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Nitrogen Carry-Over Impacts In Irrigated Cotton Production, Southern High Plains Of Texas

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  • Segarra, Eduardo
  • Ethridge, Don E.
  • Deussen, Curtis R.
  • Onken, Arthur B.

Abstract

A dynamic optimization model which introduces an intertemporal nitrate-nitrogen residual function is used to derive and evaluate nitrogen fertilizer optimal decision rules for irrigated cotton production in the Southern High Plains of Texas. Results indicate that optimal nitrogen applications critically depend on initial nitrate-nitrogen levels and nitrogen-to-cotton price ratios. Also, the results indicate that single-year optimization leads to suboptimal nitrogen applications, which helps explain long-term cotton yield declines in the Southern High Plains of Texas; but single-year optimization does not significantly impact the net present value of returns of irrigated cotton operations.

Suggested Citation

  • Segarra, Eduardo & Ethridge, Don E. & Deussen, Curtis R. & Onken, Arthur B., 1989. "Nitrogen Carry-Over Impacts In Irrigated Cotton Production, Southern High Plains Of Texas," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(02), December.
  • Handle: RePEc:ags:wjagec:32359
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    File URL: http://purl.umn.edu/32359
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    References listed on IDEAS

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    1. Kennedy, John O.S., 1981. "An Alternative Method for Deriving Optimal Fertilizer Rates: Comment and Extension," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 49(03), December.
    2. Kennedy, John O.S., 1986. "Rules For Optimal Fertilizer Carryover: An Alternative Explanation," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 54(02), August.
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    Cited by:

    1. Harmon, Xavier & Boyer, Christopher N. & Lambert, Dayton M. & Larson, James A., 2017. "Temporal Frequency Of Soil Test Information Effects On Returns To Potassium Fertilization In Cotton Production," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 49(02), pages 251-272, May.
    2. Catherine L. Kling & Raymond W. Arritt & Gray Calhoun & David A. Keiser & et al., 2016. "Research Needs and Challenges in the FEW System: Coupling Economic Models with Agronomic, Hydrologic, and Bioenergy Models for Sustainable Food, Energy, and Water Systems," Center for Agricultural and Rural Development (CARD) Publications 16-wp563, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    3. Farquharson, Robert J. & Cacho, Oscar J. & Turpin, J.E., 2000. "Agricultural response analysis in a longer term framework," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123634, Australian Agricultural and Resource Economics Society.
    4. Harper, David C. & Lambert, Dayton M. & Larson, James A. & Gwathmey, C. Owen, 2012. "Potassium carryover dynamics and optimal application policies in cotton production," Agricultural Systems, Elsevier, vol. 106(1), pages 84-93.
    5. Schwabe, Kurt A. & Knapp, Keith C., 2005. "Nitrogen as a Capital Input and Stock Pollutant: A Dynamic Analysis of Corn Production and Nitrogen Leaching under Non-Uniform Irrigation," 2005 Annual meeting, July 24-27, Providence, RI 19466, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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    Crop Production/Industries;

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