IDEAS home Printed from https://ideas.repec.org/p/ags/aaea22/344051.html
   My bibliography  Save this paper

Measuring the Estimation Bias of Yield Response to N Using Combined On-Farm Experiment Data

Author

Listed:
  • Du, Qianqian
  • Mieno, Taro
  • Bullock, David S.

Abstract

No abstract is available for this item.

Suggested Citation

  • Du, Qianqian & Mieno, Taro & Bullock, David S., 2024. "Measuring the Estimation Bias of Yield Response to N Using Combined On-Farm Experiment Data," 2024 Annual Meeting, July 28-30, New Orleans, LA 344051, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea22:344051
    DOI: 10.22004/ag.econ.344051
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/344051/files/29363.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.344051?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. Wang, Ying & Shi, Wenjuan & Wen, Tianyang, 2023. "Prediction of winter wheat yield and dry matter in North China Plain using machine learning algorithms for optimal water and nitrogen application," Agricultural Water Management, Elsevier, vol. 277(C).
    2. W. J. Spillman, 1923. "Application of the Law of Diminishing Returns to Some Fertilizer and Feed Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 5(1), pages 36-52.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. Chaofan Ma & Lingzhi Wang & Yangfan Chen & Junjie Wu & Anqi Liang & Xinyao Li & Chengge Jiang & Hichem Omrani, 2024. "Evolution and Drivers of Production Patterns of Major Crops in Jilin Province, China," Land, MDPI, vol. 13(7), pages 1-19, July.
    4. 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.
    5. Satya Yadav & Willis Peterson & K. Easter, 1997. "Do farmers overuse nitrogen fertilizer to the detriment of the environment?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 9(3), pages 323-340, April.
    6. Rashki, Paria & piri, halimeh & Khamari, Eisa, 2022. "Determining the production function and optimal irrigation depth of Roselle in deficit irrigation conditions and using potassium fertilizer," Agricultural Water Management, Elsevier, vol. 271(C).
    7. 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.
    8. Beata Itin‐Shwartz, 2024. "Survey based assessment of sustainable agricultural practices: Evidence from Indian plots," Agribusiness, John Wiley & Sons, Ltd., vol. 40(2), pages 416-457, April.
    9. He, Li & Du, Yu & Yu, Menglong & Wen, Hao & Ma, Haochen & Xu, Ying, 2024. "A stochastic simulation-based method for predicting the carrying capacity of agricultural water resources," Agricultural Water Management, Elsevier, vol. 291(C).
    10. 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.
    11. Wang, Yunqi & Peng, Yu & Lin, Jiaqi & Wang, Lixin & Jia, Zhikuan & Zhang, Rui, 2023. "Optimal nitrogen management to achieve high wheat grain yield, grain protein content, and water productivity: A meta-analysis," Agricultural Water Management, Elsevier, vol. 290(C).
    12. 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, vol. 49(2), pages 251-272, May.
    13. 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.
    14. Park, Seong Cheol & Vitale, Jeffrey D. & Turner, Jason Clemn & Stoecker, Arthur L. & Hattey, Jeffory A., 2011. "Economic Potential of Swine Effluent in Intensified Forage Systems in the Southern Plains," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2011, pages 1-22, June.
    15. 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.
    16. 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.
    17. King, Gordon A., 1984. "Analytical Tools and the Development of Quantitative Methods (1920-1984)," 1984 Annual Meeting, August 5-8, Ithaca, New York 279015, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. 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.

    More about this item

    Keywords

    Production Economics; Research Methods/Statistical Methods; Research And Development/ Tech Change/Emerging Technologies;
    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:aaea22:344051. 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/aaeaaea.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.