Rekha, R. and Prasanthi, L. and Reddi Sekhar, M. and Shanti Priya, M. (2013) Principal Component and Cluster Analyses in Pigeonpea [Cajanus Cajan (L.) Millsp]. International Journal of Applied Biology and Pharmaceutical Technology, 4 (4). pp. 424-430.
![[img]](http://eprints.icrisat.ac.in/style/images/fileicons/application_pdf.png) |
PDF
- Published Version
Restricted to ICRISAT researchers only |
Abstract
Forty nine genotypes of pigeonpea representing the broad spectrum of variation were assessed for twelve characters using principal component analysis and cluster analysis. These genotypes were grouped into 8 clusters by using cluster analysis. Principal component analysis identified five principal components with eigen values more than one which contributed 80.10 per cent of the cumulative variance. The genotypes LRG-41 and SM-97, MRG-1001, WRG 51-Y, RST-16 and ICP 7035 were selected from the above analysis appeared to be desirable for inclusion in crossing programme aimed for improvement of pigeonpea.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Genetic divergence, Cluster analysis, Principal component analysis. |
| Author Affiliation: | Department of Genetics and Plant Breeding, S.V. Agricultural College, Tirupati-517502, Andhra Pradesh, India. |
| Subjects: | Plant Production Statistics and Experimentation Crop Improvement |
| Divisions: | Pigeonpea |
| Depositing User: | Ms Ishrath Durafsha |
| Date Deposited: | 26 Nov 2013 09:09 |
| Last Modified: | 26 Nov 2013 09:09 |
| Official URL: | http://www.ijabpt.com/pdf/81068-R.%20Rekha.pdf |
| URI: | http://eprints.icrisat.ac.in/id/eprint/12168 |
Actions (login required)
 |
View Item |
