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Prediction of foal carcass composition and wholesale cut yields by using video image analysis

Published online by Cambridge University Press:  11 July 2017

J. M. Lorenzo ,
C. M. Guedes ,
R. Agregán ,
M. V. Sarriés ,
D. Franco  and
S. R. Silva
J. M. Lorenzo*
Affiliation:
Centro Tecnológico de la Carne de Galicia, Rua Galicia No. 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain
C. M. Guedes
Affiliation:
CECAV–Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal
R. Agregán
Affiliation:
Centro Tecnológico de la Carne de Galicia, Rua Galicia No. 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain
M. V. Sarriés
Affiliation:
EscuelaTécnica Superior de Ingenieros Agrónomos, Universidad Pública de Navarra, Campus de Arrosadía, 31006 Pamplona, Spain
D. Franco
Affiliation:
Centro Tecnológico de la Carne de Galicia, Rua Galicia No. 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain
S. R. Silva
Affiliation:
CECAV–Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal
*
†E-mail: [email protected]
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Abstract

This work represents the first contribution for the application of the video image analysis (VIA) technology in predicting lean meat and fat composition in the equine species. Images of left sides of the carcass (n=42) were captured from the dorsal, lateral and medial views using a high-resolution digital camera. A total of 41 measurements (angles, lengths, widths and areas) were obtained by VIA. The variation of percentage of lean meat obtained from the forequarter (FQ) and hindquarter (HQ) carcass ranged between 5.86% and 7.83%. However, the percentage of fat (FAT) obtained from the FQ and HQ carcass presented a higher variation (CV between 41.34% and 44.58%). By combining different measurements and using prediction models with cold carcass weight (CCW) and VIA measurement the coefficient of determination (k-fold-R2) were 0.458 and 0.532 for FQ and HQ, respectively. On the other hand, employing the most comprehensive model (CCW plus all VIA measurements), the k-fold-R2 increased from 0.494 to 0.887 and 0.513 to 0.878 with respect to the simplest model (only with CCW), while precision increased with the reduction in the root mean square error (2.958 to 0.947 and 1.841 to 0.787) for the hindquarter fat and lean percentage, respectively. With CCW plus VIA measurements is possible to explain the wholesale value cuts yield variation (k-fold-R2 between 0.533 and 0.889). Overall, the VIA technology performed in the present study could be considered as an accurate method to assess the horse carcass composition which could have a role in breeding programmes and research studies to assist in the development of a value-based marketing system for horse carcass.

Keywords

carcass compositionvideo image analysispredictionfoalcommercial cutting
Type
Research Article
Information
animal , Volume 12 , Issue 1 , January 2018 , pp. 174 - 182
Copyright
© The Animal Consortium 2017 

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