To reduce methane (CH) emissions of dairy cows by animal breeding, CH measurements have to be recorded on thousands of individual cows. Currently, several techniques are used to phenotype cows for CH, differing in costs and applicability. However, there is uncertainty about the agreement between techniques.
View Article and Find Full Text PDFApproximately 500 patients per year are admitted to the emergency department (ED) of the Erasmus University Medical Center presenting with intoxications with medication. For adequate treatment, it is sometimes important to know which drugs in which quantities were ingested. This can require laboratory analysis of blood or urine samples; however, these samples do not provide information about the possible effects that can still be expected.
View Article and Find Full Text PDFIn mitigating greenhouse gas (GHG) emissions and reducing the carbon footprint of dairy milk, the use of generic estimates in inventory and accounting methodology at farm level largely ignores variation of on-farm GHG emissions. The present study aimed to implement results of an extant dynamic, mechanistic Tier 3 model for enteric methane (CH4) (applied in Dutch national GHG inventory) in order to capture variation in enteric CH4 emission, and in faecal N and organic matter (OM) digestibility, ultimately required to predict manure CH4 and ammonia emission. Tier 3 model predictions were translated into calculation rules that could easily be implemented in an annual nutrient cycling assessment tool including GHG emissions, which is currently used by Dutch dairy farmers.
View Article and Find Full Text PDFIntroduction: Current drug dosing in preterm infants is standardized, mostly based on bodyweight. Still, covariates such as gestational and postnatal age may importantly alter pharmacokinetics and pharmacodynamics. Evaluation of drug therapy in these patients is very difficult because objective pharmacodynamic parameters are generally lacking.
View Article and Find Full Text PDFGrassland-based ruminant production systems are integral to sustainable food production in Europe, converting plant materials indigestible to humans into nutritious food, while providing a range of environmental and cultural benefits. Climate change poses significant challenges for such systems, their productivity and the wider benefits they supply. In this context, grassland models have an important role in predicting and understanding the impacts of climate change on grassland systems, and assessing the efficacy of potential adaptation and mitigation strategies.
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