Path and Correlation Analysis of Elite Rice (Oryza sativa L.) Genotypes under Diverse Situations

Author: O. Reshma, K.M. Shivaprasad, P. Surendra and Bhaskar Reddy S.

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Abstract

Rice is the second most consumed cereal crop and staple food in the world. Demand of rice is steadily increasing due to unhindered population expansion. So, increase in the yield of varieties is more important. Yield is a complex polygenic character largely influenced by its various component characters as well as by the environment. Hence, it becomes essential to estimate association of the yield with component characters and among themselves. The present study was undertaken to evaluate twenty-three genotypes for correlation and path coefficient analysis for yield and yield component traits. The studies on correlation values indicated the intensity and direction of character association in a crop. Path co-efficient analysis is used to detect characters having direct and indirect effects on grain yield. Correlation studies indicated that number of panicles hill-1, number of panicles sqm-1, days to 50% flowering had the strongest and high significant positive phenotypic correlation with grain yield. Kernel length, number of panicles hill-1, days to 50% flowering had a positive and very high direct effect on grain yield at phenotypic level, in which kernel length had highest positive direct effect on grain yield. Hence, the traits showing positive correlation and high direct effect on yield are useful in improving the yield of rice.

Keywords

Path co-efficient analysis, correlation, association analysis

Conclusion

From the results showed that grain yield plant-1 had positive significant correlation with days to 50 % flowering, number of panicles hill-1, number of panicles sqm-1 and high positive direct effect on grain yield plant-1 was showed by kernel length, number of panicles hill-1and days to 50 % flowering. So, these traits are useful in improving the yield of rice. The high residual effect indicated that the measure of the effect of other possible independent variables, which were not included in the study were high. Hence present study suggesting the necessity of inclusion of some more traits to explain residual variability present in the genotypes which were not included now.

References

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How to cite this article

O. Reshma, K.M. Shivaprasad, P. Surendra and Bhaskar Reddy S. (2023). Path and Correlation Analysis of Elite Rice (Oryza sativa L.) Genotypes under Diverse Situations. Biological Forum – An International Journal, 15(5): 1443-1448.