Determinación del grado de engrasamiento de canales bovinas mediante análisis de imagen

• L. González ^[1] ; J.A. Mendizabal ^[1] ; P. Albertí ^[2] ; G. Ripoll ^[2] ; A. Purroy ^[1]
  1. [1] ETSIA
  2. [2] CITA
• Localización: XV Jornadas sobre Producción Animal: 14 y 15 de mayo de 2013, Zaragoza / Jorge Hugo Calvo Lacosta (aut.), Isabel Casasús Pueyo (aut.), Margalida Joy Torrens (aut.), Javier Álvarez Rodríguez (aut.), Luis Varona Aguado (aut.), Begoña Panea Doblado (aut.), Carlos Calvete Margolles (aut.), Joaquim Barcells Teres (aut.), Vol. 2, 2013, ISBN 978-84-695-7684-7, págs. 643-645
• Idioma: español
• Títulos paralelos:
  • Predicting beef carcass fatness by an image analysis system
• Enlaces
  • Texto Completo Libro  1 (pdf)   2 (pdf) 
• Resumen

  • The amount and distribution of subcutaneous fat is an important factor affecting the carcass quality of young bulls. Fatness degree is determined by visual assessments according to five fatness scores. New technologies like image analysis have been developed with the goal to accurate and give objectivity at a more important degree to this classification system. In this work, 25 Pirenaica young bulls were slaughtered (588 ± 49.3 kg) and after slaughtering the carcasses were weighed (371 ± 28.1 kg) and a fatness score was assigned. A digital picture was taken of the left exterior carcass side on which fat area measurement (Fat area) was taken by image analysis system. The commercial cutting of these carcasses was made 24h post mortem. The resulting fat from the cutting was weighed (Cutting fat). A regression analysis between carcass Fat area (x, variable) and carcass Cutting fat (y, variable) was made to know the accuracy of the image analysis system. Higher accuracy was obtained with the image analysis system (R2=0.58) than with the visual fatness score (R2=0.49). These results show that Image Analysis system is more accuracy than the visual assessments system for predicting beef carcass fatness.