An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters

Autores
Chantre Balacca, Guillermo Ruben; Sabbatini, Mario Ricardo; Orioli, Gustavo Adolfo
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Lithospermum arvense seeds show primary physiological dormancy. Changes in population hydrotime parameters during after-ripening were used to model primary dormancy loss. Lithospermum arvense seeds were dry-stored at constant temperatures of 5, 15, 24 and 30°C for 180 days. After different storage periods, seeds were incubated at 10°C at a range of water potentials (0 to −1.2 MPa). Experimentally obtained cumulative–germination curves were analysed by repeated probit regressions to obtain seed population hydrotime parameters. The population mean base water potential (Ψb(50)) showed a progressive decrease as after-ripening time progressed and the dormancy release rate was positively related to storage temperature. The hydrotime constant (θH) and the SD of the base water potential (σΨb) were unaffected by after-ripening time or storage temperature. To account for the effect of after-ripening time and temperature on dormancy release, an after-ripening thermal-time model was developed. The model consisted of the description of Ψb(50) changes as a function of an after-ripening thermal-time index (θAT). An exponential decay function accurately described (R2 = 0.92) the decrease pattern of Ψb(50) as function of θAT. Model evaluation under fluctuating soil water regimes showed a good correlation between observed and predicted data (r = 0.94 and 0.96). This indicated that the after-ripening process could be adequately described as a thermal-time response, further suggesting the potential applicability of the model to predict L. arvense emergence in the field.
Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de Agronomia. Laboratorio de Fisiología y Ecología Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Sabbatini, Mario Ricardo. Universidad Nacional del Sur. Departamento de Agronomia. Laboratorio de Fisiología y Ecología Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Orioli, Gustavo Adolfo. Universidad Nacional del Sur. Departamento de Agronomia. Laboratorio de Fisiología y Ecología Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Materia
MODELLING
SEED DORMANCY
GERMINATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/247457
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/247457
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parametersChantre Balacca, Guillermo RubenSabbatini, Mario RicardoOrioli, Gustavo AdolfoMODELLINGSEED DORMANCYGERMINATIONhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Lithospermum arvense seeds show primary physiological dormancy. Changes in population hydrotime parameters during after-ripening were used to model primary dormancy loss. Lithospermum arvense seeds were dry-stored at constant temperatures of 5, 15, 24 and 30°C for 180 days. After different storage periods, seeds were incubated at 10°C at a range of water potentials (0 to −1.2 MPa). Experimentally obtained cumulative–germination curves were analysed by repeated probit regressions to obtain seed population hydrotime parameters. The population mean base water potential (Ψb(50)) showed a progressive decrease as after-ripening time progressed and the dormancy release rate was positively related to storage temperature. The hydrotime constant (θH) and the SD of the base water potential (σΨb) were unaffected by after-ripening time or storage temperature. To account for the effect of after-ripening time and temperature on dormancy release, an after-ripening thermal-time model was developed. The model consisted of the description of Ψb(50) changes as a function of an after-ripening thermal-time index (θAT). An exponential decay function accurately described (R2 = 0.92) the decrease pattern of Ψb(50) as function of θAT. Model evaluation under fluctuating soil water regimes showed a good correlation between observed and predicted data (r = 0.94 and 0.96). This indicated that the after-ripening process could be adequately described as a thermal-time response, further suggesting the potential applicability of the model to predict L. arvense emergence in the field.Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de Agronomia. Laboratorio de Fisiología y Ecología Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Sabbatini, Mario Ricardo. Universidad Nacional del Sur. Departamento de Agronomia. Laboratorio de Fisiología y Ecología Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Orioli, Gustavo Adolfo. Universidad Nacional del Sur. Departamento de Agronomia. Laboratorio de Fisiología y Ecología Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaWiley Blackwell Publishing, Inc2010-05-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/247457Chantre Balacca, Guillermo Ruben; Sabbatini, Mario Ricardo; Orioli, Gustavo Adolfo; An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters; Wiley Blackwell Publishing, Inc; Weed Research; 50; 3; 7-5-2010; 218-2270043-1737CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1365-3180.2010.00770.xinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/j.1365-3180.2010.00770.xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:24:15Zoai:ri.conicet.gov.ar:11336/247457instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:24:15.314CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters
title An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters
spellingShingle An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters
