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Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Data capture through Australian beef cattle and meat sheep value chains: opportunities for enhanced feedback to commercial producers

S. Z. Y. Guy A B C , D. J. Brown A B and R. G. Banks A B
+ Author Affiliations
- Author Affiliations

A Animal Genetics and Breeding Unit, a joint venture between The University of New England and NSW Department of Primary Industries, Armidale, NSW 2351, Australia.

B Advanced Livestock Measurement Technologies Project, Meat & Livestock Australia, North Sydney, NSW 2060, Australia.

C Corresponding author. Email: Sarita.Guy@une.edu.au

Animal Production Science 58(8) 1497-1503 https://doi.org/10.1071/AN17807
Submitted: 13 November 2017  Accepted: 19 March 2018   Published: 23 April 2018

Abstract

Technologies for capturing and transmitting data from different points in livestock value chains are developing very rapidly, and interest is growing in how best to use such technologies. While new data-capture technology comes with the promise of producers and others being more informed about a system, what usually results is large and complex datasets. A key challenge is to make use of the data or information. The present paper initially outlines the data-capture points and flow of information that occurs throughout the Australian beef cattle and meat sheep value chain. The avenues through which feedback can be delivered to commercial producers are briefly summarised, along with the value of this feedback and the factors that affect its value. Finally, practical principles for effective feedback systems are provided. While data capture is occurring throughout the value chain, the main focus of the paper is on carcass- and eating-quality feedback from processors to commercial producers. There is significant variation in the volume, nature and quality of data collected, and also the flow of information among members of the chain. Further, there appears to be an inconsistency in the levels of demand or desire for the feedback. The value of feedback ultimately depends on the producer’s ability to make better business decisions as a result of having that data or information. Increasing market specifications and compliance will result in greater profitability for the producer, as well as processor. The value of feedback also depends on several other factors, including its accuracy, its granularity, whether or not it can be connected to other data, and what options the producer has to use that information in the future. Feedback must be interpretable and enable better business decisions. The value of feedback will also increase if extended further upstream along the supply chain for genetic evaluation, provided there is enough information on genetically informed animals and their identifications can be tracked across the supply chain. For efficient feedback systems, every member in the chain needs to see value in the feedback, and there needs to be a mutual commitment and shared vision between all value-chain partners. Further, feedback must be provided in an efficient and practical manner, so as to increase the willingness of the information providers to deliver the feedback. Producers should be involved in any attempts to enhance feedback systems. Since there is variability in the needs, wants and capabilities of processors and producers, multiple dynamic and flexible feedback systems are required. An incentive to enhance feedback systems is to provide a value proposition by calculating the monetary value of the feedback to all members of the chain. Better objective measurements and Meat Standards Australia for lamb is likely to also contribute to better feedback value propositions. Communication and fostering of relationships among supply-chain members will always remain critical. While data permissions add a complication to information sharing across the chain, benefits can be gained by not only the commercial producer, but the entire industry.

Additional keywords: feedback systems, information sharing, livestock value chains, supply chain.


References

Animal Health Australia (2017) ‘National Sheep Health Monitoring Project.’ Available at https://www.animalhealthaustralia.com.au/what-we-do/disease-surveillance/national-sheep-health-monitoring-program/ [Verified October 2017]

Animal Health Australia (2018) ‘National arbovirus monitoring program.’ Available at https://www.animalhealthaustralia.com.au/what-we-do/disease-surveillance/national-arbovirus-monitoring-program/ [Verified March 2018]

AUS-MEAT Limited (2016a) ‘Handbook of Australian beef processing. The AUS-MEAT language. Version 3.’ (AUS-Meat Ltd: Murarrie, Qld)

AUS-MEAT Limited (2016b) ‘Handbook of Australian sheepmeat processing. The AUS-MEAT language. Version 2.’ (AUS-Meat Ltd: Murarrie, Qld)

AUS-MEAT Limited (2018) ‘AUS-MEAT accredited search.’ Available at https://www.ausmeat.com.au/links-tools/accreditation-search/ [Verified March 2018]

Biosecurity SA PIRSA (2017) FACT SHEET: enhanced abattoir surveillance, September 2017. Available at http://www.pir.sa.gov.au/__data/assets/pdf_file/0004/296437/EAS_Fact_Sheet_SEP2017.pdf [Verified March 2018]

Bowler, D (2014) Strategic review of technologies for information management through supply chains. Final report for MLA Project code B.SCC.0176. Meat and Livestock Australia, Sydney, NSW.

BREEDPLAN (2016) ‘A guide to performance recording information.’ Available at http://breedplan.une.edu.au/booklets/A%20Guide%20to%20Recording%20Performance%20%28Complete%29.pdf [Verified November 2017]

Brown DJ, Pethick DW, McGilchrist P, Ruberg CK, Pitchford WS, Apps R, Gardner GE (2017) ‘Objective carcass measurement to improve lean meat yield and eating quality in Australian beef, sheep and pork, International Committee for Animal Recording (ICAR) annual conference 2017’, 12–16 June 2017, Edinburgh, UK.

