The unit > Our teams > Team DINAMIC – Feed, Digestion, Microbes, Metabolism, Nutrition

Team DINAMIC – Feed, Digestion, Microbes, Metabolism, Nutrition

The aim of DINAMIC is to understand the intake, and digestive (including microbial) and metabolic mechanisms allowing to monitor nutrition of ruminants considering several dimensions: efficiency of feed utilisation, environmental services/disservices (including limitation of enteric methane emissions and nitrogen wastes), but also digestive comfort, and quality of products. DINAMIC contributes to the design of ruminants feeding systems based on non-human-edible resources. This involves the following lines of research:

  • Characterisation of ruminant feeds (including new resources) and diets (including mixed diets), and development of prediction methods, to assess the dimensions listed above;
  • Quantification of intake, digestive and metabolic fluxes of nutrients to understand and predict the responses of digestion and metabolism to variations of intake and diet composition, and to develop indicators of digestive and metabolic functions;
  • Characterisation of the digestive microbial ecosystem and its interactions with the diet and the host, to understand and control the metabolism of the holobiont (i.e. microbiota & host as an entity).


DINAMIC conducts studies on the biochemistry of feeds (including bioactive secondary compounds) and their utilisation by the animal through in vivo approaches: quantification of intake, digestive and metabolic fluxes of nutrients (including N) and gas (including enteric methane), but also through alternative approaches, including in vitro fermentation and in situ degradation.  Analytical predictive methods of feed composition and nutritive value using near infrared spectroscopy (NIRS) are used. The digestive microbial ecosystem, including its interactions with the host, is characterised through molecular and genomic approaches. Isotopomics and metabolomics approaches help to highlight indicators of digestive and metabolic efficiency. Empirical modelling and meta-analysis supports the integration of knowledge and contributes to the evolution of feed evaluation systems and feed tables.





Techniques to measure enteric methane emissions in ruminants : SF6, Respiration chambers, GreenFeed


Contact : Pierre Nozière

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