All Outputs (2)

Predicting lameness in dairy cattle using untargeted liquid chromatography–mass spectrometry-based metabolomics and machine learning (2023)
Journal Article
Randall, L. V., Kim, D., Abdelrazig, S. M., Bollard, N. J., Hemingway-Arnold, H., Hyde, R. M., …Green, M. J. (2023). Predicting lameness in dairy cattle using untargeted liquid chromatography–mass spectrometry-based metabolomics and machine learning. Journal of Dairy Science, 106(10), 7033-7042. https://doi.org/10.3168/jds.2022-23118

Lameness in dairy cattle is a highly prevalent condition that impacts on the health and welfare of dairy cows. Prompt detection and implementation of effective treatment is important for managing lameness. However, major limitations are associated wi... Read More about Predicting lameness in dairy cattle using untargeted liquid chromatography–mass spectrometry-based metabolomics and machine learning.

Use of qualitative behavioural assessment to investigate affective states of housed dairy cows under different environmental conditions (2023)
Journal Article
Russell, A. L., Randall, L. V., Kaler, J., Eyre, N., & Green, M. J. (2023). Use of qualitative behavioural assessment to investigate affective states of housed dairy cows under different environmental conditions. Frontiers in Veterinary Science, 10, Article 1099170. https://doi.org/10.3389/fvets.2023.1099170

In addition to the reduction of suboptimal welfare, there is now a need to provide farmed animals with positive opportunities to provide confidence that they have experienced a life worth living. Diversification of the environment through environment... Read More about Use of qualitative behavioural assessment to investigate affective states of housed dairy cows under different environmental conditions.