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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
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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

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.2020.9(9): 2682-2689
DOI: https://doi.org/10.20546/ijcmas.2020.909.334


Path Coefficient Analysis in First Clonal Stage of Sugarcane (Saccharum officinarum L.)
G. Somu1*, M.S.P. Kanavi3, C. Shashikumar2, Shivaray Navi2 and N. Meena1
1AICRP on Sorghum, KVK, Chamarajanagar, India
2AICRP on Cotton, KVK, Chamarajanagar, India
3Dept. of Genetics and Plant Breeding, CoA, Hassan
University of Agricultural Sciences, Bengaluru, India
*Corresponding author
Abstract:

Statistical correlation coefficient is a measure that denotes the magnitude and direction of interrelationship between any two casually related variables. The information on the genotypic and phenotypic inter-relationship of cane yield and sugar yield with their component characters interest would be of immense help to the sugarcane breeder. The character association will also help in the selection of superior genotypes from divergent population based on more than one interrelated characters. However, correlation coefficients, sometimes, may be misleading and thus, need to be partitioned into direct and indirect effects. It is important for a breeder to know how other characters influence a particular character before selecting the parental material for crossing purposes. Path coefficient analysis provides direct and indirect effects of component characters thereby enhancing the better understanding of true relationship of the component characters with yield.


Keywords: Genotypic, Phenotypic, Correlation coefficient, Path coefficient analysis
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How to cite this article:

Somu, G., M.S.P. Kanavi, C. Shashikumar, Shivaray Navi and Meena, N. 2020. Path Coefficient Analysis in First Clonal Stage of Sugarcane (Saccharum officinarum L.).Int.J.Curr.Microbiol.App.Sci. 9(9): 2682-2689. doi: https://doi.org/10.20546/ijcmas.2020.909.334