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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:3, March, 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(3): 283-291
DOI: https://doi.org/10.20546/ijcmas.2018.703.033


Character Association and Path Analysis for Yield Components in Traditional Rice (Oryza sativa L.) Genotypes
Chandan Kishore1*, Anil Kumar1, Awadhesh K. Pal2, Vinod Kumar3, B.D. Prasad3 and Anand Kumar1
1Department of Plant Breeding and Genetics
2Department of Biochemistry and Crop Physiology
3Department of Agricultural Biotechnology and Molecular Biology, Bihar Agricultural University, Sabour, Bhagalpur-813210, India
*Corresponding author
Abstract:

The experiment was conducted in randomized block design replicated thrice, for the evaluation of thirteen quantitative traits in twenty rice genotypes. Significant difference for all the quantitative traits was observed among the genotypes indicating presence of variability and scope of selection. Higher estimates of phenotypic coefficient of variation (PCV) than genotypic coefficient of variation (GCV) for all the traits reflected influence of environmental factor on these traits with variable influence. The characters fertile spikelet per panicles, Test weight, yield per plant, harvest index, Biological yield per plant and flag leaf width showed greater influence of environment reflecting scope of improvement of these traits by providing favourable environment whereas least influenced traits cannot be improved even in favourable condition but may be good for selection. The traits plant height, effective tillers per plant, flag leaf length, test weight and biological yield per plant showed high estimates of heritability and genetic advance implies additive genetic component and can be used for selection in early segregating generations. Considering both correlation and path study the traits Panicle length, biological yield per plant, harvest index and test weight showed true association with grain yield per plant having significant and positive correlation with high positive direct effect. Hence for implication of direct selection these traits should be considered.


Keywords: PCV, GCV, Heritability, Genetic advance, Correlation, Path analysis, Rice

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How to cite this article:

Chandan Kishore, Anil Kumar, Awadhesh K. Pal, Vinod Kumar, B.D. Prasad and Anand Kumar. 2018. Character Association and Path Analysis for Yield Components in Traditional Rice (Oryza sativa L.) Genotypes.Int.J.Curr.Microbiol.App.Sci. 7(3): 283-291. doi: https://doi.org/10.20546/ijcmas.2018.703.033
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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