Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage
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.
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Elsevier
2021-06-05
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Subjects: | 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, |
Online Access: | 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 |
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oai:localhost:20.500.12123-95872021-06-15T12:30:42Z Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage Marcos Valle, Facundo Gaston, Analia Abalone, Rita De La Torre, Diego Castellari, Claudia Bartosik, Ricardo Enrique 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 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. 2021-06-15T12:19:08Z 2021-06-15T12:19:08Z 2021-06-05 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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. info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Biosystems Engineering 208 : 45-57 (August 2021) |
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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 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 |
spellingShingle |
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 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 Marcos Valle, Facundo Gaston, Analia Abalone, Rita De La Torre, Diego Castellari, Claudia Bartosik, Ricardo Enrique Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage |
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. |
format |
info:ar-repo/semantics/artículo |
topic_facet |
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 |
author |
Marcos Valle, Facundo Gaston, Analia Abalone, Rita De La Torre, Diego Castellari, Claudia Bartosik, Ricardo Enrique |
author_facet |
Marcos Valle, Facundo Gaston, Analia Abalone, Rita De La Torre, Diego Castellari, Claudia Bartosik, Ricardo Enrique |
author_sort |
Marcos Valle, Facundo |
title |
Study and modelling the respiration of corn seeds (Zea mays L.) during hermetic storage |
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 |
publisher |
Elsevier |
publishDate |
2021-06-05 |
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 |
work_keys_str_mv |
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