Inclusion of genetic relationship information in the pedigree selection method using mixed models
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572008000100015 |
Resumo: | We used a mixed model approach and computer simulation to evaluate the inclusion of parentage information as determined by the genealogy established in the pedigree method. The simulations were based on a purely additive genetic model for one quantitative trait of 20 unlinked segregating loci with equal effects and an allelic frequency of 0.5 for heritability values of 10%, 25%, 50% and 75% for selection based on an F4:5 progeny mean. We simulated 1000 experiments for each heritability value, corresponding to the evaluation of 256 F4:5 progenies. The phenotypic values of the progenies were analyzed according to two models, one ignoring and one considering the additive genetic parentage among the progenies. The additive relationship coefficients among F4:5 progenies ranged from 0.0 to 1.75. The evaluated selection procedures were the phenotypic progeny mean (M) and the best linear unbiased predictor including parentage (BLUP A). The inclusion of parentage among progenies using the BLUP A procedure resulted in higher selection gains than when the relationship information was ignored, which possibly recompenses the additional work invested to obtain these records, above all in the case of low - heritability traits. |
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Genetics and Molecular Biology |
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Inclusion of genetic relationship information in the pedigree selection method using mixed modelsautogamous cropsBLUPcomputer simulationplant breedingWe used a mixed model approach and computer simulation to evaluate the inclusion of parentage information as determined by the genealogy established in the pedigree method. The simulations were based on a purely additive genetic model for one quantitative trait of 20 unlinked segregating loci with equal effects and an allelic frequency of 0.5 for heritability values of 10%, 25%, 50% and 75% for selection based on an F4:5 progeny mean. We simulated 1000 experiments for each heritability value, corresponding to the evaluation of 256 F4:5 progenies. The phenotypic values of the progenies were analyzed according to two models, one ignoring and one considering the additive genetic parentage among the progenies. The additive relationship coefficients among F4:5 progenies ranged from 0.0 to 1.75. The evaluated selection procedures were the phenotypic progeny mean (M) and the best linear unbiased predictor including parentage (BLUP A). The inclusion of parentage among progenies using the BLUP A procedure resulted in higher selection gains than when the relationship information was ignored, which possibly recompenses the additional work invested to obtain these records, above all in the case of low - heritability traits.Sociedade Brasileira de Genética2008-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572008000100015Genetics and Molecular Biology v.31 n.1 2008reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572008000100015info:eu-repo/semantics/openAccessNunes,José Airton RodriguesRamalho,Magno Antonio PattoFerreira,Daniel Furtadoeng2008-02-28T00:00:00Zoai:scielo:S1415-47572008000100015Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2008-02-28T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.fl_str_mv |
Inclusion of genetic relationship information in the pedigree selection method using mixed models |
title |
Inclusion of genetic relationship information in the pedigree selection method using mixed models |
spellingShingle |
Inclusion of genetic relationship information in the pedigree selection method using mixed models Nunes,José Airton Rodrigues autogamous crops BLUP computer simulation plant breeding |
title_short |
Inclusion of genetic relationship information in the pedigree selection method using mixed models |
title_full |
Inclusion of genetic relationship information in the pedigree selection method using mixed models |
title_fullStr |
Inclusion of genetic relationship information in the pedigree selection method using mixed models |
title_full_unstemmed |
Inclusion of genetic relationship information in the pedigree selection method using mixed models |
title_sort |
Inclusion of genetic relationship information in the pedigree selection method using mixed models |
author |
Nunes,José Airton Rodrigues |
author_facet |
Nunes,José Airton Rodrigues Ramalho,Magno Antonio Patto Ferreira,Daniel Furtado |
author_role |
author |
author2 |
Ramalho,Magno Antonio Patto Ferreira,Daniel Furtado |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Nunes,José Airton Rodrigues Ramalho,Magno Antonio Patto Ferreira,Daniel Furtado |
dc.subject.por.fl_str_mv |
autogamous crops BLUP computer simulation plant breeding |
topic |
autogamous crops BLUP computer simulation plant breeding |
description |
We used a mixed model approach and computer simulation to evaluate the inclusion of parentage information as determined by the genealogy established in the pedigree method. The simulations were based on a purely additive genetic model for one quantitative trait of 20 unlinked segregating loci with equal effects and an allelic frequency of 0.5 for heritability values of 10%, 25%, 50% and 75% for selection based on an F4:5 progeny mean. We simulated 1000 experiments for each heritability value, corresponding to the evaluation of 256 F4:5 progenies. The phenotypic values of the progenies were analyzed according to two models, one ignoring and one considering the additive genetic parentage among the progenies. The additive relationship coefficients among F4:5 progenies ranged from 0.0 to 1.75. The evaluated selection procedures were the phenotypic progeny mean (M) and the best linear unbiased predictor including parentage (BLUP A). The inclusion of parentage among progenies using the BLUP A procedure resulted in higher selection gains than when the relationship information was ignored, which possibly recompenses the additional work invested to obtain these records, above all in the case of low - heritability traits. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572008000100015 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572008000100015 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-47572008000100015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.31 n.1 2008 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122381066829824 |