Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s10681-017-2018-x http://hdl.handle.net/11449/179146 |
Resumo: | Grain yield (GY) is a direct function of its components and these traits to being less complex and highly correlated with yield. The objectives of this study were to map Quantitative Trait Loci (QTL) for GY and its components in maize lines and GY in their testcrosses, to verify its congruence and the possibility to select testcrosses from the predict means of the lines by using markers information. Two hundred and fifty-six S1 lines derived from the cross L-08-05F × L-14-04B of tropical germplasm and the testcrosses of these lines with two testers were evaluated in six environments. The traits analysed in the lines were GY, prolificacy, ear height and diameter, number of rows per ear and kernels per row, kernel depth, grain weight, and GY in the testcrosses. QTL were mapped in the lines and in testcrosses and the predicted means of the lines were computed based on QTL effects and in all markers of the genome. Few QTL detected for GY and its components in the lines were coincident with the QTL for yield in testcrosses. The correlations between the predicted means of the lines and the phenotypic means of the testcrosses were not significant or low for most of the components. The coincidence of the selected lines and testcrosses was very low for all traits and the results were similar for both testcrosses and intensity. It is not possible to select testcrosses by using GY or its components information from the lines, even with the aid of molecular markers. |
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Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its componentsCorrelationEndogamyHybridizationIndirect selectionMarker assisted selectionYieldGrain yield (GY) is a direct function of its components and these traits to being less complex and highly correlated with yield. The objectives of this study were to map Quantitative Trait Loci (QTL) for GY and its components in maize lines and GY in their testcrosses, to verify its congruence and the possibility to select testcrosses from the predict means of the lines by using markers information. Two hundred and fifty-six S1 lines derived from the cross L-08-05F × L-14-04B of tropical germplasm and the testcrosses of these lines with two testers were evaluated in six environments. The traits analysed in the lines were GY, prolificacy, ear height and diameter, number of rows per ear and kernels per row, kernel depth, grain weight, and GY in the testcrosses. QTL were mapped in the lines and in testcrosses and the predicted means of the lines were computed based on QTL effects and in all markers of the genome. Few QTL detected for GY and its components in the lines were coincident with the QTL for yield in testcrosses. The correlations between the predicted means of the lines and the phenotypic means of the testcrosses were not significant or low for most of the components. The coincidence of the selected lines and testcrosses was very low for all traits and the results were similar for both testcrosses and intensity. It is not possible to select testcrosses by using GY or its components information from the lines, even with the aid of molecular markers.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Department of Plant Production School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp)Embrapa Beef Cattle Plant Production GroupDepartment of Genetics University of São Paulo, P.O. Box 83Department of Plant Production School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp)CNPq: 140964/2006-1Universidade Estadual Paulista (Unesp)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade de São Paulo (USP)Môro, Gustavo Vitti [UNESP]Santos, Mateus Figueiredode Souza Júnior, Cláudio Lopes2018-12-11T17:33:56Z2018-12-11T17:33:56Z2017-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1007/s10681-017-2018-xEuphytica, v. 213, n. 9, 2017.1573-50600014-2336http://hdl.handle.net/11449/17914610.1007/s10681-017-2018-x2-s2.0-850287510472-s2.0-85028751047.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEuphytica0,7420,742info:eu-repo/semantics/openAccess2024-06-07T13:56:26Zoai:repositorio.unesp.br:11449/179146Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:14:05.077948Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components |
title |
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components |
spellingShingle |
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components Môro, Gustavo Vitti [UNESP] Correlation Endogamy Hybridization Indirect selection Marker assisted selection Yield |
title_short |
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components |
title_full |
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components |
title_fullStr |
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components |
title_full_unstemmed |
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components |
title_sort |
Use of genomic and phenotypic selection in lines for prediction of testcrosses in maize I: grain yield and its components |
author |
Môro, Gustavo Vitti [UNESP] |
author_facet |
Môro, Gustavo Vitti [UNESP] Santos, Mateus Figueiredo de Souza Júnior, Cláudio Lopes |
author_role |
author |
author2 |
Santos, Mateus Figueiredo de Souza Júnior, Cláudio Lopes |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Môro, Gustavo Vitti [UNESP] Santos, Mateus Figueiredo de Souza Júnior, Cláudio Lopes |
dc.subject.por.fl_str_mv |
Correlation Endogamy Hybridization Indirect selection Marker assisted selection Yield |
topic |
Correlation Endogamy Hybridization Indirect selection Marker assisted selection Yield |
description |
Grain yield (GY) is a direct function of its components and these traits to being less complex and highly correlated with yield. The objectives of this study were to map Quantitative Trait Loci (QTL) for GY and its components in maize lines and GY in their testcrosses, to verify its congruence and the possibility to select testcrosses from the predict means of the lines by using markers information. Two hundred and fifty-six S1 lines derived from the cross L-08-05F × L-14-04B of tropical germplasm and the testcrosses of these lines with two testers were evaluated in six environments. The traits analysed in the lines were GY, prolificacy, ear height and diameter, number of rows per ear and kernels per row, kernel depth, grain weight, and GY in the testcrosses. QTL were mapped in the lines and in testcrosses and the predicted means of the lines were computed based on QTL effects and in all markers of the genome. Few QTL detected for GY and its components in the lines were coincident with the QTL for yield in testcrosses. The correlations between the predicted means of the lines and the phenotypic means of the testcrosses were not significant or low for most of the components. The coincidence of the selected lines and testcrosses was very low for all traits and the results were similar for both testcrosses and intensity. It is not possible to select testcrosses by using GY or its components information from the lines, even with the aid of molecular markers. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-01 2018-12-11T17:33:56Z 2018-12-11T17:33:56Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s10681-017-2018-x Euphytica, v. 213, n. 9, 2017. 1573-5060 0014-2336 http://hdl.handle.net/11449/179146 10.1007/s10681-017-2018-x 2-s2.0-85028751047 2-s2.0-85028751047.pdf |
url |
http://dx.doi.org/10.1007/s10681-017-2018-x http://hdl.handle.net/11449/179146 |
identifier_str_mv |
Euphytica, v. 213, n. 9, 2017. 1573-5060 0014-2336 10.1007/s10681-017-2018-x 2-s2.0-85028751047 2-s2.0-85028751047.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Euphytica 0,742 0,742 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808129038284226560 |