Persönlicher Status und Werkzeuge

Prof. Dr. Chris-Carolin Schön

Contact Details

Business card at TUMonline

Academic Career and Research Areas

The research of Prof. Schön is focused on the optimization of agricultural processes through the integration of molecular biology technologies. This primarily involves the use of molecular markers in breeding crop plants. Her work is also concerned with the characterization of native biodiversity and the identification of its functional characteristics as well as the development of optimized breeding strategies for complex properties.
Prof. Schön (b. 1963) studied agricultural sciences at Hohenheim University and Oregon State University, USA. After receiving her doctorate, she worked at KWS SAAT AG, after which she served as Director of the State Plant Breeding Institute at Hohenheim University, where she completed her postdoctoral studies in the field of plant breeding in 2006. She has held a full professorship at TUM since 2007. Prof. Schön is a member of the review board 207 of the German Research Foundation (DFG) and member of numerous national and international scientific advisory councils. She played a leadership role in establishing Synbreed, an interdisciplinary network for genome-based breeding research on plants and animals.


  • Heinz-Meier-Leibnitz-Medaille der TUM (2009)

Key Publications (all publications)

Wimmer V, Lehermeier C, Albrecht T, Auinger HJ, Wang Y, Schön CC: “Genome-wide prediction of traits with different genetic architecture through efficient variable selection“. Genetics. 2013; 195: 573-587.


Schön, CC, Dhillon BS, Utz HF, Melchinger AE: “High congruency of QTL positions for heterosis of grain yield in three crosses of maize”. Theor. Appl. Genet. 2010; 120: 321-332.


Melchinger AE, Utz HF, Piepho H-P, Zeng Z-B, Schön CC: “The role of epistasis in the manifestation of heterosis: a systems-oriented approach”. Genetics. 2007; 177: 1815-1825.


Schön CC, Utz HF, Groh S, Truberg B, Openshaw S, Melchinger AE: “Quantitative trait locus mapping based on resampling in a vast maize testcross experiment and its relevance to quantitative genetics for complex traits”. Genetics. 2004; 167: 485-498.


Utz HF, Melchinger AE, Schön CC: “Bias and sampling error of the estimated proportion of genotypic variance explained by quantitative trait loci determined from experimental data in maize using cross validation and validation with independent samples”. Genetics. 2000; 154: 1839-1849.