Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage

Autores
Marcos Valle, Facundo; Gaston, Analia; Abalone, Rita Mónica; De La Torre, Diego; Castellari, Claudia Carla; Bartosik, Ricardo Enrique
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The dynamics of oxygen (O2) and carbon dioxide (CO2) concentrations were characterized in corn (Zea mays L.) seed hermetically stored in glass jars at 15, 25 and 35 °C and 14.3, 16.5 and 18.3% moisture content. Gas concentration curves were modeled with linear and exponential correlations and the respiration rate was calculated for each temperature and MC combination as storage time progressed and O2 was consumed. Three predictive respiration models were proposed: Model I, dependent on temperature and MC, and Model IIA, dependent on temperature and oxygen (fitted for each MC level), and Model IIB, dependent on temperature, MC and O2. All models were validated with two independent sets of experimental data. Respiration rate increased with MC and temperature, and it appeared that O2 concentration affected respiration only after a critical limit of about 1% was reached. The values of respiration rates obtained in this study were from 1.36 to 823.76 mg O2 d−1 and from 0.83 to 1265.62 mg CO2 d−1. Respiration rate substantially increased for aw conditions greater than 0.85, presumably due to the onset of the embryo's metabolic activity and the activation of the facultative microorganisms. Literature data was provided to support this observation. Based on this study, Models I and IIB could be indistinctly used in simulation models for predicting O2 and CO2 evolution of hermetically stored seed. However, model IIB provides the advantage of attenuation of the respiration rate as O2 is depleted.
EEA Balcarce
Fil: Marcos Valle, Facundo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.
Fil: Gastón, Analía. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina.
Fil: Abalone, Rita. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina.
Fil: Abalone, Rita. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: De la Torre, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.
Fil: Castellari, Claudia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.
Fil: Bartosik, Ricardo Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.
Fuente
Biosystems Engineering 208 : 45-57 (August 2021)
Materia
Maíz
Zea Mays
Almacenamiento Atmósfera Controlada
Oxígeno
Dióxido de Carbono
Respiración
Modelización
Actividad del Agua
Maize
Controlled Atmosphere Storage
Oxygen
Carbon Dioxide
Respiration
Modelling
Water Activity
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/9587
Acceder
id INTADig_26540cab0809675b83bd7d1b4ffc13db
oai_identifier_str oai:localhost:20.500.12123/9587
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storageMarcos Valle, FacundoGaston, AnaliaAbalone, Rita MónicaDe La Torre, DiegoCastellari, Claudia CarlaBartosik, Ricardo EnriqueMaízZea MaysAlmacenamiento Atmósfera ControladaOxígenoDióxido de CarbonoRespiraciónModelizaciónActividad del AguaMaizeControlled Atmosphere StorageOxygenCarbon DioxideRespirationModellingWater ActivityThe dynamics of oxygen (O2) and carbon dioxide (CO2) concentrations were characterized in corn (Zea mays L.) seed hermetically stored in glass jars at 15, 25 and 35 °C and 14.3, 16.5 and 18.3% moisture content. Gas concentration curves were modeled with linear and exponential correlations and the respiration rate was calculated for each temperature and MC combination as storage time progressed and O2 was consumed. Three predictive respiration models were proposed: Model I, dependent on temperature and MC, and Model IIA, dependent on temperature and oxygen (fitted for each MC level), and Model IIB, dependent on temperature, MC and O2. All models were validated with two independent sets of experimental data. Respiration rate increased with MC and temperature, and it appeared that O2 concentration affected respiration only after a critical limit of about 1% was reached. The values of respiration rates obtained in this study were from 1.36 to 823.76 mg O2 d−1 and from 0.83 to 1265.62 mg CO2 d−1. Respiration rate substantially increased for aw conditions greater than 0.85, presumably due to the onset of the embryo's metabolic activity and the activation of the facultative microorganisms. Literature data was provided to support this observation. Based on this study, Models I and IIB could be indistinctly used in simulation models for predicting O2 and CO2 evolution of hermetically stored seed. However, model IIB provides the advantage of attenuation of the respiration rate as O2 is depleted.EEA BalcarceFil: Marcos Valle, Facundo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.Fil: Gastón, Analía. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina.Fil: Abalone, Rita. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina.Fil: Abalone, Rita. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: De la Torre, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.Fil: Castellari, Claudia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.Fil: Bartosik, Ricardo Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.Elsevier2021-06-15T12:19:08Z2021-06-15T12:19:08Z2021-06-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/9587https://www.sciencedirect.com/science/article/abs/pii/S15375110210010941537-5110https://doi.org/10.1016/j.biosystemseng.2021.05.009Biosystems Engineering 208 : 45-57 (August 2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/PNCYO-1127023/AR./Contaminación con micotoxinas en grano de cereales y oleaginosas en pre y poscosecha: identificación de situaciones de riesgo, desarrollo de pronósticos con base meteorológica y de buenas prácticas de manejo, internalización territorial.info:eu-repograntAgreement/INTA/PNAIyAV-1130023/AR./Tecnologías de agricultura de precisión para mejorar la eficiencia de la producción agropecuaria.info:eu-repo/semantics/restrictedAccess2025-09-04T09:48:56Zoai:localhost:20.500.12123/9587instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:48:56.693INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage
title Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage
spellingShingle Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage
Marcos Valle, Facundo
Maíz
Zea Mays
