The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Animal intestinal health is a complex trait and is determined by the interplay of animal nutrition, microbiota and host genetics. Complex traits can be better understood by using a systems biology approach. The ultimate goal of such an approach is to generate a solid knowledge-base and predictive frameworks on the different functionalities of the gut along its various spatial, temporal and environmental dimensions. Systems based knowledge and in silico models of the intestinal tract will be pivotal to fully exploit the biological potential of host-feed-microbe interactions in the gastrointestinal tract of livestock species to improve health traits. This chapter provides a brief introduction in the upcoming area of intestinal systems biology.
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