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Original Research Articles                      Volume : 9, Issue:7, July, 2020

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(7): 2023-2029
DOI: https://doi.org/10.20546/ijcmas.2020.907.233


Correlation and Path Analysis of Physiological and Genetic Traits in Stay Green Rice (Oryza sativa L.) Genotypes
Suman Kumari Nayak1*, R.K. Panda1 and S.R. Das2
1Department of Plant Physiology at O.U.A.T, Orissa, India
2Department of plant breeding and genetics at O.U.A.T, Orissa, India
*Corresponding author
Abstract:

Stay green trait is reckoned as a favourable and desirable trait which can beacon the path to achieve enhanced yield potential in crops including rice. In this study, the correlation and path analysis for several physiological and genetic traits were carried out using six elite rice genotypes namely Maudamani, Swarna, Pratikshya, Lalat, Mrunalini and a Columbian functional stay green cultivar Fedearroz-50. The physiological efficiency and the genetic aspects of the test cultivars were studied by examining the different yield attributing traits, physiological parameters and biochemical traits in order to sort out the most promising genotype for their possible use in future breeding programs. The correlation study showed positive association of plot yield with grain number, harvest index, net assimilation rate, chlorophyll content and grain yield per plant but is negatively correlated with leaf area index. Path coefficient analysis revealed the maximum direct effect of nitrogen content on grain yield. Based on the conclusions drawn from the different statistical analysis it was divulged that higher panicle length, panicle number, grain number along with improved fertility, higher chlorophyll and carbohydrate content may have contributed towards the enhancement of yield in the promising genotypes.


Keywords: Stay green trait, Correlation coefficient, Path coefficient analysis

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How to cite this article:

Suman Kumari Nayak, R.K. Panda and Das, S.R. 2020. Correlation and Path Analysis of Physiological and Genetic Traits in Stay Green Rice (Oryza sativa L.) Genotypes.Int.J.Curr.Microbiol.App.Sci. 9(7): 2023-2029. doi: https://doi.org/10.20546/ijcmas.2020.907.233
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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