Plant breeding has mainly focused on crop yield and disease resistance in the past. The current hi-tech agriculture increasingly demands production of seeds that germinate well, fast and synchronized in different production environments.
In this thesis a method is described that allows detailed analysis of Arabidopsis seed germination. This method is subsequently used to map the genetics of seed germination using natural variation. Metabolite and gene expression during germination were studied using innovative approaches as well. A better understanding of the molecular processes that are underlying seed quality is a valuable step to speed up targeted breeding.