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 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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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 |
_version_ |
1815439067974729728 |