Classification of new germplasm and advanced breeding lines of groundnut (Arachis Hypogaea L.) through principal component analysis

Sudhir, K I and Marappa, N and Govindaraj, M (2010) Classification of new germplasm and advanced breeding lines of groundnut (Arachis Hypogaea L.) through principal component analysis. Legume Research, 33 (4). pp. 242-248. ISSN 0250-5371

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Abstract

Sixty four accessions of groundnut (Arachis hypogaea L.) evaluated under late kharif season have been classified using Principal component analysis (PCA) based on correlation matrix yielding eigen values and eigen vectors. Fourteen principal components (PC) have been extracted using the mean performance of the genotypes, first ten principal components contributed over 95% of variation. Relative positive weights by each of the component to each single character has shown pod yield per plant and kernel yield per plant being given high positive weight by first principal component. Biplot of first two principal components showed characters viz., plant height, harvest index, pod yield, kernel yield per plant and oil yield per plant distinguishing among the accessions along the first principal component vector. Cluster analysis was performed based on first ten PC scores accounting more than 95% of variation which classified the sixty four accessions in to three clusters. Accessions in clusters 1 and 2 showed a wide range for several agronomic characters. This provides convenience in selecting superior accessions from each of these clusters for various yield contributing in the future breeding programs

Item Type:	Article
Divisions:	UNSPECIFIED
CRP:	UNSPECIFIED
Uncontrolled Keywords:	Advanced breeding lines, Principal component analysis, Clusters, Groundnut
Subjects:	Mandate crops > Groundnut
Depositing User:	Ms K Syamalamba
Date Deposited:	30 Nov 2012 06:18
Last Modified:	27 Feb 2014 04:52
URI:	http://oar.icrisat.org/id/eprint/6235
Official URL:	http://indianjournals.com/ijor.aspx?target=ijor:lr...
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	UNSPECIFIED
Links:	Google Scholar

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