The Expected Value Of Genetic Information In Livestock Feeding
AbstractScientific 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 potentially increase producer and consumer benefits. This research develops a decision analysis framework to assess the expected value of genetic information. Expected returns are evaluated both in the presence of, 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.
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Bibliographic InfoPaper provided by North Dakota State University, Department of Agribusiness and Applied Economics in its series Agribusiness & Applied Economics Report with number 23609.
Date of creation: 2006
Date of revision:
Value of information; genetics; livestock; Livestock Production/Industries;
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- 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.
- 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.
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