Optimum plot size and number of replications related to selective precision
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , |
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. |
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Ciência rural (Online) |
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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 |