 Potassium carryover dynamics and optimal application policies in cotton productionDavid C. Harper, Dayton Lambert, James Larson () and C. Owen Gwathmey Agricultural Systems, 2012, vol. 106, issue 1, 84-93 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. Keywords: Cotton yield response; Potassium carryover; Soil test information; Dynamic programming; Simulation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:106:y:2012:i:1:p:84-93 DOI: 10.1016/j.agsy.2011.10.014 Access Statistics for this article Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen More articles in Agricultural Systems from Elsevier |
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