Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storage

Autores
Ochandio, Dario Carlos; Bartosik, Ricardo Enrique; Gastón, Analía Graciela Lucia; Arias Barreto, Alien; Yommi, Alejandra Karina; Abalone, Rita Mónica
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The dynamic of oxygen (O2) and carbon dioxide (CO2) concentration was characterized in soybean (Glycine max (L.)) samples hermetically stored in glass jars at 15, 25 and 35 °C and 13, 15 and 17% moisture content (m.c., wet base). Two correlations were used for smoothing gas concentration in time: linear and exponential. Then, the respiration rate at each temperature and m.c. combination was calculated as storage time progressed and oxygen was consumed and two predictive models for respiration were proposed: Model I (temperature and m.c. dependent) and Model II (temperature, m.c. and oxygen dependent). It was observed that respiration rate increased with storage m.c. and temperature. However, respiration rate was not mainly affected by O2 until a critical concentration limit of about 2% was reached. Respiration rates were from 0.341 to 22.684 mg O2/(kgDM d) and from 0.130 to 20.272 mg CO2/(kgDM d) for a range of storage condition of 13–17% m.c. and 15–35 °C temperature. The respiration rate of soybean seeds obtained in this study resulted significantly lower than the rates reported in the literature for other grains at similar temperature and aw (water activity) storage condition. For hermetic storage simulations in which O2 concentration is not expected to drop below 2%, the simplest model (Model I) could be used, but if the O2 concentration of the hermetic system is expected to be depleted, Model I would under estimate the time at which O2 is consumed, and thus a model with O2 dependency is recommended instead (Model II).
EEA Balcarce
Fil: Ochandio, Dario Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Bartosik, Ricardo Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gastón, Analía Graciela Lucía. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo de Investigaciones; Argentina
Fil: Abalone, Rita Mónica. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo de Investigaciones; Argentina
Fil: Arias Barreto, Alien. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina
Fil: Yommi, Alejandra Karina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fuente
Journal of stored products research 74 : 36-45. (December 2017)
Materia
Soja
Almacenamiento
Semilla
Soybeans
Storage
Seeds
Almacenamiento Hermético
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/2031
Acceder
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oai_identifier_str oai:localhost:20.500.12123/2031
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storageOchandio, Dario CarlosBartosik, Ricardo EnriqueGastón, Analía Graciela LuciaArias Barreto, AlienYommi, Alejandra KarinaAbalone, Rita MónicaSojaAlmacenamientoSemillaSoybeansStorageSeedsAlmacenamiento HerméticoThe dynamic of oxygen (O2) and carbon dioxide (CO2) concentration was characterized in soybean (Glycine max (L.)) samples hermetically stored in glass jars at 15, 25 and 35 °C and 13, 15 and 17% moisture content (m.c., wet base). Two correlations were used for smoothing gas concentration in time: linear and exponential. Then, the respiration rate at each temperature and m.c. combination was calculated as storage time progressed and oxygen was consumed and two predictive models for respiration were proposed: Model I (temperature and m.c. dependent) and Model II (temperature, m.c. and oxygen dependent). It was observed that respiration rate increased with storage m.c. and temperature. However, respiration rate was not mainly affected by O2 until a critical concentration limit of about 2% was reached. Respiration rates were from 0.341 to 22.684 mg O2/(kgDM d) and from 0.130 to 20.272 mg CO2/(kgDM d) for a range of storage condition of 13–17% m.c. and 15–35 °C temperature. The respiration rate of soybean seeds obtained in this study resulted significantly lower than the rates reported in the literature for other grains at similar temperature and aw (water activity) storage condition. For hermetic storage simulations in which O2 concentration is not expected to drop below 2%, the simplest model (Model I) could be used, but if the O2 concentration of the hermetic system is expected to be depleted, Model I would under estimate the time at which O2 is consumed, and thus a model with O2 dependency is recommended instead (Model II).EEA BalcarceFil: Ochandio, Dario Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Bartosik, Ricardo Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gastón, Analía Graciela Lucía. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo de Investigaciones; ArgentinaFil: Abalone, Rita Mónica. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo de Investigaciones; ArgentinaFil: Arias Barreto, Alien. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; ArgentinaFil: Yommi, Alejandra Karina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina2018-03-15T14:17:53Z2018-03-15T14:17:53Z2017-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S0022474X17300784#!http://hdl.handle.net/20.500.12123/20310022-474Xhttps://doi.org/10.1016/j.jspr.2017.09.001Journal of stored products research 74 : 36-45. (December 2017)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:16Zoai:localhost:20.500.12123/2031instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:16.52INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storage
title Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storage
spellingShingle Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storage
