IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v106y2012i1p84-93.html
   My bibliography  Save this article

Potassium carryover dynamics and optimal application policies in cotton production

Author

Listed:
  • Harper, David C.
  • Lambert, Dayton M.
  • Larson, James A.
  • Gwathmey, C. Owen

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.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:agisys:v:106:y:2012:i:1:p:84-93 DOI: 10.1016/j.agsy.2011.10.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X1100165X
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    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. 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(02), December.
    4. Bongiovanni, Rodolfo & Lowenberg-DeBoer, James, 2001. "Precision Agriculture: Economics Of Nitrogen Management In Corn Using Site-Specific Crop Response Estimates From A Spatial Regression Model," 2001 Annual meeting, August 5-8, Chicago, IL 20650, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Fisher, Brian S. & Lee, R.R., 1981. "A Dynamic Programming Approach to the Economic Control of Weed and Disease Infestations in Wheat," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 49(03), December.
    6. Léonard,Daniel & Long,Ngo van, 1992. "Optimal Control Theory and Static Optimization in Economics," Cambridge Books, Cambridge University Press, number 9780521331586, December.
    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(02), 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. Cameron,A. Colin & Trivedi,Pravin K., 2008. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9787111235767, December.
    10. 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.
    11. Chiarella Carl & Semmler Willi & Mittnik Stefan & Zhu Peiyuan, 2002. "Stock Market, Interest Rate and Output: A Model and Estimation for US Time Series Data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(1), pages 1-39, April.
    12. Hurley, Terrance M. & Kilian, Bernard & Malzer, Gary L. & Dikici, Huseyin, 2001. "The Value Of Information For Variable Rate Nitrogen Applications: A Comparison Of Soil Test, Topographical, And Remote Sensing Information," 2001 Annual meeting, August 5-8, Chicago, IL 20726, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Hurley, Terrance M. & Oishi, Kikuo & Malzer, Gary L., 2005. "Estimating the Potential Value of Variable Rate Nitrogen Applications: A Comparison of Spatial Econometric and Geostatistical Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(02), August.
    14. Kennedy, John O.S., 1981. "An Alternative Method for Deriving Optimal Fertilizer Rates: Comment and Extension," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 49(03), December.
    15. Watkins, K. Bradley & Lu, Yao-Chi & Huang, Wen-Yuan, 1998. "Economic And Environmental Feasibility Of Variable Rate Nitrogen Fertilizer Application With Carry-Over Effects," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(02), December.
    16. Maine, Ntsikane & Nell, Wilhelm T. & Lowenberg-DeBoer, James & Alemu, Zerihun Gudeta, 2007. "Economic Analysis of Phosphorus Applications under Variable and Single-Rate Applications in the Bothaville District," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 46(4), December.
    17. Christopher Ackello-Ogutu & Quirino Paris & William A. Williams, 1985. "Testing a von Liebig Crop Response Function against Polynomial Specifications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 873-880.
    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. Harmon, Xavier & Boyer, Christopher N. & Lambert, Dayton M. & Larson, James A., 2017. "Temporal Frequency Of Soil Test Information Effects On Returns To Potassium Fertilization In Cotton Production," Journal of Agricultural and Applied Economics, Cambridge University Press, pages 251-272.
    2. 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.
    3. 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), April.
    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, pages 250-259.

    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:eee:agisys:v:106:y:2012:i:1:p:84-93. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.