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

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Author Info

  • 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.

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Bibliographic Info

Article provided by Western Agricultural Economics Association in its journal Western Journal of Agricultural Economics.

Volume (Year): 14 (1989)
Issue (Month): 02 (December)
Pages:

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Handle: RePEc:ags:wjagec:32359

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Web page: http://waeaonline.org/
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Related research

Keywords: Crop Production/Industries;

References

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  1. 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.
  2. 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.
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Cited by:
  1. 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).
  2. 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.
  3. 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.

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