Adjustments of error mean square in corn cultivar competition trials by Papadakis method
Autor(a) principal: | |
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Data de Publicação: | 2003 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/6595 |
Resumo: | The objective of this work was to evaluate the different ways to calculate the yield index, used as covariable for the Papadakis method, and to verify if this method is efficient to increase the experimental precision in corn (Zea mays L.) cultivars competition trials with high number of treatments. The following analysis was performed using grain yield data: mathematical model assumption, analysis of variance in the randomized complete block design (conventional analysis), and analysis of covariance in the completely random design using yield index as a covariable. The yield index covariable was estimated using five different variants of the Papadakis method. The comparisons between the conventional analysis and the Papadakis method was done with the mean square error, coefficient of variation, least significant differences of Tukey test, group numbers of Scott-Knott cluster analysis, and differentiation index of Fasoulas. Papadakis method improved the experimental precision from 10.5% to 48.1% in all different ways used to estimate index yield covariable. The four hills neighboring the reference hill was the best index to increase experimental precision. |
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Adjustments of error mean square in corn cultivar competition trials by Papadakis methodAjustes de quadrado médio do erro em ensaios de competição de cultivares de milho pelo método de PapadakisZea mays; Fasoulas; experimental precisionZea mays; Fasoulas; precisão experimentalThe objective of this work was to evaluate the different ways to calculate the yield index, used as covariable for the Papadakis method, and to verify if this method is efficient to increase the experimental precision in corn (Zea mays L.) cultivars competition trials with high number of treatments. The following analysis was performed using grain yield data: mathematical model assumption, analysis of variance in the randomized complete block design (conventional analysis), and analysis of covariance in the completely random design using yield index as a covariable. The yield index covariable was estimated using five different variants of the Papadakis method. The comparisons between the conventional analysis and the Papadakis method was done with the mean square error, coefficient of variation, least significant differences of Tukey test, group numbers of Scott-Knott cluster analysis, and differentiation index of Fasoulas. Papadakis method improved the experimental precision from 10.5% to 48.1% in all different ways used to estimate index yield covariable. The four hills neighboring the reference hill was the best index to increase experimental precision.O objetivo deste trabalho foi avaliar as diferentes formas de calcular o índice de produtividade, usado como covariável pelo método de Papadakis, e verificar se este método é eficiente para aumentar a precisão experimental nos ensaios de competição de cultivares de milho (Zea mays L.) com grande número de tratamentos. Em relação ao rendimento de grãos, procedeu-se a verificação das pressuposições do modelo matemático, a análise da variância no delineamento de blocos ao acaso e a análise de covariância no delineamento inteiramente casualizado, usando como covariável o índice de produtividade estimado por cinco formas (método de Papadakis). A comparação da análise convencional (blocos ao acaso) com a análise pelo método de Papadakis foi realizada com base nas estimativas do quadrado médio do erro, coeficiente de variação, diferença mínima significativa pelo teste de Tukey, número de grupos formados pelo teste de Scott-Knott e o índice de diferenciação de Fasoulas. O método de Papadakis melhorou a precisão experimental entre 10,5% e 48,1% em relação às diferentes formas de estimação da covariável índice de produtividade, mostrando que a vizinhança mais próxima (unidade experimental de referência e as quatro laterais) é a forma mais eficiente na redução do erro experimental.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraFilho, Alberto CargneluttiStorck, LindolfoLúcio, Alessandro Dal'Col2003-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/6595Pesquisa Agropecuaria Brasileira; v.38, n.4, abr. 2003; 467-473Pesquisa Agropecuária Brasileira; v.38, n.4, abr. 2003; 467-4731678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/6595/3652info:eu-repo/semantics/openAccess2014-08-13T16:51:54Zoai:ojs.seer.sct.embrapa.br:article/6595Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-08-13T16:51:54Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Adjustments of error mean square in corn cultivar competition trials by Papadakis method Ajustes de quadrado médio do erro em ensaios de competição de cultivares de milho pelo método de Papadakis |
title |
Adjustments of error mean square in corn cultivar competition trials by Papadakis method |
spellingShingle |
Adjustments of error mean square in corn cultivar competition trials by Papadakis method Filho, Alberto Cargnelutti Zea mays; Fasoulas; experimental precision Zea mays; Fasoulas; precisão experimental |
title_short |
Adjustments of error mean square in corn cultivar competition trials by Papadakis method |
title_full |
Adjustments of error mean square in corn cultivar competition trials by Papadakis method |
title_fullStr |
Adjustments of error mean square in corn cultivar competition trials by Papadakis method |
title_full_unstemmed |
Adjustments of error mean square in corn cultivar competition trials by Papadakis method |
title_sort |
Adjustments of error mean square in corn cultivar competition trials by Papadakis method |
author |
Filho, Alberto Cargnelutti |
author_facet |
Filho, Alberto Cargnelutti Storck, Lindolfo Lúcio, Alessandro Dal'Col |
author_role |
author |
author2 |
Storck, Lindolfo Lúcio, Alessandro Dal'Col |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Filho, Alberto Cargnelutti Storck, Lindolfo Lúcio, Alessandro Dal'Col |
dc.subject.por.fl_str_mv |
Zea mays; Fasoulas; experimental precision Zea mays; Fasoulas; precisão experimental |
topic |
Zea mays; Fasoulas; experimental precision Zea mays; Fasoulas; precisão experimental |
description |
The objective of this work was to evaluate the different ways to calculate the yield index, used as covariable for the Papadakis method, and to verify if this method is efficient to increase the experimental precision in corn (Zea mays L.) cultivars competition trials with high number of treatments. The following analysis was performed using grain yield data: mathematical model assumption, analysis of variance in the randomized complete block design (conventional analysis), and analysis of covariance in the completely random design using yield index as a covariable. The yield index covariable was estimated using five different variants of the Papadakis method. The comparisons between the conventional analysis and the Papadakis method was done with the mean square error, coefficient of variation, least significant differences of Tukey test, group numbers of Scott-Knott cluster analysis, and differentiation index of Fasoulas. Papadakis method improved the experimental precision from 10.5% to 48.1% in all different ways used to estimate index yield covariable. The four hills neighboring the reference hill was the best index to increase experimental precision. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-04-01 |
dc.type.none.fl_str_mv |
|
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 |
https://seer.sct.embrapa.br/index.php/pab/article/view/6595 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/6595 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/6595/3652 |
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 |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.38, n.4, abr. 2003; 467-473 Pesquisa Agropecuária Brasileira; v.38, n.4, abr. 2003; 467-473 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416682323050496 |