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.

You can access and play with the graphs:

Discover all records
Home page


Meta-QTL analysis of the genetic control of crop height in elite European winter wheat germplasm


In bread wheat (Triticum aestivum L.), crop height is an important determinant of agronomic performance. The aim of this study was to identify genes controlling variation in crop height segregating in elite European winter wheat germplasm. Four doubled haploid populations derived from the crosses Avalon x Cadenza, Savannah x Rialto, Spark x Rialto and Charger x Badger were selected, representing wide diversity in European winter wheat breeding programmes. Genetic maps based on simple sequence repeat (SSR) and Diversity Arrays Technology (DArT) markers were constructed for each population. One hundred and four significant quantitative trait loci (QTL) were identified in the four populations. A meta-analysis was conducted and the effects condensed into sixteen meta-QTL on chromosomes 1A, 1B, 1D, 2A (two meta-QTL), 2B, 2D, 3A, 3B, 4B, 4D, 5A, 5B, 6A, 6B and 6D. These include QTL with additive effects equivalent to Rht-D1 and a potentially new allele of Rht8. The description of these effects offers new opportunities for the manipulation of crop height, biomass and yield in wheat breeding programmes.

  • GB
  • BBSRC_Biotech_&_Biol_Sci_Res_Council (UK)
Data keywords
Agriculture keywords
    Data topic
    • big data
    Document type

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

    Institutions 10 co-publis
    • BBSRC_Biotech_&_Biol_Sci_Res_Council (UK)
    Powered by Lodex 8.20.3
    logo commission europeenne
    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.