Predicting Beef Carcass Fatness Using an Image Analysis System.

carcass fatness image analysis prediction young bulls

Journal

Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614

Informations de publication

Date de publication:
05 Oct 2021
Historique:
received: 14 09 2021
revised: 30 09 2021
accepted: 01 10 2021
entrez: 23 10 2021
pubmed: 24 10 2021
medline: 24 10 2021
Statut: epublish

Résumé

The amount and distribution of subcutaneous fat is an important factor affecting beef carcass quality. The degree of fatness is determined by visual assessments scored on a scale of five fatness levels (the SEUROP system). New technologies such as the image analysis method have been developed and applied in an effort to enhance the accuracy and objectivity of this classification system. In this study, 50 young bulls were slaughtered (570 ± 52.5 kg) and after slaughter the carcasses were weighed (360 ± 33.1 kg) and a SEUROP system fatness score assigned. A digital picture of the outer surface of the left side of the carcass was taken and the area of fat cover (fat area) was measured using an image analysis system. Commercial cutting of the carcasses was performed 24 h post-mortem. The fat trimmed away on cutting (cutting fat) was weighed. A regression analysis was carried out for the carcass cutting fat (

Identifiants

pubmed: 34679918
pii: ani11102897
doi: 10.3390/ani11102897
pmc: PMC8532829
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

José A Mendizabal (JA)

IS-FOOD Research Institute, Campus de Arrosadia, Universidad Pública de Navarra, 31006 Pamplona, Spain.

Guillerno Ripoll (G)

Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Instituto Agroalimentario de Aragón-IA2 (CITA-Universidad de Zaragoza), Avda. Montañana 930, 50059 Zaragoza, Spain.

Olaia Urrutia (O)

IS-FOOD Research Institute, Campus de Arrosadia, Universidad Pública de Navarra, 31006 Pamplona, Spain.

Kizkitza Insausti (K)

IS-FOOD Research Institute, Campus de Arrosadia, Universidad Pública de Navarra, 31006 Pamplona, Spain.

Beatriz Soret (B)

IS-FOOD Research Institute, Campus de Arrosadia, Universidad Pública de Navarra, 31006 Pamplona, Spain.

Ana Arana (A)

IS-FOOD Research Institute, Campus de Arrosadia, Universidad Pública de Navarra, 31006 Pamplona, Spain.

Classifications MeSH