Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884

Detalhes bibliográficos
Autor(a) principal: Fritsche-Neto, Roberto
Data de Publicação: 2012
Outros Autores: DoVale, Júlio César, Lanes, Éder Cristian Malta de, Resende, Marcos Deon Vilela de, Miranda, Glauco Vieira
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/15884
Resumo: The objective of this study was to verify the accuracy of the Genome-Wide Selection (GWS) method in tropical maize breeding for root traits under conditions of nitrogen and phosphorus stress. Forty-one single-crosses were evaluated in two experiments. The first experiment considered low nitrogen availability, and the second experiment considered low phosphorus availability. A randomized block design with two replicates was used. The lateral and axial root lengths were measured using WinRhizo software. The analysis of deviance was calculated using the Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) method. Eighty microsatellite markers were used to genotype the estimation population. The Random Regression method was used to analyze the GWS (RR-BLUP/GWS) data. The gains per unit time of the GWS and the phenotypic selection method were compared, as the standard phenotypic selection methods were considered to be the Recurrent Selection. The GWS accuracy was higher than the phenotypic selection accuracy for all of the traits evaluated. Thus, the GWS method may significantly increase the genetic gains for root traits that are obtained in tropical maize breeding programs for nutritional stress conditions.
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spelling Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884marker-assisted selectionrecurrent selectionabiotic stressesMelhoramento vegetalmarker-assisted selectionrecurrent selectionabiotic stressesThe objective of this study was to verify the accuracy of the Genome-Wide Selection (GWS) method in tropical maize breeding for root traits under conditions of nitrogen and phosphorus stress. Forty-one single-crosses were evaluated in two experiments. The first experiment considered low nitrogen availability, and the second experiment considered low phosphorus availability. A randomized block design with two replicates was used. The lateral and axial root lengths were measured using WinRhizo software. The analysis of deviance was calculated using the Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) method. Eighty microsatellite markers were used to genotype the estimation population. The Random Regression method was used to analyze the GWS (RR-BLUP/GWS) data. The gains per unit time of the GWS and the phenotypic selection method were compared, as the standard phenotypic selection methods were considered to be the Recurrent Selection. The GWS accuracy was higher than the phenotypic selection accuracy for all of the traits evaluated. Thus, the GWS method may significantly increase the genetic gains for root traits that are obtained in tropical maize breeding programs for nutritional stress conditions. The objective of this study was to verify the accuracy of the Genome-Wide Selection (GWS) method in tropical maize breeding for root traits under conditions of nitrogen and phosphorus stress. Forty-one single-crosses were evaluated in two experiments. The first experiment considered low nitrogen availability, and the second experiment considered low phosphorus availability. A randomized block design with two replicates was used. The lateral and axial root lengths were measured using WinRhizo software. The analysis of deviance was calculated using the Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) method. Eighty microsatellite markers were used to genotype the estimation population. The Random Regression method was used to analyze the GWS (RR-BLUP/GWS) data. The gains per unit time of the GWS and the phenotypic selection method were compared, as the standard phenotypic selection methods were considered to be the Recurrent Selection. The GWS accuracy was higher than the phenotypic selection accuracy for all of the traits evaluated. Thus, the GWS method may significantly increase the genetic gains for root traits that are obtained in tropical maize breeding programs for nutritional stress conditions. Universidade Estadual de Maringá2012-04-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Empírica de Campoapplication/pdfapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/1588410.4025/actasciagron.v34i4.15884Acta Scientiarum. Agronomy; Vol 34 No 4 (2012); 389-395Acta Scientiarum. Agronomy; v. 34 n. 4 (2012); 389-3951807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/15884/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/15884/pdf_1Fritsche-Neto, RobertoDoVale, Júlio CésarLanes, Éder Cristian Malta deResende, Marcos Deon Vilela deMiranda, Glauco Vieirainfo:eu-repo/semantics/openAccess2022-11-23T18:38:36Zoai:periodicos.uem.br/ojs:article/15884Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:38:36Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
title Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
spellingShingle Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
Fritsche-Neto, Roberto
marker-assisted selection
recurrent selection
abiotic stresses
Melhoramento vegetal
marker-assisted selection
recurrent selection
abiotic stresses
title_short Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
title_full Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
title_fullStr Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
title_full_unstemmed Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
title_sort Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
author Fritsche-Neto, Roberto
author_facet Fritsche-Neto, Roberto
DoVale, Júlio César
Lanes, Éder Cristian Malta de
Resende, Marcos Deon Vilela de
Miranda, Glauco Vieira
author_role author
author2 DoVale, Júlio César
Lanes, Éder Cristian Malta de
Resende, Marcos Deon Vilela de
Miranda, Glauco Vieira
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Fritsche-Neto, Roberto
DoVale, Júlio César
Lanes, Éder Cristian Malta de
Resende, Marcos Deon Vilela de
Miranda, Glauco Vieira
dc.subject.por.fl_str_mv marker-assisted selection
recurrent selection
abiotic stresses
Melhoramento vegetal
marker-assisted selection
recurrent selection
abiotic stresses
topic marker-assisted selection
recurrent selection
abiotic stresses
Melhoramento vegetal
marker-assisted selection
recurrent selection
abiotic stresses
description The objective of this study was to verify the accuracy of the Genome-Wide Selection (GWS) method in tropical maize breeding for root traits under conditions of nitrogen and phosphorus stress. Forty-one single-crosses were evaluated in two experiments. The first experiment considered low nitrogen availability, and the second experiment considered low phosphorus availability. A randomized block design with two replicates was used. The lateral and axial root lengths were measured using WinRhizo software. The analysis of deviance was calculated using the Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) method. Eighty microsatellite markers were used to genotype the estimation population. The Random Regression method was used to analyze the GWS (RR-BLUP/GWS) data. The gains per unit time of the GWS and the phenotypic selection method were compared, as the standard phenotypic selection methods were considered to be the Recurrent Selection. The GWS accuracy was higher than the phenotypic selection accuracy for all of the traits evaluated. Thus, the GWS method may significantly increase the genetic gains for root traits that are obtained in tropical maize breeding programs for nutritional stress conditions.
publishDate 2012
dc.date.none.fl_str_mv 2012-04-10
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa Empírica de Campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/15884
10.4025/actasciagron.v34i4.15884
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/15884
identifier_str_mv 10.4025/actasciagron.v34i4.15884
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/15884/pdf
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/15884/pdf_1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 34 No 4 (2012); 389-395
Acta Scientiarum. Agronomy; v. 34 n. 4 (2012); 389-395
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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