Development of the Meat Standards Australia (MSA) prediction model for beef palatability
R. Watson A D , R. Polkinghorne B and J. M. Thompson CA Department of Mathematics and Statistics, University of Melbourne, Parkville, Vic. 3010, Australia.
B Marrinya Agricultural Enterprises, 70 Vigilantis Road, Wuk Wuk, Vic. 3875, Australia.
C Cooperative Research Centre for Beef Genetic Technologies, School of Environmental and Rural Sciences, University of New England, Armidale, NSW 2351, Australia.
D Corresponding author. Email: rayw@ms.unimelb.edu.au
Australian Journal of Experimental Agriculture 48(11) 1368-1379 https://doi.org/10.1071/EA07184
Submitted: 21 June 2007 Accepted: 18 July 2008 Published: 16 October 2008
Abstract
In this paper, the statistical aspects of the methodology that led to the Meat Standards Australia (MSA) prediction model for beef palatability are explained and described. The model proposed here is descriptive: its intention is to describe the large amounts of data collected by MSA. The model is constrained to accord with accepted meat science principles. The combined dataset used in development of the prediction model reported is around 32 000 rows × 140 columns. Each row represents a sample tasted by 10 consumers; each column specifies a variable relating to the sample tested. The developed model represents the interface between experimental data, scientific evaluation and commercial application. The model is used commercially to predict consumer satisfaction, in the form of a score out of 100, which in turn determines a grade outcome. An important improvement of the MSA model relative to other beef grading systems is that it assigns an individual consumer-based grade result to specific muscle portions cooked by designated methods; it does not assign a single grade to a carcass.
Additional keywords: Bos indicus content, carcass suspension and carcass weight cooking methods, consumer sensory testing, hormonal growth implants, ossification and marbling scores.
Bouton PE, Harris PV
(1972) The effects of some post-slaughter treatments on the mechanical properties of bovine and ovine muscle. Journal of Food Science 37, 539–543.
| Crossref | GoogleScholarGoogle Scholar |
Carroll FD,
Ellis KW,
Lang MM, Noyes EV
(1976) Influence of carcass maturity on the palatability of beef. Journal of Animal Science 43(2), 413–417.
Dransfield E
(1977) Intramuscular composition and texture of beef muscles. Journal of the Science of Food and Agriculture 28, 833–842.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Dransfield E
(1994) Optimisation of tenderisation, ageing and tenderness. Meat Science 36, 105–121.
| Crossref | GoogleScholarGoogle Scholar |
Field R,
McCormick IR,
Balasubramanian V,
Sanson D,
Wise J,
Hixon D,
Riley M, Russell W
(1997) Tenderness variation among loin steaks from A and C maturity carcasses of heifers similar in chronological age. Journal of Animal Science 75, 693–699.
|
CAS |
PubMed |
Hilton GG,
Tatum JD,
Williams SE,
Belk KE,
Williams FL,
Wise JW, Smith GC
(1998) An evaluation of current and alternative systems for grading quality carcasses of mature slaughter cows. Journal of Animal Science 76, 2094–2103.
|
CAS |
PubMed |
Kim CJ, Lee ES
(2003) Effects of quality grade on the chemical, physical and sensory characteristics of Hanwoo (Korean native cattle) beef. Meat Science 63, 397–405.
| Crossref | GoogleScholarGoogle Scholar |
Koch RM,
Dikeman ME,
Allen DM,
May M,
Crouse JD, Campion DR
(1976) Characterization of biological types of cattle. III. Carcass composition, quality and palatability. Journal of Animal Science 43, 48.
Park BY,
Hwang IH,
Cho SH,
Yoo YM,
Kim JH,
Lee JM,
Polkinghorne R, Thompson JM
(2008) Effect of carcass suspension and cooking method on the palatability of three beef muscles as assessed by Korean and Australian consumers. Australian Journal of Experimental Agriculture 48, 1396–1404.
Polkinghorne R,
Philpott J,
Gee A,
Doljanin A, Innes J
(2008a) Development of a commercial system to apply the Meat Standards Australia grading model to optimise the return on eating quality in a beef supply chain. Australian Journal of Experimental Agriculture 48, 1451–1458.
