Your browser doesn't support javascript.
loading
Prediction of lamb carcase C-site fat depth and GR tissue depth using a non-invasive portable microwave system versus body condition scoring.
Marimuthu, J; Loudon, Kate M W; Gardner, G E.
Afiliación
  • Marimuthu J; School of Veterinary and Life Sciences, Murdoch University, WA 6150, Australia; Advanced Livestock Measurement Technologies project, Meat and Livestock Australia, NSW 2060, Australia.
  • Loudon KMW; School of Veterinary and Life Sciences, Murdoch University, WA 6150, Australia; Advanced Livestock Measurement Technologies project, Meat and Livestock Australia, NSW 2060, Australia. Electronic address: K.Loudon@murdoch.edu.au.
  • Gardner GE; School of Veterinary and Life Sciences, Murdoch University, WA 6150, Australia; Advanced Livestock Measurement Technologies project, Meat and Livestock Australia, NSW 2060, Australia.
Meat Sci ; 188: 108764, 2022 Jun.
Article en En | MEDLINE | ID: mdl-35220057
ABSTRACT
This study compared portable ultra-wide band microwave system (MiS) versus body condition score to predict C-site fat depth, GR tissue depth and eye muscle depth (EMD) in lambs. Experiment 1 assessed MiS and condition score to predict ultrasound measured C-site and EMD (n = 1549). Precision and accuracy was greatest for the MiS measurement with liveweight included in the model, with a C-site predicted RMSEP of 0.58 mm, R2 0.60 and bias of 0.021 mm and an EMD predicted RMSEP of 2.27 mm, R2 0.72 and bias of 0.088 mm. Experiment 2 (n = 900) assessed pre-slaughter MiS scanning and condition scoring to predict carcase GR tissue depth, C-site fat depth and EMD. MiS performed better than condition score for all three carcase trait predictions, regardless of the inclusion of liveweight, with the highest precision and accuracy for GR tissue depth determination with a RMSEP of 3.68 mm, R2 0.63 and bias 0.072 mm.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Composición Corporal / Carne Roja Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Meat Sci Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2022 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Composición Corporal / Carne Roja Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Meat Sci Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2022 Tipo del documento: Article País de afiliación: Australia