Assessment of Morphological Characters of Selected Traditional
Sri Lankan Rice Varieties (Oryza sativa L.)
Bandara, M.M.K.1*, Herath, H.M.V.G.2, Wickramasinghe, H.A.M.2 and Bamunuarachchige, T.C.3
1Postgraduate Institute of Agriculture, University of Peradeniya, Sri Lanka
2Department of Agricultural Biology, Faculty of Agriculture, University of Peradeniya, Sri Lanka
3Department of Biological Sciences, Faculty of Applied Sciences, Rajarata University of Sri Lanka, Mihintale, Sri Lanka.
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.
Keywords: Morphological characters, Multivariate analysis, Traditional rice
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