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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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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): 522-527
DOI: https://doi.org/10.20546/ijcmas.2018.706.059


Genetic Divergence Studies in Pearl Millet Germplasm Based on Principal Component Analysis
Om Vir Singh*, R. Gowthami, Kartar Singh and Neelam Shekhawat
ICAR-National Bureau of Plant Genetic Resources Regional Station, Jodhpur-342003, India
*Corresponding author
Abstract:

A total of 40 germplasm representing central arid zone were evaluated for five consecutive years during Kharif season at research field of ICAR-NBPGR, regional station, Jodhpur. PCA analysis revealed that the first six components in the PCA analysis were with Eigen values more than one and contributed to a maximum of 78.29 per cent of the variability among 40 genotypes evaluated for thirteen different morphological traits). Days to flowering, days to maturity, reproductive period, number of productive tillers per plant, spike girth test, weight and single plant yield, were the characters contributing positively to the second principal component (PC 2) accounting for 15.13 per cent of the variability explained. The third component, accounts for 11.42 per cent of total variability is a measure of single plant yield and revealed that higher plant yields are obtained with a reduction in the number of days to fifty percent flowering and days to maturity and the fourth component, accounting for 10.43 per cent of total variability and characters like test weight, number of productive tillers per plant, spike girth and stover yield contributed in positive way. The fifth component accounting10.43 per cent of the total variability and the sixth component had high loadings for number of productive tillers per plant followed by spike length, spike girth, ear exertion distance, single plant yield and stover yield contributing 5.03 per cent of the total variability. In all the six components traits like number of productive tillers per plant, spike girth and single plant yield and in few cases traits like plant height, spike length and test weight contributed positively to the total variation. Hence these traits can be used for selection in crop breeding programmes in pearl millet.


Keywords: Pearl millet, Principal component analysis, Multivariate analysis
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How to cite this article:

Om Vir Singh, R. Gowthami, Kartar Singh and Neelam Shekhawat. 2018. Genetic Divergence Studies in Pearl Millet Germplasm Based on Principal Component Analysis.Int.J.Curr.Microbiol.App.Sci. 7(6): 522-527. doi: https://doi.org/10.20546/ijcmas.2018.706.059