Analysis of Correlation and Path coefficients for Yield and its Attributes in CMS Lines and Their F1’s of Rice (Oryza sativa L.)

Author: Ashwani Kumar Singh, Alok Kumar Singh, Tarkeshwar, Anjali Goldy and Shiv Prasad Maurya

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Abstract

Rice is the most important crop in India. Currently, it provides 43% of cereal output and 46% of food grain production. India has the greatest area among the countries that grow rice, with 49 million hectares, followed by China. The yield gap in rice needs to be closed to feed the world's rapidly expanding population. The use of high-yielding cultivars can make this possible. The complicated trait of seed yield is influenced by several constituent factors. The correlation and path coefficient analyses show how different traits interact with one another. To improve yield, a relevant breeding approach can be used. The present investigation was conducted at Pilikothi Farm of Tilak Dhari Degree College Jaunpur (U.P.) to analyze the amount of association of yield and its attributes and direct and indirect effects of characters on grain yield in CMS lines and their hybrids of rice (Oryza sativa L.) and their hybrids in randomized block design during Kharif 2020. For each replication of the twelve characters, the observations were made on five competing plants of a given genotype that were chosen at random from a plot. Twelve quantitative traits, including seedling height (cm), days to 50% flowering, flag leaf area (cm2), plant height (cm), panicle bearing tillers per plant, panicle length (cm), spikelets per panicle, spikelet fertility (%), test weight (g), biological yield per plant (g), grain yield per plant (g), and harvest-index (%), were observed. The character grain yield per plant exhibited significant positive association with seedling height (cm) (0.200), flag leaf area (cm2) (0.641), panicle bearing tillers per plant (0.550), panicle length (cm) (0.447), spikelets per panicle (0.653), spikelet fertility (%) (0.158), test weight (g) (0.290), biological yield per plant (g) (0.866) and harvest-index (%) (0.196). The path analysis showed that biological yield per plant (1.0172), followed by harvest index, had the biggest positive direct effect on grain yield per plant (0.3489). Except for the harvest index (-0.1411), which had a bad indirect effect on grain output, most of the variables under study had a positive impact on biological yield per plant. The traits highly correlated with grain yield and also have direct and indirect positive effects on yield can be selected for improvement in yield potential of these CMS rice genotypes.

Keywords

Rice, Oryza sativa, CMS, correlation coefficient, path coefficient, grain yield

Conclusion

Characters from the current study, such as biological yield per plant, harvest index, and number of tillers per plant, showed a positive relationship between grain yield. Additionally, these traits have shown a direct and favourable impact on grain yield, in addition, proven to have a favourable indirect impact on grain production through the other. These CMS rice genotypes can have their yield potential increased by choosing features that are highly associated with grain yield and have both direct and indirect beneficial effects on yield.

References

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How to cite this article

Ashwani Kumar Singh, Alok Kumar Singh, Tarkeshwar, Anjali Goldy and Shiv Prasad Maurya (2022). Analysis of Correlation and Path coefficients for Yield and its Attributes in CMS Lines and Their F1’s of Rice (Oryza sativa L.). Biological Forum – An International Journal, 14(3): 19-23.