Influence of model selection and data structure on the estimation of genetic parameters in honeybee populations.

ABSTRACT: Estimating genetic parameters of quantitative traits is a prerequisite for animal breeding. In honeybees, the genetic variance separates into queen and worker effects. However, under data paucity, parameter estimations that account for this peculiarity often yield implausible results. Consequently, simplified models that attribute all genetic contributions to either the queen (queen model) or the workers (worker model) are often used to estimate variance components in honeybees. However, the causes for estimations with the complete model (colony model) to fail and the consequences of simplified models for variance estimates are little understood. We newly developed the necessary theory to compare parameter estimates that were achieved by the colony model with those of the queen and worker

SUBMITTER: Du M 

PROVIDER: S-EPMC8824827 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature