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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(3): 1206-1215
DOI: https://doi.org/10.20546/ijcmas.2018.703.142


Profit Maximization of Yield from Different Sizes of OFR
Mithlesh Kumar1*, Sanjeeb Paul1, Sudhindra N. Panda1 and B. Panigrahi2
1Agricultural and Food Engineering Department, Indian Institute of Technology,
Kharagpur-721 302, West Bengal, India
2Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Orissa University of Agriculture and Technology, Bhubaneswar-751003, Odisha, India
*Corresponding author
Abstract:

A Dynamic Programing (DP) model is developed to allocate optimum supplemental irrigation to crop for receives maximum net annual return from the cropped area under land and water availability constraints in the OFR based rainfed agricultural system. The model integrates the dynamics associated with the water released by supplemental irrigation from the OFR to the actual water utilized by the crops at farm level. It also takes into account the non-linear relationship of root growth, soil moisture dynamics for multiple crops and yield response to water deficit at various growth stages of the crops. The DP model is simulated for 5% to 12% field area and economic benefits from the crops takes into accounted for optimum size of OFR. For 10% soil water depletion for rice (from saturation) and mustard (from field capacity) crops, the optimum size of OFR varied from 5.35% to 9.85%. Similarly, for 15% soil water depletion it varied from 5.05% to 9.35%.Relative yield for10% soil water depletion for rice (from saturation) and mustard (from field capacity) crops varied from 0.65 to 0.88 and 0.85 to 0.94. Similarly, for 15% soil water depletion it varied from 0.70 to 0.90 for rice and 0.88 to 0.96 for mustard crop. If only rice crop is grown, the optimum size of OFR for 10% soil water depletion varied from 0.00% to 6.90%, whereas for 15% soil water depletion it varied from 0.00% to 6.70%. Similarly, relative yield for 10% and 15% soil water depletion varied from 0.70 to 0.90 and 0.74 to 0.93, respectively. In low water availability condition, the model performance is very good because it allocate supplemental irrigation at the time when crop has high yield response factor.


Keywords: Dynamic programing, Supplemental irrigation, On-farm reservoir, Soil moisture dynamics, Yield response
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How to cite this article:

Mithlesh Kumar, Sanjeeb Paul, Sudhindra N. Panda and Panigrahi, B. 2018. Profit Maximization of Yield from Different Sizes of OFR.Int.J.Curr.Microbiol.App.Sci. 7(3): 1206-1215. doi: https://doi.org/10.20546/ijcmas.2018.703.142