All Outputs (2)

Genomic heterogeneity of Dichelobacter nodosus within and between UK sheep flocks and between age groups within a flock (2020)
Journal Article
Davies, P. L., Blanchard, A. M., Staley, C. E., Bollard, N. J., Coffey, T. J., & Tötemeyer, S. (2020). Genomic heterogeneity of Dichelobacter nodosus within and between UK sheep flocks and between age groups within a flock. BMC Microbiology, 20, Article 107. https://doi.org/10.1186/s12866-020-01769-9

Background Footrot and interdigital dermatitis are endemic infectious diseases in all sheep farming regions, impairing welfare and production. The development of efficacious vaccines against the primary causative pathogen has been hampered by the ex... Read More about Genomic heterogeneity of Dichelobacter nodosus within and between UK sheep flocks and between age groups within a flock.

Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep (2020)
Journal Article
Kaler, J., Mitsch, J., Vázquez-Diosdado, J. A., Bollard, N., Dottorini, T., & Ellis, K. A. (2020). Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep. Royal Society Open Science, 7(1), Article 190824. https://doi.org/10.1098/rsos.190824

Lameness in sheep is the biggest cause of concern regarding poor health and welfare among sheep producing countries. Best practice for lameness relies on rapid treatment, yet there are no objective measures of lameness detection. Use of accelerometer... Read More about Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep.