Reference : Evaluation par ultrasonographie en temps réel de la teneur en gras intramusculaire du...
Scientific journals : Article
Life sciences : Veterinary medicine & animal health
Life sciences : Animal production & animal husbandry
http://hdl.handle.net/2268/61300
Evaluation par ultrasonographie en temps réel de la teneur en gras intramusculaire du porc Piétrain
French
Youssao, A. K. I. [> >]
Verleyen, Vincent mailto [Université de Liège - ULg > Département de productions animales > Biostatistique, économie, sélection animale - HEMOLIEGE - Cardiologie - Pathologie spéciale et réhabilitation >]
Michaux, Charles mailto [Université de Liège - ULg > Département de productions animales > Biostatistique, économie, sélection animale >]
Clinquart, Antoine mailto [Université de Liège - ULg > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires >]
Leroy, Pascal mailto [Université de Liège - ULg > Département de productions animales > Biostatistique, économie, sélection animale >]
2002
Annales de Médecine Vétérinaire
Université de Liège
146
4
249-255
Yes
0003-4118
1781-3875
Liège
Belgium
[en] body composition ; body fatness ; meat composition ; ultrasound ; carcass composition ; Pietrain
[en] Real-time ultrasound data collection, consisting specifically of longissimus thoracis muscle echogenicity, was carried out on 80 Pietrain pigs (42 gilts and 34 barrows) using the Pie Medical scanner 200 equipped with an ASP-18 probe and 3.5 MHz to predict intramuscular fat. Two ribs thickness (12th and 13th ribs) was excised from the longissimus thoracis muscle for subsequent ether extract value (EE) determination. The percentage of white pixels in the ultrasound image were related to EE percentage. The EE percentages were 1.44, 1.37 and 1.15 % respectively for the homozygous stress-negative Pietrain (CC), heterozygous stress-negative Pietrain (CT) and homozygous stress-positive Pietrain (TT) individuals. The percentage of white pixels in the longissimus thoracis images were 9.98, 8.75 and 7.79 % respectively for CC, CT and TT genotypes. The barrows had an higher intramuscular fat and white pixel percentage than the gilts. The determination coefficient (R 2) of the EE prediction model originating from the white pixels percentage was 0.35 with a root mean squared error of 0.26 %. These performance could be potentially improved using the calibration phantom of the ASP-18 probe, before taking images.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/61300
also: http://hdl.handle.net/2268/100783

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