The school is addressed to French and International PhD students, all biologists and animal scientists (Post docs, educational staff and professional) interested in the robustness concept and the modelling tools to characterize it.
Basic notions on biology, mainly the concept of robustness is appreciated. You do not need to be modeller for participation in this school.
- Introduction to the robustness, animal adaptation and resilience faced with different types of perturbation (e.g. sanitary and nutritional challenges, heat stress and any types of environmental perturbations).
- State of the art of current problems in breeding programs for different species of farm animals and the influence on production performance: e.g. acidosis in ruminants, diarrhea at weaning for monogastrics, non-controlled environmental perturbations, etc.
- New technologies of phenotyping: from high throughput omic data at different levels to high frequency data of precision livestock systems.
- Statistical and mathematical methods for modelling and analysis of phenotyping data; to extract biological meaningful information, especially to quantify the robustness trait. In this part of the course, we explain that the type of data drives the choice of the adequate analysis strategy.
- Finally, we discuss the possibility for the farmers and breeding companies to apply these robustness indicators.
The school includes plenary lectures, practical works and seminars.
We put a focus on time dedicated to practical works and discussions (at least 50 percent of school time). Please, see the Final Programm
Course instructors Invited Speakers
Masoomeh Taghipoor (Inra, MoSAR) Florence Gondret (Inra, Pegase)
Celine Domange (AgroParisTech, MoSAR) Margaret Kelleher (ICBF)
Nicolas Friggens (Inra, MoSAR) Helen Leclerc (Inra, GABI)
Sylvie Giger Reverdin (Inra, MoSAR) Alban Bouquet (Ifip)
Christelle Loncke (AgroParisTech MoSAR) Jaap vanMilgen (Inra, Pegase)
Lucile Montagne (AgroCampusOuest, Pegase) Andrea Wilson (Royal School
Rafael Munoz Tamayo (Inra, MoSAR) of Veterinary Studies)
Philippe Schmidely (AgroParisTech, MoSAR)