Using genealogy to improve selection efficiency of pedigree method
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , |
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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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 |
_version_ |
1748936460637044736 |