Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn

Detalhes bibliográficos
Autor(a) principal: Veiga, Adriano Delly
Data de Publicação: 2012
Outros Autores: Von Pinho, Renzo Garcia, Resende, Luciane Vilela, Von Pinho, Édila Vilela de Resende, Balestre, Márcio, Pereira, Laís Andrade
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/1483
Resumo: The main objectives of hybrid development programs include incorporating genetic resistance to diseases and increasing grain yield. Identification of Quantitative Trait Loci (QTL) through the statistical analysis of molecular markers allows efficient selection of resistant and productive hybrids. The objective of this research was to identify QTL associated with resistance to gray leaf spot and for grain yield in the germplasm of tropical corn. We used two strains with different degrees of reaction to the disease; the genotypes are owned by GENESEEDS Ltda, their F1 hybrid and the F2 population. The plants were evaluated for gray leaf spot resistance, for grain yield and were genotyped with 94 microsatellite markers. Association of the markers with the QTL was performed by single marker analysis using linear regression and maximum likelihood analysis. It was observed that the additive effect was predominant for genetic control of resistance to gray leaf spot, and the dominant effect in that of grain yield. The most promising markers to be used in studies of assisted selection are: umc2082 in bins 4.03 and umc1117 in bins 4.04 for resistance to gray leaf spot; for grain yield umc1042 in bins 2.07 and umc1058 in bins 4.11.
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spelling Quantitative trait loci associated with resistance to gray leaf spot and grain yield in cornQTLs associados à resistência a cercosporiose e produção de grãos em milhoMaximum likelihoodMicrosatellitesRegressionMáxima verossimilhançaMicrossatélitesRegressãoThe main objectives of hybrid development programs include incorporating genetic resistance to diseases and increasing grain yield. Identification of Quantitative Trait Loci (QTL) through the statistical analysis of molecular markers allows efficient selection of resistant and productive hybrids. The objective of this research was to identify QTL associated with resistance to gray leaf spot and for grain yield in the germplasm of tropical corn. We used two strains with different degrees of reaction to the disease; the genotypes are owned by GENESEEDS Ltda, their F1 hybrid and the F2 population. The plants were evaluated for gray leaf spot resistance, for grain yield and were genotyped with 94 microsatellite markers. Association of the markers with the QTL was performed by single marker analysis using linear regression and maximum likelihood analysis. It was observed that the additive effect was predominant for genetic control of resistance to gray leaf spot, and the dominant effect in that of grain yield. The most promising markers to be used in studies of assisted selection are: umc2082 in bins 4.03 and umc1117 in bins 4.04 for resistance to gray leaf spot; for grain yield umc1042 in bins 2.07 and umc1058 in bins 4.11.A incorporação de resistência genética a doenças e o aumento na produtividade de grãos estão entre os principais objetivos dos programas de desenvolvimento de híbridos. A identificação de locos de caracteres quantitativos (QTL) por meio de análises estatísticas associadas a marcadores moleculares possibilita a rápida obtenção de híbridos resistentes e produtivos. Nesta pesquisa, objetivou-se identificar locos de caracteres quantitativos (QTL) associados com resistência à cercosporiose e com produção de grãos em germoplasma de milho tropical. Foram utilizadas duas linhagens contrastantes em níveis de reação à doença (genótipos pertencentes à GENESEEDS – Ltda), seu híbrido F1 e a população segregante F2. Essas plantas foram fenotipadas quanto à resistência a doença e quanto a produção de grãos e genotipadas com 94 marcadores de microssatélites. A associação dos marcadores ao QTL foi realizada por meio de análises de marcas individuais, utilizando as metodologias de regressão linear e análise da máxima verossimilhança. Observou-se que o tipo de efeito predominante no controle genético da resistência a cercosporiose foi o aditivo e para o controle genético da produção de grãos foi de dominância. Os marcadores microssatélites mais promissores para serem utilizados em estudos de seleção assistida para resistência a cercosporiose são umc2082 na posição 4.03 e umc1117 na posição 4.04 e para produção de grãos, umc1042 e umc1058 nas posições 2.07 e 4.11.Editora da Universidade Federal de Lavras2013-12-06T18:01:06Z2013-12-06T18:01:06Z2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfVEIGA, A. D. et al. Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn. Ciência e Agrotecnologia, Lavras, v. 36, n. 1, p. 31-38, jan./fev. 2012.http://repositorio.ufla.br/jspui/handle/1/1483Ciência e Agrotecnologiareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAVeiga, Adriano DellyVon Pinho, Renzo GarciaResende, Luciane VilelaVon Pinho, Édila Vilela de ResendeBalestre, MárcioPereira, Laís Andradeinfo:eu-repo/semantics/openAccesseng2023-05-26T19:43:49Zoai:localhost:1/1483Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-26T19:43:49Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn
QTLs associados à resistência a cercosporiose e produção de grãos em milho
title Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn
spellingShingle Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn
Veiga, Adriano Delly
Maximum likelihood
Microsatellites
Regression
Máxima verossimilhança
Microssatélites
Regressão
title_short Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn
title_full Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn
title_fullStr Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn
title_full_unstemmed Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn
title_sort Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn
author Veiga, Adriano Delly
author_facet Veiga, Adriano Delly
Von Pinho, Renzo Garcia
Resende, Luciane Vilela
Von Pinho, Édila Vilela de Resende
Balestre, Márcio
Pereira, Laís Andrade
author_role author
author2 Von Pinho, Renzo Garcia
Resende, Luciane Vilela
Von Pinho, Édila Vilela de Resende
Balestre, Márcio
Pereira, Laís Andrade
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Veiga, Adriano Delly
Von Pinho, Renzo Garcia
Resende, Luciane Vilela
Von Pinho, Édila Vilela de Resende
Balestre, Márcio
Pereira, Laís Andrade
dc.subject.por.fl_str_mv Maximum likelihood
Microsatellites
Regression
Máxima verossimilhança
Microssatélites
Regressão
topic Maximum likelihood
Microsatellites
Regression
Máxima verossimilhança
Microssatélites
Regressão
description The main objectives of hybrid development programs include incorporating genetic resistance to diseases and increasing grain yield. Identification of Quantitative Trait Loci (QTL) through the statistical analysis of molecular markers allows efficient selection of resistant and productive hybrids. The objective of this research was to identify QTL associated with resistance to gray leaf spot and for grain yield in the germplasm of tropical corn. We used two strains with different degrees of reaction to the disease; the genotypes are owned by GENESEEDS Ltda, their F1 hybrid and the F2 population. The plants were evaluated for gray leaf spot resistance, for grain yield and were genotyped with 94 microsatellite markers. Association of the markers with the QTL was performed by single marker analysis using linear regression and maximum likelihood analysis. It was observed that the additive effect was predominant for genetic control of resistance to gray leaf spot, and the dominant effect in that of grain yield. The most promising markers to be used in studies of assisted selection are: umc2082 in bins 4.03 and umc1117 in bins 4.04 for resistance to gray leaf spot; for grain yield umc1042 in bins 2.07 and umc1058 in bins 4.11.
publishDate 2012
dc.date.none.fl_str_mv 2012
2013-12-06T18:01:06Z
2013-12-06T18:01:06Z
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 VEIGA, A. D. et al. Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn. Ciência e Agrotecnologia, Lavras, v. 36, n. 1, p. 31-38, jan./fev. 2012.
http://repositorio.ufla.br/jspui/handle/1/1483
identifier_str_mv VEIGA, A. D. et al. Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn. Ciência e Agrotecnologia, Lavras, v. 36, n. 1, p. 31-38, jan./fev. 2012.
url http://repositorio.ufla.br/jspui/handle/1/1483
dc.language.iso.fl_str_mv eng
language eng
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.publisher.none.fl_str_mv Editora da Universidade Federal de Lavras
publisher.none.fl_str_mv Editora da Universidade Federal de Lavras
dc.source.none.fl_str_mv Ciência e Agrotecnologia
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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