The prediction of carcass composition and tissue distribution in beef cattle using ultrasound scanning at the start and/or end of the finishing period

NR Lambe, DW Ross, EA Navajas, JJ Hyslop, N Prieto, C Craigie, L Bunger, G Simm, R Roehe

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Ultrasound tissue depths, similar to those measured commercially as part of UK beef genetic evaluation schemes, were measured on 52 crossbred steers and 10 heifers at the start and end of the finishing period (average age 476 and 568 days, respectively). Animals were slaughtered at commercial target weights and carcass grades, and one carcass side fully dissected. Combining live weights and ultrasound tissue depths measured both before and after finishing provided the best predictions of carcass composition. Dissected fat weights and proportions in the carcass side, the forequarter and the hindquarter were predicted with high accuracy (R2∼0.8),muscle weights with moderate accuracy (R2=0.5–0.6), but muscle proportions were less accurately predicted (R2=0.23–0.49). Meat and Livestock Commission (EUROP) carcass conformation and fatness classes could also be predicted with moderate accuracy (R2=0.4 and 0.6, respectively). Fat and muscle weights in each quarter expressed as proportions of the total weight of that tissue in the carcass sidewere not predicted accurately (R2b0.4). Liveweight and ultrasound datameasured only at the start of finishing also gave good predictions of fat proportions in the carcass side and quarters (R2=0.64–0.67), andmoderate predictions of fat and muscle weights and fatness class (R2=0.38– 0.53), but lowprediction accuracies formuscle proportions and conformation classes. In comparison, liveweights and tissue depthsmeasured only at the end of finishing explained 12 to 19%more of the variation in fat weights and fatness class, but predicted muscle weight, conformation class and fat proportions with similar accuracies andmuscle proportions with similar or less accuracy. Including ultrasound fat depths, alongside muscle depth and live weight, in equations to predict muscle weights and proportions increased prediction accuracies to similar values as those estimated for fat traits, but increased confounding between predictions of different tissues. Derived prediction equations were validated on data from another 32 heifers and 48 steers, relating ultrasound-predicted weights to carcass tissue weights predicted from fore-rib sample joint dissections. Prediction accuracies (R2) of between 0.52 and 0.64 were achieved for fat and muscle weights and fat proportion in the carcass side, when the model included post-finishing measurements, butwere lower (0.29–0.52) using only pre-finishingmeasurements. Predictions of muscle proportions and conformation classeswere of poor accuracy, regardless of themodel used. © 2010 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)193 - 202
Number of pages10
JournalLivestock Science
Volume131
Publication statusFirst published - 2010

Bibliographical note

62100054

Keywords

  • Beef
  • Carcass composition
  • Prediction models
  • Tissue distribution
  • Ultrasound

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