Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015

Detalhes bibliográficos
Autor(a) principal: Matsuo, Éder
Data de Publicação: 2011
Outros Autores: Sediyama, Tuneo, Cruz, Cosme Damião, Oliveira, Rita de Cássia Teixeira, Cadore, Luiz Renato
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/14015
Resumo: The objective of this study was to estimate the genetic parameters and optimal sample size for the lengths of the hypocotyl and epicotyls and to analyze the conversion of quantitative data in multiple categories for soybean genotypes. A total of 85 soybean genotypes were analyzed in four experiments in a completely randomized design under greenhouse conditions at the Federal University of Viçosa, Brazil. The magnitude of the genetic parameter estimates characterized the influence of the genetic components in the phenotypic expression of the length of the hypocotyls and epicotyls of different soybean genotypes. The optimal size of the sample varied between the genotypes and the conversion of the quantitative data in multiple categories provided estimates of correlation coefficients greater than 0.80 and coincidence greater than 81% between the converted data and the original data.
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spelling Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015Glycine maxsoybean improvementhypocotyl lengthepicotyl lengthMelhoramento VegetalThe objective of this study was to estimate the genetic parameters and optimal sample size for the lengths of the hypocotyl and epicotyls and to analyze the conversion of quantitative data in multiple categories for soybean genotypes. A total of 85 soybean genotypes were analyzed in four experiments in a completely randomized design under greenhouse conditions at the Federal University of Viçosa, Brazil. The magnitude of the genetic parameter estimates characterized the influence of the genetic components in the phenotypic expression of the length of the hypocotyls and epicotyls of different soybean genotypes. The optimal size of the sample varied between the genotypes and the conversion of the quantitative data in multiple categories provided estimates of correlation coefficients greater than 0.80 and coincidence greater than 81% between the converted data and the original data.Universidade Estadual de Maringá2011-12-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/1401510.4025/actasciagron.v34i3.14015Acta Scientiarum. Agronomy; Vol 34 No 3 (2012); 265-273Acta Scientiarum. Agronomy; v. 34 n. 3 (2012); 265-2731807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/14015/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/14015/pdf_1Matsuo, ÉderSediyama, TuneoCruz, Cosme DamiãoOliveira, Rita de Cássia TeixeiraCadore, Luiz Renatoinfo:eu-repo/semantics/openAccess2022-11-23T18:38:31Zoai:periodicos.uem.br/ojs:article/14015Revistahttp://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:2022-11-23T18:38:31Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015
title Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015
spellingShingle Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015
Matsuo, Éder
Glycine max
soybean improvement
hypocotyl length
epicotyl length
Melhoramento Vegetal
title_short Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015
title_full Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015
title_fullStr Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015
title_full_unstemmed Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015
title_sort Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes - doi: 10.4025/actasciagron.v34i3.14015
author Matsuo, Éder
author_facet Matsuo, Éder
Sediyama, Tuneo
Cruz, Cosme Damião
Oliveira, Rita de Cássia Teixeira
Cadore, Luiz Renato
author_role author
author2 Sediyama, Tuneo
Cruz, Cosme Damião
Oliveira, Rita de Cássia Teixeira
Cadore, Luiz Renato
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Matsuo, Éder
Sediyama, Tuneo
Cruz, Cosme Damião
Oliveira, Rita de Cássia Teixeira
Cadore, Luiz Renato
dc.subject.por.fl_str_mv Glycine max
soybean improvement
hypocotyl length
epicotyl length
Melhoramento Vegetal
topic Glycine max
soybean improvement
hypocotyl length
epicotyl length
Melhoramento Vegetal
description The objective of this study was to estimate the genetic parameters and optimal sample size for the lengths of the hypocotyl and epicotyls and to analyze the conversion of quantitative data in multiple categories for soybean genotypes. A total of 85 soybean genotypes were analyzed in four experiments in a completely randomized design under greenhouse conditions at the Federal University of Viçosa, Brazil. The magnitude of the genetic parameter estimates characterized the influence of the genetic components in the phenotypic expression of the length of the hypocotyls and epicotyls of different soybean genotypes. The optimal size of the sample varied between the genotypes and the conversion of the quantitative data in multiple categories provided estimates of correlation coefficients greater than 0.80 and coincidence greater than 81% between the converted data and the original data.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-19
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/14015
10.4025/actasciagron.v34i3.14015
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/14015
identifier_str_mv 10.4025/actasciagron.v34i3.14015
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/14015/pdf
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/14015/pdf_1
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 34 No 3 (2012); 265-273
Acta Scientiarum. Agronomy; v. 34 n. 3 (2012); 265-273
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
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