Genome-Wide Selection for tropical maize root traits under conditions of nitrogen and phosphorus stress - doi: 10.4025/actasciagron.v34i4.15884
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , |
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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Acta Scientiarum. Agronomy (Online) |
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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 |
_version_ |
1799305908365295616 |