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Vol. 11, Issue 4 (2022)

Estimation of correlation coefficient and path analysis in hybrids of pearl millet [Pennisetum glaucum (L.) R.Br.]

Author(s):
Ravindra Kumar, PC Gupta, Sanjay Kumar Sanadya, Anil Kumar, Mukesh Kumar Yadav and Devendra Chandel
Abstract:
Correlations and path coefficient analysis were evaluated for twelve characters including seed yield in eighty seven F1s with three checks (RHB-177, MPMH-17 and HHB-67 Improved) of pearl millet along with during Kharif 2017-18. The experiment was carried out in Randomized Block Design (RBD) with two replications. The result from character association indicated that seed yield per plant had significantly and positive correlation with harvest index, no. of effective tillers per, biological yield per plant, test weight and negatively correlated with days to 50% flowering and days to maturity at phenotypic level. These characters need due consideration during any selection programmes. Path coefficient analysis revealed that characters viz., Harvest index, biological yield per plant, test weight and no. of effective tillers per plant had direct positive effective on seed yield per plant. The residual effects were low at phenotypic level which indicated choices of traits in the study were able to explain the most effects on seed yield. Therefore these traits can be taken into consideration while exercising selection for seed yield in pearl millet.
Pages: 880-882  |  369 Views  104 Downloads


The Pharma Innovation Journal
How to cite this article:
Ravindra Kumar, PC Gupta, Sanjay Kumar Sanadya, Anil Kumar, Mukesh Kumar Yadav, Devendra Chandel. Estimation of correlation coefficient and path analysis in hybrids of pearl millet [Pennisetum glaucum (L.) R.Br.]. Pharma Innovation 2022;11(4):880-882.

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