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Evaluation of Soil Test Information in Agricultural Decision Making, An


  • Bruce A. Babcock
  • Alicia L. Carriquiry
  • Hal S. Stern


The value of soil-test information in planning fertilizer application levels is determined by using agricultural field-plot data to estimate the posterior distribution of mean soil-nitrate concentrations at a given location. Optimal decisions concerning fertilizer application levels are made with respect to this posterior distribution. Average reductions in fertilizer application rates range from 15 to 41 percent, depending on the form of prior information that is available.

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  • Bruce A. Babcock & Alicia L. Carriquiry & Hal S. Stern, 1996. "Evaluation of Soil Test Information in Agricultural Decision Making, An," Center for Agricultural and Rural Development (CARD) Publications 96-wp147, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  • Handle: RePEc:ias:cpaper:96-wp147

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    Cited by:

    1. Pautsch, Gregory R. & Babcock, Bruce A. & Breidt, F. Jay, 1999. "Optimal Information Acquisition Under A Geostatistical Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(02), December.
    2. Isik, Murat & Khanna, Madhu & Winter-Nelson, Alex, 2000. "Sequential Investment In Site-Specific Crop Management Under Output Price Uncertainty: Implications For Nitrogen Pollution Control," 2000 Annual meeting, July 30-August 2, Tampa, FL 21875, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Olson, Kent D., 1998. "Precision Agriculture: Current Economic And Environmental Issues," Conference Papers 14487, University of Minnesota, Center for International Food and Agricultural Policy.
    4. Lichtenberg, Erik, 2002. "Agriculture and the environment," Handbook of Agricultural Economics,in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 2, chapter 23, pages 1249-1313 Elsevier.
    5. Swinton, Scott M. & Jones, Kezelee Q., 1998. "From Data To Information: The Value Of Sampling Vs. Sensing Soil Data," Staff Papers 11674, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    6. 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.
    7. Gregory R. Pautsch & Bruce A. Babcock & F. Jay Breidt, 1998. "Optimal Sampling Under a Geostatistical Model," Center for Agricultural and Rural Development (CARD) Publications 98-wp200, Center for Agricultural and Rural Development (CARD) at Iowa State University.

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