'' '' '' '' Principal Component Analysis in Genetic Resources of Chinese Millet (<em>Setaria italica</em> (L.) Beauv.)
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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 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here
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Original Research Articles                      Volume : 7, Issue:10, October, 2018

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(10): 3387-3393
DOI: https://doi.org/10.20546/ijcmas.2018.710.392


Principal Component Analysis in Genetic Resources of Chinese Millet (Setaria italica (L.) Beauv.)
Amarnath1*, A.V.S. Durga Prasad1 and C.V. Chandra Mohan Reddy2
1Department of Genetics & Plant Breeding, Agricultural College, Mahanandi - 518 502,
A.P., India
2(Small millets), Regional Agricultural Research Station, Nandyal - 518 501, A.P., India
*Corresponding author
Abstract:

Field experiment was conducted in 50 Chinese millet genetic resources to assess the genetic divergence for 12 metric traits through Principal Component Analysis. The ANOVA revealed existence of highly significant variation for all the traits examined. About 69.15 per cent of total variation accrued through Principal component analysis exhibited four Principal components (PC1-29.65%, PC2-16.94%, PC3-12.27% and PC4-10.27%) retained based on the Scree plot and threshold Eigen value greater than one (>1). The PC1 with prime economical traits viz., days to 50% flowering, days to maturity, culm branches, thousand grain weight, number of productive tillers / plant and flag leaf blade length accounted for maximum variance (29.65%) connoting that these traits be given priority in future Chinese millet breeding programmes.


Keywords: Genetic divergence, Chinese millet genetic resources, Metric traits, Principal component analysis
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How to cite this article:

Amarnath, K., A.V.S. Durga Prasad and Chandra Mohan Reddy, C.V. 2018. Principal Component Analysis in Genetic Resources of Chinese Millet (Setaria italica (L.) Beauv.).Int.J.Curr.Microbiol.App.Sci. 7(10): 3387-3393. doi: https://doi.org/10.20546/ijcmas.2018.710.392
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.
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