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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 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
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 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(7): 1287-1295
DOI: https://doi.org/10.20546/ijcmas.2019.807.153


Genotypic and Phenotypic Correlation and Path Analysis of Yield and Yield Contributing Traits in Rice (Oryza sativa L.) under Salinity Condition
Preeti Kumari1*, M.P. Chauhan1, Archana Devi1, O.P. Verma1, R. Dwivedi1, D.K. Dwivedi2 and Raj Shekhar Dwivedi3
1College of Agriculture, Department of Genetics and Plant Breeding, India
2Department of Plant Molecular Biology and Genetic Engineering, Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya - 224229 U. P. India
3Department of Genetics and Plant Breeding, C.S. Azad University of Agriculture and Technology, Kanpur - 208003 U. P. India
*Corresponding author
Abstract:

The experimental materials consisted of 49 rice genotypes. The experiment was conducted under saline-alkali soil (pH = 8.9; EC = 2.21dSm-1; ESP = 45%) in randomized complete block design with three replications. In each block 49 entries were accommodated. The spacing between rows to row and plant to plant were 20 cm and 15 cm, respectively. Length of row was 5m and 3 rows of each entry were planted in a plot. The nursery was planted after the period of 30 days. The yield and yield contributing traits were utilized for estimation of correlation coefficients. In general, genotypic correlation coefficients were higher than the corresponding phenotypic correlation coefficients suggesting that strong genetic correlation among the yield and yield contributing components of rice. Correlation coefficient analysis showed that grain yield per plant exhibited significant positive correlation with biological yield per plant at both genotypic and phenotypic levels. Path coefficient analysis revealed that highest positive direct effect on grain yield per plant was exerted by biological yield per plant and harvest-index.


Keywords: Genetic variance, Correlation coefficient, Path coefficient, Genotype, Rice
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How to cite this article:

Preeti Kumari, M.P. Chauhan, Archana Devi, O.P. Verma, R. Dwivedi, D.K. Dwivedi and Raj Shekhar Dwivedi. 2019. Genotypic and Phenotypic Correlation and Path Analysis of Yield and Yield Contributing Traits in Rice (Oryza sativa L.) under Salinity Condition.Int.J.Curr.Microbiol.App.Sci. 8(7): 1287-1295. doi: https://doi.org/10.20546/ijcmas.2019.807.153