Modelling Agricultural Systems: Applications to Livestock Breeding
Traditionally the evaluation of animal genetic traits has focused primarily on production traits and the construction of selection indices. Selection indices, however, fail to consider the effect of management practices and the environment on productivity. Non-production traits are either under-valued or not valued at all. Given the changing demands placed on agriculture and the increased understanding of the effects of agriculture on the environment, this approach can be considered myopic. While techniques are available to link economic and biophysical/environmental models, little has been applied in the context of genetic trait evaluation. This paper therefore explores the potential for integration and the development of methods that capture not only breeding objectives, but also non-production traits. Such an approach should provide greater understanding of the implications of breeding choices and reflect not only the interests of farmers, but of society as a whole.
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- Antle, John M. & Capalbo, Susan Marie, 2000.
"Econometric-Process Models For Integrated Assessment Of Agricultural Production Systems,"
Trade Research Center Research Discussion Papers
29234, Montana State University, Department of Agricultural Economics and Economics.
- John M. Antle & Susan M. Capalbo, 2001. "Econometric-Process Models for Integrated Assessment of Agricultural Production Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 389-401.
- Scarpa, Riccardo & Ruto, Eric S. K. & Kristjanson, Patti & Radeny, Maren & Drucker, Adam G. & Rege, John E. O., 2003. "Valuing indigenous cattle breeds in Kenya: an empirical comparison of stated and revealed preference value estimates," Ecological Economics, Elsevier, vol. 45(3), pages 409-426, July.
- Mark Neal & Bill Fulkerson, 2006. "'One size fits all'? Ð The relationship between the value of genetic traits and the farm system," Murray-Darling Program Working Papers WP1M06, Risk and Sustainable Management Group, University of Queensland.
- Robert K. Kaufmann & Seth E. Snell, 1997. "A Biophysical Model of Corn Yield: Integrating Climatic and Social Determinants," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 178-190.
- Swinton, Scott M. & Black, J. Roy, 2000. "Modeling Of Agricultural Systems," Staff Papers 11581, Michigan State University, Department of Agricultural, Food, and Resource Economics.
- A. W. Stott, 1994. "The Economic Advantage Of Longevity In The Dairy Cow," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(1), pages 113-122.
- Drucker, Adam G. & Gomez, Veronica & Anderson, Simon, 2001. "The economic valuation of farm animal genetic resources: a survey of available methods," Ecological Economics, Elsevier, vol. 36(1), pages 1-18, January.
- Scarpa, Riccardo & Drucker, Adam G. & Anderson, Simon & Ferraes-Ehuan, Nancy & Gomez, Veronica & Risopatron, Carlos R. & Rubio-Leonel, Olga, 2003. "Valuing genetic resources in peasant economies: the case of 'hairless' creole pigs in Yucatan," Ecological Economics, Elsevier, vol. 45(3), pages 427-443, July.
- Barbier, Bruno & Bergeron, Gilles, 1998. "Natural resource management in the hillsides of Honduras: bioeconomic modeling at the micro-watershed level," EPTD discussion papers 32, International Food Policy Research Institute (IFPRI).
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