Chapter 1 - Developments in automated systems for monitoring
livestock health: lameness: Zoe E. Barker, University of Reading,
UK; Nick J. Bell, University of Nottingham, UK; Jonathan R. Amory,
Writtle University College, UK; and Edward A. Codling, University
of Essex, UK; 1 Introduction2 Lameness and its impacts3 Lameness
and behaviour4 Non-automated detection of lameness5 Automated
detection of lameness using non-wearable technology6 Automated
detection of lameness using animal-mounted accelerometers7
Automated detection of lameness using spatial positioning systems8
Conclusion and future trends9 Where to look for further
information10 References
Chapter 2 - Preventing and managing lameness in dairy cows:
Nick Bell, The Royal Veterinary College, UK; 1 Introduction2
Lameness in dairy cows: associated pain, prevalence and incidence3
Recording causes and ensuring prompt and effective treatment4
Lesion aetiology and categories of risk for the four main causes of
lameness in dairy cows5 Risk assessments and cost-effective
interventions6 Conclusions: how assessment, evaluation and
facilitation is driving improvement7 Where to look for further
information8 References
Chapter 3 - Advances in dairy cattle breeding to improve
resistance to claw disorders/lameness: C. Egger-Danner, ZuchtData
EDV-Dienstleistungen GmbH, Austria; and B. Heringstad, Norwegian
University of Life Sciences (NMBU), Norway; 1 Introduction2
Breeding goals3 Data sources of phenotypes4 Genetic evaluation5
Selection and genetic gain6 International developments in improving
claw health and lameness7 Conclusion8 Future trends9
Acknowledgements10 Where to look for further information11
References
Chapter 4 - Optimising foot health in dairy cattle: Nick J.
Bell, The University of Nottingham, UK; 1 Introduction2 Claw horn
disruption – a paradigm shift3 Aetiopathogenesis of white line
bruising and lesions4 Aetiopathogenesis and control of digital
dermatitis5 Summary and critical control points6 Case study7
Emerging diseases and future concepts8 Where to look for further
information9 References
Since 2012 we have been working with a range of collaborators on our ongoing Cow Tracking Project. We are using novel tracking sensors to automatically monitor the movement and behaviour of dairy cows. Using the collected data, we can determine patterns of behaviour that may be indicative of changes in health, or relate to important events such as calving. We work closely with farmers and the dairy industry to ensure that our research findings can be used to improve farm efficiencies and animal welfare.
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