Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1815439367206862848 |