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Vol. 12, Issue 12 (2023)

Research of correlation and path coefficient analysis for grain yield and it’s attributes in pearl millet (Pennisetum glaucum (L.) r. br.)

Author(s):
Parth A Goswami, Prakash R Patel, Hiren S Patel and Hardiksinh R Chavda
Abstract:
Total twenty six genotypes of pearl millet (Pennisetum glaucum (L.) R. Br.) were evaluated for fifteen quantitative characters with a view to study the correlation coefficient and path coefficient analysis using randomized block design (R.B.D.) with three replications at Agronomy Instructional Farm, Chimanbhai Patel College of Agriculture, Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar during kharif 2021-22. The results of correlation coefficients revealed that grain yield per plant (g) exhibited positive and significant correlation with its yield contributing characters like number of effective tiller per plant, panicle length (cm), panicle girth (mm), panicle weight (g), panicle harvest index (%), 1000 grain weight and harvest index (%) at genotypic as well as phenotypic levels which signifies these are the major yield attributing traits and improvement in these traits will leads to the improvement in grain yield. The results of path coefficient analysis depicted that panicle weight contributed the highest positive and direct effect on grain yield per plant (g) followed by panicle harvest index (%), harvest index (%), dry fodder yield per plant (g), plant height (cm), iron content (%), zinc content (%) and days to flowering indicated their appreciable contribution in improving the grain yield of pearl millet.
Pages: 2151-2154  |  176 Views  106 Downloads


The Pharma Innovation Journal
How to cite this article:
Parth A Goswami, Prakash R Patel, Hiren S Patel, Hardiksinh R Chavda. Research of correlation and path coefficient analysis for grain yield and it’s attributes in pearl millet (Pennisetum glaucum (L.) r. br.). Pharma Innovation 2023;12(12):2151-2154.

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