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.1. Simulation Data for Table 1Please see the Read Me file associated with this data deposit.2. MLTR Bias Simulations File 1Please see the Read Me file included with this data deposit.3. MLTR Bias Simulations File 2Please see the Read Me file included with this data deposit.4. BORICE simulationsPlease see the Read Me file associated with this data deposit.5. BORICE correlated matings simulationsPlease see the Read Me file associated with this data deposit.6. BORICE null alleles simulationsPlease see the Read Me file associated with this data deposit.7. BORICE variable outcrossing rate simulationsPlease see the READ ME file associated with this data deposit.8. t & F no mom databasePlease see the READ ME file associated with this data deposit.9. Table 2 F dataPlease see the READ ME file associated with this data deposit.10. Table 2 t dataPlease see the READ ME file associated with this data deposit