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We introduce a novel method for modeling the inbreeding process.
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The inbreeding substructure model alone does not speed up the ancestry inference for all types of pedigrees, but, as we have shown with the CC, the computational benefit can be crucial for analyzing many model animal resources.
Using the model, inbreeding depression was analyzed for each of the response parameters and population by assessing if the interaction effect was significant.
For instance, the model with inbreeding [ 33] has five variance components, as well as the regression on average heterozygosity.
The fixed effects included in the model were: sex, inbreeding coefficient, age in days at evaluation, birth date measured as days since 1st Jan 1990, and year of evaluation.
The usefulness of including the individual inbreeding coefficient (F) or individual increase in inbreeding coefficient (ΔF) in the model to describe inbreeding depression was evaluated.
Inbreeding depression was estimated using a bivariate animal model in which the inbreeding coefficient was included as a covariate.
D.centre was selected in all the genetic differentiation models and the accumulation of inbreeding model, explaining 25%, 40 %, 41 and 43%and43%e variance of FSthe DST and F, respectivariance
By using Approach 2b, we were able to extend the imprinting model to include inbreeding.
It is then straightforward to integrate the inbreeding model into the original Lander Green model.
How these conflicting selection pressures are resolved is challenging to investigate, but theoretical models predict that inbreeding should occur frequently in some systems.
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