The expected utility of genetic information in beef cattle production

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.

[1]  F. Collins,et al.  The Human Genome Project: Lessons from Large-Scale Biology , 2003, Science.

[2]  Rodney D. Jones,et al.  Estimating the Economic Value of Specific Characteristics Associated with Angus Bulls Sold at Auction , 2008, Journal of Agricultural and Applied Economics.

[3]  Bruce A. McCarl,et al.  ESTIMATING AN UPPER BOUND ON THE PRATT RISK A VERSION COEFFICIENT WHEN THE UTILITY FUNCTION IS UNKNOWN , 1989 .

[4]  J. Lusk Economic Value of Selecting and Marketing Cattle by Leptin Genotype , 2007 .

[5]  B. Babcock,et al.  Genetic Information in Agricultural Productivity and Product Development , 2004 .

[6]  Harvey E. Lapan,et al.  Roundup ready® soybeans and welfare effects in the soybean complex , 2000 .

[7]  Frank S. Conklin,et al.  The Value of Frost Forecasting: A Bayesian Appraisal , 1976 .

[8]  Myles J. Watts,et al.  Transaction Costs and Cattle Marketing: The Information Content of Seller‐Provided Presale Data at Bull Auctions , 2001 .

[9]  Bruce A. McCarl,et al.  Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility Function , 1985 .

[10]  D. M. Larson,et al.  An Economic Analysis Of Genetic Information: Leptin Genotyping In Fed Cattle , 2006 .

[11]  T. Schroeder,et al.  DETERMINANTS OF PUREBRED BEEF BULL PRICE DIFFERENTIALS , 1996 .

[12]  G. Ladd,et al.  Microeconomics of Technical Change: What's a Better Animal Worth? , 1978 .

[13]  K. Houseknecht,et al.  The biology of leptin: a review. , 1998, Journal of animal science.

[14]  Colin N. Dewey,et al.  Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution , 2004, Nature.

[15]  George W. Ladd,et al.  Prices and Demands for Input Characteristics , 1976 .

[16]  Bruce A. Babcock,et al.  Value of Weather Information in Market Equilibrium (The) , 1990 .

[17]  David A. Hennessy,et al.  Informed Control Over Inputs and Extent of Industrial Processing , 2007 .

[18]  S. Buccola,et al.  Hedonic Cost Models and the Pricing of Milk Components , 1997 .

[19]  J. Dillon,et al.  Risk analysis in dryland farming systems , 1992 .

[20]  D. Lambert,et al.  Valuing Varieties with Imperfect Output Quality Measurement , 2003 .

[21]  Myles J. Watts,et al.  Carcass Quality and Genetic Selection in the Beef Industry , 2008 .