A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bragantia |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052016000300263 |
Resumo: | ABSTRACT The objective of this study was to present a classification proposal for coefficients of variation (CV) in Eucalyptus experiments, aiming at providing a useful tool for experiments involving growth, survival and wood quality traits. Ninety-four studies were selected from a search for peer-reviewed journals yielding a total of 508 data. The CVs were classified as low, moderate, high and very high. The mean, standard deviation, maximum and minimum values, skewness and kurtosis were estimated to describe the distribution shape. The Shapiro-Wilk test confirmed that all variables satisfied the assumption of normality (p < 0.05). The results indicated that the growth traits had the highest variability, being variables strongly affected by the environment. In contrast, all variables related to wood quality (except extractives) had the lowest range of CVs. In summary, the classification proposed in this report provides a useful tool for researchers interested in estimating the accuracy of their experiments. |
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A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variablesEucalyptus spp.experimental accuracyexperimental errorrank-orderingABSTRACT The objective of this study was to present a classification proposal for coefficients of variation (CV) in Eucalyptus experiments, aiming at providing a useful tool for experiments involving growth, survival and wood quality traits. Ninety-four studies were selected from a search for peer-reviewed journals yielding a total of 508 data. The CVs were classified as low, moderate, high and very high. The mean, standard deviation, maximum and minimum values, skewness and kurtosis were estimated to describe the distribution shape. The Shapiro-Wilk test confirmed that all variables satisfied the assumption of normality (p < 0.05). The results indicated that the growth traits had the highest variability, being variables strongly affected by the environment. In contrast, all variables related to wood quality (except extractives) had the lowest range of CVs. In summary, the classification proposed in this report provides a useful tool for researchers interested in estimating the accuracy of their experiments.Instituto Agronômico de Campinas2016-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052016000300263Bragantia v.75 n.3 2016reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.458info:eu-repo/semantics/openAccessMora,FreddyArriagada,Osvineng2016-08-09T00:00:00Zoai:scielo:S0006-87052016000300263Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2016-08-09T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false |
dc.title.none.fl_str_mv |
A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables |
title |
A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables |
spellingShingle |
A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables Mora,Freddy Eucalyptus spp. experimental accuracy experimental error rank-ordering |
title_short |
A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables |
title_full |
A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables |
title_fullStr |
A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables |
title_full_unstemmed |
A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables |
title_sort |
A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables |
author |
Mora,Freddy |
author_facet |
Mora,Freddy Arriagada,Osvin |
author_role |
author |
author2 |
Arriagada,Osvin |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Mora,Freddy Arriagada,Osvin |
dc.subject.por.fl_str_mv |
Eucalyptus spp. experimental accuracy experimental error rank-ordering |
topic |
Eucalyptus spp. experimental accuracy experimental error rank-ordering |
description |
ABSTRACT The objective of this study was to present a classification proposal for coefficients of variation (CV) in Eucalyptus experiments, aiming at providing a useful tool for experiments involving growth, survival and wood quality traits. Ninety-four studies were selected from a search for peer-reviewed journals yielding a total of 508 data. The CVs were classified as low, moderate, high and very high. The mean, standard deviation, maximum and minimum values, skewness and kurtosis were estimated to describe the distribution shape. The Shapiro-Wilk test confirmed that all variables satisfied the assumption of normality (p < 0.05). The results indicated that the growth traits had the highest variability, being variables strongly affected by the environment. In contrast, all variables related to wood quality (except extractives) had the lowest range of CVs. In summary, the classification proposed in this report provides a useful tool for researchers interested in estimating the accuracy of their experiments. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-09-01 |
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=S0006-87052016000300263 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052016000300263 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4499.458 |
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.75 n.3 2016 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 |
_version_ |
1754193305111887872 |