Optimum environment number for the national sunflower trials network
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42792 |
Resumo: | This work aimed to present the optimum environment number methodology and propose the optimization of the National Sunflower Trials Network, by means of the environments exclusion that do not provide loss of the environmental variability already established. Grain and oil yield data of 16 genotypes evaluated at 16 environments of the National Sunflower Trials Network, obtained from trials conducted out-of-season in 2012 and 2013 were used. An analysis was proposed to establish the optimum environment number for genotypes evaluation, based on genotype performance in the various environmental combinations. The removal or maintenance of environments in the experimental network was dynamic, since different environmental combinations impacted the representativeness of the complete network in a different way. This analysis also provides a graphical view of the impact of the environment removal from the network. Once detected points below the established correlation, the researcher could infer about the network minimum environment number and, suggest through consistent information of several testing years, the environment exclusion. |
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Acta Scientiarum. Agronomy (Online) |
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Optimum environment number for the national sunflower trials networkHelianthus annuus L.; environmental stratification; experimental network.GenéticaThis work aimed to present the optimum environment number methodology and propose the optimization of the National Sunflower Trials Network, by means of the environments exclusion that do not provide loss of the environmental variability already established. Grain and oil yield data of 16 genotypes evaluated at 16 environments of the National Sunflower Trials Network, obtained from trials conducted out-of-season in 2012 and 2013 were used. An analysis was proposed to establish the optimum environment number for genotypes evaluation, based on genotype performance in the various environmental combinations. The removal or maintenance of environments in the experimental network was dynamic, since different environmental combinations impacted the representativeness of the complete network in a different way. This analysis also provides a graphical view of the impact of the environment removal from the network. Once detected points below the established correlation, the researcher could infer about the network minimum environment number and, suggest through consistent information of several testing years, the environment exclusion.Universidade Estadual de Maringá2019-09-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4279210.4025/actasciagron.v42i1.42792Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e42792Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e427921807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42792/751375148406Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMatta, Luiza BarbosaCruz, Cosme DamiãoSantos, Iara GonçalvesCarvalho, Claudio Guilherme PortelaBorba Filho, Aluisio BrigidoAlves, Alberto Donizete2020-11-16T18:51:04Zoai:periodicos.uem.br/ojs:article/42792Revistahttp://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:2020-11-16T18:51:04Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Optimum environment number for the national sunflower trials network |
title |
Optimum environment number for the national sunflower trials network |
spellingShingle |
Optimum environment number for the national sunflower trials network Matta, Luiza Barbosa Helianthus annuus L.; environmental stratification; experimental network. Genética |
title_short |
Optimum environment number for the national sunflower trials network |
title_full |
Optimum environment number for the national sunflower trials network |
title_fullStr |
Optimum environment number for the national sunflower trials network |
title_full_unstemmed |
Optimum environment number for the national sunflower trials network |
title_sort |
Optimum environment number for the national sunflower trials network |
author |
Matta, Luiza Barbosa |
author_facet |
Matta, Luiza Barbosa Cruz, Cosme Damião Santos, Iara Gonçalves Carvalho, Claudio Guilherme Portela Borba Filho, Aluisio Brigido Alves, Alberto Donizete |
author_role |
author |
author2 |
Cruz, Cosme Damião Santos, Iara Gonçalves Carvalho, Claudio Guilherme Portela Borba Filho, Aluisio Brigido Alves, Alberto Donizete |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Matta, Luiza Barbosa Cruz, Cosme Damião Santos, Iara Gonçalves Carvalho, Claudio Guilherme Portela Borba Filho, Aluisio Brigido Alves, Alberto Donizete |
dc.subject.por.fl_str_mv |
Helianthus annuus L.; environmental stratification; experimental network. Genética |
topic |
Helianthus annuus L.; environmental stratification; experimental network. Genética |
description |
This work aimed to present the optimum environment number methodology and propose the optimization of the National Sunflower Trials Network, by means of the environments exclusion that do not provide loss of the environmental variability already established. Grain and oil yield data of 16 genotypes evaluated at 16 environments of the National Sunflower Trials Network, obtained from trials conducted out-of-season in 2012 and 2013 were used. An analysis was proposed to establish the optimum environment number for genotypes evaluation, based on genotype performance in the various environmental combinations. The removal or maintenance of environments in the experimental network was dynamic, since different environmental combinations impacted the representativeness of the complete network in a different way. This analysis also provides a graphical view of the impact of the environment removal from the network. Once detected points below the established correlation, the researcher could infer about the network minimum environment number and, suggest through consistent information of several testing years, the environment exclusion. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-20 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42792 10.4025/actasciagron.v42i1.42792 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42792 |
identifier_str_mv |
10.4025/actasciagron.v42i1.42792 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42792/751375148406 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
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 42 (2020): Publicação contínua; e42792 Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e42792 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_ |
1799305911246782464 |