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The expected utility of genetic information in beef cattle production

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  • Lambert, David K.

Abstract

Scientific inquiry is increasing our knowledge of plant and animal genomics. The ability to specify heterogeneous production processes, to sort agricultural inputs by genotype, or to guide breeding programs to satisfy specific markets based on genetic expression may increase producer and consumer benefits. This research develops a decision analysis framework to assess the expected value of genetic information under risk aversion. Expected utilities are evaluated both with and without genetic trait information. Potential gains in the value of information can be quantified as research unravels the linkages between genetics and crop and animal performance and quality. An application to cattle feeding indicates potential gains to developing markets for specific animal genetic characteristics based on the amino acid sequence of the leptin gene.

Suggested Citation

  • Lambert, David K., 2008. "The expected utility of genetic information in beef cattle production," Agricultural Systems, Elsevier, vol. 99(1), pages 44-52, December.
    • Handle: RePEc:eee:agisys:v:99:y:2008:i:1:p:44-52
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    1. Dhuyvetter, Kevin C. & Schroeder, Ted C. & Simms, Danny D. & Bolze, Ronald P., Jr. & Geske, Jeremy, 1996. "Determinants Of Purebred Beef Bull Price Differentials," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-15, December.
    2. McCarl, Bruce A. & Bessler, David A., 1989. "Estimating An Upper Bound On The Pratt Risk A Version Coefficient When The Utility Function Is Unknown," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 33(01), pages 1-8, April.
    3. Giancarlo Moschini & Harvey Lapan & Andrei Sobolevsky, 2000. "Roundup ready® soybeans and welfare effects in the soybean complex," Agribusiness, John Wiley & Sons, Ltd., vol. 16(1), pages 33-55.
    4. 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.
    5. George W. Ladd & Marvin B. Martin, 1976. "Prices and Demands for Input Characteristics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(1), pages 21-30.
    6. David A. Hennessy & John A. Miranowski & Bruce A. Babcock, 2004. "Genetic Information in Agricultural Productivity and Product Development," American Journal of Agricultural Economics, John Wiley & Sons, vol. 86(1), pages 73-87, February.
    7. repec:cup:jagaec:v:40:y:2008:i:1:p:315-333_17 is not listed on IDEAS
    8. David K. Lambert & Bruce A. McCarl, 1985. "Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 846-852.
    9. Jones, Rodney D. & Turner, Tyler & Dhuyvetter, Kevin C. & Marsh, Thomas L., 2008. "Estimating the Economic Value of Specific Characteristics Associated with Angus Bulls Sold at Auction," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(01), pages 1-19, April.
    10. 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.
    11. Hennessy, David A., 2007. "Informed control over inputs and extent of industrial processing," Economics Letters, Elsevier, vol. 94(3), pages 372-377, March.
    12. Vanek, Joseph K. & Watts, Myles J. & Brester, Gary W., 2008. "Carcass Quality and Genetic Selection in the Beef Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-15.
    13. Jan Chvosta & Randal R. Rucker & Myles J. Watts, 2001. "Transaction Costs and Cattle Marketing: The Information Content of Seller-Provided Presale Data at Bull Auctions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 286-301.
    14. Steven Buccola & Yoko Iizuka, 1997. "Hedonic Cost Models and the Pricing of Milk Components," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 452-462.
    15. 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.
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    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. 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.
    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. Schroeder, Ted C., 2025. "Agricultural Economics Research as Cattle and Beef Markets Ascended from Demise," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 50(4), December.
    5. 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.
    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(01), pages 1-17, April.

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