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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(6): 3221-3229
DOI: https://doi.org/10.20546/ijcmas.2018.706.379


Principal Component and Cluster Analysis in Inbred Lines of Maize (Zea mays L.)
K. Mounika1*, M. Lal Ahamed2 and Sk. Nafeez Umar3
1Department of Genetics and Plant Breeding, Agricultural College, Bapatla, Acharya N G Ranga Agricultural University, Guntur, Andhra Pradesh, India
2Department of Molecular Biology and Biotechnology, APGC, Lam, Guntur, A.P. India
3Department of Statistics and Computer Applications, Agricultural College, Bapatla, Acharya N G Ranga Agricultural University, Guntur, Andhra Pradesh, India
*Corresponding author
Abstract:

In the present investigation a total of forty seven maize inbred lines were studied to assess the genetic diversity for 10 quantitative traits viz., days to 50% tasseling, days to 50% silking, days to maturity, plant height (cm), ear length (cm), ear height (cm), 100-seed weight (g), kernel rows per ear, number of kernels per row and grain yield per plant (g) using principal component analysis and hierarchical cluster analysis. The PCA identified four principal components (PCs) with Eigen value greater than 1.00 and accounted for 80.35 per cent of total variation. Cluster analysis based on Ward’s minimum variance procedure distributed the inbreds into 7 clusters indicating their broad genetic base of which cluster II was the largest containing ten inbreds and maximum inter-cluster distance was recorded between clusters IV and VII (1177.88) suggesting their use in breeding programmes for the exploitation of heterosis for the desirable yield traits.


Keywords: Genetic divergence, Hierarchical cluster analysis, Maize, Principal Component Analysis
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How to cite this article:

Mounika K., M. Lal Ahamed and Nafeez Umar Sk. 2018. Principal Component and Cluster Analysis in Inbred Lines of Maize (Zea mays L.).Int.J.Curr.Microbiol.App.Sci. 7(6): 3221-3229. doi: https://doi.org/10.20546/ijcmas.2018.706.379