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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:1, January, 2021

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.2021.10(1): 752-764
DOI: https://doi.org/10.20546/ijcmas.2021.1001.093


Genetic Variability and Correlation Studies for Yield and Yield Related Traits in Rice (Oryza sativa L.) Genotypes
Kritika Williams*, Aman Mishra, Akansha Verma, BG. Suresh and G. R. Lavanya
Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture technology & Sciences, Prayagraj, Uttar Pradesh, India
*Corresponding author
Abstract:

The present study consist of 29 rice genotypes including one check variety that were evaluated at Field Experimentation Centre of the Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj U.P. to study genetic variability, heritability, genetic advance, correlation and path coefficient for 13 quantitative characters. The experiment was conducted by using Randomized Block Design with three replications during Kharif -2019. Observation recorded to study the genetic variability parameters, correlation coefficient and path coefficient for yield and its attributing traits. Significant variability reported for all the characters. On the basis of mean performance IRRI-156 was found to be superior in grain yield per hill followed by TP- 30441 and NDR-1045. High to moderate GCV and PCV were recorded for grain yield per hill followed by number of spikelets per panicle, biological yield, test weight and flag leaf length. Grain yield indicated significant positive correlation with days to 50% flowering, panicle length, number of spikelets per panicle at phenotypic level whereas at genotypic level it showed positive and significant correlation with number of panicle and plant height. Path coefficient analysis showed positive significant direct effects on grain yield per hill were exhibited by plant height and number of panicles at genotypic level whereas it showed positive and significant direct effect for panicle length and number of spikelets per panicle at phenotypic level. Thus, these traits are identified as the efficient and potential for indirect selection for the improvement of rice productivity in the present experimental materials.


Keywords: Rice (Oryza sativa L.), GCV, PCV, Variability, Heritability, Correlation and Path analysis

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How to cite this article:

Kritika Williams, Aman Mishra, Akansha Verma, BG. Suresh and Lavanya, G. R. 2021. Genetic Variability and Correlation Studies for Yield and Yield Related Traits in Rice (Oryza sativa L.) Genotypes.Int.J.Curr.Microbiol.App.Sci. 10(1): 752-764. doi: https://doi.org/10.20546/ijcmas.2021.1001.093
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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