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Production Practice Alternatives For Income And Suitable Field Day Risk Management

  • Dillon, Carl R.
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    Production risk includes yield and days suitable for fieldwork variability. Both were modeled using biophysical simulation and a mean-variance, chance-constrained mathematical programming formulation representing a Kentucky corn, soybean, and wheat producer. While crop diversification, planting date, and maturity group can be used to reduce the types of risk considered, interaction between the two influences how production practices are used to manage risk. For the conditions studied, plant population alterations were less effective for risk reduction of either component. The study provides evidence of the importance of the consideration of both elements of production risk in whole farm planning.

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    File URL: http://purl.umn.edu/15382
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    Article provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.

    Volume (Year): 31 (1999)
    Issue (Month): 02 (August)
    Pages:

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    Handle: RePEc:ags:joaaec:15382
    Contact details of provider: Web page: http://www.saea.org/jaae/jaae.htm
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    1. Apland, Jeffrey & Kaiser, Harry M., 1984. "Discrete Stochastic Sequential Programming: A Primer," Staff Papers 13545, University of Minnesota, Department of Applied Economics.
    2. Grisley, W., 1994. "Farmer-to-farmer transfer of new crop varieties: an empirical analysis on small farms in Uganda," Agricultural Economics, Blackwell, vol. 11(1), pages 43-49, September.
    3. Bruce A. McCarl & David A. Bessler, 1989. "Estimating An Upper Bound On The Pratt Risk A Version Coefficient When The Utility Function Is Unknown," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 33(1), pages 56-63, 04.
    4. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
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