Ochandio, Dario Carlos
Soja
Almacenamiento
Semilla
Soybeans
Storage
Seeds
Almacenamiento Hermético
title_short Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storage
title_full Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storage
title_fullStr Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storage
title_full_unstemmed Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storage
title_sort Modelling respiration rate of soybean seeds (Glycine max (L.)) in hermetic storage
dc.creator.none.fl_str_mv Ochandio, Dario Carlos
Bartosik, Ricardo Enrique
Gastón, Analía Graciela Lucia
Arias Barreto, Alien
Yommi, Alejandra Karina
Abalone, Rita Mónica
author Ochandio, Dario Carlos
author_facet Ochandio, Dario Carlos
Bartosik, Ricardo Enrique
Gastón, Analía Graciela Lucia
Arias Barreto, Alien
Yommi, Alejandra Karina
Abalone, Rita Mónica
author_role author
author2 Bartosik, Ricardo Enrique
Gastón, Analía Graciela Lucia
Arias Barreto, Alien
Yommi, Alejandra Karina
Abalone, Rita Mónica
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Soja
Almacenamiento
Semilla
Soybeans
Storage
Seeds
Almacenamiento Hermético
topic Soja
Almacenamiento
Semilla
Soybeans
Storage
Seeds
Almacenamiento Hermético
dc.description.none.fl_txt_mv The dynamic of oxygen (O2) and carbon dioxide (CO2) concentration was characterized in soybean (Glycine max (L.)) samples hermetically stored in glass jars at 15, 25 and 35 °C and 13, 15 and 17% moisture content (m.c., wet base). Two correlations were used for smoothing gas concentration in time: linear and exponential. Then, the respiration rate at each temperature and m.c. combination was calculated as storage time progressed and oxygen was consumed and two predictive models for respiration were proposed: Model I (temperature and m.c. dependent) and Model II (temperature, m.c. and oxygen dependent). It was observed that respiration rate increased with storage m.c. and temperature. However, respiration rate was not mainly affected by O2 until a critical concentration limit of about 2% was reached. Respiration rates were from 0.341 to 22.684 mg O2/(kgDM d) and from 0.130 to 20.272 mg CO2/(kgDM d) for a range of storage condition of 13–17% m.c. and 15–35 °C temperature. The respiration rate of soybean seeds obtained in this study resulted significantly lower than the rates reported in the literature for other grains at similar temperature and aw (water activity) storage condition. For hermetic storage simulations in which O2 concentration is not expected to drop below 2%, the simplest model (Model I) could be used, but if the O2 concentration of the hermetic system is expected to be depleted, Model I would under estimate the time at which O2 is consumed, and thus a model with O2 dependency is recommended instead (Model II).
EEA Balcarce
Fil: Ochandio, Dario Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Bartosik, Ricardo Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gastón, Analía Graciela Lucía. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo de Investigaciones; Argentina
Fil: Abalone, Rita Mónica. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo de Investigaciones; Argentina
Fil: Arias Barreto, Alien. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina
Fil: Yommi, Alejandra Karina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
description The dynamic of oxygen (O2) and carbon dioxide (CO2) concentration was characterized in soybean (Glycine max (L.)) samples hermetically stored in glass jars at 15, 25 and 35 °C and 13, 15 and 17% moisture content (m.c., wet base). Two correlations were used for smoothing gas concentration in time: linear and exponential. Then, the respiration rate at each temperature and m.c. combination was calculated as storage time progressed and oxygen was consumed and two predictive models for respiration were proposed: Model I (temperature and m.c. dependent) and Model II (temperature, m.c. and oxygen dependent). It was observed that respiration rate increased with storage m.c. and temperature. However, respiration rate was not mainly affected by O2 until a critical concentration limit of about 2% was reached. Respiration rates were from 0.341 to 22.684 mg O2/(kgDM d) and from 0.130 to 20.272 mg CO2/(kgDM d) for a range of storage condition of 13–17% m.c. and 15–35 °C temperature. The respiration rate of soybean seeds obtained in this study resulted significantly lower than the rates reported in the literature for other grains at similar temperature and aw (water activity) storage condition. For hermetic storage simulations in which O2 concentration is not expected to drop below 2%, the simplest model (Model I) could be used, but if the O2 concentration of the hermetic system is expected to be depleted, Model I would under estimate the time at which O2 is consumed, and thus a model with O2 dependency is recommended instead (Model II).
publishDate 2017
dc.date.none.fl_str_mv 2017-12
2018-03-15T14:17:53Z
2018-03-15T14:17:53Z
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 https://www.sciencedirect.com/science/article/pii/S0022474X17300784#!
http://hdl.handle.net/20.500.12123/2031
0022-474X
https://doi.org/10.1016/j.jspr.2017.09.001
url https://www.sciencedirect.com/science/article/pii/S0022474X17300784#!
http://hdl.handle.net/20.500.12123/2031
https://doi.org/10.1016/j.jspr.2017.09.001
identifier_str_mv 0022-474X
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Journal of stored products research 74 : 36-45. (December 2017)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.559606

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