Polkinghorne R,
Thompson JM,
Watson R,
Gee A, Porter M
(2008b) Evolution of the Meat Standards Australia (MSA) beef grading system. Australian Journal of Experimental Agriculture 48, 1351–1359.
Rhee MS,
Wheeler TL,
Shackelford TL, Koohmaraie M
(2004) Variation in palatability and biochemical traits within and among eleven beef muscles. Journal of Animal Science 82, 534–550.
|
CAS |
PubMed |
Romans JR,
Tuma HJ, Tucker WL
(1965) Influence of carcass maturity and marbling on the physical and chemical characteristics of beed. 1. Palatability, fiber diameter and proximate analysis. Journal of Animal Science 24, 681.
|
CAS |
PubMed |
Shackelford SD,
Wheeler TL, Koohmaraie M
(1995) Relationship between shear force and trained sensory panel tenderness ratings of 10 major muscles from Bos indicus and Bos taurus cattle. Journal of Animal Science 73, 3333–3340.
|
CAS |
PubMed |
Sherbeck JA,
Tatum JD,
Field TG,
Morgan JB, Smith GC
(1996) Effect of phenotypic expression of Brahman breeding on marbling and tenderness traits. Journal of Animal Science 74, 304–309.
|
CAS |
PubMed |
Shorthose WR
(1996) A qualitative model of factors influencing beef tenderness. Proceedings of the Australian Society of Animal Protection 21, 143.
Shorthose WR, Harris PV
(1990) Effect of animal age on the tenderness of selected beef muscles. Journal of Food Science 55, 1–8, 14.
| Crossref | GoogleScholarGoogle Scholar |
Smith GC,
Cross HR,
Carpenter ZL,
Murphey CE,
Savell JW,
Abraham HC, Davis GW
(1982) Relationship of USDA maturity groups to palatability of cooked beef. Journal of Food Science 47, 1100–1107, 1118.
| Crossref | GoogleScholarGoogle Scholar |
Smith GC,
Berry BW,
Savell JW, Cross HR
(1988) USDA maturity indices and palatability of beef rib steaks. Journal of Food Quality 11, 1–13.
| Crossref | GoogleScholarGoogle Scholar |
Thompson JM
(2002) Managing meat tenderness. Meat Science 62, 295–308.
| Crossref | GoogleScholarGoogle Scholar |
Thompson JM,
McIntyre BM,
Tudor GD,
Pethick DW,
Polkinghorne R, Watson R
(2008a) Effects of hormonal growth promotants (HGP) on growth, carcass characteristics, the palatability of different muscles in the beef carcass and their interaction with aging. Australian Journal of Experimental Agriculture 48, 1405–1414.
|
CAS |
Thompson JM,
Polkinghorne R,
Hwang IH,
Gee AM,
Cho SH,
Park BY, Lee JM
(2008b) Beef quality grades as determined by Korean and Australian consumers. Australian Journal of Experimental Agriculture 48, 1380–1386.
Thompson JM,
Polkinghorne R,
Porter M,
Burrow HM,
Hunter RA,
McCrabb GJ, Watson R
(2008c) Effect of repeated implants of oestradiol-17β on beef palatability in Brahman and Brahman cross steers finished to different market end points. Australian Journal of Experimental Agriculture 48, 1434–1441.
|
CAS |
Wang H,
Claus JR, Marriott NG
(1994) Selected skeletal alterations to improve tenderness of beef round muscles. Journal of Muscle Foods 5, 137–147.
| Crossref | GoogleScholarGoogle Scholar |
Watson R
(2008) Meta-analysis of the published effects of HGP use on beef palatability in steers as measured by objective and sensory testing. Australian Journal of Experimental Agriculture 48, 1425–1433.
|
CAS |
Watson R,
Gee A,
Polkinghorne R, Porter M
(2008a) Consumer assessment of eating quality – development of protocols for Meat Standards Australia (MSA) testing. Australian Journal of Experimental Agriculture 48, 1360–1367.
Watson R,
Polkinghorne R,
Gee A,
Porter M,
Thompson JM,
Ferguson D,
Pethick D, McIntyre B
(2008b) Effect of hormonal growth promotants on palatability and carcass traits of various muscles from steer and heifer carcasses from a Bos indicus–Bos taurus composite cross. Australian Journal of Experimental Agriculture 48, 1415–1424.
|
CAS |