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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 8, Issue 1 (2019)

Study correlation coefficients and Path Analysis for Yield and its Component characters in Rice (Oryza sativa L.)

Author(s):

Dheeraj Katiyar, Dr. KK Srivastava, Satya Prakash, Maneesh Kumar and Mohit Gupta

Abstract:
Twenty seven diverse germplasm accessions of Rice were evaluated for seed yield and its components for eighteen characters under irrigated condition during Kharif 2017 at Research farm, NDUA&T, Kumarganj, Faizabad. Tillers per plant exhibited highly significant and positive phenotypic correlation with panicle bearing tillers per plant, seedling length exhibited highly significant and positive phenotypic correlation with seedling vigour index, root length shows highly significant and positive phenotypic correlation with seedling vigour index, root length shows highly significant and positive phenotypic correlation with seedling length and harvest index shows highly significant and positive phenotypic correlation with economic yield components suggested that selection would be highly effective and efficient in improving these traits due to possibility of correlation response. Path coefficient analysis identified highest positive direct effect on economic yield was exerted by harvest index followed by biological yield, root length, the highest negative direct effect on economic yield was exerted by seedling length followed by seed germination, substantial positive indirect effects was exerted by seedling length via seedling vigour index, seedling vigour index via harvest index, the negative indirect effects was exerted by seedling length via seedling vigour index and shoot length via seedling length as important components having high order of indirect effect on economic yield. The characters identified above as important direct and indirect yield components merit due to consideration in formulating effective selection strategy for developing high yielding rice varieties.

Pages: 1783-1787  |  1005 Views  380 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
Dheeraj Katiyar, Dr. KK Srivastava, Satya Prakash, Maneesh Kumar and Mohit Gupta. Study correlation coefficients and Path Analysis for Yield and its Component characters in Rice (Oryza sativa L.). J Pharmacogn Phytochem 2019;8(1):1783-1787.

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