Project

Optimisation algorithms for plant breeding

Duration
01 October 2013 → 30 September 2017
Funding
Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)
Promotor
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
Keywords
crossing schedules plant breeding combinatorial optimisation plant collections
 
Project description

This research focusses on several problems from plant breeding which can be expressed in a mathematical model (e.g. using graphs) and which are suited for combinatorial optimisation. Among others, algorithms are developed for the selection of representative core subsets sampled from large plant collections, for the optimisation of crossing schedules using genetic markers and for the creation of heterotic pools.