- Milk Quality and Mastitis in Dairy Cows
- Animal Behavior and Welfare Studies
- Probiotics and Fermented Foods
- Microbial infections and disease research
- Genetic and phenotypic traits in livestock
- Agriculture and Farm Safety
- Advanced Chemical Sensor Technologies
- Identification and Quantification in Food
- Human-Animal Interaction Studies
- Food Supply Chain Traceability
- Reproductive Physiology in Livestock
Tine (Norway)
2017-2024
Norwegian University of Life Sciences
2017-2019
Rapid and accurate diagnosis of causative pathogens in mastitis would minimize the imprudent use antibiotics and, therefore, reduce spread antimicrobial resistance. Whole genome sequencing offers a unique opportunity to study microbial community resistance (AMR) mastitis. However, complexity milk samples presence high amount host DNA from infected udders often make this very challenging.Here, we tested 24 bovine (18 six non-mastitis) using four different commercial kits (Qiagens' DNeasy®...
Fully automated on-line analysis equipment is available for of somatic cell count (SCC) at every milking in automatic systems. In addition to results from counters (OCC), an array additional cow-level and quarter-level factors considered important udder health are recorded these However, the amount variability SCC that can be explained by data unknown, so proportion may due physiological or normal variability. Our aim was increase our knowledge on OCC as indicator disturbances assessing cows...
Stockmanship is an important determinant for good animal welfare and health. The goal of the FarmMERGE project to investigate associations between farmer health work environment, health, productivity their livestock. We merged several livestock industry databases with a major total population-based study in Norway (The Trøndelag Health Study 2017–2019 (HUNT4)). This paper describes project’s collection merging data, cohort farmers farms that were identified as result our registry merge....
Having a poor teat-end condition is associated with increased mastitis risk, hence avoiding milking machine settings that have negative effect on important for successful dairy production. Milking-time testing (MTT) can be used in the evaluation of vacuum conditions during milking, but method less suited herds using automatic systems (AMS) and relationships teat end poorly described. This study aimed to increase knowledge interpretation MTT AMS assess whether milk-flow data obtained...
Milking-time testing (MTT) is a method for evaluating the vacuum conditions in teatcup during milking. The purpose to evaluate possible impact of milking and equipment on udder health milk quality. commonly implemented by herd advisory services, but results are interpreted empirically due lack scientific documentation relationships between MTT result variables objective measures health. current study was conducted increase our understanding associations cow-level differences composite...
We present a novel deterministic modelling approach that describes the transmission dynamics of intramammary infections (IMI) caused by Corynebacterium spp. (Corynebacterium species) in US dairy herd. Longitudinal, quantitative, dynamic models are likely to be valuable for predicting outbreak risk, quantify effectiveness response tactics and performing planning. In this paper, we established an based on SIS compartmental model subject appropriate unknown parameters estimated within lactation...
We present a deterministic mathematical model that describes the transmission dynamics of intramammary infections (IMI) caused by Corynebacterium spp. (Corynebacterium species) in lactating dairy herds. Longitudinal, quantitative, dynamic models are likely to be valuable for predicting outbreak risk, quantify effectiveness response tactics and performing planning. Previous investigations on IMI have considered several bacterial pathogens, but not spp., modelling investigations. established...
A multiphase modeling approach that describes the transmission dynamics of intramammary infections (IMI) caused by Corynebacterium species in US dairy herd is presented this paper. It based on stratification days study (calendar days) several strata and spp. using lactation month (months since last calving) as time variable within each separate strata. The real data, which modelling was based, were obtained a field trial conducted New York (US).