IDEAS home Printed from
   My bibliography  Save this article

The Economic Value of Improvements in Beef Tenderness by Genetic Marker Selection


  • Robert L. Weaber
  • Jayson L. Lusk


A genetic simulation model is combined with an economic model of the U.S. beef industry to determine how consumer demand shifts, resulting from bull and heifer selection strategies that improve steak tenderness, affect economic profitability at four points in the beef supply chain. The results indicate that a selection strategy in which bulls in the upper 30% of genetic merit are selected each year would result in increased profitability of $9.60/head for feeder cattle and $1.23/head for fed cattle in 20 years. The net present value of the genetic improvement program is estimated to produce economic benefits of $7.6 billion. Copyright 2010, Oxford University Press.

Suggested Citation

  • Robert L. Weaber & Jayson L. Lusk, 2010. "The Economic Value of Improvements in Beef Tenderness by Genetic Marker Selection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1456-1471.
  • Handle: RePEc:oup:ajagec:v:92:y:2010:i:5:p:1456-1471

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

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


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

    Cited by:

    1. Adam, Brian D. & Holcomb, Rodney & Buser, Michael & Mayfield, Blayne & Thomas, Johnson & O’Bryan, Corliss A. & Crandall, Philip & Knipe, Dar & Knipe, Richard & Ricke, Steven C., 2016. "Enhancing Food Safety, Product Quality, and Value-Added in Food Supply Chains Using Whole-Chain Traceability," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IFAMA), vol. 19(A).
    2. Li, Xiaogu & Jensen, Kimberly L. & Clark, Christopher D. & Lambert, Dayton M., 2015. "Consumer Willingness-to-Pay for Non-taste Attributes in Beef Products," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196719, Southern Agricultural Economics Association.
    3. McKendree, Melissa G.S. & Tonsor, Glynn T. & Schroder, Ted C. & Hendricks, Nathan P., 2017. "Changing Impacts of Beef Demand on Cattle Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252730, 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), April.

    More about this item


    Access and download statistics


    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:92:y:2010:i:5:p:1456-1471. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press) or (Christopher F. Baum). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.