Collison CE, Brown DJ, Gill JS, Chandler HR, Apps R, Swan AA, Banks RG (2018) ‘A decade of sheep genetics: what have we achieved? World congress on genetics applied to livestock production’, 11–16 February 2018, Auckland, New Zealand.

Devitt C, Boyle L, Teixeira DL, O’Connell NE, Hawe M, Hanlon A (2016) Pig producer perspectives on the use of meat inspection as an animal health and welfare diagnostic tool in the Republic of Ireland and Northern Ireland. Irish Veterinary Journal 69, 2
Pig producer perspectives on the use of meat inspection as an animal health and welfare diagnostic tool in the Republic of Ireland and Northern Ireland.Crossref | GoogleScholarGoogle Scholar |

Fischer C, Hartmann M, Reynolds N, Leat P, Revoredo-Giha C, Henchion M, Garcia A (2008) ‘Agric.-food chain relationships in Europe: empirical evidence of implications for sector competitiveness, 12th congress of the European Association of Agricultural Economists (EAAE)’, 26–28 August 2008, Gent, Belgium.

GHD Pty Ltd (2011) Cost benefits of e-surveillance system for animal health monitoring. MLA final report. Project code P.PIP.0196. Meat and Livestock Australia, Sydney, NSW.

Goers, H, Craig, P (2008) Sheep feedback systems. Final report for MLA project V.MSL.0001. Meat and Livestock Australia, Sydney, NSW.

Green, P, Johnston, K, Fischer, S (2017) Review of livestock data link. Draft final report for MLA project code V.LDL.1702. Meat and Livestock Australia, Sydney, NSW.

Gunia M, David I, Hurtaud J, Maupin M, Gilbert H, Garreau H (2015) Resistance to infectious diseases is a heritable trait in rabbits. Journal of Animal Science 93, 5631–5638.
Resistance to infectious diseases is a heritable trait in rabbits.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28XptFWkt7g%3D&md5=5e5ccfdf2d876ecf74f1f291edf114d7CAS |

Hobbs JE, Kerr WA, Klein KK (1998) Creating international competitiveness through supply chain management: Danish pork. Supply Chain Management 3, 68–78.
Creating international competitiveness through supply chain management: Danish pork.Crossref | GoogleScholarGoogle Scholar |

Irish Cattle Breeding Federation (2013) ‘ICBF database & management reporting.’ Available at https://www.icbf.com/wp/wp-content/uploads/2013/06/ICBF-Database-Management-Reporting-1.pdf [Verified November 2017]

Li S, Lin B (2006) Accessing information sharing and information quality in supply chain management. Decision Support Systems 42, 1641–1656.
Accessing information sharing and information quality in supply chain management.Crossref | GoogleScholarGoogle Scholar |

Mathur PK, Vogelzang R, Mulder HA, Knol EF (2018) Genetic selection to enhance animal welfare using meat inspection data from slaughter plants. Animals (Basel) 8, 16
Genetic selection to enhance animal welfare using meat inspection data from slaughter plants.Crossref | GoogleScholarGoogle Scholar |

Meat and Livestock Australia (2016a) ‘About MLA’s market information service.’ Available at https://www.mla.com.au/prices-markets/about-the-national-livestock-reporting-service/ [Verified November 2017]

Meat and Livestock Australia (2016b) ‘Livestock data link.’ Available at https://www.mla.com.au/research-and-development/livestock-data-link/ [Verified November 2017]

Meat and Livestock Australia (2018) ‘MSA members: plant.’ Available at https://www.mla.com.au/globalassets/rptmember_licensestatus_web_plants-feb-2018.pdf [Verified March 2018]

National Livestock Identification System (2014) ‘Tech tips NLIS database: carcase feedback query.’ Available at https://www.nlis.com.au/NLISDocuments/CFB%20query%20(Jun%2014).pdf [Verified October 2017]

Perkins N (2013) Animal health survey of the Australian feedlot industry (2010). Final report for MLA project code P.PSH.0547. Meat and Livestock Australia, Sydney, NSW.

Polkinghorne R, Thompson JM, Watson R, Gee A, Porter M (2008) Evolution of the Meat Standards Australia (MSA) beef grading system. Australian Journal of Experimental Agriculture 48, 1351–1359.
Evolution of the Meat Standards Australia (MSA) beef grading system.Crossref | GoogleScholarGoogle Scholar |

ProAnd Associates Australia (2012) Livestock data link: analysis of benefits for processing sector. Final report for MLA project code V.LDL.1205. Meat and Livestock Australia, Sydney, NSW.

Sheep Genetics (2005) ‘SGA breeder’s quality assurance manual.’ Available at http://www.sheepgenetics.org.au/Getting-started/QA-guidelines [Verified November 2017]

Williams S, Pattison R, Hall D (2013) Red Meat Co-Investment Committee: Lamb supply chain & animal information RD&E plan. Final report by the Red Meat Co-investment Partners for MLA project code B.LSM.0029. Meat and Livestock Australia, Sydney, NSW.