A Bayesian method for the joint estimation of outcrossing rate and inbreeding depression. (Article, 2012) [WorldCat.org]
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A Bayesian method for the joint estimation of outcrossing rate and inbreeding depression.
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A Bayesian method for the joint estimation of outcrossing rate and inbreeding depression.

Author: V A Koelling Affiliation: Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA.; P J Monnahan; J K Kelly
Edition/Format: Article Article : English
Publication:Heredity, v109 n6 (201212): 393-400
Other Databases: WorldCatWorldCat
Summary:
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)  Read more...
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Details

Document Type: Article
All Authors / Contributors: V A Koelling Affiliation: Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA.; P J Monnahan; J K Kelly
ISSN:0018-067X
Language Note: English
Unique Identifier: 818465287
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Abstract:

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 (Bayesian Outcrossing Rate and Inbreeding Coefficient Estimation) 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.

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