All Outputs (49)

Quantification of the effect of in-utero events on lifetime resilience in dairy cows (2024)
Journal Article

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.

Improvement of mammary gland health in 81 'sentinel herds' in England and Scotland between 2012 and 2021. (2023)
Journal Article

Background: Achieving a reduction in mastitis in dairy cows is a common industry goal, but there is no recent peer-reviewed record of progress in the UK. Methods: A convenience sample of 125 herds in England and Scotland was recruited based on the qu... Read More about Improvement of mammary gland health in 81 'sentinel herds' in England and Scotland between 2012 and 2021..

State of Knowledge on UK Agricultural Peatlands for Food Production and the Net Zero Transition (2023)
Journal Article

Agricultural peatlands are the most productive soils in the UK for the cultivation of many food crops. Historical drainage of peat for agriculture (i.e., cropland and managed grassland), without consideration of other associated environmental and cli... Read More about State of Knowledge on UK Agricultural Peatlands for Food Production and the Net Zero Transition.

Associations between Johne’s disease and fertility in UK dairy herds (2023)
Journal Article

The objective of this observational study was to quantify associations between Mycobacterium avium subspecies paratuberculosis (MAP) antibody status and a variety of fertility outcomes, in UK dairy cattle. Longitudinal milk recording, fertility and M... Read More about Associations between Johne’s disease and fertility in UK dairy herds.

Using a multi‐lens framework for landscape decisions (2023)
Journal Article

Landscape decisions are multi-faceted. Framing landscape decision-making as a governance process that requires a collective approach can encourage key stakeholders to come together to co-inform a discussion about their priorities and what constitutes... Read More about Using a multi‐lens framework for landscape decisions.

Potential of ESBL-producing Escherichia coli selection in bovine feces after intramammary administration of first generation cephalosporins using in vitro experiments (2022)
Journal Article

Selection and spread of Extended Spectrum Beta-Lactamase (ESBL) -producing Enterobacteriaceae within animal production systems and potential spillover to humans is a major concern. Intramammary treatment of dairy cows with first-generation cephalospo... Read More about Potential of ESBL-producing Escherichia coli selection in bovine feces after intramammary administration of first generation cephalosporins using in vitro experiments.

Potential use of APSIS-InSAR measures of the range of vertical surface motion to improve hazard assessment of peat landslides (2022)
Journal Article

Peat landslides represent a notable natural hazard that is difficult to assess across complex blanket bog terrain. To aid the assessment of peat landslide susceptibility, we propose a new metric, the range of vertical surface motion (RVSM), quantifie... Read More about Potential use of APSIS-InSAR measures of the range of vertical surface motion to improve hazard assessment of peat landslides.

Supplement: Identification of typical eco-hydrological behaviours using InSAR allows landscape-scale mapping of peatland condition (2022)
Working Paper

Identification of typical ecohydrological behaviours using InSAR allows landscape-scale mapping of peatland condition (2022)
Journal Article

Better tools for rapid and reliable assessment of global peatland extent and condition are urgently needed to support action to prevent further decline of peatlands. Peatland surface motion is a response to changes in the water and gas content of a p... Read More about Identification of typical ecohydrological behaviours using InSAR allows landscape-scale mapping of peatland condition.

Making Landscape Decisions to Meet Net Zero Carbon: Pathways that consider ethics, socio-ecological diversity, and landscape functions. (2022)
Report

Landscapes are an integral part of the net-zero challenge; not only are they carbon stores but they constitute the environments upon which humans develop their livelihoods, interact and shape their cultures. This report focuses on three key landsc... Read More about Making Landscape Decisions to Meet Net Zero Carbon: Pathways that consider ethics, socio-ecological diversity, and landscape functions..

Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands (2022)
Journal Article

Permafrost thaw resulting from climate warming is threatening to release carbon from high latitude peatlands. The aim of this research was to determine subsidence rates linked to permafrost thaw in sub-Arctic peatlands in Sweden using historical orth... Read More about Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands.

Multiscale Variability and the Comparison of Ground and Satellite Radar Based Measures of Peatland Surface Motion for Peatland Monitoring (2022)
Journal Article

Peatland surface motion is highly diagnostic of peatland condition. Interferometric Synthetic Aperture Radar (InSAR) can measure this at the landscape scale but requires ground validation. This necessitates upscaling from point to areal measures (80... Read More about Multiscale Variability and the Comparison of Ground and Satellite Radar Based Measures of Peatland Surface Motion for Peatland Monitoring.

NatureScot Research Report 1269 - Using peatland surface motion (bog breathing) to monitor Peatland Action sites (2021)
Report

Interferometric satellite radar (InSAR) provides a means of measuring peatland surface motion continuously and is not limited by scale or cloud cover. Previous InSAR investigations demonstrate the potential for InSAR to quantify surface motion and he... Read More about NatureScot Research Report 1269 - Using peatland surface motion (bog breathing) to monitor Peatland Action sites.

Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis (2021)
Journal Article

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.

Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test (2021)
Journal Article

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.

Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning (2021)
Journal Article

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.

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.

Discrimination of contagious and environmental strains of Streptococcus uberis in dairy herds by means of mass spectrometry and machine-learning (2018)
Journal Article

Streptococcus uberis is one of the most common pathogens of clinical mastitis in the dairy industry. Knowledge of pathogen transmission route is essential for the selection of the most suitable intervention. Here we show that spectral profiles acquir... Read More about Discrimination of contagious and environmental strains of Streptococcus uberis in dairy herds by means of mass spectrometry and machine-learning.

Spatial variability in shrub vegetation across dune forms in central Saudi Arabia (2018)
Journal Article

In desert dune environments, vegetation may be an indicator of dune stability and rates of sediment transport. As topography and underlying controls of vegetation vary over large spatial areas variations in dune form make scaling up of field research... Read More about Spatial variability in shrub vegetation across dune forms in central Saudi Arabia.

A multi-scale approach interpreting sediment processes and distribution from desert sand colour in central Saudi Arabia (2018)
Journal Article

In central Saudi Arabia the redness of sands observed on satellite imagery, often related to iron oxide amount, was used to better interpret geomorphic processes operating in the area. To compare variations between dune and interdune morphology, line... Read More about A multi-scale approach interpreting sediment processes and distribution from desert sand colour in central Saudi Arabia.