In vivo prediction of intramuscular fat in pigs using computed tomography

Jørgen Kongsro, Eli Gjerlaug-Enger

Norsvin, Furnesveien, Hamar, Norway.
Norsvin, Furnesveien, Hamar, Norway;.

DOI: 10.4236/ojas.2013.34048                

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

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Font-i Furnols, M., Brun, A., Tous, N. and Gispert, M. (2013) Use of linear regression and partial least square regression to predict intramuscular fat of pig loin computed tomography images. Chemometrics and Intelligent Laboratory Systems, 122, 58-64. http://dx.doi.org/10.1016/j.chemolab.2013.01.005
[2]	Van Deckel, M.J., Casteels, M., Warnants, N., Van Damme, L. and Boucqué, C.V. (1996) Omega-3 fatty acids in pig nutrition: Implications for the intrinsic and sensory quality of the meat. Meat science, 44, 55-63. http://dx.doi.org/10.1016/S0309-1740(96)00077-0
[3]	Gjerlaug-Enger, E., Aass, L., Odegard, J. and Vangen, O. (2010) Genetic parameters of meat quality traits in two pig breeds measured by rapid methods. Animal: An international journal of animal bioscience, 4, 1832-1843.
[4]	Newcom, D.W., Baas, T.J. and Lampe, J.F. (2002) Prediction of intramuscular fat percentage in live swine using real-time ultrasound. Journal of Animal Science, 80, 3046-3052.
[5]	Skjervold, H., Gronseth, K., Vangen, O. and Evensen, A. (1981) In vivo estimation of body composition by computerized tomography. Zeitschrift für Tierzüchtung und Züchtungsbiologie, 98, 77-79.
[6]	Prieto, N., Navajas, E., Richardson, R., Ross, D., Hyslop, J., Simm, G., Roehe, R., Glasbey, C. and Fisher, A. (2010) Predicting beef cuts composition, fatty acids and meat quality characteristics by spiral computed tomography. Meat Science, 86, 770-779. http://dx.doi.org/10.1016/j.meatsci.2010.06.020
[7]	Haseth, T.T., Hay, M., Kongsro, J., Kohler, A., Sorheim, O. and Egelandsdal, B. (2008) Determination of sodium chloride in pork meat by computed tomography at different voltages. Journal of food science, 73, E333-E339. http://dx.doi.org/10.1111/j.1750-3841.2008.00883.
[8]	Vestergaard, C., Risum, J.R. and Adler-Nissen, J. (2004) Quantification of salt concentrations in cured pork by computed tomography. Meat Science, 68, 107-113. http://dx.doi.org/10.1016/j.meatsci.2004.02.011
[9]	Harada, H. and Kumazaki, K. (1980) Relationship between fat thickness, cross sectional area of M. Longissimusthoracis and marbling score and their ultrasonic estimates. Nihon Chikusan Gakkaiho, 51, 261-266.
[10]	MATLAB (2012) The MathWorks, Inc., Natick.
[11]	Ning, C.-Y., Liu, S.-F. and Qu, M. (2009) Research on removing noise in medical image based on median filter method. IEEE International Symposium on IT in Medicine & Education, Jinan, 14-16 August 2009, 384-388
[12]	Gjerlaug-Enger, E., Kongsro, J., Odegard, J., Aass, L. and Vangen, O. (2012) Genetic parameters between slaughter pig efficiency and growth rate of different body tissues estimated by computed tomography in live boars of Landrace and Duroc. Animal, 6, 9-18. http://dx.doi.org/10.1017/S1751731111001455
[13]	Aasmundstad, T., Kongsro, J., Wetten, M., Dolvik, N.I. and Vangen, O. (2013) Osteochondrosis in pigs diagnosed with computed tomography: Heritabilities and genetic correlations to weight gain in specific age intervals. Animal: An International Journal of Animal Bioscience, 1-7.
[14]	Johansen, J., Egelandsdal, B., Roe, M., Kvaal, K. and Aastveit, A. (2007) Calibration models for lamb carcass composition analysis using Computerized Tomography (CT) imaging. Chemometrics and Intelligent Laboratory Systems, 87, 303-311. http://dx.doi.org/10.1016/j.chemolab.2007.03.009
[15]	Knapp, P., Willam, A. and Solkner, J. (1997) Genetic parameters for lean meat content and meat quality traits in different pig breeds. Livestock Production Science, 52, 69-73.