Data from: A Bayesian method for the joint estimation of outcrossing rate and inbreeding depression

The population outcrossing rate (t) and adult inbreeding coefficient (F)
are key parameters in mating system evolution. The magnitude of inbreeding
depression as expressed in the field can be estimated given t and F via
the method of Ritland (1990). For a given total sample size, the optimal
design for the joint estimation of t and F requires sampling large numbers
of families (100-400) with fewer offspring (1-4) per family.
Unfortunately, the standard inference procedure (MLTR) yields
significantly biased estimates for t and F when family sizes are small and
maternal genotypes are unknown (a common occurrence when sampling natural
populations). Here, we present a Bayesian method implemented in the
program BORICE that effectively estimates t and F when family sizes are
small and maternal genotype information is lacking. BORICE should enable
wider use of the Ritland approach for field-based estimates of inbreeding
depression. As proof of concept, we estimate t and F in a natural
population of Mimulus guttatus. In addition, we describe how individual
maternal inbreeding histories inferred by BORICE may prove useful in
studies of inbreeding and its consequences.