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Production and Profitability Responses to Alternative Protein Sources and Levels in Broiler Rations

Author

Listed:
  • Costa, Ecio F.
  • Miller, Bill R.
  • Houston, Jack E.
  • Pesti, Gene M.

Abstract

Profitability of using alternative protein sources in broiler feed is investigated through the development of a two-stage mathematical program that optimizes broiler production. A case study of peanut meal vs. soybean meal is examined. Value of marginal product concepts incorporated in this model permit analysis of demand adjustments before decisions on the production process occur. Given reported input and output prices, results indicate that soybean meal is generally more profitable than peanut meal. Peanut meal can be more profitable at higher dietary protein levels fed to broilers processed into whole carcass or at relatively higher prices for soybean meal.

Suggested Citation

  • Costa, Ecio F. & Miller, Bill R. & Houston, Jack E. & Pesti, Gene M., 2001. "Production and Profitability Responses to Alternative Protein Sources and Levels in Broiler Rations," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 33(3), pages 567-581, December.
  • Handle: RePEc:cup:jagaec:v:33:y:2001:i:03:p:567-581_02
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    Cited by:

    1. Costa, Ecio de Farias & Houston, Jack E., 2006. "An Interactive Decision Model Integrating Broiler Production and Processing Responsiveness to Consumer and Producer Prices," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25295, International Association of Agricultural Economists.
    2. Costa, Ecio de Farias & Houston, Jack E. & Gunter, Lewell F. & Pesti, Gene M., 2002. "Incorporating Consumer Demand In Broiler Profit-Maximization Modeling," Journal of Food Distribution Research, Food Distribution Research Society, vol. 33(3), pages 1-10, November.

    More about this item

    JEL classification:

    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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