文章基本信息

标题：Comparing the Value of Soil Test Information Using Deterministic and Stochastic Yield Response Plateau Functions
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作者：Xavier Harmon ; Christopher N. Boyer ; Dayton M. Lambert 等
期刊名称：Journal of Agricultural and Resource Economics
印刷版ISSN：1068-5502
出版年度：2016
卷号：41
期号：2
页码：307-323
出版社：WAEA
摘要：We determined the value of soil test information for potassium (K) in upland cotton productionusing the linear response plateau (LRP) and linear response stochastic plateau (LRSP) functions. Astochastic dynamic programming model was used to determine the net present value to K fertilizerwhen optimal K was applied with knowledge about K carryover. Using K carryover informationfor K application decisions increased net present value and helped maintain steady levels of soilK. The LRSP function fit the data better than the LRP, and the value of soil testing was $27 ha􀀀1lower over ten years using the LRSP.
关键词：cotton; dynamic programming; linear response stochastic plateau; potassium; soil test;information