Hostname: page-component-6bf8c574d5-qdpjg Total loading time: 0 Render date: 2025-02-14T23:46:43.101Z Has data issue: false hasContentIssue false
  • English
  • Français

Predicting the slaughter characteristics of finished beef cattle using a live animal digital image analysis system under typical on-farm management conditions

Published online by Cambridge University Press:  22 November 2017

J J Hyslop ,
D W Ross ,
C P Schofield ,
E A Navajas ,
R Roehe  and
G Simm
J J Hyslop*
Affiliation:
SAC Select Services, Bush Estate, Penicuik, Midlothian, UK
D W Ross
Affiliation:
SAC Animal Breeding & Development, SAC, West Mains Road, Edinburgh, UK
C P Schofield
Affiliation:
Silsoe Livestock Systems Ltd, Wrest Park, Silsoe, Bedford, UK
E A Navajas
Affiliation:
SAC Animal Breeding & Development, SAC, West Mains Road, Edinburgh, UK
R Roehe
Affiliation:
SAC Animal Breeding & Development, SAC, West Mains Road, Edinburgh, UK
G Simm
Affiliation:
SAC Animal Breeding & Development, SAC, West Mains Road, Edinburgh, UK
*
Email: [email protected]
Get access

Extract

Previous work has suggested that dimensional data obtained from digital image analysis (DIA) has potential to predict the slaughter liveweights of finished beef cattle (Hyslop et al, 2008). Both farmers and cattle buyers may benefit from being able to select animals to meet slaughter specifications more accurately on-farm. The objective of the current study was to assess the feasibility of an on-farm DIA system to predict a number of characteristics in beef steers at slaughter.

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2009 , April 2009 , pp. 139
Copyright
Copyright © The British Society of Animal Science 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Hyslop, JJ, Ross, DW, Schofield, CP, Navajas, EA, Roehe, R. and Simm, G. 2008. Proceedings of the British Society of Animal Science, p50.Google Scholar