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Subsurface Drip Irrigation Versus Center-Pivot Sprinkler for Applying Swine Effluent to Corn

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  • Carreira, Rita I.
  • Stoecker, Arthur L.
  • Epplin, Francis M.
  • Hattey, Jeffory A.
  • Kizer, Michael A.

Abstract

A risk-averse irrigated corn producer would be better off choosing the more expensive subsurface drip irrigation (SDI) over center-pivot sprinkler (CPS), given limited aquifer life and swine effluent and urea fertilization. A stochastic optimization using EPIC data maximized expected utility of 100 years' worth of net revenues for a quarter section. Phosphorus accumulation was more likely with the CPS than with the SDI but soil nitrogen was constant under both systems. SDI conserves more water than CPS per acre but depletes the aquifer faster because a greater area is irrigated. These results were invariant in the sensitivity analysis.

Suggested Citation

  • Carreira, Rita I. & Stoecker, Arthur L. & Epplin, Francis M. & Hattey, Jeffory A. & Kizer, Michael A., 2006. "Subsurface Drip Irrigation Versus Center-Pivot Sprinkler for Applying Swine Effluent to Corn," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(3), pages 1-14, December.
    • Handle: RePEc:ags:joaaec:43783
    DOI: 10.22004/ag.econ.43783
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    References listed on IDEAS

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    1. Moffitt, L. Joe, 2002. "Characterizing Uncertain Outcomes with the Restricted HT Transformation," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 34(3), pages 417-429, December.
    2. Salim, Juma K. & Dillon, Carl R. & Saghaian, Sayed H. & Kanakasabai, Murali, 2005. "Comparison of Decision Rules for Subsurface Drip Irrigation Practices Using a Nonlinear Mathematical Programming Model," 2005 Annual Meeting, February 5-9, 2005, Little Rock, Arkansas 35517, Southern Agricultural Economics Association.
    3. Taylor, C. Robert, 1984. "A Flexible Method For Empirically Estimating Probability Functions," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(01), pages 1-11, July.
    4. Ribaudo, Marc & Kaplan, Jonathan D. & Christensen, Lee A. & Gollehon, Noel R. & Johansson, Robert C. & Breneman, Vincent E. & Aillery, Marcel P. & Agapoff, Jean & Peters, Mark, 2003. "Manure Management For Water Quality Costs To Animal Feeding Operations Of Applying Manure Nutrients To Land," Agricultural Economic Reports 33911, United States Department of Agriculture, Economic Research Service.
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    Cited by:

    1. Park, Seong C. & Brorsen, B. Wade & Stoecker, Arthur L. & Hattey, Jeffory A., 2012. "Forage Response to Swine Effluent: A Cox Nonnested Test of Alternative Functional Forms Using a Fast Double Bootstrap," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(4), pages 593-606, November.

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    More about this item

    Keywords

    Crop Production/Industries;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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