Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in Eucalyptus.
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
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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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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1794503450373914624 |