All Outputs (9)

Quantification of the effect of in-utero events on lifetime resilience in dairy cows (2024)
Journal Article
Lewis, K., Shewbridge Carter, L., Bradley, A., Dewhurst, R., Forde, N., Hyde, R., …Green, M. (2024). Quantification of the effect of in-utero events on lifetime resilience in dairy cows. Journal of Dairy Science, https://doi.org/10.3168/jds.2023-24215

Currently, the dairy industry is facing many challenges that could affect its sustainability, including climate change and public perception of the industry. As a result, interest is increasing in the concept of identifying resilient animals, those w... Read More about Quantification of the effect of in-utero events on lifetime resilience in dairy cows.

Comparison of multiple international metrics for benchmarking antibiotic usage (ABU) using UK beef and sheep data. (2023)
Journal Article
Davies, P., Hyde, R., & Corbishley, A. (2023). Comparison of multiple international metrics for benchmarking antibiotic usage (ABU) using UK beef and sheep data. Journal of Antimicrobial Chemotherapy, 78(10), 2496–2504. https://doi.org/10.1093/jac/dkad259

Accurate surveillance of livestock antibiotic usage (ABU) at the farm level is an increasingly important part of national antibiotic stewardship initiatives. Numerous ABU indicators or metrics have been developed in Europe and North America but the c... Read More about Comparison of multiple international metrics for benchmarking antibiotic usage (ABU) using UK beef and sheep data..

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.

Serum 1H nuclear magnetic resonance–based metabolomics of sole lesion development in Holstein cows (2023)
Journal Article
Barden, M., Phelan, M. M., Hyde, R., Anagnostopoulos, A., Griffiths, B. E., Bedford, C., …Oikonomou, G. (2023). Serum 1H nuclear magnetic resonance–based metabolomics of sole lesion development in Holstein cows. Journal of Dairy Science, 106(4), 2667-2684. https://doi.org/10.3168/jds.2022-22681

Sole hemorrhage and sole ulcers, referred to as sole lesions, are important causes of lameness in dairy cattle. We aimed to compare the serum metabolome of dairy cows that developed sole lesions in early lactation with that of cows that remained unaf... Read More about Serum 1H nuclear magnetic resonance–based metabolomics of sole lesion development in Holstein cows.

Stability selection for mixed effect models with large numbers of predictor variables: A simulation study (2022)
Journal Article
Hyde, R., O'Grady, L., & Green, M. (2022). Stability selection for mixed effect models with large numbers of predictor variables: A simulation study. Preventive Veterinary Medicine, 206, Article 105714. https://doi.org/10.1016/j.prevetmed.2022.105714

Covariate selection when the number of available variables is large relative to the number of observations is problematic in epidemiology and remains the focus of continued research. Whilst a variety of statistical methods have been developed to atte... Read More about Stability selection for mixed effect models with large numbers of predictor variables: A simulation study.

Identifying associations between management practices and antimicrobial resistances of sentinel bacteria recovered from bulk tank milk on dairy farms (2022)
Journal Article
McLaughlin, D., Bradley, A., Dottorini, T., Giebel, K., Leach, K., Hyde, R., & Green, M. (2022). Identifying associations between management practices and antimicrobial resistances of sentinel bacteria recovered from bulk tank milk on dairy farms. Preventive Veterinary Medicine, 204, Article 105666. https://doi.org/10.1016/j.prevetmed.2022.105666

There is increasing emphasis on the need to reduce antimicrobial use (AMU) on dairy farms to reduce the emergence of resistant bacteria which could compromise animal health and impact human medicine. In addition to AMU, the role of farm management is... Read More about Identifying associations between management practices and antimicrobial resistances of sentinel bacteria recovered from bulk tank milk on dairy farms.

Improving growth rates in preweaning calves on dairy farms: A randomized controlled trial (2021)
Journal Article
Hyde, R. M., Green, M. J., Hudson, C., & Down, P. M. (2022). Improving growth rates in preweaning calves on dairy farms: A randomized controlled trial. Journal of Dairy Science, 105(1), 782-792. https://doi.org/10.3168/jds.2021-20947

Previous research has identified key factors associated with improved average daily gain (ADG) in preweaning dairy calves and these factors have been combined to create a web app–based calf health plan (www.nottingham.ac.uk/herdhealthtoolkit). A rand... Read More about Improving growth rates in preweaning calves on dairy farms: A randomized controlled trial.

Practical data skills for the farm animal vet (2021)
Journal Article
Hyde, R., Green, M., Hudson, C., & Remnant, J. (2021). Practical data skills for the farm animal vet. In Practice, 43(5), 257-268. https://doi.org/10.1002/inpr.53

Background: While farm animal veterinarians receive extensive training in the diagnosis and treatment of individual animals, population medicine or ‘herd health’ has also become commonplace in modern production animal veterinary medicine. Clinicians... Read More about Practical data skills for the farm animal vet.

Factors associated with daily weight gain in preweaned calves on dairy farms (2021)
Journal Article
Down, P. M., Hudson, C., Green, M. J., & Hyde, R. M. (2021). Factors associated with daily weight gain in preweaned calves on dairy farms. Preventive Veterinary Medicine, 190, Article 105320. https://doi.org/10.1016/j.prevetmed.2021.105320

The preweaning period is vital in the development of calves on dairy farms and improving daily liveweight gain (DLWG) is important to both financial and carbon efficiency; minimising rearing costs and improving first lactation milk yields. In order t... Read More about Factors associated with daily weight gain in preweaned calves on dairy farms.