Almacenamiento Atmósfera Controlada
Oxígeno
Dióxido de Carbono
Respiración
Modelización
Actividad del Agua
Maize
Controlled Atmosphere Storage
Oxygen
Carbon Dioxide
Respiration
Modelling
Water Activity
title_short Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage
title_full Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage
title_fullStr Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage
title_full_unstemmed Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage
title_sort Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage
dc.creator.none.fl_str_mv Marcos Valle, Facundo
Gaston, Analia
Abalone, Rita Mónica
De La Torre, Diego
Castellari, Claudia Carla
Bartosik, Ricardo Enrique
author Marcos Valle, Facundo
author_facet Marcos Valle, Facundo
Gaston, Analia
Abalone, Rita Mónica
De La Torre, Diego
Castellari, Claudia Carla
Bartosik, Ricardo Enrique
author_role author
author2 Gaston, Analia
Abalone, Rita Mónica
De La Torre, Diego
Castellari, Claudia Carla
Bartosik, Ricardo Enrique
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Maíz
Zea Mays
Almacenamiento Atmósfera Controlada
Oxígeno
Dióxido de Carbono
Respiración
Modelización
Actividad del Agua
Maize
Controlled Atmosphere Storage
Oxygen
Carbon Dioxide
Respiration
Modelling
Water Activity
topic Maíz
Zea Mays
Almacenamiento Atmósfera Controlada
Oxígeno
Dióxido de Carbono
Respiración
Modelización
Actividad del Agua
Maize
Controlled Atmosphere Storage
Oxygen
Carbon Dioxide
Respiration
Modelling
Water Activity
dc.description.none.fl_txt_mv The dynamics of oxygen (O2) and carbon dioxide (CO2) concentrations were characterized in corn (Zea mays L.) seed hermetically stored in glass jars at 15, 25 and 35 °C and 14.3, 16.5 and 18.3% moisture content. Gas concentration curves were modeled with linear and exponential correlations and the respiration rate was calculated for each temperature and MC combination as storage time progressed and O2 was consumed. Three predictive respiration models were proposed: Model I, dependent on temperature and MC, and Model IIA, dependent on temperature and oxygen (fitted for each MC level), and Model IIB, dependent on temperature, MC and O2. All models were validated with two independent sets of experimental data. Respiration rate increased with MC and temperature, and it appeared that O2 concentration affected respiration only after a critical limit of about 1% was reached. The values of respiration rates obtained in this study were from 1.36 to 823.76 mg O2 d−1 and from 0.83 to 1265.62 mg CO2 d−1. Respiration rate substantially increased for aw conditions greater than 0.85, presumably due to the onset of the embryo's metabolic activity and the activation of the facultative microorganisms. Literature data was provided to support this observation. Based on this study, Models I and IIB could be indistinctly used in simulation models for predicting O2 and CO2 evolution of hermetically stored seed. However, model IIB provides the advantage of attenuation of the respiration rate as O2 is depleted.
EEA Balcarce
Fil: Marcos Valle, Facundo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.
Fil: Gastón, Analía. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina.
Fil: Abalone, Rita. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina.
Fil: Abalone, Rita. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: De la Torre, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.
Fil: Castellari, Claudia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.
Fil: Bartosik, Ricardo Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.
description The dynamics of oxygen (O2) and carbon dioxide (CO2) concentrations were characterized in corn (Zea mays L.) seed hermetically stored in glass jars at 15, 25 and 35 °C and 14.3, 16.5 and 18.3% moisture content. Gas concentration curves were modeled with linear and exponential correlations and the respiration rate was calculated for each temperature and MC combination as storage time progressed and O2 was consumed. Three predictive respiration models were proposed: Model I, dependent on temperature and MC, and Model IIA, dependent on temperature and oxygen (fitted for each MC level), and Model IIB, dependent on temperature, MC and O2. All models were validated with two independent sets of experimental data. Respiration rate increased with MC and temperature, and it appeared that O2 concentration affected respiration only after a critical limit of about 1% was reached. The values of respiration rates obtained in this study were from 1.36 to 823.76 mg O2 d−1 and from 0.83 to 1265.62 mg CO2 d−1. Respiration rate substantially increased for aw conditions greater than 0.85, presumably due to the onset of the embryo's metabolic activity and the activation of the facultative microorganisms. Literature data was provided to support this observation. Based on this study, Models I and IIB could be indistinctly used in simulation models for predicting O2 and CO2 evolution of hermetically stored seed. However, model IIB provides the advantage of attenuation of the respiration rate as O2 is depleted.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-15T12:19:08Z
2021-06-15T12:19:08Z
2021-06-05
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/20.500.12123/9587
https://www.sciencedirect.com/science/article/abs/pii/S1537511021001094
1537-5110
https://doi.org/10.1016/j.biosystemseng.2021.05.009
url http://hdl.handle.net/20.500.12123/9587
https://www.sciencedirect.com/science/article/abs/pii/S1537511021001094
https://doi.org/10.1016/j.biosystemseng.2021.05.009
identifier_str_mv 1537-5110
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/PNCYO-1127023/AR./Contaminación con micotoxinas en grano de cereales y oleaginosas en pre y poscosecha: identificación de situaciones de riesgo, desarrollo de pronósticos con base meteorológica y de buenas prácticas de manejo, internalización territorial.
info:eu-repograntAgreement/INTA/PNAIyAV-1130023/AR./Tecnologías de agricultura de precisión para mejorar la eficiencia de la producción agropecuaria.
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.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Biosystems Engineering 208 : 45-57 (August 2021)
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
_version_ 1842341388037914624
score 12.623145

Publicaciones similares