Using genealogy to improve selection efficiency of pedigree method

Detalhes bibliográficos
Autor(a) principal: Nunes,José Airton Rodrigues
Data de Publicação: 2008
Outros Autores: Moreto,Alexsander Luís, Ramalho,Magno Antonio Patto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000100004
Resumo: In the pedigree method of conducting an autogamous population of segregating plants, the genealogy of the progenies is registered. Although labor-intensive, these data are rarely used. One possibility of exploiting this information is to improve selection efficiency using BLUP (Best Linear Unbiased Prediction). In this study BLUP with genealogy inclusion was compared to the mean in the progenies evaluation conducted by the pedigree method. Progenies of crosses of the common bean lines BRS MG Talismã and BRS Valente in F4:6 and F4:7 were used. The 256 F4:6 progenies were sown in February 2005, in southeast of Brazil, in a 16 <FONT FACE=Symbol>´</FONT> 16 simple lattice design. The grain yield data were subjected to BLUP analysis with inclusion of genealogy. Based on this analysis and the mean, the 30 progenies with best and worst performance were selected. These 60 F4:7 progenies were classified in relation to the origin, i.e., selected by BLUP, mean, or BLUP and mean and coincident results were obtained. In the selection for best performance, the efficiency of BLUP was 2.4% higher than the mean. In the selection for the opposite extreme, BLUP analysis was however not advantageous. The progenies <FONT FACE=Symbol>´</FONT> environments interaction indicates the need for an evaluation of the progenies in different environments before beginning selection.
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spelling Using genealogy to improve selection efficiency of pedigree methodBLUPselection methodbean improvementheritabilityquantitative geneticsIn the pedigree method of conducting an autogamous population of segregating plants, the genealogy of the progenies is registered. Although labor-intensive, these data are rarely used. One possibility of exploiting this information is to improve selection efficiency using BLUP (Best Linear Unbiased Prediction). In this study BLUP with genealogy inclusion was compared to the mean in the progenies evaluation conducted by the pedigree method. Progenies of crosses of the common bean lines BRS MG Talismã and BRS Valente in F4:6 and F4:7 were used. The 256 F4:6 progenies were sown in February 2005, in southeast of Brazil, in a 16 <FONT FACE=Symbol>´</FONT> 16 simple lattice design. The grain yield data were subjected to BLUP analysis with inclusion of genealogy. Based on this analysis and the mean, the 30 progenies with best and worst performance were selected. These 60 F4:7 progenies were classified in relation to the origin, i.e., selected by BLUP, mean, or BLUP and mean and coincident results were obtained. In the selection for best performance, the efficiency of BLUP was 2.4% higher than the mean. In the selection for the opposite extreme, BLUP analysis was however not advantageous. The progenies <FONT FACE=Symbol>´</FONT> environments interaction indicates the need for an evaluation of the progenies in different environments before beginning selection.Escola Superior de Agricultura "Luiz de Queiroz"2008-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000100004Scientia Agricola v.65 n.1 2008reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162008000100004info:eu-repo/semantics/openAccessNunes,José Airton RodriguesMoreto,Alexsander LuísRamalho,Magno Antonio Pattoeng2008-01-17T00:00:00Zoai:scielo:S0103-90162008000100004Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2008-01-17T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Using genealogy to improve selection efficiency of pedigree method
title Using genealogy to improve selection efficiency of pedigree method
spellingShingle Using genealogy to improve selection efficiency of pedigree method
Nunes,José Airton Rodrigues
BLUP
selection method
bean improvement
heritability
quantitative genetics
title_short Using genealogy to improve selection efficiency of pedigree method
title_full Using genealogy to improve selection efficiency of pedigree method
title_fullStr Using genealogy to improve selection efficiency of pedigree method
title_full_unstemmed Using genealogy to improve selection efficiency of pedigree method
title_sort Using genealogy to improve selection efficiency of pedigree method
author Nunes,José Airton Rodrigues
author_facet Nunes,José Airton Rodrigues
Moreto,Alexsander Luís
Ramalho,Magno Antonio Patto
author_role author
author2 Moreto,Alexsander Luís
Ramalho,Magno Antonio Patto
author2_role author
author
dc.contributor.author.fl_str_mv Nunes,José Airton Rodrigues
Moreto,Alexsander Luís
Ramalho,Magno Antonio Patto
dc.subject.por.fl_str_mv BLUP
selection method
bean improvement
heritability
quantitative genetics
topic BLUP
selection method
bean improvement
heritability
quantitative genetics
description In the pedigree method of conducting an autogamous population of segregating plants, the genealogy of the progenies is registered. Although labor-intensive, these data are rarely used. One possibility of exploiting this information is to improve selection efficiency using BLUP (Best Linear Unbiased Prediction). In this study BLUP with genealogy inclusion was compared to the mean in the progenies evaluation conducted by the pedigree method. Progenies of crosses of the common bean lines BRS MG Talismã and BRS Valente in F4:6 and F4:7 were used. The 256 F4:6 progenies were sown in February 2005, in southeast of Brazil, in a 16 <FONT FACE=Symbol>´</FONT> 16 simple lattice design. The grain yield data were subjected to BLUP analysis with inclusion of genealogy. Based on this analysis and the mean, the 30 progenies with best and worst performance were selected. These 60 F4:7 progenies were classified in relation to the origin, i.e., selected by BLUP, mean, or BLUP and mean and coincident results were obtained. In the selection for best performance, the efficiency of BLUP was 2.4% higher than the mean. In the selection for the opposite extreme, BLUP analysis was however not advantageous. The progenies <FONT FACE=Symbol>´</FONT> environments interaction indicates the need for an evaluation of the progenies in different environments before beginning selection.
publishDate 2008
dc.date.none.fl_str_mv 2008-02-01
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=S0103-90162008000100004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000100004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162008000100004
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.65 n.1 2008
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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