Optimum plot size and number of replications related to selective precision

Detalhes bibliográficos
Autor(a) principal: Storck,Lindolfo
Data de Publicação: 2011
Outros Autores: Lopes,Sidinei José, Lúcio,Alessandro Dal'Col, Cargnelutti Filho,Alberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782011000300005
Resumo: Planning agricultural trials and evaluating their precision is important in determining the credibility of the results obtained from the research. There are various methods for estimating optimum plot size and various statistics used to measure precision. Selective precision has been cited recently as being an adequate measurement for evaluating experimental precision. The aim of this study is to propose a modification in the way the optimum plot size is estimated, related to the variability of the experimental area and prefixed selective precision. The method was applied to a set of six trials with potatoes. The optimum plot size, which was estimated on the basis of the relation between the variation coefficients and different plot sizes, can be estimated by considering simultaneously and in a prefixed way, the number of replications and the selective precision related to the treatments that are being evaluated. The optimum plot size for potato varies between four and thirteen hills, depending on the number of repetitions and the selective precision that will be used.
id UFSM-2_9d2c08014d8b1fbb9386296d1edb6145
oai_identifier_str oai:scielo:S0103-84782011000300005
network_acronym_str UFSM-2
network_name_str Ciência rural (Online)
repository_id_str
spelling Optimum plot size and number of replications related to selective precisionmeasurements of precisionexperimental planningplot sizePlanning agricultural trials and evaluating their precision is important in determining the credibility of the results obtained from the research. There are various methods for estimating optimum plot size and various statistics used to measure precision. Selective precision has been cited recently as being an adequate measurement for evaluating experimental precision. The aim of this study is to propose a modification in the way the optimum plot size is estimated, related to the variability of the experimental area and prefixed selective precision. The method was applied to a set of six trials with potatoes. The optimum plot size, which was estimated on the basis of the relation between the variation coefficients and different plot sizes, can be estimated by considering simultaneously and in a prefixed way, the number of replications and the selective precision related to the treatments that are being evaluated. The optimum plot size for potato varies between four and thirteen hills, depending on the number of repetitions and the selective precision that will be used.Universidade Federal de Santa Maria2011-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782011000300005Ciência Rural v.41 n.3 2011reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/S0103-84782011000300005info:eu-repo/semantics/openAccessStorck,LindolfoLopes,Sidinei JoséLúcio,Alessandro Dal'ColCargnelutti Filho,Albertoeng2011-03-23T00:00:00ZRevista
dc.title.none.fl_str_mv Optimum plot size and number of replications related to selective precision
title Optimum plot size and number of replications related to selective precision
spellingShingle Optimum plot size and number of replications related to selective precision
Storck,Lindolfo
measurements of precision
experimental planning
plot size
title_short Optimum plot size and number of replications related to selective precision
title_full Optimum plot size and number of replications related to selective precision
title_fullStr Optimum plot size and number of replications related to selective precision
title_full_unstemmed Optimum plot size and number of replications related to selective precision
title_sort Optimum plot size and number of replications related to selective precision
author Storck,Lindolfo
author_facet Storck,Lindolfo
Lopes,Sidinei José
Lúcio,Alessandro Dal'Col
Cargnelutti Filho,Alberto
author_role author
author2 Lopes,Sidinei José
Lúcio,Alessandro Dal'Col
Cargnelutti Filho,Alberto
author2_role author
author
author
dc.contributor.author.fl_str_mv Storck,Lindolfo
Lopes,Sidinei José
Lúcio,Alessandro Dal'Col
Cargnelutti Filho,Alberto
dc.subject.por.fl_str_mv measurements of precision
experimental planning
plot size
topic measurements of precision
experimental planning
plot size
description Planning agricultural trials and evaluating their precision is important in determining the credibility of the results obtained from the research. There are various methods for estimating optimum plot size and various statistics used to measure precision. Selective precision has been cited recently as being an adequate measurement for evaluating experimental precision. The aim of this study is to propose a modification in the way the optimum plot size is estimated, related to the variability of the experimental area and prefixed selective precision. The method was applied to a set of six trials with potatoes. The optimum plot size, which was estimated on the basis of the relation between the variation coefficients and different plot sizes, can be estimated by considering simultaneously and in a prefixed way, the number of replications and the selective precision related to the treatments that are being evaluated. The optimum plot size for potato varies between four and thirteen hills, depending on the number of repetitions and the selective precision that will be used.
publishDate 2011
dc.date.none.fl_str_mv 2011-03-01
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=S0103-84782011000300005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782011000300005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-84782011000300005
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.41 n.3 2011
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1749140538252066816