Efficiency of selection within sugarcane families via simulated individual BLUP
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Crop Breeding and Applied Biotechnology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332015000100001 |
Resumo: | The aim of this study was to assess the efficiency of the simulated individual BLUP (BLUPIS) method in selecting genotypes within full-sib families of sugarcane in ratoon stage, through comparison with selection using the individual BLUP method. The optimal number of genotypes to be selected in the best families were established for mean stems mass, total soluble solids assay (BRIX), ton of stalks per hectare, and BRIX tons per hectare traits. Seventeen full-sib families were assessed in the Centre for Experimentation in Sugarcane, located in Oratórios, MG, Brazil. Mixed model methodology was used to predict the genotypic effects of each family and the genotypic values of each individual within family. BLUPIS method is efficient for individual selection. The optimal number of genotypes to be selected in the best family for obtaining higher efficiency of the BLUPIS method is 100 in the majority of cases. |
id |
CBAB-1_4fbf179e45f8defaabd9b84017bf6775 |
---|---|
oai_identifier_str |
oai:scielo:S1984-70332015000100001 |
network_acronym_str |
CBAB-1 |
network_name_str |
Crop Breeding and Applied Biotechnology |
repository_id_str |
|
spelling |
Efficiency of selection within sugarcane families via simulated individual BLUPSaccharum sp.best linear unbiased predictors (BLUP)BLUPISselection strategiessugarcane breedingThe aim of this study was to assess the efficiency of the simulated individual BLUP (BLUPIS) method in selecting genotypes within full-sib families of sugarcane in ratoon stage, through comparison with selection using the individual BLUP method. The optimal number of genotypes to be selected in the best families were established for mean stems mass, total soluble solids assay (BRIX), ton of stalks per hectare, and BRIX tons per hectare traits. Seventeen full-sib families were assessed in the Centre for Experimentation in Sugarcane, located in Oratórios, MG, Brazil. Mixed model methodology was used to predict the genotypic effects of each family and the genotypic values of each individual within family. BLUPIS method is efficient for individual selection. The optimal number of genotypes to be selected in the best family for obtaining higher efficiency of the BLUPIS method is 100 in the majority of cases. Crop Breeding and Applied Biotechnology2015-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332015000100001Crop Breeding and Applied Biotechnology v.15 n.1 2015reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332015v15n1a1info:eu-repo/semantics/openAccessSilva,Felipe Lopes daBarbosa,Márcio Henrique Pereirade Resende,Marcos Deon VilelaPeternelli,Luiz AlexandrePedrozo,Cássia Ângelaeng2015-04-06T00:00:00Zoai:scielo:S1984-70332015000100001Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2015-04-06T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse |
dc.title.none.fl_str_mv |
Efficiency of selection within sugarcane families via simulated individual BLUP |
title |
Efficiency of selection within sugarcane families via simulated individual BLUP |
spellingShingle |
Efficiency of selection within sugarcane families via simulated individual BLUP Silva,Felipe Lopes da Saccharum sp. best linear unbiased predictors (BLUP) BLUPIS selection strategies sugarcane breeding |
title_short |
Efficiency of selection within sugarcane families via simulated individual BLUP |
title_full |
Efficiency of selection within sugarcane families via simulated individual BLUP |
title_fullStr |
Efficiency of selection within sugarcane families via simulated individual BLUP |
title_full_unstemmed |
Efficiency of selection within sugarcane families via simulated individual BLUP |
title_sort |
Efficiency of selection within sugarcane families via simulated individual BLUP |
author |
Silva,Felipe Lopes da |
author_facet |
Silva,Felipe Lopes da Barbosa,Márcio Henrique Pereira de Resende,Marcos Deon Vilela Peternelli,Luiz Alexandre Pedrozo,Cássia Ângela |
author_role |
author |
author2 |
Barbosa,Márcio Henrique Pereira de Resende,Marcos Deon Vilela Peternelli,Luiz Alexandre Pedrozo,Cássia Ângela |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Silva,Felipe Lopes da Barbosa,Márcio Henrique Pereira de Resende,Marcos Deon Vilela Peternelli,Luiz Alexandre Pedrozo,Cássia Ângela |
dc.subject.por.fl_str_mv |
Saccharum sp. best linear unbiased predictors (BLUP) BLUPIS selection strategies sugarcane breeding |
topic |
Saccharum sp. best linear unbiased predictors (BLUP) BLUPIS selection strategies sugarcane breeding |
description |
The aim of this study was to assess the efficiency of the simulated individual BLUP (BLUPIS) method in selecting genotypes within full-sib families of sugarcane in ratoon stage, through comparison with selection using the individual BLUP method. The optimal number of genotypes to be selected in the best families were established for mean stems mass, total soluble solids assay (BRIX), ton of stalks per hectare, and BRIX tons per hectare traits. Seventeen full-sib families were assessed in the Centre for Experimentation in Sugarcane, located in Oratórios, MG, Brazil. Mixed model methodology was used to predict the genotypic effects of each family and the genotypic values of each individual within family. BLUPIS method is efficient for individual selection. The optimal number of genotypes to be selected in the best family for obtaining higher efficiency of the BLUPIS method is 100 in the majority of cases. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-03-01 |
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=S1984-70332015000100001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332015000100001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1984-70332015v15n1a1 |
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 |
Crop Breeding and Applied Biotechnology |
publisher.none.fl_str_mv |
Crop Breeding and Applied Biotechnology |
dc.source.none.fl_str_mv |
Crop Breeding and Applied Biotechnology v.15 n.1 2015 reponame:Crop Breeding and Applied Biotechnology instname:Sociedade Brasileira de Melhoramento de Plantas instacron:CBAB |
instname_str |
Sociedade Brasileira de Melhoramento de Plantas |
instacron_str |
CBAB |
institution |
CBAB |
reponame_str |
Crop Breeding and Applied Biotechnology |
collection |
Crop Breeding and Applied Biotechnology |
repository.name.fl_str_mv |
Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas |
repository.mail.fl_str_mv |
cbabjournal@gmail.com||cbab@ufv.br |
_version_ |
1754209186747514880 |