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Assessment of genetic divergence by factor analysis in groundnut (Arachis hypogaea L.)

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dc.contributor.advisor Saraswathi, P
dc.contributor.author Muralidharan, K
dc.date.accessioned 2020-06-15T07:15:06Z
dc.date.available 2020-06-15T07:15:06Z
dc.date.issued 1986
dc.identifier.citation T-419 en_US
dc.identifier.sici T-419 en_US
dc.identifier.uri http://hdl.handle.net/123456789/7866
dc.description.abstract Factor analysis, Principal component analysis, discriminent analysis, and cluster analysis were carried out with a multivariate data on 30 characters of 62 bunch type groundnut varieties grown in upland during khariff 1982 and rice fallows during summer 1982. Vegetative, reproductive and growth factors were identified as the causative factors of genetic divergence in both the environments. A height factor was also found to work with rice fallows. The characters which were most amenable to change due to selection in these factors were identified. They were not found to agree with the results obtained from discriminant analysis. When factor loadings were estimated from principal components, clustering of characters were found identical to those obtained from factor analysis. en_US
dc.language.iso en en_US
dc.publisher Department of Statistics, College of Veterinary & Animal Sciences, Mannuthy en_US
dc.subject Genotypic variance-covariances en_US
dc.subject Principal component analysis en_US
dc.subject Factor analysis en_US
dc.subject Discriminant analysis en_US
dc.subject Computational algorithms en_US
dc.title Assessment of genetic divergence by factor analysis in groundnut (Arachis hypogaea L.) en_US
dc.type Thesis en_US


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