Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus

Detalhes bibliográficos
Autor(a) principal: Abreu, Guilherme Barbosa
Data de Publicação: 2013
Outros Autores: Ferreira, Daniel Furtado, Ramalho, Magno Antônio Patto, Toledo, Fernando Henrique Ribeiro Barrozo, Bueno Filho, Júlio Sílvio de Sousa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/28330
Resumo: Intrapopulation recurrent selection (IRS) has proven to be a promising breeding method in eucalyptus, mainly through being easier to carry out when compared to reciprocal recurrent selection (RRS). However, the recombination strategies in IRS that have not yet been compared. Thus, the purpose of this study was to verify the efficiency of different recombination methods in IRS. To do so, computer simulation was used considering different heritabilities (0.1, 0.5, 1.0), different initial allelic frequencies (0.2, 0.8) and allelic interactions without dominance and with complete dominance. The initial population consisted of 1000 individuals, which were selected at random for the beginning of cycle zero. These individuals were interbred two by two. Three selection strategies were carried out and, consequently, three recombination methods: recombine the best individuals selected within the best progenies; the best individuals phenotypically selected regardless of their genealogy; or selection in the mean value of the best progenies selected. It was observed that recombination of the best individuals regardless of their genealogy and of the best individuals within the best progenies provided for gains superior to recombination having only the mean of the progenies as reference. The average degree of dominance and the heritability of the trait should be considered at the time of choosing the method of selection followed by recombination.
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spelling Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptusEucalipto – Melhoramento genético – Métodos estatísticosGenética quantitativaSimulação de Monte CarloEucalyptus – Breeding – Statistical methodsMonte Carlo simulationQuantitative geneticsIntrapopulation recurrent selection (IRS) has proven to be a promising breeding method in eucalyptus, mainly through being easier to carry out when compared to reciprocal recurrent selection (RRS). However, the recombination strategies in IRS that have not yet been compared. Thus, the purpose of this study was to verify the efficiency of different recombination methods in IRS. To do so, computer simulation was used considering different heritabilities (0.1, 0.5, 1.0), different initial allelic frequencies (0.2, 0.8) and allelic interactions without dominance and with complete dominance. The initial population consisted of 1000 individuals, which were selected at random for the beginning of cycle zero. These individuals were interbred two by two. Three selection strategies were carried out and, consequently, three recombination methods: recombine the best individuals selected within the best progenies; the best individuals phenotypically selected regardless of their genealogy; or selection in the mean value of the best progenies selected. It was observed that recombination of the best individuals regardless of their genealogy and of the best individuals within the best progenies provided for gains superior to recombination having only the mean of the progenies as reference. The average degree of dominance and the heritability of the trait should be considered at the time of choosing the method of selection followed by recombination.De Gruyter2017-12-27T10:54:33Z2017-12-27T10:54:33Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfABREU, G. B. et al. Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus. Silvae Genetica, [Frankfurt], v. 62, n. 1/2, p. 68-79, 2013.http://repositorio.ufla.br/jspui/handle/1/28330Silvae Geneticareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAbreu, Guilherme BarbosaFerreira, Daniel FurtadoRamalho, Magno Antônio PattoToledo, Fernando Henrique Ribeiro BarrozoBueno Filho, Júlio Sílvio de Sousaeng2017-12-27T10:54:34Zoai:localhost:1/28330Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2017-12-27T10:54:34Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus
title Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus
spellingShingle Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus
Abreu, Guilherme Barbosa
Eucalipto – Melhoramento genético – Métodos estatísticos
Genética quantitativa
Simulação de Monte Carlo
Eucalyptus – Breeding – Statistical methods
Monte Carlo simulation
Quantitative genetics
title_short Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus
title_full Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus
title_fullStr Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus
title_full_unstemmed Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus
title_sort Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus
author Abreu, Guilherme Barbosa
author_facet Abreu, Guilherme Barbosa
Ferreira, Daniel Furtado
Ramalho, Magno Antônio Patto
Toledo, Fernando Henrique Ribeiro Barrozo
Bueno Filho, Júlio Sílvio de Sousa
author_role author
author2 Ferreira, Daniel Furtado
Ramalho, Magno Antônio Patto
Toledo, Fernando Henrique Ribeiro Barrozo
Bueno Filho, Júlio Sílvio de Sousa
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Abreu, Guilherme Barbosa
Ferreira, Daniel Furtado
Ramalho, Magno Antônio Patto
Toledo, Fernando Henrique Ribeiro Barrozo
Bueno Filho, Júlio Sílvio de Sousa
dc.subject.por.fl_str_mv Eucalipto – Melhoramento genético – Métodos estatísticos
Genética quantitativa
Simulação de Monte Carlo
Eucalyptus – Breeding – Statistical methods
Monte Carlo simulation
Quantitative genetics
topic Eucalipto – Melhoramento genético – Métodos estatísticos
Genética quantitativa
Simulação de Monte Carlo
Eucalyptus – Breeding – Statistical methods
Monte Carlo simulation
Quantitative genetics
description Intrapopulation recurrent selection (IRS) has proven to be a promising breeding method in eucalyptus, mainly through being easier to carry out when compared to reciprocal recurrent selection (RRS). However, the recombination strategies in IRS that have not yet been compared. Thus, the purpose of this study was to verify the efficiency of different recombination methods in IRS. To do so, computer simulation was used considering different heritabilities (0.1, 0.5, 1.0), different initial allelic frequencies (0.2, 0.8) and allelic interactions without dominance and with complete dominance. The initial population consisted of 1000 individuals, which were selected at random for the beginning of cycle zero. These individuals were interbred two by two. Three selection strategies were carried out and, consequently, three recombination methods: recombine the best individuals selected within the best progenies; the best individuals phenotypically selected regardless of their genealogy; or selection in the mean value of the best progenies selected. It was observed that recombination of the best individuals regardless of their genealogy and of the best individuals within the best progenies provided for gains superior to recombination having only the mean of the progenies as reference. The average degree of dominance and the heritability of the trait should be considered at the time of choosing the method of selection followed by recombination.
publishDate 2013
dc.date.none.fl_str_mv 2013
2017-12-27T10:54:33Z
2017-12-27T10:54:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv ABREU, G. B. et al. Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus. Silvae Genetica, [Frankfurt], v. 62, n. 1/2, p. 68-79, 2013.
http://repositorio.ufla.br/jspui/handle/1/28330
identifier_str_mv ABREU, G. B. et al. Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in eucalyptus. Silvae Genetica, [Frankfurt], v. 62, n. 1/2, p. 68-79, 2013.
url http://repositorio.ufla.br/jspui/handle/1/28330
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv De Gruyter
publisher.none.fl_str_mv De Gruyter
dc.source.none.fl_str_mv Silvae Genetica
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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