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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Title

Studies on the integrated nutrient management in Thompson Seedless grapes

en
Abstract

Field experiment was conducted with a view to elucidate the effect of integrated nutrient management on the productivity and quality of Thompson Seedless grapes using Randomized Block Design with seven treatments replicated thrice at the Regional Agricultural Research Station, Bijapur under telephone system for two years from 1998-2000. The treatments consisted of T(1)-Recommended dose of fertilizers, i.e., 300:500:1000 kg NPK/ha + Recommended dose of farmyard manure, i.e., 35 t/ha (RDF+RDFYM); T(2)- Recommended dose of fertilizers alone (RDF); T(3)- Recommended dose of farmyard manure alone (RDFYM); T(4)- Recommended dose of fertilizers wherein 50 percent nitrogen supplied through farmyard manure (RDFF); T(5)- Recommended dose of fertilizers wherein 50 percent nitrogen supplied through vermicompost (RDFV); T(6)-Recommended dose of fertilizers wherein 50 percent nitrogen supplied through green manure (Glyricidia) (RDFG) and T(7)- Recommended dose of fertilizers wherein 50 percent nitrogen supplied through poultry manure (RDFP). Number of bunches per vine was significantly higher in RDFV (45.58) as compared to other treatments, while 40.87, 40.44, 40.07 and 38.37 bunches per vine were found in RDF + RDFYM, RDFG, RDFF and RDFP, respectively, which were on par with each other. Bunch weight was significantly higher in RDF + RDFYM (255.84g) as compared to other treatments. This was followed by RDFV (235.00 g), RDF (235.00 g), RDFG (228.34 g) and RDFF (225.84 g), which were on par with each other. Berry diameter was more in RDF + RDFVM (13.77 mm), followed by RDFG (13.50 mm), RDFV (13.40 mm), RDFF (13.27 mm), RDFP (1124 mm) and RDF (13.24 mm) which were on par with each other. Highest berry weight (122.34 g) was recorded in RDFV followed by RDF + RDFYM (121.84 g) and RDFG (117.50 g) and these were on par with each other, but, significantly differed with other treatments. Bunch yield per vine in Thompson Seedless grapes was significantly increased by various INM treatments. Bunch yield was highest in RDFV (10.26 kg) followed by RDF + RDFYM (9.56 kg) and RDFG (8.76 kg), which did not differ significantly with each other, while these were superior over other treatments. RDFV recorded significantly higher yield per hectare (35.61 t/ha) as compared to other treatments. The next best treatment was RDF + RDFYM (33.17 t/ha). The pooled data on total soluble solids to acid ratio indicated the superiority of RDFV (40.58) followed by RDFG (40.21). Total soluble solids to acid ratio in other treatments did not differ significantly with each other.

en
Year
2008
en
Country
  • IN
Organization
  • Univ_Agr_Sci_Dharwad (IN)
Data keywords
  • rdf
en
Agriculture keywords
  • agriculture
en
Data topic
  • semantics
en
SO
PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON GRAPE PRODUCTION AND PROCESSING
Document type

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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.
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