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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 8, Issue 1 (2019)

Developing regression model to forecast the rice yield at Raipur condition

Author(s):

A Jain, JL Chaudhary, MK Beck and Love Kumar

Abstract:
The present investigation entitled “Developing regression model to forecast the rice yield at Raipur condition.” was carried out during kharif seasons of 2015-16 at Research and Instructional Farm of Indira Gandhi Krishi Vishwavidyalaya, Raipur to examine to validate the results of crop weather relationship of different rice varieties grown under different growing environments. The treatment combinations of three sowing dates (01 June, 15 June, and 30 June) and three varieties Swarna(National check), Mahamaya, MTU-1010 were laid out in a Factorial randomized block design with three replications with one treatment of underdose in Swarna variety 100:60:40. The linear correlation analysis with SPSS-model has been found at tillering stages negative relationship significant at 5% level for maximum and minimum temperature. In 50% flowering stages maximum temperature significant at 1% level and rainfall were significant correlated at 5% level. and dough stages are strongly negative correlated (1% level) to rainfall.

Pages: 72-76  |  1914 Views  697 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
A Jain, JL Chaudhary, MK Beck and Love Kumar. Developing regression model to forecast the rice yield at Raipur condition. J Pharmacogn Phytochem 2019;8(1):72-76.

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