[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ags/saea13/142951.html
   My bibliography  Save this paper

Using Bayesian Estimation and Decision Theory to Determine the Optimal Level of Nitrogen in Cotton

Author

Listed:
  • Brorsen, B. Wade
Abstract
Improved software now makes Bayesian estimation a strong alternative to nonlinear maximum likelihood. Bayesian methods were used to estimate a linear response stochastic plateau for cotton and were shown to provide estimates similar to maximum likelihood. Optimal levels of nitrogen were lower than recommended levels.

Suggested Citation

  • Brorsen, B. Wade, 2013. "Using Bayesian Estimation and Decision Theory to Determine the Optimal Level of Nitrogen in Cotton," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142951, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea13:142951
    DOI: 10.22004/ag.econ.142951
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/142951/files/Bayesian%20Stochastic%20Plateau.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.142951?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
    ---><---

    References listed on IDEAS

    as
    1. Tembo, Gelson & Brorsen, B. Wade & Epplin, Francis M., 2003. "Linear Response Stochastic Plateau Functions," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35217, Southern Agricultural Economics Association.
    2. Xiaodong Du & David A. Hennessy & Cindy L. Yu, 2012. "Testing Day's Conjecture that More Nitrogen Decreases Crop Yield Skewness," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 225-237.
    3. Roberts, David C. & Brorsen, B. Wade & Solie, John B. & Raun, William R., 2011. "The effect of parameter uncertainty on whole-field nitrogen recommendations from nitrogen-rich strips and ramped strips in winter wheat," Agricultural Systems, Elsevier, vol. 104(4), pages 307-314, April.
    4. Peter Berck & Gloria Helfand, 1990. "Reconciling the von Liebig and Differentiable Crop Production Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(4), pages 985-996.
    5. Garth Holloway & Quirino Paris, 2002. "Production Efficiency in the von Liebig Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1271-1278.
    6. Kaitibie, Simeon & Epplin, Francis M. & Brorsen, B. Wade & Horn, Gerald W. & Krenzer, Eugene G. & Paisley, Steven I., 2003. "Optimal Stocking Density for Dual-Purpose Winter Wheat Production," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 35(1), pages 29-38, April.
    7. 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.
    8. B. Brorsen & Francisca Richter, 2012. "Experimental designs for estimating plateau-type production functions and economically optimal input levels," Journal of Productivity Analysis, Springer, vol. 38(1), pages 45-52, August.
    9. Garth Holloway, 2003. "An Old Problem Revisited—and Solved: Upton and Dalton's Linear Production Response: A Note," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(3), pages 487-497, November.
    10. Berna Karali & Gabriel J. Power & Ariun Ishdorj, 2011. "Bayesian State-Space Estimation of Stochastic Volatility for Storable Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 434-440.
    11. Paul V. Preckel & Eric DeVuyst, 1992. "Efficient Handling of Probability Information for Decision Analysis under Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 655-662.
    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. Ouedraogo, Frederic B. & Brorsen, B. Wade, 2014. "Bayesian Estimation of Optimal Nitrogen Rates with a Non-Normally Distributed Stochastic Plateau Function," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162447, Southern Agricultural Economics Association.
    2. Asci, Serhat & Borisova, Tatiana & VanSickle, John J., 2014. "Risks in Potato Production: Fertilizer, Water, and Producers’ Decision Making," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162536, Southern Agricultural Economics Association.
    3. Mkondiwa, Maxwell Gibson, 2015. "Whither Broad or Spatially Specific Fertilizer Recommendations?," Master's Theses and Plan B Papers 237344, University of Minnesota, Department of Applied Economics.
    4. 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.
    5. Falconer, Lawrence L. & Walker, Timothy W. & Richardson, James W., 2014. "Economic Evaluation of Fertilizer Reduction Incentive Programs for Rice Producers," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2014, pages 1-15.
    6. Chapoto, Antony & Sabasi, Darlington & Asante-Addo, Collins, "undated". "Fertilizer Intensification and Soil Fertility Impact on Maize Yield Response in Northern Ghana," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205694, Agricultural and Applied Economics Association.
    7. Asci, Serhat & Borisova, Tatiana & VanSickle, John J., 2015. "Role of economics in developing fertilizer best management practices," Agricultural Water Management, Elsevier, vol. 152(C), pages 251-261.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Takeshima, Hiroyuki & Kishore, Avinash & Kumar, Anjani, 2024. "Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344280, International Association of Agricultural Economists (IAAE).
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Ng'ombe, John, 2019. "Economics of the Greenseeder Hand Planter, Discrete Choice Modeling, and On-Farm Field Experimentation," Thesis Commons jckt7, Center for Open Science.
    11. Humblot, Pierre & Jayet, Pierre-Alain & Petsakos, Athanasios, 2017. "Farm-level bio-economic modeling of water and nitrogen use: Calibrating yield response functions with limited data," Agricultural Systems, Elsevier, vol. 151(C), pages 47-60.
    12. Biermacher, Jon T. & Epplin, Francis M. & Brorsen, B. Wade & Solie, John B. & Raun, William R., 2007. "PR - What Is The Potential For Precision Agriculture Based On Plant Sensing?," 16th Congress, Cork, Ireland, July 15-20, 2007 345360, International Farm Management Association.
    13. Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.
    14. Xiaodong Du & Cindy L. Yu & David A. Hennessy & Ruiqing Miao, 2015. "Geography of crop yield skewness," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 463-473, July.
    15. Ouedraogo, Frederic B. & Brorsen, B. Wade, 2014. "Bayesian Estimation of Optimal Nitrogen Rates with a Non-Normally Distributed Stochastic Plateau Function," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162447, Southern Agricultural Economics Association.
    16. Roberts, David C. & Brorsen, B. Wade & Solie, John B. & Raun, William R., 2011. "The effect of parameter uncertainty on whole-field nitrogen recommendations from nitrogen-rich strips and ramped strips in winter wheat," Agricultural Systems, Elsevier, vol. 104(4), pages 307-314, April.
    17. Boyer, Christopher N. & Larson, James A. & Roberts, Roland K. & McClure, Angela T. & Tyler, Donald D., 2014. "The impact of field size and energy cost on the profitability of supplemental corn irrigation," Agricultural Systems, Elsevier, vol. 127(C), pages 61-69.
    18. Roberts, David C. & Brorsen, B. Wade & Raun, William R. & Solie, John B., 2008. "The Value of Regional Annual Nitrogen Needs Information for Wheat Producers in Oklahoma," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6734, Southern Agricultural Economics Association.
    19. Boyer, Christopher N. & Larson, James A. & Roberts, Roland K. & McClure, Angela T. & Tyler, Donald D. & Zhou, Vivian, 2013. "Stochastic Corn Yield Response Functions to Nitrogen for Corn after Corn, Corn after Cotton, and Corn after Soybeans," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(4), pages 1-12, November.
    20. Rosas, Juan Francisco, 2012. "Essays on the environmental effects of agricultural production," ISU General Staff Papers 201201010800003744, Iowa State University, Department of Economics.

    More about this item

    Keywords

    Crop Production/Industries; Farm Management; Production Economics; Research Methods/ Statistical Methods;
    All these keywords.

    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:saea13:142951. 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.