A Web-GIS application for the monitoring of Farm Animal Genetic Resources (FAnGR) in Switzerland

In 2007, FAO (Food and Agriculture Organization, from the United Nations) initiated the Global plan of action for Farm Animal Genetic Resources (FAnGR) to reduce further loss of genetic diversity in farm animals. One of the key issues mentioned is to identify endangered breeds to support conservation prioritization programs. In this context, the Swiss Federal office for Agriculture attributed a mandate to explore the feasibility of the implementation of a monitoring concept. The report mentioned the relevance of including the geographic location of the populations monitored. Accordingly, we used open source software (PostgreSQL, PostGIS, OpenLayers, Geoserver), to develop a WebGIS platform prototype (GenMon-CH) designed to assess pedigree information, geographical concentration, socio-economic and environmental information. GenMon-CH includes PopRep developed by the Institute of Farm Animal Genetics (FLI, Germany) to run the pedigree analysis and to provide parameters such as inbreeding coefficient, effective population size. Additionally introgression will be considered. Current developments will soon make it possible to process these indices based on genetic information as well. In parallel, the combined socioeconomic/environmental index assesses the attractiveness and the risk of potential future agricultural practice abandonment in the regions where populations are bred. Finally, a multi-criteria decision support tool aggregates criteria using the MACBETH method, which is based on a weighted average using satisfaction thresholds. The system permits to upload basic information for each animal (parents, birth date, sex, location, introgression) and to choose relevant weighting parameters and thresholds. Based on these inputs, the system completes a pedigree analysis, and computes a final ranking of breeds based on an integrated prioritization score to be visualized on a map.

Joost, Stéphane

 Record created 2014-07-18, last modified 2019-07-22

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