Stefanie Muff

This paper introduces a Bayesian marker-based principal component ridge regression framework for estimating quantitative genetic parameters in wild study systems, showing efficient estimation of additive genetic variance and accurate breeding value prediction.

This study evaluates genomic prediction accuracy across wild house sparrow populations and finds lower accuracy compared to within-population predictions.