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Completed projects

Completed projects

GLIS – The Global Information System on Plant Genetic Resources

Document title: GLIS Highlight Report

File type: PDF | File size: 1 MB

The aim of the project is the development of a search engine for plant genetic resources for food and agriculture (PGRFA), which allows to search for information on plant genetic resources in global databases. Global access to information and knowledge about PGRFA should strengthen the conservation, management and use of PGRFA. An IT-infrastructure will be established and standards for the identification and documentation of PGRFA will be developed. So-called Digital Object Identifiers (DOIs) will help to uniquely identify samples of plant genetic resources. The information system allows the search for characteristics such as drought tolerance. This will make it easier for users worldwide to link research results from different institutions and exchange findings on the same genetic material.

Project duration: 01.01.2017 – 31.12.2019
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APFORGIS - Expanding EUFGIS to other regions: Filling the knowledge gaps for genetic conservation of priority tree species in Asia

The European Forest Genetic Resources Programme (EUFORGEN) has developed and successfully implemented a tree species conservation planning approach based on Genetic Conservation Units (GCUs). Criteria for the size and management of these units for broad species groups were developed based on expert opinion and considerable empirical research. GCUs for specific species were then identified by European countries based on common criteria.
This project will enable APFORGEN (Asian-Pacific Forest Genetic Resources Programme) to implement key actions by building on the knowledge sharing and learning experiences of EUFORGEN.
The approach taken by EUFORGEN enables setting up a regional network of tree species conservation sites even in the absence of genetic information on the species. This is done by assessing environmental variability within a tree species range and ensuring that GCUs are optimally distributed across diverse environmental conditions.

Project duration: 01.12.2017- 30.11.2019
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