Sample size to estimate the Pearson correlation coefficient among characters of castor bean

Detalhes bibliográficos
Autor(a) principal: Cargnelutti Filho, Alberto
Data de Publicação: 2012
Outros Autores: Lopes, Sidinei José, Brum, Betânia, Toebe, Marcos, Silveira, Tatiani Reis da, Casarotto, Gabriele
Tipo de documento: Artigo
Idioma: por
Título da fonte: Semina. Ciências Agrárias (Online)
DOI: 10.5433/1679-0359.2012v33n3p953
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/6638
Resumo: In the study of linear relationships, it is important to define correctly the sample size, to estimate the Pearson correlation coefficient among pairs of characters, with acceptable reliability. The aim of this research was to determine the sample size (number of plants) to estimate the Pearson correlation coefficient among 21 characters of castor bean. It was evaluated 41 and 55 plants of the Sara and Lyra hybrids, respectively, regarding to the characters of seed, seedling, adult plant and yield in Santa Maria, Rio Grande do Sul State, Brazil, in the agriculture year of 2007/2008. It was calculated the sample size through bootstrap resampling, to estimate the Pearson correlation coefficient, for the amplitudes of the bootstrap confidence interval 95% equal to 0.20, 0.35 and 0.50, for each of 210 pairs of characters. Regardless of the castor bean hybrids, 96 plants are sufficient to estimate the Pearson correlation coefficient, to the amplitude of the bootstrap confidence interval 95%, maximum of the 0.52.
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spelling Sample size to estimate the Pearson correlation coefficient among characters of castor beanTamanho de amostra para a estimação do coeficiente de correlação linear de Pearson entre caracteres de mamoneiraRicinus communis L.Experimental planningBootstrap resamplingSample dimensioningExperimental precision.Ricinus communis L.Planejamento experimentalReamostragem “bootstrap”Dimensionamento de amostraPrecisão experimental.5.01.03.00-8 FitotecniaIn the study of linear relationships, it is important to define correctly the sample size, to estimate the Pearson correlation coefficient among pairs of characters, with acceptable reliability. The aim of this research was to determine the sample size (number of plants) to estimate the Pearson correlation coefficient among 21 characters of castor bean. It was evaluated 41 and 55 plants of the Sara and Lyra hybrids, respectively, regarding to the characters of seed, seedling, adult plant and yield in Santa Maria, Rio Grande do Sul State, Brazil, in the agriculture year of 2007/2008. It was calculated the sample size through bootstrap resampling, to estimate the Pearson correlation coefficient, for the amplitudes of the bootstrap confidence interval 95% equal to 0.20, 0.35 and 0.50, for each of 210 pairs of characters. Regardless of the castor bean hybrids, 96 plants are sufficient to estimate the Pearson correlation coefficient, to the amplitude of the bootstrap confidence interval 95%, maximum of the 0.52.No estudo de relações lineares é importante dimensionar adequadamente a amostra para a estimação do coeficiente de correlação linear de Pearson entre pares de caracteres, com confiabilidade aceitável. O objetivo deste trabalho foi determinar o tamanho de amostra (número de plantas) para a estimação do coeficiente de correlação linear de Pearson entre 21 caracteres de mamoneira. Foram avaliadas 41 e 55 plantas dos híbridos Sara e Lyra, respectivamente, quanto aos caracteres de semente, de plântula, de planta adulta e de produção, em Santa Maria, Estado do Rio Grande do Sul, no ano agrícola de 2007/2008. Calculou-se o tamanho de amostra por meio de reamostragem “bootstrap”, para a estimação do coeficiente de correlação linear de Pearson, para as amplitudes do intervalo de confiança de “bootstrap” de 95% iguais a 0,20, 0,35 e 0,50, para cada um dos 210 pares de caracteres. Independentemente do híbrido de mamoneira, 96 plantas são suficientes para a estimação do coeficiente de correlação linear de Pearson, para a amplitude do intervalo de confiança de “bootstrap” de 95%, máxima de 0,52.UEL2012-06-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisaapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/663810.5433/1679-0359.2012v33n3p953Semina: Ciências Agrárias; Vol. 33 No. 3 (2012); 953-962Semina: Ciências Agrárias; v. 33 n. 3 (2012); 953-9621679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELporhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/6638/10821Cargnelutti Filho, AlbertoLopes, Sidinei JoséBrum, BetâniaToebe, MarcosSilveira, Tatiani Reis daCasarotto, Gabrieleinfo:eu-repo/semantics/openAccess2015-11-19T18:37:30Zoai:ojs.pkp.sfu.ca:article/6638Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2015-11-19T18:37:30Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Sample size to estimate the Pearson correlation coefficient among characters of castor bean
Tamanho de amostra para a estimação do coeficiente de correlação linear de Pearson entre caracteres de mamoneira
title Sample size to estimate the Pearson correlation coefficient among characters of castor bean
spellingShingle Sample size to estimate the Pearson correlation coefficient among characters of castor bean
Sample size to estimate the Pearson correlation coefficient among characters of castor bean
Cargnelutti Filho, Alberto
Ricinus communis L.
