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Management Strategies To Mitigate Environmental Impact Of Weather Uncertainty In Effluent Application To Irrigated Corn In Semiarid Regions

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Listed:
  • Kizer, Michael A.
  • Stoecker, Arthur L.
  • Carreira, Rita I.
  • Hattey, Jeffory A.

Abstract

This study compares subsurface drip irrigation and sprinkler irrigation with respect to expected returns, aquifer life, nutrient utilization and accumulation in the production of irrigated corn using swine effluent and fresh groundwater from a depleting aquifer in the Oklahoma Panhandle. Most of the equations estimated econometrically had heteroskedasticity problems and MLE was used. The econometric estimation of a PDF of ammonia volatilization dependent on amount of nitrogen applied, for each irrigation system, was successful and is the basis for developing a stochastic chain for the soil nitrogen carryover equation. The results of the stochastic dynamic programming model are still being developed and will be presented at the conference.

Suggested Citation

  • Kizer, Michael A. & Stoecker, Arthur L. & Carreira, Rita I. & Hattey, Jeffory A., 2004. "Management Strategies To Mitigate Environmental Impact Of Weather Uncertainty In Effluent Application To Irrigated Corn In Semiarid Regions," 2004 Annual meeting, August 1-4, Denver, CO 20110, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea04:20110
    DOI: 10.22004/ag.econ.20110
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    References listed on IDEAS

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    1. A. L. Stoecker & A. Seidmann & G. S. Lloyd, 1985. "A Linear Dynamic Programming Approach to Irrigation System Management with Depleting Groundwater," Management Science, INFORMS, vol. 31(4), pages 422-434, April.
    2. Taylor, C. Robert, 1984. "A Flexible Method For Empirically Estimating Probability Functions," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(1), pages 1-11, July.
    3. Bostwick, Don, 1962. "Yield Probabilities as a Markov Process," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 14(2), pages 1-8, April.
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