The overall sustainability and innovative capacity of the sheep and goat sector in Europe have to be improved to cope with current and future economic, environmental and societal challenges. Innovations in genetic resource management and breeding for sheep and goat populations will be explored in the iSAGE European project (WP5) in order to help the industry to cope with such future challenges. In France, genetic evaluation for small ruminants is performed in a large variability and poorly characterized environments. In this regard, we will consider multi-generation data from existing French breeding programs and experimental field studies. Effects of herd for traits under genetic selection will be investigated in commercial farms in order to better characterize the production environment, particularly using meteorological data but also feeding, breeding system and economic criteria. Such characterization will enable to follow-up trends in animal performances according to weather changes. This work could also contribute to characterize farm typologies to which a set of sustainability indicators will be tested. Then, contrasted environments will be identified and genotype by environment interactions studies will be carried out aiming to improve genetic selection efficiency in a variety of environments. In addition to existing data, we will explore new phenotypes considered as key functional traits for robustness and for which stakeholders are particularly interested. These new phenotypes will be also explored in combination with feed efficiency in experimental facilities under contrasted environments or under feed shortage challenges. Genetic and genomic studies will be performed for new phenotypes used to assess individual robustness. The total merit indices will be revisited from the technical and economic point of view in order to evaluate economic weights of each trait in the "breeding goal", for diversified production systems.