Probit regression to estimate the physiological potential of hybrid maize seed

Detalhes bibliográficos
Autor(a) principal: Gazola,Sebastião
Data de Publicação: 2015
Outros Autores: Scapim,Carlos Alberto, Braccini,Alessandro de Lucca e, Araujo,Ângela Maria Marcone de, Júnior,Antonio Teixeira do Amaral, Vivas,Marcelo
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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spelling 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
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