Optimising the allocation of beef cattle to market endpoints

Bradley J Walmsley; Cedric Gondro; Julius Herman Van Der Werf; Brian Kinghorn

Optimising the allocation of beef cattle to market endpoints

Bradley J Walmsley
, Cedric Gondro
, Julius Herman Van Der Werf
, Brian Kinghorn

School of Environmental & Rural Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the Association for the Advancement of Animal Breeding and Genetics
Editors	AAABG: Association for the Advancement of Animal Breeding, Genetics
Place of Publication	Armidale, Australia
Publisher	Association for the Advancement of Animal Breeding and Genetics (AAABG)
Pages	292-295
Volume	17
ISBN (Print)	1921208139
Publication status	Published - 2007
Event	AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics - University of New England, Armidale, Australia Duration: 23 Sept 2007 → 26 Sept 2007

Conference

Conference	AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics
City	Armidale, Australia
Period	23/09/07 → 26/09/07

Keywords

Neural, Evolutionary and Fuzzy Computation

Access to Document

https://hdl.handle.net/1959.11/4104

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Cite this

Walmsley, B. J., Gondro, C., Van Der Werf, J. H., & Kinghorn, B. (2007). Optimising the allocation of beef cattle to market endpoints. In AAABG. Association for the Advancement of Animal Breeding, & Genetics (Eds.), Proceedings of the Association for the Advancement of Animal Breeding and Genetics (Vol. 17, pp. 292-295). Association for the Advancement of Animal Breeding and Genetics (AAABG). https://hdl.handle.net/1959.11/4104

Walmsley, Bradley J ; Gondro, Cedric ; Van Der Werf, Julius Herman et al. / Optimising the allocation of beef cattle to market endpoints. Proceedings of the Association for the Advancement of Animal Breeding and Genetics. editor / AAABG: Association for the Advancement of Animal Breeding ; Genetics. Vol. 17 Armidale, Australia : Association for the Advancement of Animal Breeding and Genetics (AAABG), 2007. pp. 292-295

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title = "Optimising the allocation of beef cattle to market endpoints",

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.",

keywords = "Neural, Evolutionary and Fuzzy Computation",

author = "Walmsley, \{Bradley J\} and Cedric Gondro and \{Van Der Werf\}, \{Julius Herman\} and Brian Kinghorn",

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volume = "17",

pages = "292--295",

editor = "\{Association for the Advancement of Animal Breeding\}, AAABG: and Genetics",

booktitle = "Proceedings of the Association for the Advancement of Animal Breeding and Genetics",

publisher = "Association for the Advancement of Animal Breeding and Genetics (AAABG)",

note = "AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics ; Conference date: 23-09-2007 Through 26-09-2007",

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Walmsley, BJ, Gondro, C, Van Der Werf, JH & Kinghorn, B 2007, Optimising the allocation of beef cattle to market endpoints. in AAABG Association for the Advancement of Animal Breeding & Genetics (eds), Proceedings of the Association for the Advancement of Animal Breeding and Genetics. vol. 17, Association for the Advancement of Animal Breeding and Genetics (AAABG), Armidale, Australia, pp. 292-295, AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 23/09/07. <https://hdl.handle.net/1959.11/4104>

Optimising the allocation of beef cattle to market endpoints. / Walmsley, Bradley J; Gondro, Cedric; Van Der Werf, Julius Herman et al.
Proceedings of the Association for the Advancement of Animal Breeding and Genetics. ed. / AAABG: Association for the Advancement of Animal Breeding; Genetics. Vol. 17 Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG), 2007. p. 292-295.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

KW - Neural, Evolutionary and Fuzzy Computation

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Walmsley BJ, Gondro C, Van Der Werf JH, Kinghorn B. Optimising the allocation of beef cattle to market endpoints. In Association for the Advancement of Animal Breeding AAABG, Genetics, editors, Proceedings of the Association for the Advancement of Animal Breeding and Genetics. Vol. 17. Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG). 2007. p. 292-295

Optimising the allocation of beef cattle to market endpoints

Abstract

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Keywords

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