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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 7, Issue 5 (2018)

Rainfall based crop planning in rain shadow districts of Chhattisgarh state by using rainfall and crop data

Author(s):

Jubuli Sahu JL, Chaudhary and Krishna Murari

Abstract:
An attempt has been made to study the impact of variability and trend of rainfall on crop production and productivity of different crops at two rain shadow districts of Chhattisgarh state viz. Rajnandgaon and Kawardha by using long term rainfall (1963-2015) and crop (2000-2014) data. An average annual rainfall of 1104 mm and 984 mm has been observed in Rajnandgaon and Kawardha districts respectively and annual CV varies between 14 % and 18 %. It can be concluded from the analysis that the main rainy months in all the stations were during June to September with least variability. In other months, the rainfall was very less and corresponding CV was more than 100 % in all the stations. High rainfall variability indicates its effect which may lead to instability in the crop productivity. Rice and gram are the predominant crops and it shows an increasing trend of productivity in both the districts. Productivity trend for rice crop was increasing @ 54.5 kg/ha/yr and 46.6 kg/ha/yr and chickpea was increasing @ 25.6 kg/ha/yr and 30.6 kg/ha/yr in Rajnandgaon and Kawardha districts respectively. The area and production of soybean crop showed a statistically significant increasing trend but increasing productivity trend was not significant. The area, production and productivity trend of Pigeonpea crop was showing a non-significant value for both the districts. The trend analysis of sugarcane crop showed a significant increasing trend in Kawardha district.

Pages: 2916-2920  |  1112 Views  478 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
Jubuli Sahu JL, Chaudhary and Krishna Murari. Rainfall based crop planning in rain shadow districts of Chhattisgarh state by using rainfall and crop data. J Pharmacogn Phytochem 2018;7(5):2916-2920.

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