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

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