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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Precision nutrient and conservation agriculture practices for enhancing productivity, profitability, nutrient-use efficiencies and soil nutrient status of maize (Zea mays) hybrids


A field experiment was conducted at New Delhi during kharif season to study the effect of precision nutrient and conservation agriculture practices for enhancing productivity, profitability, nutrient-use efficiencies and soil nutrient status of maize (Zea mays L) hybrids. Using nutrient expert system based site-specific nutrient management (SSNM) practices higher dose of K and N while lower dose of P were estimated for hybrid maize over recommended dose of fertilizers (RDF). Data of the previous crop, target yield, residue management and soil nutrient status were entered in the nutrient expert system. The significant interaction of SSNM and hybrids showed that hybrid PMH 3 along with site specific nutrient management (SSNM) produced significantly higher grain yield under conservation agriculture. The SSNM practice gave 14.7% higher grain yield (5 491 kg/ha) over RDF (4 182 kg/ha). Significantly higher gross return, net return ([SIC] 41 137) and B:C ratio (1.57) was obtained with SSNM and the net returns of the maize were improved by [SIC] 7 856/ha by SSNM over RDF. Amongst genotypes, PMH 3 produced significantly higher gross, net return and B:C ratio over HQPM 1, however, it remained at par with PMH 1, S 6217 and CMH 08-292. Significantly higher partial factor productivity of applied N, P and K was obtained with 50% RDF while it remained at par for applied P by SSNM. Significantly highest agronomic efficiency of applied N and P was obtained with SSNM while for applied K it was significantly highest with 50% RDF. Initially before crop sowing, significantly highest organic carbon in soil was in 100% RDF plots. However, significantly higher organic carbon build up was obtained with SSNM which remained at par with 100% RDF, after crop harvest. In SSNM plots, significantly higher ammonical nitrogen and potassium was observed after maize harvest.

  • IN
  • ICAR_Indian_Council_Agr_Res (IN)
Data keywords
  • rdf
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • decision support
  • semantics
Document type

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

Institutions 10 co-publis
  • ICAR_Indian_Council_Agr_Res (IN)
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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.