Article, 2024

Objective grading of rib eye traits using the Q-FOM™ camera in Australian beef carcasses

Meat Science, ISSN 0309-1740, Volume 213, 10.1016/j.meatsci.2024.109500

Contributors

Stewart S.M. (Corresponding author) [1] Toft H. [2] O'Reilly R.A. [1] Lauridsen T. [2] Esberg J. [2] Jorgensen T.B. [2] Tarr G. [3] Christensen M. [2]

Affiliations

  1. [1] Murdoch University
  2. [NORA names: Australia; Oceania; OECD];
  3. [2] Frontmatec A/S
  4. [NORA names: Other Companies; Private Research; Denmark; Europe, EU; Nordic; OECD];
  5. [3] University of Sydney
  6. [NORA names: Australia; Oceania; OECD]

Abstract

The objective of this study was to develop calibration models against rib eye traits and independently validate the precision, accuracy, and repeatability of the Frontmatec Q-FOM™ Beef grading camera in Australian carcasses. This study compiled 12 different research datasets acquired from commercial processing facilities and were comprised of a diverse range of carcass phenotypes, graded by industry identified expert Meat Standards Australia (MSA) graders and sampled for chemical intramuscular fat (IMF%). Calibration performance was maintained when the device was independently validated. For continuous traits, the Q-FOM™ demonstrated precise (root mean squared error of prediction, RMSEP) and accurate (coefficient of determination, R) prediction of eye muscle area (EMA) (R = 0.89, RMSEP = 4.3 cm, slope = 0.96, bias = 0.7), MSA marbling (R = 0.95, RMSEP = 47.2, slope = 0.98, bias = −12.8) and chemical IMF% (R = 0.94, RMSEP = 1.56%, slope = 0.96, bias = 0.64). For categorical traits, the Q-FOM™ predicted 61%, 64.3% and 60.8% of AUS-MEAT marbling, meat colour and fat colour scores equivalent, and 95% within ±1 classes of expert grader scores. The Q-FOM™ also demonstrated very high repeatability and reproducibility across all traits.

Keywords

Grading, Marbling, Meat colour, Meat quality, Objective measurement, Technology

Funders

  • Donor Company
  • Murdoch University
  • MDC
  • Meat Standards Australia
  • Meat and Livestock Australia
  • Advanced Livestock Measurement Technologies
  • Australian Government Department of Agriculture, Water and Environment Rural Research and Development
  • Australian Meat Processor Corporation

Data Provider: Elsevier