A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | http://dx.doi.org/10.1007/s10681-016-1722-2 http://www.locus.ufv.br/handle/123456789/22265 |
Resumo: | In maize, the fungi that cause Fusarium ear rot result not only in decreased grain yield and quality, but also grain contamination by fumonisin. This study investigated the inheritance of fumonisin contamination resistance (FCR) in tropical maize, based on a multi-environment trials diallel analysis via mixed models. For this purpose, based on 13 inbred lines, single-cross hybrids were created and assessed in three environments. A mixed model diallel joint analysis across environments was performed, considering the existence of environment-specific variances and correlations between pairs of environments for general combining ability (GCA) and specific combining ability (SCA) effects, and additive genomic relationship between inbred lines for the prediction of GCA and SCA. For all environments, the SCA variance had a higher magnitude than the GCA variance, indicating a predominance of the dominance effects underlying FCR in tropical maize. Moreover, the proportion of the variance among single-cross hybrids that was due to GCA varied from 16 to 22 % across environments, suggesting that SCA is important to predict the hybrids performance. Through modeling variance–covariance structures for GCA and SCA, it was possible to observe that the GCA effects were stable, whereas the SCA effects were specific for each environment. Therefore, these results suggest that the selection of the best parents for the development of new inbred lines can be carried out through the average performance across the evaluated environments. Due to the importance of SCA effects and their complex interaction with environments, the selection of superior hybrids should be performed into specific environments. |
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Ribeiro, Carlos Alexandre GomesPádua, José Maria VillelaDias, Kaio Olímpio das GraçasPastina, Maria MartaSouza, João Cândido deQueiroz, Valéria Aparecida VieiraCosta, Rodrigo Veras daSilva, Maria Beatriz Pereira daGuimarães, Claudia TeixeiraGezan, Salvador AlejandroGuimarães, Lauro José Moreira2018-10-16T11:22:37Z2018-10-16T11:22:37Z2016-06-0915735060http://dx.doi.org/10.1007/s10681-016-1722-2http://www.locus.ufv.br/handle/123456789/22265In maize, the fungi that cause Fusarium ear rot result not only in decreased grain yield and quality, but also grain contamination by fumonisin. This study investigated the inheritance of fumonisin contamination resistance (FCR) in tropical maize, based on a multi-environment trials diallel analysis via mixed models. For this purpose, based on 13 inbred lines, single-cross hybrids were created and assessed in three environments. A mixed model diallel joint analysis across environments was performed, considering the existence of environment-specific variances and correlations between pairs of environments for general combining ability (GCA) and specific combining ability (SCA) effects, and additive genomic relationship between inbred lines for the prediction of GCA and SCA. For all environments, the SCA variance had a higher magnitude than the GCA variance, indicating a predominance of the dominance effects underlying FCR in tropical maize. Moreover, the proportion of the variance among single-cross hybrids that was due to GCA varied from 16 to 22 % across environments, suggesting that SCA is important to predict the hybrids performance. Through modeling variance–covariance structures for GCA and SCA, it was possible to observe that the GCA effects were stable, whereas the SCA effects were specific for each environment. Therefore, these results suggest that the selection of the best parents for the development of new inbred lines can be carried out through the average performance across the evaluated environments. Due to the importance of SCA effects and their complex interaction with environments, the selection of superior hybrids should be performed into specific environments.engEuphyticav. 211, n. 3, p. 277– 285,out. 2016Springer Nature Switzerland AG.info:eu-repo/semantics/openAccessZea maysMycotoxinsLinear mixed modelsVariance–covariance structuresAdditive genomic relationship matrixA multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maizeinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALartigo.pdfartigo.pdftexto completoapplication/pdf795101https://locus.ufv.br//bitstream/123456789/22265/1/artigo.pdf2108b0c66c62ac0233d6fae16db54ca4MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/22265/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/222652018-10-16 08:26:05.955oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452018-10-16T11:26:05LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.en.fl_str_mv |
