:19Z-
dc.date.issued2017
dc.identifier.issn2012 − 8673
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1448-
dc.description.abstract: Rice is the major food for more than half of the world population. Sri Lankan traditional rice varieties have a high genetic diversity and hence, a huge potential for important characters. A morphological study is the initial step towards genetic characterization. This study was aimed to evaluate the variability of selected Sri Lankan traditional rice varieties with respect to morphological characters. Seeds of 24 varieties and IR64 were selected for this study. A pot experiment with Complete Randomized Design (CRD) was used and five replicates were prepared. Fifteen characters were measured using standards published by IRRI. Principal component analysis (PCA) and single linkage cluster analysis were performed. Selected rice varieties were grouped into 5 clusters at 15 minimum distance level. Cluster I comprises twenty one varieties and other four clusters comprise single variety each. Varieties including Goda heenati, Thawalu, Al wee, Goda el wee, Pachchaperumal, Godamanel, Goda wee, Kottiyaran, Kara el, Batapola el, Pokkali, Hetada wee, Moddai karuppan, Vannam villai, Kalu heenaty, Sudu heenaty, Pola el, Kalu bala wee, Kahatawalu, Dahanala and Niyan wee were clustered in one cluster showing high homology. IR64, Gonabaru, Rathl and Ma wee were clustered in different clusters indicating their significant difference from cluster I. First five principle components (PCs) were significant and they accounted for 79 % of total variation. Selected varieties have a significant difference according to clustering pattern. Significant descriptors of PC1 to PC5 can be used to differentiate selected varieties.en_US
dc.language.isoenen_US
dc.publisherUniversity of Jaffnaen_US
dc.subjectMorphological charactersen_US
dc.subjectMultivariate analysisen_US
dc.subjectTraditional riceen_US
dc.titleAssessment of Morphological Characters of Selected Traditional Sri Lankan Rice Varieties (Oryza sativa L.)en_US
dc.typeArticleen_US
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