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All Outputs (129)

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.

A randomised controlled trial to evaluate the impact of indoor living space on dairy cow production, reproduction and behaviour (2022)
Journal Article
Thompson, J. S., Hudson, C. D., Huxley, J. N., Kaler, J., Robinson, R. S., Woad, K. J., …Green, M. J. (2022). A randomised controlled trial to evaluate the impact of indoor living space on dairy cow production, reproduction and behaviour. Scientific Reports, 12(1), Article 3849. https://doi.org/10.1038/s41598-022-07826-9

As a global society, we have a duty to provide suitable care and conditions for farmed livestock to protect animal welfare and ensure the sustainability of our food supply. The suitability and biological impacts of housing conditions for intensively... Read More about A randomised controlled trial to evaluate the impact of indoor living space on dairy cow production, reproduction and behaviour.

The effect of environmental temperature on average daily gain in preweaned calves: A randomized controlled trial and Bayesian analysis (2022)
Journal Article
Hyde, R. M., Green, M. J., Hudson, C., & Down, P. M. (2022). The effect of environmental temperature on average daily gain in preweaned calves: A randomized controlled trial and Bayesian analysis. Journal of Dairy Science, 105(4), 3430-3439. https://doi.org/10.3168/jds.2021-21199

Neonatal calves are relatively susceptible to heat loss, and previous research suggests that reduced environmental temperatures are associated with reduced average daily gain (ADG) during the preweaning phase. Current methods of mitigating negative e... Read More about The effect of environmental temperature on average daily gain in preweaned calves: A randomized controlled trial and Bayesian analysis.

Cattle farmer psychosocial profiles and their association with control strategies for bovine viral diarrhea (2022)
Journal Article
Prosser, N. S., Green, M. J., Ferguson, E., Tildesley, M. J., Hill, E. M., Keeling, M. J., & Kaler, J. (2022). Cattle farmer psychosocial profiles and their association with control strategies for bovine viral diarrhea. Journal of Dairy Science, 105(4), 3559-3573. https://doi.org/10.3168/jds.2021-21386

Bovine viral diarrhea (BVD) is endemic in the United Kingdom and causes major economic losses. Control is largely voluntary for individual farmers and is likely to be influenced by psychosocial factors, such as altruism, trust, and psychological prox... Read More about Cattle farmer psychosocial profiles and their association with control strategies for bovine viral diarrhea.

Preventive hoof trimming in dairy cattle: Determining current practices and identifying future research areas (2022)
Journal Article
Pedersen, S. I., Huxley, J. N., Hudson, C. D., Green, M. J., & Bell, N. J. (2022). Preventive hoof trimming in dairy cattle: Determining current practices and identifying future research areas. Veterinary Record, https://doi.org/10.1002/vetr.1267

Background: The extent to which preventive hoof trimming is implemented on Great Britain's (GB) dairy farms is unknown. The aims of this study were to determine common practices and capture producers’ input on key areas that require further research.... Read More about Preventive hoof trimming in dairy cattle: Determining current practices and identifying future research areas.

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.

Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis (2021)
Journal Article
Esener, N., Guerra, A. M., Giebel, K., Lea, D., Green, M. J., Bradley, A. J., & Dottorini, T. (2021). Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis. PLoS Computational Biology, 17(6), Article e1009108. https://doi.org/10.1371/journal.pcbi.1009108

Staphylococcus aureus is a serious human and animal pathogen threat exhibiting extraordinary capacity for acquiring new antibiotic resistance traits in the pathogen population worldwide. The development of fast, affordable and effective diagnostic... Read More about Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis.

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.

Multiple model triangulation to identify factors associated with lameness in British sheep flocks (2021)
Journal Article
Lewis, K., Green, M., Witt, J., & Green, L. (2021). Multiple model triangulation to identify factors associated with lameness in British sheep flocks. Preventive Veterinary Medicine, 193, Article 105395. https://doi.org/10.1016/j.prevetmed.2021.105395

Identification of factors associated with an outcome can be challenging when the number of explanatory variables is large in relation to the number of observations. Multiple model triangulation, where results from several model types are combined, im... Read More about Multiple model triangulation to identify factors associated with lameness in British sheep flocks.

Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test (2021)
Journal Article
Swinkels, J., Leach, K., Breen, J., Payne, B., White, V., Green, M., & Bradley, A. (2021). Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test. Journal of Dairy Science, Article 19258. https://doi.org/10.3168/jds.2020-19258

Selective use of antibiotic dry cow treatment can be implemented at the cow or quarter level, with the latter having the potential to further reduce antibiotic use. Our objective was to compare these 2 approaches in 6 herds in the United Kingdom in w... Read More about Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test.

