Estimation of optimum plot sizes in field experiments with annatto

Detalhes bibliográficos
Autor(a) principal: Viana,Anselmo Eloy Silveira
Data de Publicação: 2002
Outros Autores: São José,Abel Rebouças, Matsumoto,Sylvana Naomi, Sales-Júnior,Sálvio Gusmão
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052002000200011
Resumo: The objective of this study was to estimate the optimum plots size for experiments with annatto. The uniformity assay consisted of 12 rows with 12 plants in each row. The variety Bico de Pato was used, planted in 5 x 4 m spacing and evaluated at 5 years of age. Three methods were used: maximum curvature, modified maximum curvature and the comparison of variances. The plot size estimate varied according to the methodology used and the characteristic analyzed. The adequate plot size was found to be 107.2 m² (5 plants) using the modified maximum curvature method, which resulted in more precise estimates , taking into consideration that the ideal plot should facilitate the efficient evaluation of all characteristics analyzed in this experiment.
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spelling Estimation of optimum plot sizes in field experiments with annattoBixa orellana L.coefficient of variationvariancemaximum curvature methodexperimentationThe objective of this study was to estimate the optimum plots size for experiments with annatto. The uniformity assay consisted of 12 rows with 12 plants in each row. The variety Bico de Pato was used, planted in 5 x 4 m spacing and evaluated at 5 years of age. Three methods were used: maximum curvature, modified maximum curvature and the comparison of variances. The plot size estimate varied according to the methodology used and the characteristic analyzed. The adequate plot size was found to be 107.2 m² (5 plants) using the modified maximum curvature method, which resulted in more precise estimates , taking into consideration that the ideal plot should facilitate the efficient evaluation of all characteristics analyzed in this experiment.Instituto Agronômico de Campinas2002-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052002000200011Bragantia v.61 n.2 2002reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/S0006-87052002000200011info:eu-repo/semantics/openAccessViana,Anselmo Eloy SilveiraSão José,Abel RebouçasMatsumoto,Sylvana NaomiSales-Júnior,Sálvio Gusmãoeng2004-02-16T00:00:00Zoai:scielo:S0006-87052002000200011Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2004-02-16T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Estimation of optimum plot sizes in field experiments with annatto
title Estimation of optimum plot sizes in field experiments with annatto
spellingShingle Estimation of optimum plot sizes in field experiments with annatto
Viana,Anselmo Eloy Silveira
Bixa orellana L.
coefficient of variation
variance
maximum curvature method
experimentation
title_short Estimation of optimum plot sizes in field experiments with annatto
title_full Estimation of optimum plot sizes in field experiments with annatto
title_fullStr Estimation of optimum plot sizes in field experiments with annatto
title_full_unstemmed Estimation of optimum plot sizes in field experiments with annatto
title_sort Estimation of optimum plot sizes in field experiments with annatto
author Viana,Anselmo Eloy Silveira
author_facet Viana,Anselmo Eloy Silveira
São José,Abel Rebouças
Matsumoto,Sylvana Naomi
Sales-Júnior,Sálvio Gusmão
author_role author
author2 São José,Abel Rebouças
Matsumoto,Sylvana Naomi
Sales-Júnior,Sálvio Gusmão
author2_role author
author
author
dc.contributor.author.fl_str_mv Viana,Anselmo Eloy Silveira
São José,Abel Rebouças
Matsumoto,Sylvana Naomi
Sales-Júnior,Sálvio Gusmão
dc.subject.por.fl_str_mv Bixa orellana L.
coefficient of variation
variance
maximum curvature method
experimentation
topic Bixa orellana L.
coefficient of variation
variance
maximum curvature method
experimentation
description The objective of this study was to estimate the optimum plots size for experiments with annatto. The uniformity assay consisted of 12 rows with 12 plants in each row. The variety Bico de Pato was used, planted in 5 x 4 m spacing and evaluated at 5 years of age. Three methods were used: maximum curvature, modified maximum curvature and the comparison of variances. The plot size estimate varied according to the methodology used and the characteristic analyzed. The adequate plot size was found to be 107.2 m² (5 plants) using the modified maximum curvature method, which resulted in more precise estimates , taking into consideration that the ideal plot should facilitate the efficient evaluation of all characteristics analyzed in this experiment.
publishDate 2002
dc.date.none.fl_str_mv 2002-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052002000200011
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052002000200011
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0006-87052002000200011
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.61 n.2 2002
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
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