Predicting beef carcass composition using tissue weights of a primal cut assessed by computed tomography

EA Navajas, RI Richardson, AV Fisher, JJ Hyslop, DW Ross, N Prieto, G Simm, R Roehe

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

The potential of the composition of the forerib measured by X-ray computed tomography (CT) as a predictor of carcass composition was evaluated using data recorded on 30 Aberdeen Angus and 43 Limousin crossbred heifers and steers. The left sides of the carcasses were split into 20 cuts, which were CT scanned and fully dissected into fat, muscle and bone. Carcass and forerib tissue weights were assessed by dissection and CT. Carcass composition was assessed very accurately by CT scanning of the primal cuts (adj-R250.97 for the three tissues). CT scanning predicted weights of fat, muscle and bone of the forerib with adj-R2 of 0.95, 0.91 and 0.75, respectively. Single regression models with the weights of fat, muscle or bone in the forerib measured by CT as the only predictors to estimate fat, muscle or bone of the left carcass obtained by CT showed adjusted coefficients of determination (adj-R2) of 0.79, 0.60 and 0.52, respectively. By additionally fitting breed and sex, accuracy increased to 0.85, 0.73 and 0.67. Using carcass and forerib weights in addition to the previous predictors improved significantly the prediction accuracy of carcass fat and muscle weights to adj-R2 values of 0.92 and 0.96, respectively, while the highest value for carcass bone weight was 0.77. In general, equations derived using CT data had lower adj-R2 values for bone, but better accuracies for fat and muscle compared to those obtained using dissection. CT scanning could be considered as an alternative very accurate and fast method to assess beef carcass composition that could be very useful for breeding programmes and research studies involving a large number of animals, including the calibration of other indirect methods (e.g. in vivo and carcass video image analysis).
Original languageEnglish
Pages (from-to)1810 - 1817
Number of pages8
JournalAnimal
Volume4
Issue number11
DOIs
Publication statusFirst published - 2010

Fingerprint

beef carcasses
carcass composition
tissue weight
computed tomography
bones
muscles
lipids
Limousin (cattle breed)
Angus
carcass weight
heifers
crossbreds
X-radiation
calibration
image analysis
breeds
prediction
gender
breeding

Bibliographical note

2049325
1023378

Keywords

  • Beef
  • Carcass composition
  • Dissection
  • Primal composition

Cite this

Navajas, EA., Richardson, RI., Fisher, AV., Hyslop, JJ., Ross, DW., Prieto, N., ... Roehe, R. (2010). Predicting beef carcass composition using tissue weights of a primal cut assessed by computed tomography. Animal, 4(11), 1810 - 1817. https://doi.org/10.1017/S1751731110001096
Navajas, EA ; Richardson, RI ; Fisher, AV ; Hyslop, JJ ; Ross, DW ; Prieto, N ; Simm, G ; Roehe, R. / Predicting beef carcass composition using tissue weights of a primal cut assessed by computed tomography. In: Animal. 2010 ; Vol. 4, No. 11. pp. 1810 - 1817.
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Navajas, EA, Richardson, RI, Fisher, AV, Hyslop, JJ, Ross, DW, Prieto, N, Simm, G & Roehe, R 2010, 'Predicting beef carcass composition using tissue weights of a primal cut assessed by computed tomography', Animal, vol. 4, no. 11, pp. 1810 - 1817. https://doi.org/10.1017/S1751731110001096

Predicting beef carcass composition using tissue weights of a primal cut assessed by computed tomography. / Navajas, EA; Richardson, RI; Fisher, AV; Hyslop, JJ; Ross, DW; Prieto, N; Simm, G; Roehe, R.

In: Animal, Vol. 4, No. 11, 2010, p. 1810 - 1817.

Research output: Contribution to journalArticle

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AU - Simm, G

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Navajas EA, Richardson RI, Fisher AV, Hyslop JJ, Ross DW, Prieto N et al. Predicting beef carcass composition using tissue weights of a primal cut assessed by computed tomography. Animal. 2010;4(11):1810 - 1817. https://doi.org/10.1017/S1751731110001096