Predicting the carcass chemical composition and describing its growth in live pigs of different sexes using computed tomographys

Animal : an International Journal of Animal Bioscience
C ZomeñoMaria Font-I-Furnols

Abstract

The aims of this study were (1) to evaluate the ability of computed tomography (CT) to predict the chemical composition of live pigs and carcasses, (2) to compare the chemical composition of four different sex types at a commercial slaughter weight and (3) to model and evaluate the chemical component growth of these sex types. A total of 92 pigs (24 entire males (EM), 24 surgically castrated males (CM), 20 immunocastrated males (IM) and 24 females (FE)) was used. A total of 48 pigs (12 per sex type) were scanned repeatedly in vivo using CT at 30, 70, 100 and 120 kg and slaughtered at the end of the experiment. The remaining 44 were CT scanned in vivo and slaughtered immediately: 12 pigs (4 EM, 4 CM and 4 FE) at 30 kg and 16 pigs each at 70 kg and 100 kg (4 per sex type). The left carcasses were CT scanned, and the right carcasses were minced and analysed for protein, fat, moisture, ash, Ca and P content. Prediction equations for the chemical composition were developed using Partial Least Square regression. Allometric growth equations for the chemical components were modelled. By using live animal and carcass CT images, accurate prediction equations were obtained for the fat (with a root mean square error of prediction (RMSEPCV)...Continue Reading

References

Aug 24, 2001·Journal of Animal Science·A Blasco
Nov 30, 2002·International Journal of Food Microbiology·S BeasleyP E J Saris
Jul 5, 2011·The Journal of Arthroplasty·Kenneth A MannTimothy H Izant
Jul 6, 2014·Journal of Clinical Imaging Science·Parag Suresh MahajanNishan K Purayil
Sep 13, 2014·Animal : an International Journal of Animal Bioscience·Maria Font-I-FurnolsMarina Gispert

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