eng Science and Education Publishing Journal of Geosciences and Geomatics 2373-6704 2025-02-23 13 1 23 30 10.12691/jgg-13-1-2 JGG20251312 article Fall El Hadji Malick Sy syfall@satport.ma 1 Kehel Zakaria 2 Hajji Rafika 3 Tine Moustapha Gning 4 SATPORT Senegal, Dakar, Senegal International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco Hassan II Agronomic and Veterinary Institute, Rabat, Morocco Laboratory of Mechanics and Modeling L2M, University Iba Der Thiam of Thi¨¨s, Thi¨¨s, Senegal Spatial Distribution Modeling and Gap Analysis of species are based essentially on the environmental and socio-economic characteristics of the specimen in question. It is therefore essential to have a mechanism for visiting a large number of sites with a high probability of the presence of genetic material in the shortest possible time. The specific aim of this project is to address the optimization of itineraries for a genetic material collection mission, based primarily on the use of shortest-path search algorithms, in particular Dijkstra's algorithm. The results of this study make it possible to ensure access to the germplasm while rationalizing the resources deployed and, consequently, the financial costs incurred. The whole process of finding the optimal route was made viable by its integration into a platform as a Web application serving as a guide for a genetic material collection mission. https://pubs.sciepub.com/jgg/13/1/2/jgg-13-1-2.pdf Genetic material collection Optimization Gap Analysis Route Spatial model