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Economic Value of Selecting and Marketing Cattle by Leptin Genotype

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  • Lusk, Jayson L.

Abstract

Recent research has identified genetic diversity in the ability of animals to manufacture and recognize leptin, a protein that regulated appetite and weight. This paper determines the economic value of using information on leptin genotype to select and manage beef cattle. Results reveal that the economic value of using genotypic information to sort cattle by optimal endpoint is only about $2/head for steers and $1/head for heifers; however, the value of using genotypic information to optimally select and feed only certain genotypes is $23/head for steers and $28/head for heifers. The difference in per head profit between the best and worst performing genotype is over $28 on the date the cattle were actually marketed and increases to $60 if each genotype is optimally marketed.

Suggested Citation

  • 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(02), August.
  • Handle: RePEc:ags:jlaare:8641
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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.
    2. 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.
    3. 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.
    4. 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.
    5. 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), December.
    6. Fausti, Scott W. & Diersen, Matthew A. & Qasmi, Bashir A. & Li, Jing, 2009. "Value-Based Marketing: A Dsicussion of Issues and Trends in the Slaughter Cattle Market," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 28(2).
    7. Lambert, David K., 2008. "The expected utility of genetic information in beef cattle production," Agricultural Systems, Elsevier, vol. 99(1), pages 44-52, December.
    8. 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.
    9. 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.

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