e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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.

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The role of soil series in quantitative land evaluation when expressing effects of climate change and crop breeding on future land use


Climate change and the development of new plant hybrids raise questions about future agricultural land use potentials that cannot be answered by expert knowledge based on past experience. This case study for maize cultivation in the Destra Sele region in southern Italy applied therefore the SWAP (Soil-Water-Atmosphere-Plant) simulation model to explore the effects of limited water availability under future climate conditions on growth of eleven maize hybrids. Five selected soil series were analyzed. Compared with optimal water availability by irrigation, results were significantly different for 80% and 60% water availability with respect to different hybrids and soil series. The soil series are distinguished by stable criteria, allowing, in principle, their use as "class pedotransfer functions" not only in space but also in time, reflecting effects of climate change by 2050. Presenting alternative land use options by simulations rather than empirical conclusions about limitations or suitabilities is attractive for land evaluation, allowing a pro-active and interactive approach by soil scientists vis-a-vis farmers, hydraulic engineers, crop breeders and policy makers. (C) 2015 Elsevier B.V. All rights reserved.

  • IT
  • NL
  • CNR_Natl_Res_Council (IT)
  • Wageningen_Univ_and_Res_Ctr_WUR (NL)
Data keywords
  • knowledge
  • knowledge based
Agriculture keywords
  • agriculture
Data topic
  • modeling
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • CNR_Natl_Res_Council (IT)
  • Wageningen_Univ_and_Res_Ctr_WUR (NL)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.