THE EXPECTED VALUE OF GENETIC INFORMATION IN LIVESTOCK FEEDING

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 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.


Issue Date:
2006
Publication Type:
Report
PURL Identifier:
http://purl.umn.edu/23609
Total Pages:
15
Series Statement:
Agribusiness & Applied Economics Report No. 576




 Record created 2017-04-01, last modified 2017-08-24

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)