Combined analysis of categorical and numerical descriptors of australian groundnut accessions using nonlinear principal component analysis

Kroonenberg, P.M. and Harch, B.D. and Basford, K.E. and Cruickshank, A. (1997) Combined analysis of categorical and numerical descriptors of australian groundnut accessions using nonlinear principal component analysis. Journal of Agricultural, Biological, and Environmental Statistics, 2 (3). pp. 294-312.

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Abstract

For users of germplasm collections, the purpose of measuring characterization and evaluation descriptors, and subsequently using statistical methodology to summarize the data, is not only to interpret the relationships between the descriptors, but also to characterize the differences and similarities between accessions in relation to their phenotypic variability for each of the measured descriptors. The set of descriptors for the accessions of most germplasm collections consists of both numerical and categorical descriptors. This poses problems for a combined analysis of all descriptors because few statistical techniques deal with mixtures of measurement types. In this article, nonlinear principal component analysis was used to analyse the descriptors of the accessions in the Australian groundnut (Arachis hypogaea) collection. It was demonstrated that the non-linear variant of ordinary principal component analysis is an appropriate analytical tool because subspecies and botanical varieties could be identified on the basis of the analysis and characterized in terms of all descriptors. Moreover, outlying accessions could be easily spotted and their characteristics established. The statistical results and their interpretations provide users with a more efficient way to identify accessions of potential relevance for their plant improvement programmes.

Item Type: Article
Additional Information: SNNigam Collection
Uncontrolled Keywords: Genetic diversity, Mixture of data types, Ordinal data, Oleic-linoleic ratio, Ordination, Arachis hypogaea
Author Affiliation: Department of Education, Leiden University, Netherlands.
Subjects: Statistics and Experimentation
Crop Improvement
Divisions: Groundnut
Depositing User: Mr Arbind Seth
Date Deposited: 06 May 2013 03:54
Last Modified: 06 May 2013 03:54
Official URL: http://www.jstor.org/stable/1400447
URI: http://eprints.icrisat.ac.in/id/eprint/10411

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