Potassium carryover dynamics and optimal application policies in cotton production |
| |
Authors: | David C. Harper James A. Larson C. Owen Gwathmey |
| |
Affiliation: | a Bureau of Ocean Energy Management, 381 Elden Street, Herndon, VA 20170, USA b Department of Agricultural and Resource Economics, The University of Tennessee, 321C Morgan Hall, 2621 Morgan Circle, Knoxville, TN 37996-4518, USA c Department of Agricultural and Resource Economics, The University of Tennessee, 308G Morgan Hall, 2621 Morgan Circle, Knoxville, TN 37996-4518, USA d Department of Plant Sciences, The University of Tennessee, 605 Airways Blvd., Jackson, TN 38301, USA |
| |
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 |
本文献已被 ScienceDirect 等数据库收录! |
|