IDEAS home Printed from https://ideas.repec.org/p/ags/saea16/229600.html
   My bibliography  Save this paper

Temporal Frequency of Soil Test Information Effects on Returns to Potassium Fertilization in Cotton Production

Author

Listed:
  • Harmon, Xavier
  • Boyer, Christopher N.
  • Lambert, Dayton M.
  • Larson, James

Abstract

Little research exists on the optimal temporal frequency between soil tests, given empirical data on soil potassium (K) carryover and its interaction with cotton yield. We evaluate how increasing the temporal frequency between obtaining K soil test information affects the net present value (NPV) of cotton production. A 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 $18,749 per hectare when producers updated soil testing information every other year, which was $4 per hectare per year greater than annual soil testing.

Suggested Citation

  • Harmon, Xavier & Boyer, Christopher N. & Lambert, Dayton M. & Larson, James, 2016. "Temporal Frequency of Soil Test Information Effects on Returns to Potassium Fertilization in Cotton Production," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229600, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea16:229600
    DOI: 10.22004/ag.econ.229600
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/229600/files/SAEA%20paper_XH.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.229600?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    2. M. S. Stauber & Oscar R. Burt & Fred Linse, 1975. "An Economic Evaluation of Nitrogen Fertilization of Grasses When Carry-over is Significant," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(3), pages 463-471.
    3. Tumusiime, Emmanuel & Brorsen, B. Wade & Mosali, Jagadeesh & Johnson, Jim & Locke, James & Biermacher, Jon T., 2011. "Determining Optimal Levels of Nitrogen Fertilizer Using Random Parameter Models," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(4), pages 1-12, November.
    4. Segarra, Eduardo & Ethridge, Don E. & Deussen, Curtis R. & Onken, Arthur B., 1989. "Nitrogen Carry-Over Impacts In Irrigated Cotton Production, Southern High Plains Of Texas," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(2), pages 1-10, December.
    5. Léonard,Daniel & Long,Ngo van, 1992. "Optimal Control Theory and Static Optimization in Economics," Cambridge Books, Cambridge University Press, number 9780521331586, October.
    6. Lambert, Dayton M. & English, Burton & Harper, David & Larkin, Sherry L. & Laron, James & Mooney, Daniel F. & Roberts, Roland & Velandia, Margarita & Reeves, Jeanne, 2014. "Corrigendum to “Adoption and Frequency of Precision Soil Testing in Cotton Production”," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-1.
    7. Kennedy, John O.S. & Whan, Ian F. & Jackson, R. & Dillon, John L., 1973. "Optimal Fertilizer Carryover And Crop Recycling Policies For A Tropical Grain Crop," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 17(2), pages 1-10, August.
    8. Park, Seong Cheol & Stoecker, Arthur L. & Hattey, Jeffory A. & Turner, Jason Clemn, 2007. "Long-Term Profitabiltiy Of Animal Manure Using Optimal Nitrogen Application Rate," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34830, Southern Agricultural Economics Association.
    9. Jomini, Patrick A. & Deuson, Robert R. & Lowenberg-DeBoer, J. & Bationo, Andre, 1991. "Modelling stochastic crop response to fertilisation when carry-over matters," Agricultural Economics, Blackwell, vol. 6(2), pages 97-113, December.
    10. Wayne A. Fuller, 1965. "Stochastic Fertilizer Production Functions for Continuous Corn," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(1), pages 105-119.
    11. Harper, David C. & Lambert, Dayton M. & Larson, James A. & Gwathmey, C. Owen, 2012. "Potassium carryover dynamics and optimal application policies in cotton production," Agricultural Systems, Elsevier, vol. 106(1), pages 84-93.
    12. Lambert, Dayton M. & English, Burton C. & Harper, David C. & Larkin, Sherry L. & Larson, James A. & Mooney, Daniel F. & Roberts, Roland K. & Velandia, Margarita & Reeves, Jeanne M., 2014. "Adoption and Frequency of Precision Soil Testing in Cotton Production," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-18, April.
    13. Christopher N. Boyer & B. Wade Brorsen & Emmanuel Tumusiime, 2015. "Modeling skewness with the linear stochastic plateau model to determine optimal nitrogen rates," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 1-10, January.
    14. Jon T. Biermacher & B. Wade Brorsen & Francis M. Epplin & John B. Solie & William R. Raun, 2009. "The economic potential of precision nitrogen application with wheat based on plant sensing," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 397-407, July.
    15. Gelson Tembo & B. Wade Brorsen & Francis M. Epplin & Emílio Tostão, 2008. "Crop Input Response Functions with Stochastic Plateaus," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 424-434.
    16. Edgar A. Lanzer & Quirino Paris, 1981. "A New Analytical Framework for the Fertilization Problem," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 93-103.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Boyer, Christopher M. & McFarlane, Zach McFarlane & Mulliniks, Travis & Griffith, Andrew P., 2018. "Simulating Calving Season Length Impact on Beef Cattle Profitability," 2018 Annual Meeting, August 5-7, Washington, D.C. 274107, Agricultural and Applied Economics Association.
