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    <title>Statistical perspectives on dependencies between genomic markers</title>
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  <abstract type="Summary">To study the genetic impact on a quantitative trait, molecular markers are used as predictor variables in a statistical model. This habilitation thesis elucidated challenges accompanied with such investigations. First, the usefulness of including different kinds of genetic effects, which can be additive or non-additive, was verified. Second, dependencies between markers caused by their proximity on the genome were studied in populations with family stratification. The resulting covariance matrix deserved special attention due to its multi-functionality in several fields of genomic evaluations.&lt;eng&gt;</abstract>
  <note type="statement of responsibility">vorgelegt von Dörte Wittenburg</note>
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  <note>GutachterInnen: Klaus Wimmers (Universität Rostock, AUF, Tierzucht und Haustiergenetik; FBN Dummerstorf) ; Hans-Peter Piepho (Universität Hohenheim, Fg. Biostatistik) ; Jörn Bennewitz (Universität Hohenheim, Fg. Tiergenetik und Züchtung)</note>
  <note type="thesis">Habilitationsschrift Universität Rostock 2021 Kumulative Habilitationsschrift</note>
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