ArticleG3 (Bethesda, Md.)2016
Predictive Model and Software for Inbreeding-Purging Analysis of Pedigreed Populations.
Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Characterizing and Eliminating the Inbreeding Load.Veterinary sciences · 2023Review
- Genetic purging in captive endangered ungulates with extremely low effective population sizes.Heredity · 2021Article
- Article
- Inbreeding depression for kit survival at birth in a rabbit population under long-term selection.Genetics, selection, evolution : GSE · 2020Article
- A multivariate analysis with direct additive and inbreeding depression load effects.Genetics, selection, evolution : GSE · 2019Article
- Inbreeding depression due to recent and ancient inbreeding in Dutch Holstein-Friesian dairy cattle.Genetics, selection, evolution : GSE · 2019Article
- Inbreeding load and inbreeding depression estimated from lifetime reproductive success in a small, dispersal-limited population.Heredity · 2019Article
- Nonequivalent lethal equivalents: Models and inbreeding metrics for unbiased estimation of inbreeding load.Evolutionary applications · 2019Article
- Detection of genetic purging and predictive value of purging parameters estimated in pedigreed populations.Heredity · 2018Article
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Authors and funding
3 authors.
Funding
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Abstract
The inbreeding depression of fitness traits can be a major threat to the survival of populations experiencing inbreeding. However, its accurate prediction requires taking into account the genetic purging induced by inbreeding, which can be achieved using a "purged inbreeding coefficient". We have developed a method to compute purged inbreeding at the individual level in pedigreed populations with overlapping generations. Furthermore, we derive the inbreeding depression slope for individual logarithmic fitness, which is larger than that for the logarithm of the population fitness average. In addition, we provide a new software, PURGd, based on these theoretical results that allows analyzing pedigree data to detect purging, and to estimate the purging coefficient, which is the parameter necessary to predict the joint consequences of inbreeding and purging. The software also calculates the purged inbreeding coefficient for each individual, as well as standard and ancestral inbreeding. Analysis of simulation data show that this software produces reasonably accurate estimates for the inbreeding depression rate and for the purging coefficient that are useful for predictive purposes.
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