Comparing the Value of Soil Test Information Using Deterministic and Stochastic Yield Response Plateau Functions

We determined the value of soil test information for potassium (K) in upland cotton production using the linear response plateau (LRP) and linear response stochastic plateau (LRSP) functions. A stochastic dynamic programming model was used to determine the net present value to K fertilizer when optimal K was applied with knowledge about K carryover. Using K carryover information for K application decisions increased net present value and helped maintain steady levels of soil K. The LRSP function fit the data better than the LRP, and the value of soil testing was $27 ha-1 lower over ten years using the LRSP.


Issue Date:
2016-05
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/235192
Published in:
Journal of Agricultural and Resource Economics, Volume 41, Number 2
Page range:
307-323




 Record created 2017-04-01, last modified 2018-01-23

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