Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4104
Title: Optimising the allocation of beef cattle to market endpoints
Contributor(s): Walmsley, Bradley J (author); Gondro, Cedric  (author)orcid ; Van Der Werf, Julius Herman  (author)orcid ; Kinghorn, Brian  (author)
Publication Date: 2007
Handle Link: https://hdl.handle.net/1959.11/4104
Abstract: The diversity of the markets available to Australian beef cattle production systems offers the opportunity to utilise variation in growth potential to improve efficiency. The optimisation algorithm - Differential Evolution, used an extension of the Random Keys Representation to optimise the allocation of animals from a cohort to different market endpoints with the objective of maximising profit in a simulated production system. The drafting system was found to react sensibly to changes in the prevailing production system. When the value of the Japanese B3 market was reduced, more animals were allocated to the Heavy Supermarket and European Union markets. When drought conditions were simulated fewer animals were allocated to the grass-fed European Union market.
Publication Type: Conference Publication
Conference Name: Genetic Improvement - Making it Happen, University of New England, Armidale, NSW, Australia, September 23 - September 26 2007
Conference Details: Genetic Improvement - Making it Happen, University of New England, Armidale, NSW, Australia, September 23 - September 26 2007
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, p. 292-295
Publisher: AAABG: Association for the Advancement of Animal Breeding and Genetics
Place of Publication: Armidale, NSW, Australia
Field of Research (FOR): 080108 Neural, Evolutionary and Fuzzy Computation
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://trove.nla.gov.au/work/35062558?selectedversion=NBD42373479
http://www.aaabg.org/livestocklibrary/2007/walmsley292.pdf
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