In vivo prediction of intramuscular fat in pigs using computed tomography

Jørgen  Kongsro; Eli  Gjerlaug-Enger

doi:10.4236/ojas.2013.34048

Jørgen Kongsro^*, Eli Gjerlaug-Enger

Abstract: One hundred and four pure-bred Norwegian Duroc boars were CT (computed tomography) scanned to predict the in vivo intramuscular fat percentage in the loin. The animals were slaughtered and the loin was cut commercially. A muscle sample of the m. Longissimus dorsi was sampled and analyzed by the use of near-infrared spectroscopy. Data from CT images were collected using an in-house MATLAB script. Calibration models were made using PLS (partial least square) regression, containing independent data from CT images and dependent data from near-infrared spectroscopy. The data set used for calibration was a subset of 72 animals. The calibration models were validated using a subset of 32 animals. Scaling of independent data and filtering using median filtering were tested to improve predictions. The results showed that CT is not a feasible method for in vivo prediction of intramuscular content in swine.

Keywords: Intramuscular Fat; Computed Tomography; PLS Regression; Calibration; Validation

Cite this paper: Kongsro, J. and Gjerlaug-Enger, E. (2013) In vivo prediction of intramuscular fat in pigs using computed tomography. Open Journal of Animal Sciences, 3, 321-325. doi: 10.4236/ojas.2013.34048.

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