Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia

Detalhes bibliográficos
Autor(a) principal: Cardoso, Victor José Mendes [UNESP]
Data de Publicação: 2011
Tipo de documento: Artigo
Idioma: eng
por
spa
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.4257/oeco.2011.1502.04
http://hdl.handle.net/11449/72558
Resumo: The effects of temperature on the rate of biological processes such as the germination are reported in several papers. The analysis of the thermal effect can be performed either from numerical indices or germination curves, which is usually presented as the accumulated percentage of germination versus time. Such curves can be fitted by empirical models and generally they offer a better description of the time-course of germination than single-value indices. On the other hand, in analyzing the germination curves, a question arises whether the model parameters have biological meaning. Thus, it is desirable that the model parameters both describe properly the germination curve and have biological meaning, which often does not occur. Considering the involvement of populations and percentages in germination assays, an analytical model has been widely used in the last two decades which is based on the concept of thermal time. This article discusses the conceptual basis and provides procedures for applying the thermal-time model in germination studies by using the probit regression method, both at infra and supra-optimal temperatures.
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spelling Metodologia para análise da dependência térmica da germinação pelo modelo de grausdiaMethodology for analysis of the thermal dependence of germination by thermal-time modelModelingReviewSeedsTemperatureThermal timeThe effects of temperature on the rate of biological processes such as the germination are reported in several papers. The analysis of the thermal effect can be performed either from numerical indices or germination curves, which is usually presented as the accumulated percentage of germination versus time. Such curves can be fitted by empirical models and generally they offer a better description of the time-course of germination than single-value indices. On the other hand, in analyzing the germination curves, a question arises whether the model parameters have biological meaning. Thus, it is desirable that the model parameters both describe properly the germination curve and have biological meaning, which often does not occur. Considering the involvement of populations and percentages in germination assays, an analytical model has been widely used in the last two decades which is based on the concept of thermal time. This article discusses the conceptual basis and provides procedures for applying the thermal-time model in germination studies by using the probit regression method, both at infra and supra-optimal temperatures.Unesp Instituto de Biociências Departamento de Botânica, Av. 24-A, 1515, Caixa Postal 199, Rio Claro, SP CEP: 13506-900Unesp Instituto de Biociências Departamento de Botânica, Av. 24-A, 1515, Caixa Postal 199, Rio Claro, SP CEP: 13506-900Universidade Estadual Paulista (Unesp)Cardoso, Victor José Mendes [UNESP]2014-05-27T11:25:56Z2014-05-27T11:25:56Z2011-07-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article236-248application/pdfhttp://dx.doi.org/10.4257/oeco.2011.1502.04Oecologia Australis, v. 15, n. 2, p. 236-248, 2011.2177-6199http://hdl.handle.net/11449/7255810.4257/oeco.2011.1502.042-s2.0-799598408002-s2.0-79959840800.pdf6960838311041673Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengporspaOecologia Australis0,239info:eu-repo/semantics/openAccess2023-11-07T06:10:17Zoai:repositorio.unesp.br:11449/72558Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:04:34.741017Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia
Methodology for analysis of the thermal dependence of germination by thermal-time model
title Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia
spellingShingle Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia
Cardoso, Victor José Mendes [UNESP]
Modeling
Review
Seeds
Temperature
Thermal time
title_short Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia
title_full Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia
title_fullStr Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia
title_full_unstemmed Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia
title_sort Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia
author Cardoso, Victor José Mendes [UNESP]
author_facet Cardoso, Victor José Mendes [UNESP]
author_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Cardoso, Victor José Mendes [UNESP]
dc.subject.por.fl_str_mv Modeling
Review
Seeds
Temperature
Thermal time
topic Modeling
Review
Seeds
Temperature
Thermal time
description The effects of temperature on the rate of biological processes such as the germination are reported in several papers. The analysis of the thermal effect can be performed either from numerical indices or germination curves, which is usually presented as the accumulated percentage of germination versus time. Such curves can be fitted by empirical models and generally they offer a better description of the time-course of germination than single-value indices. On the other hand, in analyzing the germination curves, a question arises whether the model parameters have biological meaning. Thus, it is desirable that the model parameters both describe properly the germination curve and have biological meaning, which often does not occur. Considering the involvement of populations and percentages in germination assays, an analytical model has been widely used in the last two decades which is based on the concept of thermal time. This article discusses the conceptual basis and provides procedures for applying the thermal-time model in germination studies by using the probit regression method, both at infra and supra-optimal temperatures.
publishDate 2011
dc.date.none.fl_str_mv 2011-07-06
2014-05-27T11:25:56Z
2014-05-27T11:25:56Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.4257/oeco.2011.1502.04
Oecologia Australis, v. 15, n. 2, p. 236-248, 2011.
2177-6199
http://hdl.handle.net/11449/72558
10.4257/oeco.2011.1502.04
2-s2.0-79959840800
2-s2.0-79959840800.pdf
6960838311041673
url http://dx.doi.org/10.4257/oeco.2011.1502.04
http://hdl.handle.net/11449/72558
identifier_str_mv Oecologia Australis, v. 15, n. 2, p. 236-248, 2011.
2177-6199
10.4257/oeco.2011.1502.04
2-s2.0-79959840800
2-s2.0-79959840800.pdf
6960838311041673
dc.language.iso.fl_str_mv eng
por
spa
language eng
por
spa
dc.relation.none.fl_str_mv Oecologia Australis
0,239
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 236-248
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128751303655424