Association and Path Analysis of Yield and Component Traits of Rice under Dry Direct Seeded Condition

Author: Swathy V., C. Gireesh, R. Lokesha, G.Y. Lokesh, J.R. Diwan, T.C. Suma, S.T. Yenjerappa and M.S. Anantha

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Abstract

In light of climate change posing a threat to food crop production Direct seeded rice (DSR), an alternative to transplanted system of rice cultivation, is promoted when problem of low productivity is addressed. Association and Path analysis allows identification of key traits contributing to yield enhancement. This study was taken up during Kharif 2022 to unravel the significant associations among yield attributing traits under DSR conditions and thereby identify the promising component traits whose selection would improve yield in DSR. A total of 184 backcross inbred lines along with five checks and two parents were utilised for evaluation. Yield attributing traits such as Days to 50% flowering, Number of leaves at harvest, Number of tillers at harvest, Number of productive tillers, Plant height, Panicle length, Number of spikelets per panicle, Number of filled grains per panicle, Spikelet fertility %, Test weight and Single plant yield were recorded at harvest stage. The traits such as plant height, number of filled grains per panicle and test weight was found to have prominent influence on yield from the results of correlation and path analysis. However, a substantial residual effect observed in the path analysis suggested existence of additional factors contributing to yield variation in DSR that were not considered in this study

Keywords

Correlation, path analysis, Direct seeded rice, yield, yield attributing traits

Conclusion

Thus, combining the results of correlation and path analysis, the study concluded that in direct seeded condition, component traits such as plant height, number of filled grains per panicle and test weight had profound role in determining yield. Selecting these traits directly may help in improving yield under DSR. Indirect selection for number of leaves at harvest, number of tillers at harvest and panicle length may also prove to be effective in improving yield. Nevertheless, it may be noted that the path analysis had high residual effect (0.777) meaning that some other characters that have not been studied here needs inclusion to account fully for explaining variation in single plant yield

References

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How to cite this article

Swathy V., C. Gireesh, R. Lokesha, G.Y. Lokesh, J.R. Diwan, T.C. Suma, S.T. Yenjerappa and M.S. Anantha (2024). Association and Path Analysis of Yield and Component Traits of Rice under Dry Direct Seeded Condition. Biological Forum – An International Journal, 16(4): 90-95