Correlation and Regression Studies of Rice Varieties Influenced by Combination of Plant Density and Fertilizer Levels

Abstract

A field experiment was conducted on a sandy clay loam soil at the college farm of Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Rajendranagar, Hyderabad, Telangana during the kharif seasons of 2014 and 2015, to study the correlation and regression analysis of rice varieties as influenced by combination of plant densities and fertilizers under late sown condition. Grain yield was found to be significantly and positively correlated with number of tillers m-2 (r = 0.93***), leaf area index (r = 0.83***), dry matter production (r = 0.99***), panicle number (r = 0.95***). Similarly regression of grain yield on the number of tillers m-2 (R2 = 0.873**), LAI (R2 = 0.703**), total dry matter production (R2 = 0.997**), number of panicles m-2 (R2 = 0.908**), nitrogen uptake (R2 = 0.990**), phosphorus uptake (R2 = 0.950**) and potassium uptake (R2 = 0.998**) showed a significant and positively associated between them. The dependence of the dry matter was found to be significantly and positively correlated with number of tillers m-2 (r =0. 94***), leaf area index (r = 0.83***) N uptake (r = 0.99***), P uptake (r = 0.97***) and K uptake (r = 0.99***) showed significant positive correlation with dry matter of rice. Regression equation obtained in the study revealed LAI, tillers m-2, N, P, K uptake and dry matter of rice at maturity accounted for 68%, 88%, 98%, 94% and 99% of total variation in dry matter production of rice.

Authors and Affiliations

O. Sampath, A. Srinivas, K. Avil Kumar, T. Ramprakash

Keywords

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  • EP ID EP251973
  • DOI -
  • Views 84
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How To Cite

O. Sampath, A. Srinivas, K. Avil Kumar, T. Ramprakash (2017). Correlation and Regression Studies of Rice Varieties Influenced by Combination of Plant Density and Fertilizer Levels. International Journal of Agricultural Science and Research (IJASR), 7(3), 223-240. https://europub.co.uk/articles/-A-251973