TEMPORAL FREQUENCY OF SOIL TEST INFORMATION EFFECTS ON RETURNS TO POTASSIUM FERTILIZATION IN COTTON PRODUCTION

Xavier Harmon, Christopher Boyer, Dayton Lambert and James Larson ()

Journal of Agricultural and Applied Economics, 2017, vol. 49, issue 2, 251-272

Abstract: Little research exists on the optimal temporal frequency between soil tests, given empirical data on potassium (K) carryover and its interaction with cotton yield. We evaluate how decreasing the temporal frequency between obtaining K soil test information affects the net present value (NPV) of cotton production. Monte Carlo simulation was used to determine NPV for cotton production using five soil test schedules ranging from soil testing annually to every fifth year. NPV of returns to K was maximized at $7,580/ac. when producers updated soil testing information every 2 years, which was $2/ac. per year greater than annual soil testing.

Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

Related works:
Journal Article: Temporal Frequency of Soil Test Information Effects on Returns to Potassium Fertilization in Cotton Production (2017)
Working Paper: Temporal Frequency of Soil Test Information Effects on Returns to Potassium Fertilization in Cotton Production (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:jagaec:v:49:y:2017:i:02:p:251-272_00

Access Statistics for this article

More articles in Journal of Agricultural and Applied Economics from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().