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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 3
First page : (340) Last page : (345)
Article doi: : http://dx.doi.org/10.18782/2320-7051.6608

Modeling Deep Percolation for Estimation of Water Use Efficiency of Vegetable Crops under Furrow Irrigation Practices

Satadalabasini Mishra*

Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, OUAT, Bhubaneswar, Odisha-751003
*Corresponding Author E-mail: satadalabasini@gmail.com
Received: 13.05.2018 | Revised: 19.06.2018 | Accepted: 26.06.2018  

 

 ABSTRACT

Agriculture is the linchpin of Indian economy. Irrigated agriculture is a vital development tool for achieving the Millennium Development Goal. In agriculture evapotranspiration, seepage and deep percolation are the outflow parameters. Deep percolation (DP) among the outflow parameters plays a dominant role in lowering the water use efficiency of the crops in irrigated agriculture. Irrigation with the concept of management allowable depletion (MAD) level is considered as a better water management practice. However, this practice is rarely followed at field level due to ignorance of the end users. To estimate the deep percolation loss precisely, this study was carried out in the Instructional Farm of Orissa University of Agriculture and Technology, Bhubaneswar, Odisha during summer (Feb. 2017 to May 2017) at different MAD levels under furrow irrigation. From the experimental study, it was observed that sum total deep percolation at higher MAD level is less than that of lower MAD level. Mathematical model was developed for different MAD levels under furrow irrigation.

Key words: Water Use Efficiency, Management Allowable Depletion, Furrow irrigation, Deep percolation

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Mishra, S., Modeling Deep Percolation for Estimation of Water Use Efficiency of Vegetable Crops under Furrow Irrigation Practices, Int. J. Pure App. Biosci. 6(3): 340-345 (2018). doi: http://dx.doi.org/10.18782/2320-7051.6608