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A novel framework for evaluating in situ breeding management strategies in endangered populations.
Robledo-Ruiz, Diana A; Pavlova, Alexandra; Clarke, Rohan H; Magrath, Michael J L; Quin, Bruce; Harrisson, Katherine A; Gan, Han Ming; Low, Gabriel W; Sunnucks, Paul.
Afiliación
  • Robledo-Ruiz DA; School of Biological Sciences, Monash University, Clayton, Vic., Australia.
  • Pavlova A; School of Biological Sciences, Monash University, Clayton, Vic., Australia.
  • Clarke RH; School of Biological Sciences, Monash University, Clayton, Vic., Australia.
  • Magrath MJL; Department of Wildlife Conservation and Science, Zoos Victoria, Parkville, Vic., Australia.
  • Quin B; School of BioSciences, University of Melbourne, Parkville, Vic., Australia.
  • Harrisson KA; Department of Environment, Land, Water and Planning, Woori Yallock, Vic., Australia.
  • Gan HM; Department of Ecology, Environment and Evolution, La Trobe University, Melbourne, Vic., Australia.
  • Low GW; Department of Environment, Land, Water and Planning, Arthur Rylah Institute for Environmental Research, Heidelberg, Vic., Australia.
  • Sunnucks P; Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Geelong, Vic., Australia.
Mol Ecol Resour ; 22(1): 239-253, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34288508
Conservation breeding management aims to reduce inbreeding and maximize the retention of genetic diversity in endangered populations. However, breeding management of wild populations is still rare, and there is a need for approaches that provide data-driven evidence of the likelihood of success of alternative in situ strategies. Here, we provide an analytical framework that uses in silico simulations to evaluate, for real wild populations, (i) the degree of population-level inbreeding avoidance, (ii) the genetic quality of mating pairs, and (iii) the potential genetic benefits of implementing two breeding management strategies. The proposed strategies aim to improve the genetic quality of breeding pairs by splitting detrimental pairs and allowing the members to re-pair in different ways. We apply the framework to the wild population of the Critically Endangered helmeted honeyeater by combining genomic data and field observations to estimate the inbreeding (i.e., pair-kinship) and genetic quality (i.e., Mate Suitability Index) of all mating pairs for seven consecutive breeding seasons. We found no evidence of population-level inbreeding avoidance and that ~91.6% of breeding pairs were detrimental to the genetic health of the population. Furthermore, the framework revealed that neither proposed management strategy would significantly improve the genetic quality or reduce inbreeding of the mating pairs in this population. Our results demonstrate the usefulness of our analytical framework for testing the efficacy of different in situ breeding management strategies and for making evidence-based management decisions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reproducción / Endogamia Idioma: En Revista: Mol Ecol Resour Año: 2022 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reproducción / Endogamia Idioma: En Revista: Mol Ecol Resour Año: 2022 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido