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An Economic Analysis of Genetic Information: Leptin Genotyping in Fed Cattle

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  • DeVuyst, Eric A.
  • Bullinger, Jared R.
  • Bauer, Marc L.
  • Berg, Paul T.
  • Larson, Daniel M.

Abstract

A polymorphism in the leptin gene is associated with fat deposition. Since fed cattle are often priced on a grid that considers yield and quality grades, fat deposition is an important factor in profitability. Using data from 590 crossbred steers and heifers, we simulate carcass traits to various days-on-feed and compute the associated profit under three price grids. Results indicate that leptin genotype does affect value by as much as $48 per head but has little impact on days-on-feed. Given current commercial testing fees of $40-$50 per sample, genotyping of feeder cattle appears to break even at best.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:jlaare:8644
    DOI: 10.22004/ag.econ.8644
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    Cited by:

    1. Parcell, Joseph L. & Franken, Jason R.V. & Schafer, Daniel & Patterson, David J. & John, Mike & Kerley, Monty S. & Haden, Kent, 2011. "Coordinating Sire Genetics in a Synchronized AI Program," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2011, pages 1-12, June.
    2. Scott W. Fausti & Zhiguang Wang & Bashir A. Qasmi & Matthew A. Diersen, 2014. "Risk and marketing behavior: pricing fed cattle on a grid," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 601-612, September.
    3. 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.
    4. 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.
    5. Parcell, Joseph L. & Schaefer, Daniel & Patterson, David J. & John, Mike & Kerley, Monty S. & Haden, Kent, 2008. "Assessing the Value of Coordinated Sire Genetics in a Synchronized AI Program," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37618, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    6. 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.
    7. Belasco, Eric J., 2008. "The Role of Price Risk Management in Mitigating Fed Cattle Profit Exposure," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-17.
    8. Janzen, Matthew & Coatney, Kalyn T. & Rivera, Daniel & Harri, Ardian & Riley, John Michael & Busby, Darrell & Groves, Matt, "undated". "Fed Cattle Marketing: A Field Experiment," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252844, Southern Agricultural Economics Association.
    9. DeVuyst, Eric A. & Lambert, David K. & Bauer, Marc L., 2007. "Genotyping: What Applied Economists Should Know," Western Economics Forum, Western Agricultural Economics Association, vol. 6(2), pages 1-11.
    10. Lambert, David K., 2008. "The expected utility of genetic information in beef cattle production," Agricultural Systems, Elsevier, vol. 99(1), pages 44-52, December.
    11. 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.
    12. 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.
    13. 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.

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    Keywords

    Livestock Production/Industries;

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