A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize |
title |
A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize |
spellingShingle |
A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize Ribeiro, Carlos Alexandre Gomes Zea mays Mycotoxins Linear mixed models Variance–covariance structures Additive genomic relationship matrix |
title_short |
A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize |
title_full |
A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize |
title_fullStr |
A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize |
title_full_unstemmed |
A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize |
title_sort |
A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize |
author |
Ribeiro, Carlos Alexandre Gomes |
author_facet |
Ribeiro, Carlos Alexandre Gomes Pádua, José Maria Villela Dias, Kaio Olímpio das Graças Pastina, Maria Marta Souza, João Cândido de Queiroz, Valéria Aparecida Vieira Costa, Rodrigo Veras da Silva, Maria Beatriz Pereira da Guimarães, Claudia Teixeira Gezan, Salvador Alejandro Guimarães, Lauro José Moreira |
author_role |
author |
author2 |
Pádua, José Maria Villela Dias, Kaio Olímpio das Graças Pastina, Maria Marta Souza, João Cândido de Queiroz, Valéria Aparecida Vieira Costa, Rodrigo Veras da Silva, Maria Beatriz Pereira da Guimarães, Claudia Teixeira Gezan, Salvador Alejandro Guimarães, Lauro José Moreira |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Ribeiro, Carlos Alexandre Gomes Pádua, José Maria Villela Dias, Kaio Olímpio das Graças Pastina, Maria Marta Souza, João Cândido de Queiroz, Valéria Aparecida Vieira Costa, Rodrigo Veras da Silva, Maria Beatriz Pereira da Guimarães, Claudia Teixeira Gezan, Salvador Alejandro Guimarães, Lauro José Moreira |
dc.subject.pt-BR.fl_str_mv |
Zea mays Mycotoxins Linear mixed models Variance–covariance structures Additive genomic relationship matrix |
topic |
Zea mays Mycotoxins Linear mixed models Variance–covariance structures Additive genomic relationship matrix |
description |
In maize, the fungi that cause Fusarium ear rot result not only in decreased grain yield and quality, but also grain contamination by fumonisin. This study investigated the inheritance of fumonisin contamination resistance (FCR) in tropical maize, based on a multi-environment trials diallel analysis via mixed models. For this purpose, based on 13 inbred lines, single-cross hybrids were created and assessed in three environments. A mixed model diallel joint analysis across environments was performed, considering the existence of environment-specific variances and correlations between pairs of environments for general combining ability (GCA) and specific combining ability (SCA) effects, and additive genomic relationship between inbred lines for the prediction of GCA and SCA. For all environments, the SCA variance had a higher magnitude than the GCA variance, indicating a predominance of the dominance effects underlying FCR in tropical maize. Moreover, the proportion of the variance among single-cross hybrids that was due to GCA varied from 16 to 22 % across environments, suggesting that SCA is important to predict the hybrids performance. Through modeling variance–covariance structures for GCA and SCA, it was possible to observe that the GCA effects were stable, whereas the SCA effects were specific for each environment. Therefore, these results suggest that the selection of the best parents for the development of new inbred lines can be carried out through the average performance across the evaluated environments. Due to the importance of SCA effects and their complex interaction with environments, the selection of superior hybrids should be performed into specific environments. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016-06-09 |
dc.date.accessioned.fl_str_mv |
2018-10-16T11:22:37Z |
dc.date.available.fl_str_mv |
2018-10-16T11:22:37Z |
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/s10681-016-1722-2 http://www.locus.ufv.br/handle/123456789/22265 |
dc.identifier.issn.none.fl_str_mv |
15735060 |
identifier_str_mv |
15735060 |
url |
http://dx.doi.org/10.1007/s10681-016-1722-2 http://www.locus.ufv.br/handle/123456789/22265 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.pt-BR.fl_str_mv |
v. 211, n. 3, p. 277– 285,out. 2016 |
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Springer Nature Switzerland AG. info:eu-repo/semantics/openAccess |
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Springer Nature Switzerland AG. |
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openAccess |
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Euphytica |
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Euphytica |
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