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
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.
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