All Outputs (8)

Quantitative Analysis of Colostrum Bacteriology on British Dairy Farms (2020)
Journal Article

© 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

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

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

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.

Automated prediction of mastitis infection patterns in dairy herds using machine learning (2020)
Journal Article

© 2020, The Author(s). Mastitis in dairy cattle is extremely costly both in economic and welfare terms and is one of the most significant drivers of antimicrobial usage in dairy cattle. A critical step in the prevention of mastitis is the diagnosis o... Read More about Automated prediction of mastitis infection patterns in dairy herds using machine learning.

Is it just about grazing? UK citizens have diverse preferences for how dairy cows should be managed (2020)
Journal Article

© 2020 American Dairy Science Association Conflicting views between the dairy industry and the public about how dairy cows should be managed, together with an increase in the availability of alternatives to dairy foods, challenge future markets for m... Read More about Is it just about grazing? UK citizens have diverse preferences for how dairy cows should be managed.

Field survey to evaluate space allowances for dairy cows in Great Britain (2020)
Journal Article

© 2020 American Dairy Science Association Housing conditions can affect health of cows by increasing exposure to biological, chemical, and physical hazards, resulting in increased disease. A report in 2014 indicated that 99% of UK dairy cows are hous... Read More about Field survey to evaluate space allowances for dairy cows in Great Britain.

Quantitative analysis of calf mortality in Great Britain (2020)
Journal Article

National bodies in Great Britain (GB) have expressed concern over young stock health and welfare and identified calf survival as a priority; however, no national data have been available to quantify mortality rates. The aim of this study was to quant... Read More about Quantitative analysis of calf mortality in Great Britain.