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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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    1. Bruce A. Babcock, 1990. "The Value of Weather Information in Market Equilibrium," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 63-72.
    2. 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.
    3. Lambert, David K., 2008. "The expected utility of genetic information in beef cattle production," Agricultural Systems, Elsevier, vol. 99(1), pages 44-52, December.
    4. David J. Pannell, 2006. "Flat Earth Economics: The Far-reaching Consequences of Flat Payoff Functions in Economic Decision Making," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(4), pages 553-566.
    5. 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.
    6. Lusk, Jayson L., 2007. "Economic Value of Selecting and Marketing Cattle by Leptin Genotype," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(2), pages 1-24, August.
    7. DeVuyst, Eric A. & Bullinger, Jared R. & Bauer, Marc L. & Berg, Paul T. & Larson, Daniel M., 2007. "An Economic Analysis of Genetic Information: Leptin Genotyping in Fed Cattle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(2), pages 1-15, August.
    8. John A. Miranowski & Bruce A. Babcock, 2004. "Genetic Information in Agricultural Productivity and Product Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 73-87.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    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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