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Vol. 11, Issue 7 (2022)

Correlation and path coefficient analysis in seed and seedling characters for yield in popular rice varieties (Oryza sativa L.)

Author(s):
Mohammad Salman, SC Vimal, Tarkeshwar, Govind Mishra, Deepak Jangid and Mukut Bihari Meena
Abstract:
Twenty five rice varieties were evaluated for seed yield and its components for seventeen characters under irrigated condition during Kharif 2020 and 2021 at Crop Research Station, Masodha, ANDUAT, Ayodhya. Seed yield per plant showed highly significant and positive correlation with no. of tillers per plant, harvest index and panicle bearing tillers per plant. Seedling dry weight indicated highly significant and positive correlation with seedling length and germination percentage. Seedling length noted highly significant and positive correlation with germination percentage, Germination percentage highly significant and positive correlation with speed of germination, Harvest index highly significant and positive correlation with numbers of tillers per plant and Plant height exhibited significant and positive association with days of maturity 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 seed yield per plant was exerted by vigour indx-I, harvest index, biological yield, number of panicle bearing tillers per plant, number of grains per panicle, seedling dry weigh, days of 50% flowering and plant height were indicated height negative direct contribution to seed yield per plant. 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: 534-541  |  249 Views  81 Downloads


The Pharma Innovation Journal
How to cite this article:
Mohammad Salman, SC Vimal, Tarkeshwar, Govind Mishra, Deepak Jangid, Mukut Bihari Meena. Correlation and path coefficient analysis in seed and seedling characters for yield in popular rice varieties (Oryza sativa L.). Pharma Innovation 2022;11(7):534-541.

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