IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v89y2007i1p24-35.html
   My bibliography  Save this article

Economic Replacement of a Heterogeneous Herd

Author

Listed:
  • Kathryn A. Boys
  • Ning Li
  • Paul V. Preckel
  • Allan P. Schinckel
  • Kenneth A. Foster

Abstract

A model was developed to determine the optimal slaughter weights of pigs with heterogeneous growth raised in a 1,000 head barn and marketed in truckload groups. Under commonly used revenue schemes, which include discounts for weight and leanness, the optimal strategy was to market one or two truckloads of the heaviest animals, to wait several days, and then to market the rest of the herd. This multiple marketing strategy allows the producer to avoid some sort losses for heavy animals, but only modestly extends the grow/finish period, reflecting the dominance of the opportunity cost of facilities in the herd replacement decision. Copyright 2007, Oxford University Press.

Suggested Citation

  • Kathryn A. Boys & Ning Li & Paul V. Preckel & Allan P. Schinckel & Kenneth A. Foster, 2007. "Economic Replacement of a Heterogeneous Herd," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 24-35.
    • Handle: RePEc:oup:ajagec:v:89:y:2007:i:1:p:24-35
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2007.00960.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pourmoayed, Reza & Nielsen, Lars Relund, 2019. "An approximate dynamic programming approach for sequential pig marketing decisions at herd level," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1056-1070.
    2. Leen, Frederik & Van den Broeke, Alice & Aluwé, Marijke & Ludwig, Lauwers & Sam, Millet & Jef, Van Meensel, 2017. "Simulation Modelling To Provide Insights Into The Optimization Of Delivery Weights Of Finisher Pigs," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261272, European Association of Agricultural Economists.
    3. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2014. "Value of Genetic Information for Beef Cattle at the Feedlot Stage," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162431, Southern Agricultural Economics Association.
    4. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2014. "Value of Genetic Information for Management and Selection of Feedlot Cattle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-17, April.
    5. Reza Pourmoayed & Lars Relund Nielsen, 2022. "Optimizing pig marketing decisions under price fluctuations," Annals of Operations Research, Springer, vol. 314(2), pages 617-644, July.
    6. Leen, Frederik & Van den Broeke, Alice & Aluwé, Marijke & Lauwers, Ludwig & Millet, Sam & Van Meensel, Jef, 2018. "Stakeholder-driven modelling the impact of animal profile and market conditions on optimal delivery weight in growing-finishing pig production," Agricultural Systems, Elsevier, vol. 162(C), pages 34-45.
    7. Hubbs, Todd & Preckel, Paul V. & Schinckel, Allan P. & Deen, John & Foster, Kenneth A. & Curtis, Stanley E. & Johnson, E. Wayne, 2008. "The New Economics of Livestock Production Management," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6146, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Jeffrey Ohlmann & Philip Jones, 2011. "An integer programming model for optimal pork marketing," Annals of Operations Research, Springer, vol. 190(1), pages 271-287, October.
    9. Pourmoayed, Reza & Nielsen, Lars Relund & Kristensen, Anders Ringgaard, 2016. "A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs," European Journal of Operational Research, Elsevier, vol. 250(3), pages 925-938.
    10. Niemi, Jarkko K. & Sevón-Aimonen, Marja-Liisa, 2009. "PR - Economically Optimal Pig Delivery Scheduling And The Design Of Meat Pricing Schemes When Pig Group Is Heterogeneous," 17th Congress, Illinois State University, USA, July 19-24, 2009 345519, International Farm Management Association.
    11. Sara Rodríguez & Lluis Plà & Javier Faulin, 2014. "New opportunities in operations research to improve pork supply chain efficiency," Annals of Operations Research, Springer, vol. 219(1), pages 5-23, August.

    More about this item

    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:oup:ajagec:v:89:y:2007:i:1:p:24-35. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (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.