Researchers have developed a new method of detecting a metabolic disease that affects dairy cows after calving. The aim is to determine whether cows are at risk of contracting the disease before they actually become sick.
The idea behind the new method is to combine data from the analysis of a cow's milk with other information about the cow to predict future progression in the animal's health.
The project is being coordinated by NMBU, with SINTEF and the Norwegian Institute of Food, Fisheries and Aquaculture Research acting as project partners. The research team has used data taken from milk sample analyses to develop a model that can detect the presence of the metabolic disease subclinical ketosis.After calving, a cow's energy requirements increase by between five- and six-fold.
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