Strategic marker selection to detect quantitative trait loci in chicken

Detalhes bibliográficos
Autor(a) principal: Ruy,Deborah Clea
Data de Publicação: 2005
Outros Autores: Nones,Kátia, Baron,Erica Elias, Ledur,Mônica Corrêa, Melo,Cláudio Manoel Rodrigues de, Ambo,Marcel, Campos,Raquel de Lello Rocha, Coutinho,Luiz Lehmann
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162005000200003
Resumo: Selective genotyping for a certain trait in individuals with extreme phenotypes contributes sufficient information to determine linkage between molecular markers and quantitative trait loci (QTL). In this experiment an F2 population, developed by crossing males from a broiler line with females from a layer line, was employed to detect QTL on chromosomes 3 and 5. Twenty-eight performance and carcass traits were measured in F2 offspring, and phenotypic correlations between traits were calculated. Body weight at 42 days (BW42) presented the greatest positive correlations with most other traits, with correlation between body weights at 35 and 41 days, weight gain between birth and 35, 41 and 42 days, as well as weights of carcass and some body parts superior to 0.8. One hundred-and-seventy F2 offspring, representing the top (4.5%) and the bottom (4.5%) of a normal distribution curve of BW42, were selected with equal proportions of males and females, and within dam family. Samples were genotyped for 19 informative markers on chromosome 3, and 11 markers on chromosome 5. Marker allelic frequencies of phenotypic groups with high and low BW42 were compared with a chi-square test. Four regions on chromosome 3 and three regions on chromosome 5 had markers that were suggestively associated with BW42 (P < 0.10), confirming and expanding previous studies.
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spelling Strategic marker selection to detect quantitative trait loci in chickenQTLbroilerselective genotypingbody weightSelective genotyping for a certain trait in individuals with extreme phenotypes contributes sufficient information to determine linkage between molecular markers and quantitative trait loci (QTL). In this experiment an F2 population, developed by crossing males from a broiler line with females from a layer line, was employed to detect QTL on chromosomes 3 and 5. Twenty-eight performance and carcass traits were measured in F2 offspring, and phenotypic correlations between traits were calculated. Body weight at 42 days (BW42) presented the greatest positive correlations with most other traits, with correlation between body weights at 35 and 41 days, weight gain between birth and 35, 41 and 42 days, as well as weights of carcass and some body parts superior to 0.8. One hundred-and-seventy F2 offspring, representing the top (4.5%) and the bottom (4.5%) of a normal distribution curve of BW42, were selected with equal proportions of males and females, and within dam family. Samples were genotyped for 19 informative markers on chromosome 3, and 11 markers on chromosome 5. Marker allelic frequencies of phenotypic groups with high and low BW42 were compared with a chi-square test. Four regions on chromosome 3 and three regions on chromosome 5 had markers that were suggestively associated with BW42 (P < 0.10), confirming and expanding previous studies.Escola Superior de Agricultura "Luiz de Queiroz"2005-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162005000200003Scientia Agricola v.62 n.2 2005reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162005000200003info:eu-repo/semantics/openAccessRuy,Deborah CleaNones,KátiaBaron,Erica EliasLedur,Mônica CorrêaMelo,Cláudio Manoel Rodrigues deAmbo,MarcelCampos,Raquel de Lello RochaCoutinho,Luiz Lehmanneng2005-04-08T00:00:00Zoai:scielo:S0103-90162005000200003Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2005-04-08T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Strategic marker selection to detect quantitative trait loci in chicken
title Strategic marker selection to detect quantitative trait loci in chicken
spellingShingle Strategic marker selection to detect quantitative trait loci in chicken
Ruy,Deborah Clea
QTL
broiler
selective genotyping
body weight
title_short Strategic marker selection to detect quantitative trait loci in chicken
title_full Strategic marker selection to detect quantitative trait loci in chicken
title_fullStr Strategic marker selection to detect quantitative trait loci in chicken
title_full_unstemmed Strategic marker selection to detect quantitative trait loci in chicken
title_sort Strategic marker selection to detect quantitative trait loci in chicken
author Ruy,Deborah Clea
author_facet Ruy,Deborah Clea
Nones,Kátia
Baron,Erica Elias
Ledur,Mônica Corrêa
Melo,Cláudio Manoel Rodrigues de
Ambo,Marcel
Campos,Raquel de Lello Rocha
Coutinho,Luiz Lehmann
author_role author
author2 Nones,Kátia
Baron,Erica Elias
Ledur,Mônica Corrêa
Melo,Cláudio Manoel Rodrigues de
Ambo,Marcel
Campos,Raquel de Lello Rocha
Coutinho,Luiz Lehmann
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ruy,Deborah Clea
Nones,Kátia
Baron,Erica Elias
Ledur,Mônica Corrêa
Melo,Cláudio Manoel Rodrigues de
Ambo,Marcel
Campos,Raquel de Lello Rocha
Coutinho,Luiz Lehmann
dc.subject.por.fl_str_mv QTL
broiler
selective genotyping
body weight
topic QTL
broiler
selective genotyping
body weight
description Selective genotyping for a certain trait in individuals with extreme phenotypes contributes sufficient information to determine linkage between molecular markers and quantitative trait loci (QTL). In this experiment an F2 population, developed by crossing males from a broiler line with females from a layer line, was employed to detect QTL on chromosomes 3 and 5. Twenty-eight performance and carcass traits were measured in F2 offspring, and phenotypic correlations between traits were calculated. Body weight at 42 days (BW42) presented the greatest positive correlations with most other traits, with correlation between body weights at 35 and 41 days, weight gain between birth and 35, 41 and 42 days, as well as weights of carcass and some body parts superior to 0.8. One hundred-and-seventy F2 offspring, representing the top (4.5%) and the bottom (4.5%) of a normal distribution curve of BW42, were selected with equal proportions of males and females, and within dam family. Samples were genotyped for 19 informative markers on chromosome 3, and 11 markers on chromosome 5. Marker allelic frequencies of phenotypic groups with high and low BW42 were compared with a chi-square test. Four regions on chromosome 3 and three regions on chromosome 5 had markers that were suggestively associated with BW42 (P < 0.10), confirming and expanding previous studies.
publishDate 2005
dc.date.none.fl_str_mv 2005-04-01
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=S0103-90162005000200003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162005000200003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162005000200003
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 Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.62 n.2 2005
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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