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Vol. 7, Issue 8 (2018)

Risk proof crop planning based on rainfall probability in Jagatsinghpur district of Odisha

Author(s):
A Baliarsingh, G Panigrahi, B Kamar, P Pattanaik, AKB Mohapatra, BS Rath and A Nanda
Abstract:
The rainfall data of Jagatsinghpur district of Odisha for 20 years (1995-2014) were collected from Special Relief Commissioner (SRC), Government of Odisha, Bhubaneswar and were analyzed by Weather Cock software to estimate annual, seasonal, monthly and weekly rainfall probability with an objective to find out the risk proof crops based on rainfall probability analysis for the rainfed agriculture. The data revealed that the average annual rainfall during last 20 years of Jagatsinghpur district was 1495.3mm. During monsoon (Jun–September) the district received about 1077.9 mm rainfall which contributes about 74.6 to its annual rainfall. During the post monsoon (October-November) winter (December-February) and summer (March-May) the district received about 223.5 mm (15.4%), 12.7 mm (0.8%) and 120.7 mm (8.0%) rainfall. Highest rainfall of 367.4 mm was received in the month of August. Rainfall probability analysis is one of the most important tool to predict the rainfall of an area. At 75% probability, the predication of annual, monsoon, winter & summer rainfall of Jagatsinghpur is 1210.7 mm, 850.1 mm, 78.3 mm, 68. 9 mm, respectively. The Risk proof crop which can be best suitable for Kharif season are rice in the district in medium and low land and non-paddy crops like arhar, groundnut, green gram, black gram soybean can be taken. During winter season pulses like black gram, green gram and oil seeds like sesames can be grown. Taking the predicted rainfall of around more than 60 mm during summer fiber crop like jute can be grown in Jagatsinghpur.
Pages: 182-186  |  929 Views  86 Downloads


The Pharma Innovation Journal
How to cite this article:
A Baliarsingh, G Panigrahi, B Kamar, P Pattanaik, AKB Mohapatra, BS Rath, A Nanda. Risk proof crop planning based on rainfall probability in Jagatsinghpur district of Odisha. Pharma Innovation 2018;7(8):182-186.

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