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Value of Genetic Information for Management and Selection of Feedlot Cattle

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  • Thompson, Nathanael M.
  • DeVuyst, Eric A.
  • Brorsen, B. Wade
  • Lusk, Jayson L.

Abstract

We estimate the value of using information from genetic marker panels for seven economically relevant feedlot cattle traits. The values of using genetic information to sort cattle by optimal days-on-feed are less than $1/head for each of the traits evaluated. However, the values associated with using genetic information to select cattle for placement are as much as $38/head. The most economically relevant genetic traits are average daily gain and marbling. It would not be profitable at the current testing cost of $38/head to sort cattle by optimal days-on-feed, but it could be profitable to use the genetic tests for breeding cattle selection.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:jlaare:168264
    DOI: 10.22004/ag.econ.168264
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    References listed on IDEAS

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    9. Jay Mitchell & Eric A. DeVuyst & Marc L. Bauer & Daniel L. Larson, 2009. "Cow‐calf profitability and leptin genotyping," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 113-118, January.
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    Cited by:

    1. Thompson, Nathanael M. & Brorsen, B. Wade & DeVuyst, Eric A. & Lusk, Jayson L., 2016. "Random Sampling of Beef Cattle for Genetic Testing: Optimal Sample Size Determination," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229195, Southern Agricultural Economics Association.
    2. Ibragimov, Timur & Bastian, Christopher & Hansen, Kristiana & Paisley, Steven & Ballenger, Nicole, 2020. "Potential for Genomics to Improve Feed Efficiency and Ranch Profitability," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2020.
    3. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2016. "Using Genetic Testing to Improve Fed Cattle Marketing Decisions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    4. Maples, Joshua G. & Lusk, Jayson L. & Peel, Derrell S., 2019. "Technology and evolving supply chains in the beef and pork industries," Food Policy, Elsevier, vol. 83(C), pages 346-354.
    5. Popp, Michael P. & Crystal, Josh C. & Tester, Colson A. & Gbur, Edward E. & Rosenkrans, Charles F., 2020. "Economic evaluation of genetic markers for cow-calf operations differentiated by forage type and breed," Agricultural Systems, Elsevier, vol. 177(C).

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