Factor analysis in clusterbean (Cyamopsis tetragonoloba (L.) Taub)
- 31 August 1982
- journal article
- research article
- Published by Springer Nature in Theoretical and Applied Genetics
- Vol. 62 (3) , 273-276
- https://doi.org/10.1007/bf00276250
Abstract
The pattern of diversity in forty genotypes of clusterbean (Cyamopsis tetragonoloba (L.) Taub) was analysed using the centroid method of factor analysis based on nine characters. Three factors were found to adequately account for most of the intercorrelations in the four environments. Branches, clusters, pods and seed yield/plant could be grouped as productivity factors; days to flowering, maturity and plant height as growth factors; seeds/pod and gum content as economic factor. Interestingly, the constitution of the factors were the same in all the environments. The loadings on the economic factors were relatively unstable, whereas the loadings on productivity and growth factors were stable. It is concluded that productivity and growth factors play a pivotal role towards diversity in clusterbean. The results of factor analysis provides confirmatory evidence of diversity in clusterbean, which was earlier studied by using generalized distance, and thus proves the adequacy of the centroid method in biological investigations.Keywords
This publication has 5 references indexed in Scilit:
- FACTOR ANALYIS: AN INTRODUCTION TO ESSENTIALS. II. THE ROLE OF FACTOR ANALYSIS IN RESEARCH.1965
- A Biometrics Invited Paper. Factor Analysis: An Introduction to Essentials II. The Role of Factor Analysis in ResearchPublished by JSTOR ,1965
- A Biometrics Invited Paper. Factor Analysis: An Introduction to Essentials I. The Purpose and Underlying ModelsPublished by JSTOR ,1965
- Asymptotic Theory for Principal Component AnalysisThe Annals of Mathematical Statistics, 1963
- Recent Trends in Factor AnalysisJournal of the Royal Statistical Society. Series A (General), 1961