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Can sexual selection theory inform genetic management of captive populations? A review
Author(s) -
Chargé Rémi,
Teplitsky Céline,
Sorci Gabriele,
Low Matthew
Publication year - 2014
Publication title -
evolutionary applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.776
H-Index - 68
ISSN - 1752-4571
DOI - 10.1111/eva.12229
Subject(s) - captive breeding , biology , inbreeding depression , captivity , selection (genetic algorithm) , mate choice , adaptation (eye) , sexual selection , population , context (archaeology) , inbreeding , reproductive success , evolutionary biology , ecology , mating , demography , endangered species , computer science , paleontology , artificial intelligence , neuroscience , sociology , habitat
Captive breeding for conservation purposes presents a serious practical challenge because several conflicting genetic processes (i.e., inbreeding depression, random genetic drift and genetic adaptation to captivity) need to be managed in concert to maximize captive population persistence and reintroduction success probability. Because current genetic management is often only partly successful in achieving these goals, it has been suggested that management insights may be found in sexual selection theory (in particular, female mate choice). We review the theoretical and empirical literature and consider how female mate choice might influence captive breeding in the context of current genetic guidelines for different sexual selection theories (i.e., direct benefits, good genes, compatible genes, sexy sons). We show that while mate choice shows promise as a tool in captive breeding under certain conditions, for most species, there is currently too little theoretical and empirical evidence to provide any clear guidelines that would guarantee positive fitness outcomes and avoid conflicts with other genetic goals. The application of female mate choice to captive breeding is in its infancy and requires a goal‐oriented framework based on the needs of captive species management, so researchers can make honest assessments of the costs and benefits of such an approach, using simulations, model species and captive animal data.

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