Blar i NTNU Open på forfatter "Schielzeth, Holger"
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Challenges and prospects in genome wide QTL mapping of standing genetic variation in natural populations.
Schielzeth, Holger; Husby, Arild (Journal article, 2014)A considerable challenge in evolutionary genetics is to understand the genetic mechanisms that facilitate or impede evolutionary adaptation in natural populations. For this, we must understand the genetic loci contributing ... -
Describing posterior distributions of variance components: Problems and the use of null distributions to aid interpretation
Pick, Joel; Kasper, Claudia; Allegue, Hassen; Dingemanse, Niels J.; Dochtermann, Ned A.; Laskowski, Kate L.; Lima, Marcos R.; Schielzeth, Holger; Westneat, David F.; Wright, Jonathan; Araya Ajoy, Yimen Gerardo (Peer reviewed; Journal article, 2023)1. Assessing the biological relevance of variance components estimated using Markov chain Monte Carlo (MCMC)-based mixed-effects models is not straightforward. Variance estimates are constrained to be greater than zero and ... -
Non-autosomal genetic variation in carotenoid coloration
Evans, SR; Schielzeth, Holger; Forstmeier, W.; Sheldon, Ben C; Husby, Arild (Journal article; Peer reviewed, 2014)Carotenoid-based coloration plays an important role in signaling, is often sexually dimorphic, and is potentially subject to directional and/or sex-specific selection. To understand the evolutionary dynamics of such color ... -
Robustness of linear mixed-effects models to violations of distributional assumptions
Schielzeth, Holger; Dingemanse, Niels J.; Nakagawa, Shinichi; Westneat, David F.; Allegue, Hassen; Teplitsky, Céline; Réale, Denis; Dochtermann, Ned A.; Garamszegi, László Zsolt; Araya-Ajoy, Yimen (Peer reviewed; Journal article, 2020)Linear mixed-effects models are powerful tools for analysing complex datasets with repeated or clustered observations, a common data structure in ecology and evolution. Mixed-effects models involve complex fitting procedures ...