Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in Eucalyptus.
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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Format: | Artigo de periódico biblioteca |
Language: | English eng |
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2013-08-05
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Subjects: | Genética quantitativa, Estratégia de reprodução, Ganho genético, Método Monte Carlo., Melhoramento vegetal, Seleção, Eucalipto, Quantitative genetics., |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/963390 |
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dig-alice-doc-9633902018-02-28T00:46:30Z Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in Eucalyptus. ABREU, G. B. FERREIRA, D. F. RAMALHO, M. A. P. TOLEDO, F. H. R. B. BUENO FILHO, J. S. de S. GUILHERME BARBOSA ABREU, CPACP; UFLA; UFLA; ESALQ; UFLA. Genética quantitativa Estratégia de reprodução Ganho genético Método Monte Carlo. Melhoramento vegetal Seleção Eucalipto Quantitative genetics. 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. 2018-02-28T00:46:23Z 2018-02-28T00:46:23Z 2013-08-05 2013 2018-02-28T00:46:23Z Artigo de periódico Silvae genetica, v. 62, n.1/2, p. 68-79, 2013. http://www.alice.cnptia.embrapa.br/alice/handle/doc/963390 en eng openAccess 12 p. |
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Genética quantitativa Estratégia de reprodução Ganho genético Método Monte Carlo. Melhoramento vegetal Seleção Eucalipto Quantitative genetics. Genética quantitativa Estratégia de reprodução Ganho genético Método Monte Carlo. Melhoramento vegetal Seleção Eucalipto Quantitative genetics. |
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Genética quantitativa Estratégia de reprodução Ganho genético Método Monte Carlo. Melhoramento vegetal Seleção Eucalipto Quantitative genetics. Genética quantitativa Estratégia de reprodução Ganho genético Método Monte Carlo. Melhoramento vegetal Seleção Eucalipto Quantitative genetics. ABREU, G. B. FERREIRA, D. F. RAMALHO, M. A. P. TOLEDO, F. H. R. B. BUENO FILHO, J. S. de S. Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in Eucalyptus. |
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. |
author2 |
GUILHERME BARBOSA ABREU, CPACP; UFLA; UFLA; ESALQ; UFLA. |
author_facet |
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. |
format |
Artigo de periódico |
topic_facet |
Genética quantitativa Estratégia de reprodução Ganho genético Método Monte Carlo. Melhoramento vegetal Seleção Eucalipto Quantitative genetics. |
author |
ABREU, G. B. FERREIRA, D. F. RAMALHO, M. A. P. TOLEDO, F. H. R. B. BUENO FILHO, J. S. de S. |
author_sort |
ABREU, G. B. |
title |
Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in Eucalyptus. |
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. |
publishDate |
2013-08-05 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/963390 |
work_keys_str_mv |
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