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Genetic parameters for carcass dimensional measurements from Video Image Analysis and their association with conformation and fat class scores

Published online by Cambridge University Press:  22 November 2017

E Rius-Vilarrasa ,
L Bünger ,
S Brotherstone ,
K Matthews ,
W Haresign ,
J M Macfarlane ,
M Davies  and
R Roehe
E Rius-Vilarrasa*
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
L Bünger
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
S Brotherstone
Affiliation:
School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
K Matthews
Affiliation:
EBLEX Limited, Milton Keynes, United Kingdom
W Haresign
Affiliation:
Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
J M Macfarlane
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
M Davies
Affiliation:
ADAS Rosemaund, Hereford, United Kingdom
R Roehe
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
*
Email: [email protected]
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Extract

Automatic technologies based on video image analysis (VIA) to assess lamb carcass value offer an accurate measure of weight of individual carcass components (Rius-Vilarrasa et al., 2008). In addition, VIA systems offer the possibility to record linear and area traits (dimensional measurements) on the carcass. Linear measurements on the body and carcass have been suggested by several authors as good indicators of live weight, conformation score and production traits in beef and sheep (Maiwashe et al., 2002; Janssens et al., 2004). Therefore, the aims of this study were (1) to estimate genetic parameters for VIA dimensional measurements (VIA-DM) and (2) to investigate the associations between VIA-DM with carcass conformation and fatness.

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2009 , April 2009 , pp. 120
Copyright
Copyright © The British Society of Animal Science 2009

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References

Gilmour, A.R., Cullis, B.R., Welham, S.J. and Thompson, R. 2004. ASREML, user manual. http://www.vsn-intl.com/.Google Scholar
Rius-Vilarrasa, E., Bünger, L, Matthews, K.R., Maltin, C.A., Hinz, A. and Roehe, R. 2008. Submitted (Meat Science).Google Scholar
Maiwashe, A.N., Bradfield, M.J., Theron, H.E. and van Wyk, J.B. 2002. Livestock Production Science. 75, 293–300.CrossRefGoogle Scholar
Janssens, S., Winandy, D., Tylleman, A., Delmotte, C., Van Moeseke, W. and Vandepitte, W. 2004. Small Ruminant Research. 51, 85–95.Google Scholar