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dc.contributor.advisor Simianer, Henner Prof. Dr.
dc.contributor.author Martini, Johannes Wolfgang Robert
dc.date.accessioned 2018-10-08T10:09:02Z
dc.date.available 2018-10-08T10:09:02Z
dc.date.issued 2018-10-08
dc.identifier.uri http://hdl.handle.net/11858/00-1735-0000-002E-E4BB-0
dc.language.iso eng de
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc 630 de
dc.title Incorporating Interactions and Gene Annotation Data in Genomic Prediction de
dc.type doctoralThesis de
dc.contributor.referee Kneib, Thomas Prof. Dr.
dc.date.examination 2017-11-03
dc.description.abstracteng In this work, we consider theoretical and practical aspects of models incorporating interactions, so called "epistasis models''. Moreover, we follow approaches towards the incorporation of biological prior knowledge into prediction methods. The three main chapters are given by the corresponding published articles. In the final discussion, the coding dependence of ridge regression methods is reviewed and the usefulness of the prediction of total genetic values in different breeding schemes is discussed. In the last part of the discussion, we review the results of this work in a broadened context, which is followed by an outlook on future work. de
dc.contributor.coReferee Krivobokova, Tatyana Prof. Dr.
dc.subject.eng epistasis de
dc.subject.eng quantitative genetics de
dc.subject.eng statistical genetics de
dc.subject.eng total genetic values de
dc.subject.eng categorical epistasis model de
dc.identifier.urn urn:nbn:de:gbv:7-11858/00-1735-0000-002E-E4BB-0-2
dc.affiliation.institute Fakultät für Agrarwissenschaften de
dc.subject.gokfull Land- und Forstwirtschaft (PPN621302791) de
dc.identifier.ppn 1032400374

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