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RESEARCH ARTICLE

Genetics research in the Cooperative Research Centre for Cattle and Beef Quality

H. M. Burrow A B and B. M. Bindon A
+ Author Affiliations
- Author Affiliations

A Cooperative Research Centre for Cattle and Beef Quality, CSIRO Livestock Industries, CJ Hawkins Homestead, University of New England, Armidale, NSW 2351, Australia.

B Corresponding author. Email: Heather.Burrow@une.edu.au

Australian Journal of Experimental Agriculture 45(8) 941-957 https://doi.org/10.1071/EA05069
Submitted: 8 March 2005  Accepted: 20 April 2005   Published: 26 August 2005

Abstract

In its first 7-year term, the Cooperative Research Centre (CRC) for the Cattle and Beef Industry (Meat Quality) identified the genetic and non-genetic factors that impacted on beef eating quality. Following this, the CRC for Cattle and Beef Quality was established in 1999 to identify the consequences of improving beef eating quality and feed efficiency by genetic and non-genetic means on traits other than carcass and beef quality. The new CRC also had the responsibility to incorporate results from the first Beef CRC in national schemes such as BREEDPLAN (Australia’s beef genetic evaluation scheme) and Meat Standards Australia (Australia’s unique meat grading scheme that guarantees the eating quality of beef). This paper describes the integrated research programs and their results involving molecular and quantitative genetics, meat science, growth and nutrition and industry economics in the Beef CRC’s second phase (1999–2006) and the rationale for the individual genetics programs established. It summarises the planned scientific and beef industry outcomes from each of these programs and also describes the development and/or refinement by CRC scientists of novel technologies targeting increased genetic gains through enhanced measurement and recording in beef industry herds, thereby ensuring industry use of CRC results.

Additional keywords: adaptation, bioinformatics, carcass and beef quality, cow fertility, experimental design, feed efficiency, gene discovery, gene expression, quantitative genetics, quantitative trait loci (QTL) detection.


Acknowledgments

The authors acknowledge all professional and support staff of the current and previous Beef CRCs, numerous beef industry organisations and corporate and individual beef producers throughout Australia and also Meat and Livestock Australia and the Australian Centre for International Agricultural Research for their very significant contributions to the conduct and resourcing of the Beef CRC’s programs over the past 12 years.


References


Archer JA, Reverter A, Herd RM, Arthur PF, Johnston DJ (2002) Genetic variation in feed intake and efficiency of mature beef cows and relationships with postweaning measurements. In ‘Proceedings of the 7th world congress on genetics applied to livestock production’. Communication No. 10-07.

Arthur PF (1995) Double muscling in cattle: a review. Australian Journal of Agricultural Research 46, 1493–1515.
Crossref | GoogleScholarGoogle Scholar | (verified 19 May 2005).

Farquharson RJ, Griffith GR, Barwick SA, Banks RG, Holmes WE (2003) Estimating the returns from past investment into beef cattle genetic technologies in Australia. Economics Research Report No. 15, NSW Agriculture, Armidale. Available online at: http://www.agric.nsw.gov.au/reader/economics-research-reports/ (ERR-15; verified 11 August 2005).

Fenton ML (2004) Genomics of feed efficiency. PhD Thesis, The University of Adelaide, Adelaide, South Australia.

Fitzsimmons CJ, Schmutz SM, Bergen RD, McKinnon JJ (1998) A potential association between the BM 1500 microsatellite and fat deposition in beef cattle. Mammalian Genome 9, 432–434.
Crossref | GoogleScholarGoogle Scholar | PubMed | (verified 11 August 2005).

Goddard ME (1991) Mapping genes for quantitative traits using linkage disequilibrium. Genetics, Selection, Evolution. 23, 131–134. (verified 11 August 2005).

Newman S, Burrow HM, Shepherd RK, Bindon BM (1999a) Carcass yield traits of grass- and grain-finished Brahman crosses for domestic and export markets. Proceedings of the Association for the Advancement of Animal Breeding and Genetics 13, 231–234. (verified 11 August 2005).

Page BT, Casas E, Heaton MP, Cullen NG, Hyndman DL , et al. (2002) Evaluation of single-nucleotide polymorphisms in CAPN1 for association with meat tenderness in cattle. Journal of Animal Science 80, 3077–3085.
PubMed |
(verified 11 August 2005).

Thompson J (2002) Managing meat tenderness. Meat Science 62, 295–308.
Crossref | GoogleScholarGoogle Scholar | open url image1

Tsuji S, Mannen H, Taniguchi M (2004) Method of judging goodness or the like of flavour of beef based on genotype of stearoyl-CoA desaturase. (Patent Application JP2004/261014) (http://ep.espacenet.com/).

Upton W, Burrow HM, Dundon A, Robinson DL, Farrell E (2001) CRC breeding program design, measurements and database: methods that underpin CRC research results. Australian Journal of Experimental Agriculture 41, 943–952.
Crossref | GoogleScholarGoogle Scholar | open url image1

Wang YH, Byrne KA, Reverter A, Harper GS, Taniguchi M, McWilliam SM, Mannen H, Oyama K, Lehnert SA (2005) Transcriptional profiling of skeletal muscle tissue from two breeds of cattle. Mammalian Genome 16, 201–210.
Crossref | PubMed |
open url image1

Weindruch R, Kayo T, Lee CK, Prolla TA (2001) Microarray profiling of gene expression in aging and its alternation by caloric restriction in mice. Journal of Nutrition 131, 918–923. open url image1

Wood BJ, Archer JA, van der Werf JHJ (2004) Response to selection in beef cattle using IGF-I as a selection criterion for residual feed intake under different Australian breeding objectives. Livestock Production Science 91, 69–81.
Crossref | GoogleScholarGoogle Scholar | open url image1