Metodologia para análise da dependência térmica da germinação pelo modelo de grausdia
Autor(a) principal: | |
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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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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 |