    2. Boyer, Christopher N. & Griffith, Andrew P. & Pohler, Ky G., 2020. "Improving Beef Cattle Profifitability by Changing Calving Season Length," Journal of Applied Farm Economics, Purdue University, vol. 3(1), January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Harmon, Xavier & Boyer, Christopher N. & Lambert, Dayton M. & Larson, James A. & Gwathmey, C. Owen, 2016. "Comparing the Value of Soil Test Information Using Deterministic and Stochastic Yield Response Plateau Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    2. Harper, David C. & Lambert, Dayton M. & Larson, James A. & Gwathmey, C. Owen, 2012. "Potassium carryover dynamics and optimal application policies in cotton production," Agricultural Systems, Elsevier, vol. 106(1), pages 84-93.
    3. Agarwal, Sandip Kumar, 2017. "Subjective beliefs and decision making under uncertainty in the field," ISU General Staff Papers 201701010800006248, Iowa State University, Department of Economics.
    4. Zhou, Xia “Vivian” & Clark, Christopher D. & Lambert, Dayton M. & English, Burton C. & Larson, James A. & Boyer, Christopher N., 2015. "Biomass supply and nutrient runoff abatement under alternative biofuel feedstock production subsidies," Agricultural Systems, Elsevier, vol. 139(C), pages 250-259.
    5. Farquharson, Robert J. & Cacho, Oscar J. & Turpin, J.E., 2000. "Agricultural response analysis in a longer term framework," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123634, Australian Agricultural and Resource Economics Society.
    6. Klaus Moeltner & A. Ford Ramsey & Clinton L. Neill, 2021. "Bayesian Kinked Regression with Unobserved Thresholds: An Application to the von Liebig Hypothesis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1832-1856, October.
    7. Kennedy, John O.S., 1986. "Rules For Optimal Fertilizer Carryover: An Alternative Explanation," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 54(02), pages 1-8, August.
    8. Frederic Ouedraogo & B. Wade Brorsen, 2018. "Hierarchical Bayesian Estimation of a Stochastic Plateau Response Function: Determining Optimal Levels of Nitrogen Fertilization," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(1), pages 87-102, March.
    9. Sihvonen, Matti & Pihlainen, Sampo & Lai, Tin-Yu & Salo, Tapio & Hyytiäinen, Kari, 2021. "Crop production, water pollution, or climate change mitigation—Which drives socially optimal fertilization management most?," Agricultural Systems, Elsevier, vol. 186(C).
    10. Brorsen, B. & Ouedraogo, Frederic, 2015. "Using Bayesian Estimation Methods to Determine Optimal Levels of Nitrogen Fertilization," 2015 Conference, August 9-14, 2015, Milan, Italy 211373, International Association of Agricultural Economists.
    11. McFadden, Brandon R. & Brorsen, B. Wade, 2015. "Pr - Nitrogen Fertilizer Recommendations Based On Precision Sensing And Bayesian Updating," 20th Congress, Quebec, Canada, 2015 345756, International Farm Management Association.
    12. Tumusiime, Emmanuel & B. Wade, Brorsen & Mosali, Jagadeesh & Johnson, Jim & Locke, James & Biermacher, Jon T., 2011. "Determining Optimal Levels of Nitrogen Fertilizer Using Random Parameter Models," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(4), pages 541-552, November.
    13. Boyer, Christopher M. & Lambert, Dayton M. & Larson, James A. & Tyler, Donald, 2017. "Investment Analysis of Long-term Cover Crops and Tillage Systems on Cotton Production," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258525, Agricultural and Applied Economics Association.
    14. Boyer, Christopher N. & Lambert, Dayton M. & Velandia, Margarita & English, Burton C. & Robert, Roland K. & Larson, James A. & Larkin, Sherry L. & Paudel, Krishna P. & Reeves, Jeanne M., 2016. "Cotton Producer Awareness and Participation in Cost-Sharing Programs for Precision Nutrient-Management Technology," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(1), pages 1-16, January.
    15. Fateh Mamine & Noure El Imène Boumali & Etienne Montaigne, 2020. "Why Farmers Adopt Agro-Industrial By-Products in Animal Feed? Lesson Learned in Algerian Case," Post-Print hal-02966547, HAL.
    16. Asare, Eric & Segarra, Eduardo, 2017. "Adoption and Extent of Adoption of Georeferenced Grid Soil Sampling Technology by Cotton Producers in the Southern US," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252773, Southern Agricultural Economics Association.
    17. Park, Seong C. & Brorsen, B. Wade & Stoecker, Arthur L. & Hattey, Jeffory A., 2012. "Forage Response to Swine Effluent: A Cox Nonnested Test of Alternative Functional Forms Using a Fast Double Bootstrap," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(4), pages 593-606, November.
    18. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    19. Boyer, Christopher N. & Larson, James A. & Roberts, Roland K. & McClure, Angela T. & Tyler, Donald D. & Smith, S. Aaron, 2014. "Probability of Irrigated Corn Being Profitable in a Humid Region," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162470, Southern Agricultural Economics Association.
    20. Shang, Linmei & Heckelei, Thomas & Börner, Jan & Rasch, Sebastian, 2020. "Adoption and Diffusion of Digital Farming Technologies – Integrating Farm-Level Evidence and System-Level Interaction," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305586, German Association of Agricultural Economists (GEWISOLA).

    More about this item

    Keywords

    Production Economics;

    JEL classification:

    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:saea16:229600. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.