Article, 2024

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

Meat Science, ISSN 0309-1740, 1873-4138, Volume 213, Page 109500, 10.1016/j.meatsci.2024.109500

Contributors

Stewart, Sarah M 0000-0002-6291-8795 (Corresponding author) [1] Toft, Henrik [2] O'Reilly, Rachel A [1] Lauridsen, Thomas 0000-0003-1327-4361 [2] Esberg, Jakob [2] Jørgensen, Thor B [2] Tarr, Garth 0000-0002-6605-7478 [3] Christensen, Mette [2]

Affiliations

  1. [1] Murdoch University
  2. [NORA names: Australia; Oceania; OECD];
  3. [2] Frontmatec A/S, Smørum 2765, Denmark.
  4. [NORA names: Denmark; Europe, EU; Nordic; OECD];
  5. [3] The 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, R2) prediction of eye muscle area (EMA) (R2 = 0.89, RMSEP = 4.3 cm2, slope = 0.96, bias = 0.7), MSA marbling (R2 = 0.95, RMSEP = 47.2, slope = 0.98, bias = -12.8) and chemical IMF% (R2 = 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

Australia, Meat Standards Australia, Standards Australia, accuracy, area, beef carcasses, calibration, calibration model, calibration performance, camera, carcass, carcass phenotypes, categorical traits, chemical, chemical intramuscular fat, class, color, color score, commercial processing facility, continuous traits, dataset, devices, diverse range, eye muscle area, facilities, fat, fat color score, grade, grader scores, graders, industry, intramuscular fat, marble, meat, meat color, model, muscle area, objective, performance, phenotype, precision, prediction, processing facilities, range, repeats, reproducibility, research, research datasets, scores, study, traits

Funders

  • Meat & Livestock Australia

Data Provider: Digital Science