Relationship between pig carcass characteristics measured in live pigs or carcasses with Piglog, Fat-o-Meat’er and computed tomography

Author:

Lucas Daniel,Brun Albert,Gispert Marina,Carabús Anna,Soler Joaquim,Tibau Joan,Font-i-Furnols Maria

Funder

INIA

CAPES

Publisher

Elsevier BV

Subject

General Veterinary,Animal Science and Zoology

Reference26 articles.

1. Bardera, A., Martínez, R., Boada, I., Font i Furnols, M., Gispert, M., 2012. VisualPork towards the simulation of a Virtual Butcher. FAIM I: First Annual Conference on body composition and carcass evaluation, meat quality, software and traceability. 25-26th September 2012. Dublin, Ireland.

2. Boada, I., Spinola, J., Rodriguez, J., Martínez, R., Font i Furnols, M., 2009. VisualPork towards the simulation of a Virtual Butcher. II Workshop on the use of Computed Tomography (CT) in pig carcass classification. Other CT applications: Live animals and meat technology, Monells. 16th-17th April 2009, Monells, Spain.

3. In vivo pigs evaluation of carcass and cuts composition growth of three commercial crossbreeds using computed tomography;Carabús;Livest. Sci.,2014

4. Predicting fat, lean and the weights of primal cuts for growing pigs of different genotypes and sexes using computed tomography;Carabús;J. Anim. Sci.,2015

5. Causeur D., Daumas G., Dhorne T., Engel B.., Font i Furnols M., Hojsgaard S., 2003. Statistical handbook for assessing pig classification methods: recommendations from the EUPIGCLASS project group. EC working document, 132 p. 〈http://ec.europa.eu/agriculture/pigmeat/policy-instruments/statistical-handbook-for-assessing-pig-classification-methods_en.pdf〉 (accessed 12.09.16).

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