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An Intraseasonal Dynamic Optimization Model to Allocate Irrigation Water between Crops

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  • Kelly J. Bryant
  • James W. Mjelde
  • Ronald D. Lacewell

Abstract

A dynamic programming model that allocates irrigations among competing crops, while allowing for stochastic weather patterns and temporary or permanent abandonment of one crop in dry periods, is presented. Fifteen intraseasonal irrigations are allocated between corn and sorghum fields on the southern Texas High Plains. Broad rules of thumb implied by the results suggest irrigating the driest field in any stage unless soil water is close to field capacity on both fields or below wilting point on corn. A crop simulation model is used to reduce the complicated decision rules into simpler strategies with similar net returns.

Suggested Citation

  • Kelly J. Bryant & James W. Mjelde & Ronald D. Lacewell, 1993. "An Intraseasonal Dynamic Optimization Model to Allocate Irrigation Water between Crops," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 1021-1029.
    • Handle: RePEc:oup:ajagec:v:75:y:1993:i:4:p:1021-1029.
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    File URL: http://hdl.handle.net/10.2307/1243989
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    Citations

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    Cited by:

    1. Peck, Dannele E. & Adams, Richard M., 2010. "Farm-level impacts of prolonged drought: is a multiyear event more than the sum of its parts?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(1), pages 1-18.
    2. Wu, Shiang-Jen & Yang, Han-Yuan & Chang, Che-Hao & Hsu, Chih-Tsung, 2023. "Modeling GA-derived optimization analysis for canal-based irrigation water allocation under variations in runoff-related and irrigation-related factors," Agricultural Water Management, Elsevier, vol. 290(C).
    3. Iglesias, Eva & Garrido, Alberto & Gomez-Ramos, Almudena, 2003. "Evaluation of drought management in irrigated areas," Agricultural Economics, Blackwell, vol. 29(2), pages 211-229, October.
    4. Lavee, Doron, 2010. "The effect of water supply uncertainty on farmers' choice of crop portfolio," Agricultural Water Management, Elsevier, vol. 97(11), pages 1847-1854, November.
    5. Dannele E. Peck & Richard M. Adams, 2010. "Farm-level impacts of prolonged drought: is a multiyear event more than the sum of its parts?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(1), pages 43-60, January.
    6. Ko, Jonghan & Piccinni, Giovanni & Steglich, Evelyn, 2009. "Using EPIC model to manage irrigated cotton and maize," Agricultural Water Management, Elsevier, vol. 96(9), pages 1323-1331, September.
    7. Robert, Marion & Bergez, Jacques-Eric & Thomas, Alban, 2018. "A stochastic dynamic programming approach to analyze adaptation to climate change – Application to groundwater irrigation in India," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1033-1045.
    8. Sperow, Mark, 2004. "An Analysis Of The Economic Impact Of Water Transfers From Agricultural To Urban Uses," 2004 Annual meeting, August 1-4, Denver, CO 20327, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Christine Heumesser & Sabine Fuss & Jana Szolgayová & Franziska Strauss & Erwin Schmid, 2012. "Investment in Irrigation Systems under Precipitation Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3113-3137, September.

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