Management of subdivided populations in conservation programs Development of a novel dynamic system

Within the context of a conservation program the management of subdivided populations implies a compromise between the control of the global genetic diversity, the avoidance of high inbreeding levels, and, sometimes, the maintenance of a certain degree of differentiation between subpopulations. We present a dynamic and flexible methodology, based on genealogical information, for the maximization of the genetic diversity (measured through the global population coancestry) in captive subdivided populations while controlling/restricting the levels of inbreeding. The method is able to implement specific restrictions on the desired relative levels of coancestry between and within subpopulations. By accounting for the particular genetic population structure, the method determines the optimal contributions (i.e.;number of offspring) of each individual, the number of migrants, and the particular subpopulations involved in the exchange of individuals. Computer simulations are used to illustrate the procedure and its performance in a range of reasonable scenarios. The method performs well in most situations and is shown to be more efficient than the commonly accepted one-migrant-per-generation strategy. Copyright © 2008 by the Genetics Society of America.

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Main Authors: Fernández, J., Toro, M. A., Caballero, A.
Format: journal article biblioteca
Language:English
Published: Oxford University Press 2008
Online Access:http://hdl.handle.net/20.500.12792/1365
http://hdl.handle.net/10261/293707
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spelling dig-inia-es-10261-2937072023-02-20T10:31:14Z Management of subdivided populations in conservation programs Development of a novel dynamic system Fernández, J. Toro, M. A. Caballero, A. Within the context of a conservation program the management of subdivided populations implies a compromise between the control of the global genetic diversity, the avoidance of high inbreeding levels, and, sometimes, the maintenance of a certain degree of differentiation between subpopulations. We present a dynamic and flexible methodology, based on genealogical information, for the maximization of the genetic diversity (measured through the global population coancestry) in captive subdivided populations while controlling/restricting the levels of inbreeding. The method is able to implement specific restrictions on the desired relative levels of coancestry between and within subpopulations. By accounting for the particular genetic population structure, the method determines the optimal contributions (i.e.;number of offspring) of each individual, the number of migrants, and the particular subpopulations involved in the exchange of individuals. Computer simulations are used to illustrate the procedure and its performance in a range of reasonable scenarios. The method performs well in most situations and is shown to be more efficient than the commonly accepted one-migrant-per-generation strategy. Copyright © 2008 by the Genetics Society of America. 2023-02-20T10:31:14Z 2023-02-20T10:31:14Z 2008 journal article Genetics 179(1): 683-692 (2008) 0016-6731 http://hdl.handle.net/20.500.12792/1365 http://hdl.handle.net/10261/293707 10.1534/genetics.107.083816 1943-2631 en none Oxford University Press
institution INIA ES
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libraryname Biblioteca del INIA España
language English
description Within the context of a conservation program the management of subdivided populations implies a compromise between the control of the global genetic diversity, the avoidance of high inbreeding levels, and, sometimes, the maintenance of a certain degree of differentiation between subpopulations. We present a dynamic and flexible methodology, based on genealogical information, for the maximization of the genetic diversity (measured through the global population coancestry) in captive subdivided populations while controlling/restricting the levels of inbreeding. The method is able to implement specific restrictions on the desired relative levels of coancestry between and within subpopulations. By accounting for the particular genetic population structure, the method determines the optimal contributions (i.e.;number of offspring) of each individual, the number of migrants, and the particular subpopulations involved in the exchange of individuals. Computer simulations are used to illustrate the procedure and its performance in a range of reasonable scenarios. The method performs well in most situations and is shown to be more efficient than the commonly accepted one-migrant-per-generation strategy. Copyright © 2008 by the Genetics Society of America.
format journal article
author Fernández, J.
Toro, M. A.
Caballero, A.
spellingShingle Fernández, J.
Toro, M. A.
Caballero, A.
Management of subdivided populations in conservation programs Development of a novel dynamic system
author_facet Fernández, J.
Toro, M. A.
Caballero, A.
author_sort Fernández, J.
title Management of subdivided populations in conservation programs Development of a novel dynamic system
title_short Management of subdivided populations in conservation programs Development of a novel dynamic system
title_full Management of subdivided populations in conservation programs Development of a novel dynamic system
title_fullStr Management of subdivided populations in conservation programs Development of a novel dynamic system
title_full_unstemmed Management of subdivided populations in conservation programs Development of a novel dynamic system
title_sort management of subdivided populations in conservation programs development of a novel dynamic system
publisher Oxford University Press
publishDate 2008
url http://hdl.handle.net/20.500.12792/1365
http://hdl.handle.net/10261/293707
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AT toroma managementofsubdividedpopulationsinconservationprogramsdevelopmentofanoveldynamicsystem
AT caballeroa managementofsubdividedpopulationsinconservationprogramsdevelopmentofanoveldynamicsystem
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