Estimation of carcass composition and cut composition from computed tomography images of live growing pigs of different genotypes
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Fecha de publicación
2014-09-12ISSN
1751-7311
Resumen
The aim of the present work was (1) to study the relationship between cross-sectional computed tomography (CT) images obtained in live growing pigs of different genotypes and dissection measurements and (2) to estimate carcass composition and cut composition from CT measurements. Sixty gilts from three genotypes (Duroc × (Landrace × Large White), Pietrain × (Landrace × Large White), and Landrace × Large White) were CT scanned and slaughtered at 30 kg (n = 15), 70 kg (n = 15), 100 kg (n = 12) or 120 kg (n = 18). Carcasses were cut and the four main cuts were dissected. The distribution of
density volumes on the Hounsfield scale (HU) were obtained from CT images and classified into fat (HU between −149 and −1), muscle (HU between 0 and 140) or bone (HU between 141 and 1400). Moreover, physical measurements were obtained on an image of the loin and an image of the ham. Four different regression approaches were studied to predict carcass and cut composition: linear regression, quadratic regression and allometric equations using volumes as predictors, and linear regression using volumes and physical measurements as predictors. Results show that measurements from whole animal taken in vivo with CT allow accurate estimation of carcass and cut composition. The prediction accuracy varied across genotypes, BW and variable to be predicted. In general, linear models, allometric models and linear models, which included also physical measurements at the loin and the ham, produced the lowest prediction errors.
Tipo de documento
Artículo
Versión del documento
Versión publicada
Lengua
Inglés
Materias (CDU)
663/664 - Alimentos y nutrición. Enología. Aceites. Grasas
Páginas
13
Publicado por
Elsevier
Publicado en
Animal
Citación
Font-i-Furnols, Maria, Anna Carabús, Candido Pomar, and Marina Gispert. 2015. "Estimation Of Carcass Composition And Cut Composition From Computed Tomography Images Of Live Growing Pigs Of Different Genotypes". Animal 9 (1): 166-178. doi:10.1017/s1751731114002237.
Número del acuerdo de la subvención
INIA/Programa Nacional de Proyectos de Investigación Fundamental/RTA2010-00014-00-00/ES/Evaluación 'in vivo' del crecimiento alométrico de los tejidos muscular y adiposo de los cerdos según la genética y el sexo mediante tomografía computerizada/
Program
Qualitat i Tecnologia Alimentària
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