Project

Optimisation algorithms for plant breeding

Code

3F005213

Duration

01 October 2013 → 30 September 2017

Funding

Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)

Promotor

Veerle Fack

Fellow

Herman De Beukelaer

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.