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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2017 , Volume 5, Issue 4
Page No. : 2008-2013
Article doi: : http://dx.doi.org/10.18782/2320-7051.5762
Principal Component Analysis in Inbreds of Maize (Zea mays L.)
S. Sandeep1*, M. Bharathi1 and V. Narsimha Reddy2
1 Department of Genetics and Plant Breeding, PJTSAU, Rajendranagar, Hyderabad (500 030) India
2 Maize Research Centre, A.R.I, PJTSAU, Rajendranagar, Hyderabad (500 030) India
*Corresponding Author E-mail: siluverusandeep088@gmail.com
Received: 12.07.2017 | Revised: 25.07.2017 | Accepted: 26.07.2017
ABSTRACT
The present study was carried out at college farm, College of Agriculture, PJTSAU, Rajendranagar, Hyderabad during kharif, 2013 with sixty inbreds lines of maize. Principal component analysis revealed that the three vectors accounted for 82.41 per cent of the total variability produced by all the characters under study. The first canonical vector (PC I) accounted for 58.36 percent of the total variability followed by second vector (PC II) accounted for 16.11 percent of total variability and vector III (PC III) which accounted for 7.94 percent total variance. The sixty genotypes were grouped into eight clusters. Cluster I and III were largest comprising of 12 genotypes each followed by cluster IV (11 genotypes), cluster VI (8 genotypes), cluster II (5 genotypes), cluster V (3 genotypes), and cluster VIII (1 genotype). The characters plant height and grain yield per plant and days to 50% tasseling are major contributors to the total divergence.
Key words: Maize, Clusters, Principal component analysis.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782/2320-7051.5762
Cite this article:
Sandeep, S., Bharathi, M. and Reddy, V.N., Principal Component Analysis in Inbreds of Maize (Zea mays L.), Int. J. Pure App. Biosci. 5(4): 2008-2013 (2017). doi: http://dx.doi.org/10.18782/2320-7051.5762
