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Estimating Site-Specific Nitrogen Crop Response Functions: A Conceptual Framework And Geostatistical Model

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  • Hurley, Terrance M.
  • Malzer, Gary L.
  • Kilian, Bernard

Abstract

Confirming the precision agriculture hypothesis for variable rate nitrogen applications (VRA) has proven challenging. To confront this challenge, researchers have begun to use increasingly sophisticated statistical models to estimate and compare site-specific crop response functions. While progress has been made, we believe it has been hampered by the lack of a clear conceptual framework to guide and motivate the development of appropriate models and methods. The purpose of this paper was to provide such a framework, while demonstrating its utility. The framework was used to develop a heteroscedastic, fixed and random effects, geostatistical model to test the potential for VRA to increase nitrogen returns. The model was implemented with data collected in 1995 from two corn nitrogen response experiments conducted in South Central Minnesota. Results of the analysis indicate there is significant potential to increase nitrogen returns using VRA. At one location, there was greater than a 95 percent chance that VRA would have increased profitability if the cost of implementing VRA was less than 14.5 $ ha-1. At the other location, if implementation costs were less than 48.3 $ ha-1, there was greater than a 95 percent chance for increased profitability through VRA.

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  • Hurley, Terrance M. & Malzer, Gary L. & Kilian, Bernard, 2003. "Estimating Site-Specific Nitrogen Crop Response Functions: A Conceptual Framework And Geostatistical Model," 2003 Annual meeting, July 27-30, Montreal, Canada 21950, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea03:21950
    DOI: 10.22004/ag.econ.21950
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    1. 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).
    2. 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).
    3. Bullock, David S. & Lowenberg-DeBoer, Jess & Swinton, Scott M., 2002. "Adding value to spatially managed inputs by understanding site-specific yield response," Agricultural Economics, Blackwell, vol. 27(3), pages 233-245, November.
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    Cited by:

    1. 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.
    2. Perrin, Richard K. & Queiroz, Pedro & Silva, Felipe & Fulginiti, Lilyan E., 2018. "Ex-ante expected payoff from variable rate N application: an expected value of sample information (EVSI) approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274351, Agricultural and Applied Economics Association.
    3. Oishi, Kikuo & Hurley, Terrance M. & Malzer, Gary L., 2006. "Evidence of Temporal Variation in Site-Specific Crop Response to Fertilizer Inputs," 2006 Annual meeting, July 23-26, Long Beach, CA 21140, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Pardey, Philip G. & James, Jennifer S. & Alston, Julian M. & Wood, Stanley & Koo, Bonwoo & Binenbaum, Eran & Hurley, Terrance M. & Glewwe, Paul & Mayer, Jorge & Jones, Richard & De Groote, Hugo & Kana, 2007. "Science, Technology and Skills," Reports 136256, University of Minnesota, International Science and Technology Practice and Policy.
    5. Anvec, Tihomir & Whelan, Brett & McBratney, Alex, 2004. "On the Economics of Precision Agriculture: Technical, Informational and Environmental Aspects," 2004 Conference (48th), February 11-13, 2004, Melbourne, Australia 58362, Australian Agricultural and Resource Economics Society.
    6. Queiroz, Pedro W. V. & Perrin, Richard K. & Fulginiti, Lilyan E. & Bullock, David S., 2023. "An Expected Value of Sample Information (EVSI) Approach for Estimating the Payoff from a Variable Rate Technology," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(01), January.
    7. Lambert, Dayton M. & Lowenberg-DeBoer, James & Malzer, Gary L., 2004. "A Systems Approach For Evaluating On-Farm Site-Specific Management Trials: A Case Study With Variable Rate Manure And Crop Quality Response To Inputs," 2004 Annual meeting, August 1-4, Denver, CO 20091, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Lambert, Dayton M. & Malzer, Gary L. & Lowenberg-DeBoer, James, 2003. "A Systems Approach Incorporating Soil Test Information Into Site-Specific Manure Management Recommendations," Staff Papers 28623, Purdue University, Department of Agricultural Economics.
    9. Beddow, Jason M. & Hurley, Terrance M. & Pardey, Philip G. & Alston, Julian M., 2015. "Rethinking yield gaps," Staff Papers 201093, University of Minnesota, Department of Applied Economics.
    10. Lambert, Dayton M. & Lowenberg-DeBoer, James & Malzer, Gary L., 2005. "Managing Phosphorous Soil Dynamics Over Space And Time," 2005 Annual meeting, July 24-27, Providence, RI 19452, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Martin Bachmaier, 2009. "A confidence set for that x-coordinate where a quadratic regression model has a given gradient," Statistical Papers, Springer, vol. 50(3), pages 649-660, June.
    12. Velandia Margarita & Roderick M. Rejesus & Eduardo Segarra & Kevin Bronson, 2004. "Un análisis económico de la aproximación estadística para el establecimiento de zonas de manejo en agricultura de precisión: caso de algodón en Texas," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE.
    13. Li, Xiaofei & Coble, Keith H. & Tack, Jesse B. & Barnett, Barry J., 2016. "Estimating Site-Specific Crop Yield Response using Varying Coefficient Models," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235798, Agricultural and Applied Economics Association.

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    Crop Production/Industries;

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