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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Physiological attributes of chickpea (Cicer arietinum L.) as influenced by integrated organic nutrient management practices in vertisol


A field experiment was conducted for two consecutive years to study physiological attributes of chickpea (Cicer arietinum L.) as influenced by integrated organic nutrient management practices in vertisol at Agricultural Research Station, Annigeri, UAS, Dharwad, Karnataka during rabi seasons of 2009-10 and 2010-11. The experiment was laid out in RCBD with three replications. There were 18 treatment combinations consisting of four different organic manures in combination viz., farm yard manure (FYM), vermicompost (VC), glyricidia leaf manure (GLM), enriched compost (EC) and neem cake (NC), and four different liquid manures viz., panchagavya, biodigester, cow urine and vermiwash with two control treatments RDF and absolute control (water spray). Various growth attributes like leaf area, leaf area index, AGR, RGR and CGR were worked out using standard procedures. The maximum values of growth/physiological attributes were recorded with the treatment EC 1/3rd+VC 1/3rd+GLM 1/3rd equivalent to 100% RDN+panchagavya @ 3% at flower initiation and 15 DAF during both the years.

  • IN
    Data keywords
    • rdf
    Agriculture keywords
    • agriculture
    • farm
    Data topic
    • semantics
    Document type

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

    Institutions 10 co-publis
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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.