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

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  • Robert L. Weaber
  • Jayson L. Lusk

Abstract

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
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    File URL: http://hdl.handle.net/10.1093/ajae/aaq062
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    Cited by:

    1. Carlier, Alexis & Treich, Nicolas, 2020. "Directly Valuing Animal Welfare in (Environmental) Economics," International Review of Environmental and Resource Economics, now publishers, vol. 14(1), pages 113-152, April.
    2. 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, vol. 19(A), pages 1-24, June.
    3. Melissa G. S. McKendree & Glynn T. Tonsor & Ted C. Schroeder & Nathan P. Hendricks, 2020. "Impacts of Retail and Export Demand on United States Cattle Producers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 866-883, May.
    4. Fathi, Fatemeh & Bakhshoodeh, Mohammad, 2021. "Economic and environmental strategies against targeting energy subsidy in Iranian meat market: A game theory approach," Energy Policy, Elsevier, vol. 150(C).
    5. 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.
    6. 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.
    7. 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.
    8. Wang, S. & An, H. & Chang, W.-Y. & Gaston, C., 2018. "The economic effect of genomic technology on the forestry industry," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277443, International Association of Agricultural Economists.

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