Investigating possibilities to predict milk phenotypes in Holstein Friesian cows based on a more complex model of the genotype-phenotype map

10.18453/rosdok_id00001443 Melzer, Nina Nina Melzer http://d-nb.info/gnd/1062851285 Investigating possibilities to predict milk phenotypes in Holstein Friesian cows based on a more complex model of the genotype-phenotype map Untersuchung von Möglichkeiten zur Vorhersage von Milchmerkmalen von Holstein Friesian Kühen basierend auf einem komplexeren Modell der Genotyp-Phänotyp-Abbildung Universität Rostock 2014 000 Generalities, Science 570 Life science 2014 en http://purl.uni-rostock.de/rosdok/id00001443 urn:nbn:de:gbv:28-diss2014-0195-4 The prediction of genetic values based on genomic and phenotypic information plays an important role in dairy cattle breeding. This thesis investigates if an improved prediction can be obtained when in addition the metabolome is considered. Data for the three system-levels were (a) simulated using a systems biology approach and (b) experimentally collected (~1300 cows). An integrative bioinformatics approach for data analysis was developed. Concluding, the metabolome provides a deeper insight into the relationships between different levels, whose exploitation can lead to improved prediction.