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Monitoring lean meat percentage predictions from optical grading probes by a commercial cutting pattern.
Gangsei, Lars Erik; Bjerke, Frøydis; Røe, Morten; Alvseike, Ole.
Afiliación
  • Gangsei LE; Animalia, P.O. Box 396 - Økern, Oslo NO-0513, Norway; Norwegian University of Life Sciences (NMBU), Faculty of Chemistry, Biotechnology and Food Science, P.O. Box 5003, Ås NO-1432, Norway. Electronic address: lars.erik.gangsei@animalia.no.
  • Bjerke F; Animalia, P.O. Box 396 - Økern, Oslo NO-0513, Norway. Electronic address: froydis.bjerke@animalia.no.
  • Røe M; Animalia, P.O. Box 396 - Økern, Oslo NO-0513, Norway. Electronic address: morten.roe@animalia.no.
  • Alvseike O; Animalia, P.O. Box 396 - Økern, Oslo NO-0513, Norway. Electronic address: ole.alvseike@animalia.no.
Meat Sci ; 137: 98-105, 2018 Mar.
Article en En | MEDLINE | ID: mdl-29156326
ABSTRACT
The lean meat percentage (LMP) classification in Norwegian slaughterhouses is obtained by Hennessy Grading Probe 7 (HGP7), an optical tool. Even though the HGP7 method is validated frequently, there is industrial and legislative demand to reconsider the applied LMP equation, typically due to the introduction of new breeds. A deboning pilot plant generates precise yield data using cutting and deboning stratified pork carcasses by a specific commercial cutting pattern (CCP) at an annual rate of approximately 250 slaughter pigs. This paper shows how results obtained by CCP can be used to measure LMP in pork and how these results can be used for monitoring the quality of LMP predicted by HGP7. The effect of gender, maternal- and paternal lines on validity of HGP7 predictions was evaluated. The effect of introducing a new maternal line (TN70) seems to be substantial, whereas the effects of the tested paternal lines are small to negligible.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Composición Corporal / Sus scrofa / Carne Roja Tipo de estudio: Evaluation_studies / Prognostic_studies / Risk_factors_studies Límite: Animals País/Región como asunto: Europa Idioma: En Revista: Meat Sci Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Composición Corporal / Sus scrofa / Carne Roja Tipo de estudio: Evaluation_studies / Prognostic_studies / Risk_factors_studies Límite: Animals País/Región como asunto: Europa Idioma: En Revista: Meat Sci Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2018 Tipo del documento: Article
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