Data from: A likelihood-based approach for assessment of extra-pair paternity and conspecific brood parasitism in natural populations ...

• Main Authors: Lemons, Patrick R., Marshall, Tristan C., McCloskey, Sarah E., Sethi, Suresh A., Schmutz, Joel A., Sedinger, Jim S.
• Format: Dataset
• Language: English
• Published: Dryad 2014
• Subjects: extra-pair paternity; CERVUS; Branta bernicla nigricans; intraspecific brood parasitism; conspecific brood parasitism; parentage analysis; black brant; Branta bernicla
• Online Access: https://dx.doi.org/10.5061/dryad.k9f25; https://datadryad.org/stash/dataset/doi:10.5061/dryad.k9f25

Genotypes are frequently used to assess alternative reproductive strategies such as extra-pair paternity and conspecific brood parasitism in wild populations. However, such analyses are vulnerable to genotyping error or molecular artefacts that can bias results. For example, when using multilocus microsatellite data, a mismatch at a single locus, suggesting the offspring was not directly related to its putative parents, can occur quite commonly even when the offspring is truly related. Some recent studies have advocated an ad-hoc rule that offspring must differ at more than one locus in order to conclude that they are not directly related. While this reduces the frequency with which true offspring are identified as not directly related young, it also introduces bias in the opposite direction, wherein not directly related young are categorized as true offspring. More importantly, it ignores the additional information on allele frequencies which would reduce overall bias. In this study, we present a novel ... : R Code for Brood SimulationsThis file is the R code used to create the simulated data sets used in this manuscript.BroodSimulations.SupplementCode.txt ...