Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri

Small-sized populations frequently undergo a significant loss of genetic variability that can lead to their extinction. Therefore, research on animal breeding has focused on mating systems for minimizing the disappearance of genetic variability. Minimizing the average coancestry of offspring has bee...

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Detalhes bibliográficos
Autores: Ojeda Marín, Candela, Cervantes Navarro, Isabel, Moreno, Eulalia, Goyache Goñi, Félix, Gutiérrez García, Juan Pablo
Tipo de documento: artigo
Data de publicação:2021
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositório:Docta Complutense
Idioma:inglês
OAI Identifier:oai:docta.ucm.es:20.500.14352/8618
Acesso em linha:https://hdl.handle.net/20.500.14352/8618
Access Level:Acceso aberto
Palavra-chave:conservation
small populations
effective population size
mating designs
Producción animal
3104 Producción Animal
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spelling Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieriOjeda Marín, CandelaCervantes Navarro, IsabelMoreno, EulaliaGoyache Goñi, FélixGutiérrez García, Juan Pabloconservationsmall populationseffective population sizemating designsProducción animal3104 Producción AnimalSmall-sized populations frequently undergo a significant loss of genetic variability that can lead to their extinction. Therefore, research on animal breeding has focused on mating systems for minimizing the disappearance of genetic variability. Minimizing the average coancestry of offspring has been described as the best strategy for this purpose. Traditionally, the preservation of genetic variability has been approached via breeding strategies for increasing the effective population size (Ne). The main objective of this study was to compare, via computer simulations, the performance of different breeding schemes to limit the losses of genetic diversity in small populations. This objective was achieved by monitoring the evolution of the effective size obtained by different strategies across 20 generations with a starting point of two pedigree real populations of Gazella cuvieri. The results showed that minimizing average coancestry in a cohort did not maximize the effective size as compared with new strategies that were designed for this study. Furthermore, the best strategy may vary for each population and should be studied individually.MDPIUniversidad Complutense de Madrid20212021-05-2720212021-05-27journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/8618reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/86182026-06-02T12:44:21Z
dc.title.none.fl_str_mv Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri
title Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri
spellingShingle Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri
Ojeda Marín, Candela
conservation
small populations
effective population size
mating designs
Producción animal
3104 Producción Animal
title_short Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri
title_full Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri
title_fullStr Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri
title_full_unstemmed Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri
title_sort Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri
dc.creator.none.fl_str_mv Ojeda Marín, Candela
Cervantes Navarro, Isabel
Moreno, Eulalia
Goyache Goñi, Félix
Gutiérrez García, Juan Pablo
author Ojeda Marín, Candela
author_facet Ojeda Marín, Candela
Cervantes Navarro, Isabel
Moreno, Eulalia
Goyache Goñi, Félix
Gutiérrez García, Juan Pablo
author_role author
author2 Cervantes Navarro, Isabel
Moreno, Eulalia
Goyache Goñi, Félix
Gutiérrez García, Juan Pablo
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv conservation
small populations
effective population size
mating designs
Producción animal
3104 Producción Animal
topic conservation
small populations
effective population size
mating designs
Producción animal
3104 Producción Animal
description Small-sized populations frequently undergo a significant loss of genetic variability that can lead to their extinction. Therefore, research on animal breeding has focused on mating systems for minimizing the disappearance of genetic variability. Minimizing the average coancestry of offspring has been described as the best strategy for this purpose. Traditionally, the preservation of genetic variability has been approached via breeding strategies for increasing the effective population size (Ne). The main objective of this study was to compare, via computer simulations, the performance of different breeding schemes to limit the losses of genetic diversity in small populations. This objective was achieved by monitoring the evolution of the effective size obtained by different strategies across 20 generations with a starting point of two pedigree real populations of Gazella cuvieri. The results showed that minimizing average coancestry in a cohort did not maximize the effective size as compared with new strategies that were designed for this study. Furthermore, the best strategy may vary for each population and should be studied individually.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-05-27
2021
2021-05-27
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/8618
url https://hdl.handle.net/20.500.14352/8618
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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