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Prediction of beef carcass and selected primal subcutaneous fat yields using data from images captured on-line in abattoir

AutorPrieto, Nuria ; Ross, D. W.; Navajas, E. A.; Richardson, R. I.; Hyslop, J. J.; Craigie, C.; Simm, G.; Roehe, R.
Fecha de publicación2010
EditorBritish Society of Animal Science
CitaciónProceedings of the British Society of Animal Science or the Agricultural Research Forum, p.: 285 (2010)
Resumen[EN] Current grading methods for fat yield in UK abattoirs are limited to subjective fat classification score based on the EUROP based system. Video image analyses (VIA) methods have previously been employed commercially to estimate fat classification and carcass yield in other EU countries. Recently, fat trim yield has been strongly predicted (R2 = 0.8) by VIA system (Vote et al., 2009) and fat thickness measured manually has shown to correlate with intramuscular fat content (Indurain et al., 2009). Carcass and primal fat-yield information would be commercially useful in determining the quality and value of primal cuts. The aim of this study was to assess the potential of predicting half carcass and selected primal-cut subcutaneous fat yield using features extracted from high-resolution carcass digital images taken on-line at chain speed.
Descripción1 page, 1 table.--Contributed to: Proceedings of the British Society of Animal Science or the Agricultural Research Forum (Belfast, UK, 12-14 April, 2010).
Versión del editorhttp://www.bsas.org.uk/downloads/annlproc/pdf2010/pdf2010.pdf
Aparece en las colecciones: (IGM) Comunicaciones congresos
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