Chantre Balacca, Guillermo Ruben
MODELLING
SEED DORMANCY
GERMINATION
title_short An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters
title_full An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters
title_fullStr An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters
title_full_unstemmed An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters
title_sort An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters
dc.creator.none.fl_str_mv Chantre Balacca, Guillermo Ruben
Sabbatini, Mario Ricardo
Orioli, Gustavo Adolfo
author Chantre Balacca, Guillermo Ruben
author_facet Chantre Balacca, Guillermo Ruben
Sabbatini, Mario Ricardo
Orioli, Gustavo Adolfo
author_role author
author2 Sabbatini, Mario Ricardo
Orioli, Gustavo Adolfo
author2_role author
author
dc.subject.none.fl_str_mv MODELLING
SEED DORMANCY
GERMINATION
topic MODELLING
SEED DORMANCY
GERMINATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Lithospermum arvense seeds show primary physiological dormancy. Changes in population hydrotime parameters during after-ripening were used to model primary dormancy loss. Lithospermum arvense seeds were dry-stored at constant temperatures of 5, 15, 24 and 30°C for 180 days. After different storage periods, seeds were incubated at 10°C at a range of water potentials (0 to −1.2 MPa). Experimentally obtained cumulative–germination curves were analysed by repeated probit regressions to obtain seed population hydrotime parameters. The population mean base water potential (Ψb(50)) showed a progressive decrease as after-ripening time progressed and the dormancy release rate was positively related to storage temperature. The hydrotime constant (θH) and the SD of the base water potential (σΨb) were unaffected by after-ripening time or storage temperature. To account for the effect of after-ripening time and temperature on dormancy release, an after-ripening thermal-time model was developed. The model consisted of the description of Ψb(50) changes as a function of an after-ripening thermal-time index (θAT). An exponential decay function accurately described (R2 = 0.92) the decrease pattern of Ψb(50) as function of θAT. Model evaluation under fluctuating soil water regimes showed a good correlation between observed and predicted data (r = 0.94 and 0.96). This indicated that the after-ripening process could be adequately described as a thermal-time response, further suggesting the potential applicability of the model to predict L. arvense emergence in the field.
Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de Agronomia. Laboratorio de Fisiología y Ecología Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Sabbatini, Mario Ricardo. Universidad Nacional del Sur. Departamento de Agronomia. Laboratorio de Fisiología y Ecología Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Orioli, Gustavo Adolfo. Universidad Nacional del Sur. Departamento de Agronomia. Laboratorio de Fisiología y Ecología Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
description Lithospermum arvense seeds show primary physiological dormancy. Changes in population hydrotime parameters during after-ripening were used to model primary dormancy loss. Lithospermum arvense seeds were dry-stored at constant temperatures of 5, 15, 24 and 30°C for 180 days. After different storage periods, seeds were incubated at 10°C at a range of water potentials (0 to −1.2 MPa). Experimentally obtained cumulative–germination curves were analysed by repeated probit regressions to obtain seed population hydrotime parameters. The population mean base water potential (Ψb(50)) showed a progressive decrease as after-ripening time progressed and the dormancy release rate was positively related to storage temperature. The hydrotime constant (θH) and the SD of the base water potential (σΨb) were unaffected by after-ripening time or storage temperature. To account for the effect of after-ripening time and temperature on dormancy release, an after-ripening thermal-time model was developed. The model consisted of the description of Ψb(50) changes as a function of an after-ripening thermal-time index (θAT). An exponential decay function accurately described (R2 = 0.92) the decrease pattern of Ψb(50) as function of θAT. Model evaluation under fluctuating soil water regimes showed a good correlation between observed and predicted data (r = 0.94 and 0.96). This indicated that the after-ripening process could be adequately described as a thermal-time response, further suggesting the potential applicability of the model to predict L. arvense emergence in the field.
publishDate 2010
dc.date.none.fl_str_mv 2010-05-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/247457
Chantre Balacca, Guillermo Ruben; Sabbatini, Mario Ricardo; Orioli, Gustavo Adolfo; An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters; Wiley Blackwell Publishing, Inc; Weed Research; 50; 3; 7-5-2010; 218-227
0043-1737
CONICET Digital
CONICET
url http://hdl.handle.net/11336/247457
identifier_str_mv Chantre Balacca, Guillermo Ruben; Sabbatini, Mario Ricardo; Orioli, Gustavo Adolfo; An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters; Wiley Blackwell Publishing, Inc; Weed Research; 50; 3; 7-5-2010; 218-227
0043-1737
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1365-3180.2010.00770.x
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/j.1365-3180.2010.00770.x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.48226

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