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
Molecular breeding (MB) increases genetic gain per crop cycle, stacks favourable alleles at target loci and reduces the number of selection cycles. In the last decade, the private sector has benefitted immensely from MB, which demonstrates its efficacy. In contrast, MB adoption is still limited in the public sector, and it is hardly used in developing countries. Major bottlenecks in these countries include shortage of well-trained personnel, inadequate high-throughput capacity, poor phenotyping infrastructure, lack of information systems or adapted analysis tools or simply resource-limited breeding programmes. The emerging virtual platforms aided by the information and communication technology revolution will help to overcome some of these limitations by providing breeders with better access to genomic resources, advanced laboratory services and robust analytical and data management tools. Apart from some advanced national agricultural research systems (NARS), the implementation of large-scale molecular breeding programmes in developing countries will take time. However, the exponential development of genomic resources, including for less-studied crops, the ever-decreasing cost of marker technologies and the emergence of platforms for accessing MB tools and support services, plus the increasing public-private partnerships and needs-driven demand for improved varieties to counter the global food crisis, are all grounds to predict that MB will have a significant impact on crop breeding in developing countries. These predictions are supported by some preliminary successful examples presented in this paper.
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