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dc.contributor.authorJayalakshmy, K.V.
dc.contributor.authorNair, M.
dc.contributor.authorDileepKumar, R.
dc.contributor.authorVijayan, M.
dc.date.accessioned2013-10-31T13:35:36Z
dc.date.available2013-10-31T13:35:36Z
dc.date.issued2013
dc.identifier.citationJournal of Experimental Biology and Agricultural Sciences, vol.1(4); 2013; 285-296
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/4392
dc.description.abstractThe growth indices of the Mussels, Perna viridis and Perna indica collected from the south west coast of India were examined using statistical methods. The Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA) separated 2 morphometric gradient groups (spat and adult), indicating the different phenotypic plasticity between them. The factor scores classified P. indica as a unimodal, positively skewed leptokurtic population and P. viridis as a unimodal, negatively skewed leptokurtic population. The allometry was not static, but simple and ontogenetic since their population was continuously varying. The present study shows that factor analysis is better than principal component analysis for delineating the morphometric characteristics of living organisms
dc.language.isoen
dc.publisherHorizon Publisher
dc.rightsCopyright [2013]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
dc.subjectMorphometry
dc.subjectBiometrics
dc.subjectgrowth
dc.subjectMussels
dc.titleBiometric and morphometric studies of Perna viridis and Perna indica along the southwest coast of India: a statistical approach
dc.typeJournal Article


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