The optimum plot size in experiments with rubber trees

Detalhes bibliográficos
Autor(a) principal: Pimentel-Gomes, Frederico
Data de Publicação: 2014
Outros Autores: Rossetti, Adroaldo Guimarães, Viégas, Rosemary Moraes Ferreira
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/18411
Resumo: The mathematical-statistical study of the problem of optimum plot size in experiments with rubber trees, by the methodology of the intraclass correlation coefficient (p), was carried out with the aid of data from four Brazilian experiments. The methodology applied defines as optimum plot size the number (k) of test trees per plot that minimizes the variance of a treatment mean, for a fixed total number (N) of trees, per treatment. In the case of a complete guard row, it led to recommend of 6 to 12 test trees in two rows, or 9 to 18 in three rows. Plots with one half guard row should have 4 to 10 test plants in two rows, or 6 to 15 in three rows. The usual number of replications in experiments with rubber trees (3, in most cases) is not enough, in general. When small plots are used, greater is the need to increase the number of replications, which should not be less than 5. But even with more replications, trials with small plots allow a considerable reduction in the experimental area, without loss of precision. 
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spelling The optimum plot size in experiments with rubber treesTamanho ótimo de parcelas para experimentação com seringueiraintraclass correlation coefficient; guard rows; variance of treatment meancoeficiente de correlação intraclasse; bordaduras; variância da média de um tratamentoThe mathematical-statistical study of the problem of optimum plot size in experiments with rubber trees, by the methodology of the intraclass correlation coefficient (p), was carried out with the aid of data from four Brazilian experiments. The methodology applied defines as optimum plot size the number (k) of test trees per plot that minimizes the variance of a treatment mean, for a fixed total number (N) of trees, per treatment. In the case of a complete guard row, it led to recommend of 6 to 12 test trees in two rows, or 9 to 18 in three rows. Plots with one half guard row should have 4 to 10 test plants in two rows, or 6 to 15 in three rows. The usual number of replications in experiments with rubber trees (3, in most cases) is not enough, in general. When small plots are used, greater is the need to increase the number of replications, which should not be less than 5. But even with more replications, trials with small plots allow a considerable reduction in the experimental area, without loss of precision. O estudo matemático-estatístico do problema do tamanho ótimo de parcelas de experimentos de seringueira, através da metodologia do coeficiente de correlação intraclasse (p), foi feito com a utilização de dados de quatro experimentos brasileiros, um realizado no Pará, e três no Amazonas. Na metodologia aplicada, define-se como tamanho ótimo o número (k) de plantas úteis, por parcela, que minimiza a variância da média de cada tratamento, para um número total fixo (N) de árvores, por tratamento. No caso de bordadura completa, obteve-se a recomendação de 6 a 12 árvores em duas linhas úteis, ou 9 a 18, em três linhas. As parcelas com meia bordadura devem ter 4 a 10 plantas úteis em duas linhas, ou 6 a 15 em três linhas. O número usual de repetições em experimentos de seringueira (geralmente 3) é insuficiente em muitos casos. Quando as parcelas são pequenas, maior é a necessidade de aumentar o número de repetições, que não deveria ser inferior a cinco. Embora com maior número de repetições, os ensaios com parcelas pequenas permitem notável redução da área experimental, sem prejuízo de sua precisão. Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraPimentel-Gomes, FredericoRossetti, Adroaldo GuimarãesViégas, Rosemary Moraes Ferreira2014-04-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/18411Pesquisa Agropecuaria Brasileira; v.24, n.8, ago. 1989; 1021-1026Pesquisa Agropecuária Brasileira; v.24, n.8, ago. 1989; 1021-10261678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/18411/12269info:eu-repo/semantics/openAccess2014-08-28T18:55:39Zoai:ojs.seer.sct.embrapa.br:article/18411Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-08-28T18:55:39Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv The optimum plot size in experiments with rubber trees
Tamanho ótimo de parcelas para experimentação com seringueira
title The optimum plot size in experiments with rubber trees
spellingShingle The optimum plot size in experiments with rubber trees
Pimentel-Gomes, Frederico
intraclass correlation coefficient; guard rows; variance of treatment mean
coeficiente de correlação intraclasse; bordaduras; variância da média de um tratamento
title_short The optimum plot size in experiments with rubber trees
title_full The optimum plot size in experiments with rubber trees
title_fullStr The optimum plot size in experiments with rubber trees
title_full_unstemmed The optimum plot size in experiments with rubber trees
title_sort The optimum plot size in experiments with rubber trees
author Pimentel-Gomes, Frederico
author_facet Pimentel-Gomes, Frederico
Rossetti, Adroaldo Guimarães
Viégas, Rosemary Moraes Ferreira
author_role author
author2 Rossetti, Adroaldo Guimarães
Viégas, Rosemary Moraes Ferreira
author2_role author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Pimentel-Gomes, Frederico
Rossetti, Adroaldo Guimarães
Viégas, Rosemary Moraes Ferreira
dc.subject.por.fl_str_mv intraclass correlation coefficient; guard rows; variance of treatment mean
coeficiente de correlação intraclasse; bordaduras; variância da média de um tratamento
topic intraclass correlation coefficient; guard rows; variance of treatment mean
coeficiente de correlação intraclasse; bordaduras; variância da média de um tratamento
description The mathematical-statistical study of the problem of optimum plot size in experiments with rubber trees, by the methodology of the intraclass correlation coefficient (p), was carried out with the aid of data from four Brazilian experiments. The methodology applied defines as optimum plot size the number (k) of test trees per plot that minimizes the variance of a treatment mean, for a fixed total number (N) of trees, per treatment. In the case of a complete guard row, it led to recommend of 6 to 12 test trees in two rows, or 9 to 18 in three rows. Plots with one half guard row should have 4 to 10 test plants in two rows, or 6 to 15 in three rows. The usual number of replications in experiments with rubber trees (3, in most cases) is not enough, in general. When small plots are used, greater is the need to increase the number of replications, which should not be less than 5. But even with more replications, trials with small plots allow a considerable reduction in the experimental area, without loss of precision. 
publishDate 2014
dc.date.none.fl_str_mv 2014-04-17
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/18411
url https://seer.sct.embrapa.br/index.php/pab/article/view/18411
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/18411/12269
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.24, n.8, ago. 1989; 1021-1026
Pesquisa Agropecuária Brasileira; v.24, n.8, ago. 1989; 1021-1026
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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