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.

You can access and play with the graphs:

Discover all records
Home page


Combining ability and reciprocal effect on agronomical traits of bean


The objective of this study was to evaluate the general combining ability of parents involved in crosses, and specific combining ability of hybrids, as well as reciprocal effect on six agronomic traits in common bean: cycle, plant height, first pod insertion, diameter stem, number of pods per plant and number of grains per pod. The experiment was conducted in a greenhouse, where were performe the diallel cross, interbreeding the six parents: Xan 159, Perola, BAF 63, IPR Uirapuru, BRS Supremo, BRS Valente, generating thirty six combinations. The F-1 seeds with the parents were taken to the field in a completely randomized design with two repetitions of the thirty-six combinations obtained, totaling seventy-two plot and each plant was considered an observation unit, which is unequal number of plants in different hybrid combinations. The harvested plants were evaluated for six characters, and later performed the statistical analysis using Griffing's Method I. With respect to general combining ability to cultivate Perola is considered promising for the Santa Catarina's plateau. Based on the specific ability the best combinations were Xan 159 x BRS Supremo, Xan 159 x BRS Valente, Perola x BAF 63, BAF 63 x IPR Uirapuru and BAF 63 x BRS Valente. The values for the reciprocal effect was also significant indicating that there is the presence of effect of cytoplasmic and nuclear genes in the female parent traits, The genotype indicated as a good parent females and male based on the reciprocal effect is the access BAF 63, when are wish to increase EST and NLP. The line Xan 159 was promising when used as female parent to increase cycle, EST, IPL, DC, NLP and NGL. The cultivars BRS Valente and IPR Uirapuru are identified as male parents to provide an increase in the cycle, EST, IPL, DC, NLP and NGL.

  • BR
  • Univ_Estadual_Maringa_UEM (BR)
  • Univ_Estado_Santa_Catarina_UDESC (BR)
Data keywords
  • natural language processing
Agriculture keywords
  • agronomy
Data topic
  • big data
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
    Powered by Lodex 8.20.3
    logo commission europeenne
    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.