Probit regression to estimate the physiological potential of hybrid maize seed
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Seed Science |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372015000100033 |
Resumo: | This work was carried out to study the physiological potential of artificially aged seed lots of maize. The specific aim of this study was to fit a simplified equation from Andreoli, , and present a methodology using probit regression analysis, given by the equation . We used seeds from three lots of the maize hybrid OC 705 which were submitted to the accelerated aging test, at the temperature of 43 ºC, every 24 hours. The simplified equation did not provide a good fit to the data, with r2 of at most 92%. Pearson's Chi-square test and the log-likelihood ratio Chi-square test indicated that probit regression had a good fit to the data, providing estimated values with high accuracy. It was observed that lot three maintained the highest vigor throughout the storage period. |
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Probit regression to estimate the physiological potential of hybrid maize seedZea maysvigorprobit regressionaccelerated agingThis work was carried out to study the physiological potential of artificially aged seed lots of maize. The specific aim of this study was to fit a simplified equation from Andreoli, , and present a methodology using probit regression analysis, given by the equation . We used seeds from three lots of the maize hybrid OC 705 which were submitted to the accelerated aging test, at the temperature of 43 ºC, every 24 hours. The simplified equation did not provide a good fit to the data, with r2 of at most 92%. Pearson's Chi-square test and the log-likelihood ratio Chi-square test indicated that probit regression had a good fit to the data, providing estimated values with high accuracy. It was observed that lot three maintained the highest vigor throughout the storage period.ABRATES - Associação Brasileira de Tecnologia de Sementes2015-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372015000100033Journal of Seed Science v.37 n.1 2015reponame:Journal of Seed Scienceinstname:Associação Brasileira de Tecnologia de Sementes (ABRATES)instacron:ABRATES10.1590/2317-1545v37n1140984info:eu-repo/semantics/openAccessGazola,SebastiãoScapim,Carlos AlbertoBraccini,Alessandro de Lucca eAraujo,Ângela Maria Marcone deJúnior,Antonio Teixeira do AmaralVivas,Marceloeng2015-04-14T00:00:00Zoai:scielo:S2317-15372015000100033Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=2317-1537&lng=en&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||abrates@abrates.org.br2317-15452317-1537opendoar:2015-04-14T00:00Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES)false |
dc.title.none.fl_str_mv |
Probit regression to estimate the physiological potential of hybrid maize seed |
title |
Probit regression to estimate the physiological potential of hybrid maize seed |
spellingShingle |
Probit regression to estimate the physiological potential of hybrid maize seed Gazola,Sebastião Zea mays vigor probit regression accelerated aging |
title_short |
Probit regression to estimate the physiological potential of hybrid maize seed |
title_full |
Probit regression to estimate the physiological potential of hybrid maize seed |
title_fullStr |
Probit regression to estimate the physiological potential of hybrid maize seed |
title_full_unstemmed |
Probit regression to estimate the physiological potential of hybrid maize seed |
title_sort |
Probit regression to estimate the physiological potential of hybrid maize seed |
author |
Gazola,Sebastião |
author_facet |
Gazola,Sebastião Scapim,Carlos Alberto Braccini,Alessandro de Lucca e Araujo,Ângela Maria Marcone de Júnior,Antonio Teixeira do Amaral Vivas,Marcelo |
author_role |
author |
author2 |
Scapim,Carlos Alberto Braccini,Alessandro de Lucca e Araujo,Ângela Maria Marcone de Júnior,Antonio Teixeira do Amaral Vivas,Marcelo |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Gazola,Sebastião Scapim,Carlos Alberto Braccini,Alessandro de Lucca e Araujo,Ângela Maria Marcone de Júnior,Antonio Teixeira do Amaral Vivas,Marcelo |
dc.subject.por.fl_str_mv |
Zea mays vigor probit regression accelerated aging |
topic |
Zea mays vigor probit regression accelerated aging |
description |
This work was carried out to study the physiological potential of artificially aged seed lots of maize. The specific aim of this study was to fit a simplified equation from Andreoli, , and present a methodology using probit regression analysis, given by the equation . We used seeds from three lots of the maize hybrid OC 705 which were submitted to the accelerated aging test, at the temperature of 43 ºC, every 24 hours. The simplified equation did not provide a good fit to the data, with r2 of at most 92%. Pearson's Chi-square test and the log-likelihood ratio Chi-square test indicated that probit regression had a good fit to the data, providing estimated values with high accuracy. It was observed that lot three maintained the highest vigor throughout the storage period. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-03-01 |
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=S2317-15372015000100033 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372015000100033 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2317-1545v37n1140984 |
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 |
ABRATES - Associação Brasileira de Tecnologia de Sementes |
publisher.none.fl_str_mv |
ABRATES - Associação Brasileira de Tecnologia de Sementes |
dc.source.none.fl_str_mv |
Journal of Seed Science v.37 n.1 2015 reponame:Journal of Seed Science instname:Associação Brasileira de Tecnologia de Sementes (ABRATES) instacron:ABRATES |
instname_str |
Associação Brasileira de Tecnologia de Sementes (ABRATES) |
instacron_str |
ABRATES |
institution |
ABRATES |
reponame_str |
Journal of Seed Science |
collection |
Journal of Seed Science |
repository.name.fl_str_mv |
Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES) |
repository.mail.fl_str_mv |
||abrates@abrates.org.br |
_version_ |
1754212982029549568 |