of research groups


Prof. Jochen C. Reif (Dept. Head)
[link]Quantitative Genetics 


Dr. Timothy Francis Sharbel



Dr. Uwe Scholz
[link]Bioinformatics and Information Technology


Dr. Andreas Houben
[link]Chromosome Structure and Function 


Dr. Renate Schmidt

[link]Genome Plasticity 


Dr. Marion Röder
[link]Gene and Genome Mapping


Dr. Patrick Schweizer

[link]Pathogen Stress Genomics

Former Groups

Prof. Ingo Schubert

[link]Karyotype Evolution (discontinued by 31 December 2012)


Dr. Michael F. Mette
[link]Epigenetics (discontinued by 31 December 2012)

You are here:|Research|Breeding Research

Department of Breeding Research

Head: [link]Prof. Jochen C. Reif

Secretary: [link]Inge Sporleder




Area of research: Breeding research


The focus of our work is in basic and applied research to provide knowledge and enable new approaches to improve plant breeding in a sustainable manner. The research activities of the department are structured into the three programs Chromosome Biology, Genome Analysis, and Breeding Informatics.



1. Chromosome Biology:

  • Unravelling the structure and function of plant chromosomes and chromosome segregation in the context of plant breeding, for example doubled haploid technology.
  • Development of engineered mini-chromosomes as an approach to simultaneously transfer and express genetically complex traits.
  • Research into the origin, genetic basis and evolution of apomixis.


2. Genome Analysis:

  • Dissecting the genetic architecture of agronomic traits through quantitative genetic approaches and mapping studies.
  • The application of genome-wide transcript profiling for a deeper understanding of seed traits and mechanisms of durable pathogen resistance.
  • Discovery, validation and characterization of candidate genes behind agronomic traits.


3. Breeding Informatics:

  • The study and implementation of algorithms to predict plant performance and to dissect the genetic architecture of agronomic traits.
  • Analysis of high dimensional *omics data sets.
  • Development of integrated information systems to enable *omics-based plant breeding.