An Economic Analysis of Genetic Information: Leptin Genotyping in Fed Cattle
AbstractA 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.
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Bibliographic InfoArticle provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.
Volume (Year): 32 (2007)
Issue (Month): 02 (August)
beef cattle; genetics; leptin genotype; value of information; Livestock Production/Industries;
Other versions of this item:
- Bullinger, Jared R. & DeVuyst, Eric A. & Bauer, Marc L. & Berg, Paul T. & Larson, Daniel M., 2006. "An Economic Analysis Of Genetic Information: Leptin Genotyping In Fed Cattle," Agribusiness & Applied Economics Report 23599, North Dakota State University, Department of Agribusiness and Applied Economics.
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- 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(02).
- 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.
- Lambert, David K., 2008. "The expected utility of genetic information in beef cattle production," Agricultural Systems, Elsevier, vol. 99(1), pages 44-52, December.
- 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.
- 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.
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