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Potassium carryover dynamics and optimal application policies in cotton production

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  • Harper, David C.
  • Lambert, Dayton M.
  • Larson, James A.
  • Gwathmey, C. Owen
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    Abstract

    Information about soil nutrient carryover dynamics can assist cotton producers with the optimal management of potassium (K) fertilizer. Optimal K management promotes cotton plant health, may decrease input costs, and increases cotton lint yields. A dynamic programming model was developed to determine optimal K application rates and economic returns under different soil information scenarios based on cotton yield response to K fertilizer and fertilizer carryover estimates from a multi-year field trial. A Monte Carlo analysis was conducted to simulate the impact of stochastic input and lint prices and cotton yield on K management over a five-period planning horizon. Results suggest that soil test data could provide important information about K carryover potential, which may lead to more efficient fertilizer use and higher profit margins for cotton producers.

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    Bibliographic Info

    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 106 (2012)
    Issue (Month): 1 ()
    Pages: 84-93

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    Handle: RePEc:eee:agisys:v:106:y:2012:i:1:p:84-93

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    Web page: http://www.elsevier.com/locate/agsy

    Related research

    Keywords: Cotton yield response; Potassium carryover; Soil test information; Dynamic programming; Simulation;

    References

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    Cited by:
    1. Lambert, Dayton M. & English, Burton C. & Harper, David C. & Larkin, Sherry L. & Larson, James A. & Mooney, Daniel F. & Roberts, Roland K. & Velandia, Margarita & Reeves, Jeanne M., 2014. "Adoption and Frequency of Precision Soil Testing in Cotton Production," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), April.

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