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

Detalhes bibliográficos
Autor(a) principal: ABREU, G. B.
Data de Publicação: 2013
Outros Autores: FERREIRA, D. F., RAMALHO, M. A. P., TOLEDO, F. H. R. B., BUENO FILHO, J. S. de S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/963390
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 Eucalyptus.Genética quantitativaEstratégia de reproduçãoGanho genéticoMétodo Monte CarloMelhoramento vegetalSeleçãoEucaliptoQuantitative 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.GUILHERME BARBOSA ABREU, CPACP; UFLA; UFLA; ESALQ; UFLA.ABREU, G. B.FERREIRA, D. F.RAMALHO, M. A. P.TOLEDO, F. H. R. B.BUENO FILHO, J. S. de S.2018-02-28T00:46:23Z2018-02-28T00:46:23Z2013-08-0520132018-02-28T00:46:23Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12 p.Silvae genetica, v. 62, n.1/2, p. 68-79, 2013.http://www.alice.cnptia.embrapa.br/alice/handle/doc/963390enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-02-28T00:46:30Zoai:www.alice.cnptia.embrapa.br:doc/963390Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-02-28T00:46:30falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-02-28T00:46:30Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)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, G. B.
Genética quantitativa
Estratégia de reprodução
Ganho genético
Método Monte Carlo
Melhoramento vegetal
Seleção
Eucalipto
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, G. B.
author_facet ABREU, G. B.
FERREIRA, D. F.
RAMALHO, M. A. P.
TOLEDO, F. H. R. B.
BUENO FILHO, J. S. de S.
author_role author
author2 FERREIRA, D. F.
RAMALHO, M. A. P.
TOLEDO, F. H. R. B.
BUENO FILHO, J. S. de S.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv GUILHERME BARBOSA ABREU, CPACP; UFLA; UFLA; ESALQ; UFLA.
dc.contributor.author.fl_str_mv ABREU, G. B.
FERREIRA, D. F.
RAMALHO, M. A. P.
TOLEDO, F. H. R. B.
BUENO FILHO, J. S. de S.
dc.subject.por.fl_str_mv Genética quantitativa
Estratégia de reprodução
Ganho genético
Método Monte Carlo
Melhoramento vegetal
Seleção
Eucalipto
Quantitative genetics
topic Genética quantitativa
Estratégia de reprodução
Ganho genético
Método Monte Carlo
Melhoramento vegetal
Seleção
Eucalipto
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 2013-08-05
2013
2018-02-28T00:46:23Z
2018-02-28T00:46:23Z
2018-02-28T00:46:23Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Silvae genetica, v. 62, n.1/2, p. 68-79, 2013.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/963390
identifier_str_mv Silvae genetica, v. 62, n.1/2, p. 68-79, 2013.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/963390
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12 p.
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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