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
A roadmap for research on crassulacean acid metabolism (CAM) to enhance sustainable food and bioenergy production in a hotter, drier world
Crassulacean acid metabolism (CAM) is a specialized mode of photosynthesis that features nocturnal CO2 uptake, facilitates increased water-use efficiency (WUE), and enables CAM plants to inhabit water-limited environments such as semi-arid deserts or seasonally dry forests. Human population growth and global climate change now present challenges for agricultural production systems to increase food, feed, forage, fiber, and fuel production. One approach to meet these challenges is to increase reliance on CAM crops, such as Agave and Opuntia, for biomass production on semi-arid, abandoned, marginal, or degraded agricultural lands. Major research efforts are now underway to assess the productivity of CAM crop species and to harness the WUE of CAM by engineering this pathway into existing food, feed, and bioenergy crops. An improved understanding of CAM has potential for high returns on research investment. To exploit the potential of CAM crops and CAM bioengineering, it will be necessary to elucidate the evolution, genomic features, and regulatory mechanisms of CAM. Field trials and predictive models will be required to assess the productivity of CAM crops, while new synthetic biology approaches need to be developed for CAM engineering. Infrastructure will be needed for CAM model systems, field trials, mutant collections, and data management.
- ORNL_Oak_Ridge_Natl_Lab (US)
- Brown_Univ (US)
- Univ_Cambridge (UK)
- Univ_Oxford (UK)
- Univ_Liverpool (UK)
- Univ_Illinois_Urbana_Champaign (US)
- Univ_Tennessee_Knoxville (US)
- Katholieke_Univ_Leuven (BE)
- Univ_Sao_Paulo_USP (BR)
- Univ_Toronto (CA)
- US_DOE_US_Dept_Energy (US)
- James_Cook_Univ_JCU (AU)
- Univ_Nevada_Reno (US)
- Newcastle_Univ (UK)
- Fujian_Agr_&_Forestry_Univ (CN)
- Brigham_Young_Univ_BYU (US)
- CAF_Chinese_Acad_Forestry (CN)
- Ohio_Univ_Athens (US)
- HudsonAlpha_Inst_Biotechnol (US)
Inappropriate format for Document type, expected simple value but got array, please use list format