Experimental planning
Bootstrap resampling
Sample dimensioning
Experimental precision.
Ricinus communis L.
Planejamento experimental
Reamostragem “bootstrap”
Dimensionamento de amostra
Precisão experimental.
5.01.03.00-8 Fitotecnia
Cargnelutti Filho, Alberto
Ricinus communis L.
Experimental planning
Bootstrap resampling
Sample dimensioning
Experimental precision.
Ricinus communis L.
Planejamento experimental
Reamostragem “bootstrap”
Dimensionamento de amostra
Precisão experimental.
5.01.03.00-8 Fitotecnia
title_short Sample size to estimate the Pearson correlation coefficient among characters of castor bean
title_full Sample size to estimate the Pearson correlation coefficient among characters of castor bean
title_fullStr Sample size to estimate the Pearson correlation coefficient among characters of castor bean
Sample size to estimate the Pearson correlation coefficient among characters of castor bean
title_full_unstemmed Sample size to estimate the Pearson correlation coefficient among characters of castor bean
Sample size to estimate the Pearson correlation coefficient among characters of castor bean
title_sort Sample size to estimate the Pearson correlation coefficient among characters of castor bean
author Cargnelutti Filho, Alberto
author_facet Cargnelutti Filho, Alberto
Cargnelutti Filho, Alberto
Lopes, Sidinei José
Brum, Betânia
Toebe, Marcos
Silveira, Tatiani Reis da
Casarotto, Gabriele
Lopes, Sidinei José
Brum, Betânia
Toebe, Marcos
Silveira, Tatiani Reis da
Casarotto, Gabriele
author_role author
author2 Lopes, Sidinei José
Brum, Betânia
Toebe, Marcos
Silveira, Tatiani Reis da
Casarotto, Gabriele
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cargnelutti Filho, Alberto
Lopes, Sidinei José
Brum, Betânia
Toebe, Marcos
Silveira, Tatiani Reis da
Casarotto, Gabriele
dc.subject.por.fl_str_mv Ricinus communis L.
Experimental planning
Bootstrap resampling
Sample dimensioning
Experimental precision.
Ricinus communis L.
Planejamento experimental
Reamostragem “bootstrap”
Dimensionamento de amostra
Precisão experimental.
5.01.03.00-8 Fitotecnia
topic Ricinus communis L.
Experimental planning
Bootstrap resampling
Sample dimensioning
Experimental precision.
Ricinus communis L.
Planejamento experimental
Reamostragem “bootstrap”
Dimensionamento de amostra
Precisão experimental.
5.01.03.00-8 Fitotecnia
description In the study of linear relationships, it is important to define correctly the sample size, to estimate the Pearson correlation coefficient among pairs of characters, with acceptable reliability. The aim of this research was to determine the sample size (number of plants) to estimate the Pearson correlation coefficient among 21 characters of castor bean. It was evaluated 41 and 55 plants of the Sara and Lyra hybrids, respectively, regarding to the characters of seed, seedling, adult plant and yield in Santa Maria, Rio Grande do Sul State, Brazil, in the agriculture year of 2007/2008. It was calculated the sample size through bootstrap resampling, to estimate the Pearson correlation coefficient, for the amplitudes of the bootstrap confidence interval 95% equal to 0.20, 0.35 and 0.50, for each of 210 pairs of characters. Regardless of the castor bean hybrids, 96 plants are sufficient to estimate the Pearson correlation coefficient, to the amplitude of the bootstrap confidence interval 95%, maximum of the 0.52.
publishDate 2012
dc.date.none.fl_str_mv 2012-06-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/6638
10.5433/1679-0359.2012v33n3p953
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/6638
identifier_str_mv 10.5433/1679-0359.2012v33n3p953
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/6638/10821
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 UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 33 No. 3 (2012); 953-962
Semina: Ciências Agrárias; v. 33 n. 3 (2012); 953-962
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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dc.identifier.doi.none.fl_str_mv 10.5433/1679-0359.2012v33n3p953

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