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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Consequences of nutrition during gestation, and the challenge to better understand and enhance livestock productivity and efficiency in pastoral ecosystems


The major economic costs to ruminant livestock producers of meat are associated with the breeding herd, which is an important target for improving productivity and efficiency at pasture. There is increasing interest in how to manage breeding females and their offspring to either minimise the consequences of adverse environmental effects or to enhance productivity and efficiency of offspring. This paper briefly reviews influences on fetal growth including the placenta, and reports results of our studies on factors including chronic, severe nutritional restriction during pregnancy and/or lactation within pasture-based systems on postnatal productivity of beef cattle. Cattle severely growth restricted early in life can have reduced weight for age to market weight, but with little or no alteration to normal allometric growth patterns of carcass tissues or beef quality, at least within pasture-based systems. The extent to which Bill McClymont's vision of improving productivity and efficiency through improved understanding of the interactions between livestock, plants and soils can be realised is limited by our capacity to generate, in a timely manner, objective data on animal performance including intake and feed use efficiency within pastoral ecosystems. The capacity to improve productivity and efficiency, most notably for the breeding herd, within pastoral ecosystems will be enhanced by the development of wireless sensor networks and methods to manage and develop applications from 'big data'. These applications of wireless sensor networks will include measurement of pasture intake, which is the input trait that underpins livestock production efficiency. Consistent with Bill McClymont's vision, consumption of pasture by ruminants represents the point in the grazing ecosystem where livestock interface with plants and soils, and thus measurement of pasture intake should be a high priority for future research on productivity and efficiency.

  • AU
  • US
  • Univ_New_England (AU)
  • CSIRO (AU)
  • Cornell_Univ (US)
Data keywords
  • big data
Agriculture keywords
  • livestock
  • cattle
Data topic
  • big data
  • information systems
  • sensors
Document type

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

Institutions 10 co-publis
  • Univ_New_England (AU)
  • CSIRO (AU)
  • Cornell_Univ (US)
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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.