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
Impact Assessment of Arbuscular Mycorrhiza Azospirillum and Chemical Fertilizer Application on Soil Health and Ecology
The study was conducted at the Agricultural Experimental Farm of the Indian Statistical Institute, Giridih, Jharkhand, India, during the winter season of 20072008 and 20082009. Baby corn cob and green fodder yields were greatest in T15 [100% recommended dose of fertilizers (RDF) + arbuscular mycorrhiza (AM) + Azospirillum]. Soil organic carbon (SOC) and residual soil fertility (NPK) were greatest in T16 (150% RDF + AM + Azospirillum). In contrast, soil microbial load [colony-forming units (CFUs) of bacteria, diazotrophs, fungi, and Azospirillum], AM biomass, soil respiration, microbial biomass carbon, metabolic quotient, microbial quotient, and enzymes (urease and acid phosphatase) were greatest in T13 (absolute control + AM + Azospirillum) followed by T14 (50% RDF + AM + Azospirillum)]. The values of all these parameters declined drastically with the increasing percentages of RDF. Coinoculated plots built up greater soil fertility and SOC.
Inappropriate format for Document type, expected simple value but got array, please use list format