Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911 |
Resumo: | The coefficient of variation (CV) has been the most important statistic to determine the precision of experimental errors, but an even classification for guiding popcorn breeders is still lacking for popping expansion. The normality of data from 50 CVs was tested through the Shapiro-Wilk test, and the mean (m), median, standard deviation (SD), maximum and minimum values, asymmetry and kurtosis were all determined using the momentum method. The CVs were ranked as low [CV ≤ (m - 1 SD)], moderate [(m - 1 SD) < CV ≤ (m + 1 SD)], high [(m + 1 SD) < CV ≤ (m + 2 SD)] and very high [CV > (m + 2 SD)]. In summary, these data were close to the normality because the slight and flattened curve was skewed to the right. The CV’s mean was 11.08, the median was 11.94 and the standard deviation was 5.13%. Accordingly, values of CV ≤ 5.95% are low, 5.95 < CV ≤ 15.21% are moderate, 15.21 < CV ≤ 20.34% are high, and CV > 20.34% are very high. |
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Acta Scientiarum. Agronomy (Online) |
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Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911Zea maysdispersion measurementgenetic improvementprecisionaccuracyZea maysdispersion measurementgenetic improvementprecisionaccuracyThe coefficient of variation (CV) has been the most important statistic to determine the precision of experimental errors, but an even classification for guiding popcorn breeders is still lacking for popping expansion. The normality of data from 50 CVs was tested through the Shapiro-Wilk test, and the mean (m), median, standard deviation (SD), maximum and minimum values, asymmetry and kurtosis were all determined using the momentum method. The CVs were ranked as low [CV ≤ (m - 1 SD)], moderate [(m - 1 SD) < CV ≤ (m + 1 SD)], high [(m + 1 SD) < CV ≤ (m + 2 SD)] and very high [CV > (m + 2 SD)]. In summary, these data were close to the normality because the slight and flattened curve was skewed to the right. The CV’s mean was 11.08, the median was 11.94 and the standard deviation was 5.13%. Accordingly, values of CV ≤ 5.95% are low, 5.95 < CV ≤ 15.21% are moderate, 15.21 < CV ≤ 20.34% are high, and CV > 20.34% are very high.The coefficient of variation (CV) has been the most important statistic to determine the precision of experimental errors, but an even classification for guiding popcorn breeders is still lacking for popping expansion. The normality of data from 50 CVs was tested through the Shapiro-Wilk test, and the mean (m), median, standard deviation (SD), maximum and minimum values, asymmetry and kurtosis were all determined using the momentum method. The CVs were ranked as low [CV ≤ (m - 1 SD)], moderate [(m - 1 SD) < CV ≤ (m + 1 SD)], high [(m + 1 SD) < CV ≤ (m + 2 SD)] and very high [CV > (m + 2 SD)]. In summary, these data were close to the normality because the slight and flattened curve was skewed to the right. The CV’s mean was 11.08, the median was 11.94 and the standard deviation was 5.13%. Accordingly, values of CV ≤ 5.95% are low, 5.95 < CV ≤ 15.21% are moderate, 15.21 < CV ≤ 20.34% are high, and CV > 20.34% are very high.Universidade Estadual de Maringá2011-04-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/1191110.4025/actasciagron.v33i3.11911Acta Scientiarum. Agronomy; Vol 33 No 3 (2011); 527-531Acta Scientiarum. Agronomy; v. 33 n. 3 (2011); 527-5311807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911/11911http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911/11911aArnhold, EmmanuelMilani, Klayton Flávioinfo:eu-repo/semantics/openAccess2022-11-23T18:38:27Zoai:periodicos.uem.br/ojs:article/11911Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:38:27Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911 Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911 |
title |
Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911 |
spellingShingle |
Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911 Arnhold, Emmanuel Zea mays dispersion measurement genetic improvement precision accuracy Zea mays dispersion measurement genetic improvement precision accuracy |
title_short |
Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911 |
title_full |
Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911 |
title_fullStr |
Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911 |
title_full_unstemmed |
Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911 |
title_sort |
Rank-ordering coefficients of variation for popping expansion - doi: 10.4025/actasciagron.v33i3.11911 |
author |
Arnhold, Emmanuel |
author_facet |
Arnhold, Emmanuel Milani, Klayton Flávio |
author_role |
author |
author2 |
Milani, Klayton Flávio |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Arnhold, Emmanuel Milani, Klayton Flávio |
dc.subject.por.fl_str_mv |
Zea mays dispersion measurement genetic improvement precision accuracy Zea mays dispersion measurement genetic improvement precision accuracy |
topic |
Zea mays dispersion measurement genetic improvement precision accuracy Zea mays dispersion measurement genetic improvement precision accuracy |
description |
The coefficient of variation (CV) has been the most important statistic to determine the precision of experimental errors, but an even classification for guiding popcorn breeders is still lacking for popping expansion. The normality of data from 50 CVs was tested through the Shapiro-Wilk test, and the mean (m), median, standard deviation (SD), maximum and minimum values, asymmetry and kurtosis were all determined using the momentum method. The CVs were ranked as low [CV ≤ (m - 1 SD)], moderate [(m - 1 SD) < CV ≤ (m + 1 SD)], high [(m + 1 SD) < CV ≤ (m + 2 SD)] and very high [CV > (m + 2 SD)]. In summary, these data were close to the normality because the slight and flattened curve was skewed to the right. The CV’s mean was 11.08, the median was 11.94 and the standard deviation was 5.13%. Accordingly, values of CV ≤ 5.95% are low, 5.95 < CV ≤ 15.21% are moderate, 15.21 < CV ≤ 20.34% are high, and CV > 20.34% are very high. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-04-11 |
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 |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911 10.4025/actasciagron.v33i3.11911 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911 |
identifier_str_mv |
10.4025/actasciagron.v33i3.11911 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911/11911 http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/11911/11911a |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 33 No 3 (2011); 527-531 Acta Scientiarum. Agronomy; v. 33 n. 3 (2011); 527-531 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305908193329152 |