Changing Australia's trading language has enhanced the implementation of objective carcase measurement technologies.

Autor: Gardner GE; Advanced Livestock Measurement Technologies (ALMTech), Food Futures Institute, Murdoch University, Western Australia 6150, Australia. Electronic address: g.gardner@murdoch.edu.au., Calnan HB; Advanced Livestock Measurement Technologies (ALMTech), Food Futures Institute, Murdoch University, Western Australia 6150, Australia., Connaughton SL; Advanced Livestock Measurement Technologies (ALMTech), Food Futures Institute, Murdoch University, Western Australia 6150, Australia., Stewart SM; Advanced Livestock Measurement Technologies (ALMTech), Food Futures Institute, Murdoch University, Western Australia 6150, Australia., Mc Gilchrist P; University of New England, School of Environmental and Rural Sciences, Armidale, NSW 2350, Australia., Steele C; University of New England, School of Environmental and Rural Sciences, Armidale, NSW 2350, Australia., Brown DJ; AGBU, A Joint Venture of NSW Department of Primary Industries and University of New England, 2351 Armidale, Australia., Pitchford WS; Davies Livestock Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, Campus, SA 5371, Australia., Pethick DW; Advanced Livestock Measurement Technologies (ALMTech), Food Futures Institute, Murdoch University, Western Australia 6150, Australia., Marimuthu J; Advanced Livestock Measurement Technologies (ALMTech), Food Futures Institute, Murdoch University, Western Australia 6150, Australia., Apps R; Meat and Livestock Australia, North Sydney, NSW 2060, Australia.
Jazyk: angličtina
Zdroj: Meat science [Meat Sci] 2025 Jan; Vol. 219, pp. 109625. Date of Electronic Publication: 2024 Aug 23.
DOI: 10.1016/j.meatsci.2024.109625
Abstrakt: In 2016 an Australian project, the Advanced Livestock Measurement Technologies project (ALMTech), was initiated to accelerate the development and implementation of technologies that measure lean meat yield and eating quality. This led to the commercial testing, and implementation of a range of new technologies in the lamb, beef, and pork industries. For measuring lean meat yield %, these technologies included dual energy X-ray absorptiometry, hand-held microwave systems, and 3-D imaging systems. For measuring beef rib-eye traits and intramuscular fat %, both pre- and post-chilling technologies were developed. Post-chilling, a range of camera systems and near infrared spectrophotometers were developed. While pre-chilling, technologies included insertable needle probes, nuclear magnetic resonance, and X-ray systems. Initially these technologies were trained to predict the pre-existing traits already traded upon within industry. However, this approach was limiting because the technologies could measure attributes that were either non-existent in the trading language, were superior as calibrating standards, or more accurately reflected value than the pre-existing trait. Therefore, we introduced IMF% into the trading language for both beef and sheep meat, and carcase lean%, fat%, and bone% for sheep meat. These new technologies and the traits that they predict have delivered multiple benefits. Technology provider-companies are instilled with the confidence to commercialise due to the provision of achievable accreditation standards. Processors have the confidence to invest in these technologies and establish payment grids based upon their measurements. And lastly, it has enhanced data flow into genetic databases, industry data systems (MSA), and as feedback to producers.
Competing Interests: Declaration of competing interest None.
(Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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