A reasoned and knowledge-driven approach to Alternaria spp. in potatoes

01 January 2013 → 31 December 2018
Regional and community funding: IWT/VLAIO
Research disciplines
  • Natural sciences
    • Scientific computing
    • Bioinformatics and computational biology
  • Medical and health sciences
    • Bioinformatics and computational biology
    • Bioinformatics and computational biology
    • Public health care
    • Public health services
    • Bioinformatics and computational biology
  • Engineering and technology
    • Scientific computing
alternaria spp
Project description

This project aims to vezamelen this knowledge at the service of a decision support system. Knowledge refers to the relevant characteristics of the pathogen, its interaction with the potato and prevention in the field in different regions in Flanders; they should allow to build a sufficiently reliable disease model, which forms the core of an interactive and beslissingsondersteundend advice system. This opinion is added to the existing system for the potato, which it shares several common modules (ie. Lots, cultivars, crop growth, fungicides, ...). In this way, the integrated offer and are immediately applied, primarily by the approximately 1,000 potato growers who use the advice of the warning service. The sound advice will provide them with more support and lead to better control of the disease, the use of fungicides is limited to the minimum necessary. In addition, the knowledge will also be at the service of cultivation consultants, manufacturers and traders of pesticides, and the potato sector in general.