Estimation of the serial interval and proportion of pre-symptomatic transmission events of COVID??19 in Ireland using contact tracing data (2021)
Journal Article
McAloon, C. G., Wall, P., Griffin, J., Casey, M., Barber, A., Codd, M., …More, S. J. (2021). Estimation of the serial interval and proportion of pre-symptomatic transmission events of COVID− 19 in Ireland using contact tracing data. BMC Public Health, 21, Article 805. https://doi.org/10.1186/s12889-021-10868-9

Background The serial interval is the period of time between the onset of symptoms in an infector and an infectee and is an important parameter which can impact on the estimation of the reproduction number. Whilst several parameters influencing in... Read More about Estimation of the serial interval and proportion of pre-symptomatic transmission events of COVID??19 in Ireland using contact tracing data.

Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning (2021)
Journal Article
Maciel-Guerra, A., Esener, N., Giebel, K., Lea, D., Green, M. J., Bradley, A. J., & Dottorini, T. (2021). Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning. Scientific Reports, 11(1), Article 7736. https://doi.org/10.1038/s41598-021-87300-0

Streptococcus uberis is one of the leading pathogens causing mastitis worldwide. Identification of S. uberis strains that fail to respond to treatment with antibiotics is essential for better decision making and treatment selection. We demonstrate th... Read More about Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning.

A history of lameness and low body condition score is associated with reduced digital cushion volume, measured by magnetic resonance imaging, in dairy cattle (2021)
Journal Article
Wilson, J., Randall, L., Green, M., Rutland, C., Bradley, C., Ferguson, H., …Huxley, J. (2021). A history of lameness and low body condition score is associated with reduced digital cushion volume, measured by magnetic resonance imaging, in dairy cattle. Journal of Dairy Science, https://doi.org/10.3168/jds.2020-19843

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.

Morphology, adipocyte size, and fatty acid analysis of dairy cattle digital cushions, and the effect of body condition score and age (2021)
Journal Article
Newsome, R. F., Mostyn, A., Wilson, J. P., Alibhai, A., Bollard, N., Randall, L., …Rutland, C. S. (2021). Morphology, adipocyte size, and fatty acid analysis of dairy cattle digital cushions, and the effect of body condition score and age. Journal of Dairy Science, 104(5), https://doi.org/10.3168/jds.2020-19388

The digital cushion is an essential part of maintaining a healthy foot, working to dissipate foot strike and body weight forces and lameness from claw horn disruption lesions. Despite the importance of the digital cushion, little is known about the b... Read More about Morphology, adipocyte size, and fatty acid analysis of dairy cattle digital cushions, and the effect of body condition score and age.

Quantitative Analysis of Colostrum Bacteriology on British Dairy Farms (2020)
Journal Article
Hyde, R. M., Green, M. J., Hudson, C., & Down, P. M. (2020). Quantitative Analysis of Colostrum Bacteriology on British Dairy Farms. Frontiers in Veterinary Science, 7, https://doi.org/10.3389/fvets.2020.601227

© Copyright © 2020 Hyde, Green, Hudson and Down. Total bacterial counts (TBC) and coliform counts (CC) were estimated for 328 colostrum samples from 56 British dairy farms. Samples collected directly from cows' teats had lower mean TBC (32,079) and C... Read More about Quantitative Analysis of Colostrum Bacteriology on British Dairy Farms.

Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research (2020)
Journal Article
McAloon, C., Collins, Á., Hunt, K., Barber, A., Byrne, A. W., Butler, F., …More, S. J. (2020). Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research. BMJ Open, 10(8), Article e039652. https://doi.org/10.1136/bmjopen-2020-039652

Objectives: The aim of this study was to conduct a rapid systematic review and meta-analysis of estimates of the incubation period of COVID-19. Design: Rapid systematic review and meta-analysis of observational research. Setting: International... Read More about Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research.

Individual and herd-level milk ELISA test status for Johne's disease in Ireland after correcting for non-disease-associated variables (2020)
Journal Article
McAloon, C. G., O'Grady, L., Botaro, B., More, S. J., Doherty, M., Whyte, P., …Green, M. (2020). Individual and herd-level milk ELISA test status for Johne's disease in Ireland after correcting for non-disease-associated variables. Journal of Dairy Science, 103(10), 9345-9354. https://doi.org/10.3168/jds.2019-18018

Antibody-detecting tests for Mycobacterium avium ssp. paratuberculosis (MAP) have low sensitivity and imperfect specificity for detection of infection. Sensitivity increases as the disease progresses. Aside from infection status and stage of disease,... Read More about Individual and herd-level milk ELISA test status for Johne's disease in Ireland after correcting for non-disease-associated variables.

Variable selection for inferential models with relatively high-dimensional data: Between method heterogeneity and covariate stability as adjuncts to robust selection (2020)
Journal Article
Lima, E., Davies, P., Kaler, J., Lovatt, F., & Green, M. (2020). Variable selection for inferential models with relatively high-dimensional data: Between method heterogeneity and covariate stability as adjuncts to robust selection. Scientific Reports, 10, https://doi.org/10.1038/s41598-020-64829-0

Variable selection in inferential modelling is problematic when the number of variables is large relative to the number of data points, especially when multicollinearity is present. A variety of techniques have been described to identify ‘important’... Read More about Variable selection for inferential models with relatively high-dimensional data: Between method heterogeneity and covariate stability as adjuncts to robust selection.