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Resumen
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 [ver mas...]
dc.contributor.authorMarcos Valle, Facundo
dc.contributor.authorGaston, Analia
dc.contributor.authorAbalone, Rita
dc.contributor.authorDe La Torre, Diego
dc.contributor.authorCastellari, Claudia
dc.contributor.authorBartosik, Ricardo Enrique
dc.date.accessioned2021-06-15T12:19:08Z
dc.date.available2021-06-15T12:19:08Z
dc.date.issued2021-06-05
dc.identifier.issn1537-5110
dc.identifier.otherhttps://doi.org/10.1016/j.biosystemseng.2021.05.009
dc.identifier.urihttp://hdl.handle.net/20.500.12123/9587
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S1537511021001094
dc.description.abstractThe 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.relationinfo: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.es_AR
dc.relationinfo:eu-repograntAgreement/INTA/PNAIyAV-1130023/AR./Tecnologías de agricultura de precisión para mejorar la eficiencia de la producción agropecuaria.es_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceBiosystems Engineering 208 : 45-57 (August 2021)es_AR
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectZea Mayses_AR
dc.subjectAlmacenamiento Atmósfera Controladaes_AR
dc.subjectControlled Atmosphere Storageeng
dc.subjectOxígenoes_AR
dc.subjectOxygeneng
dc.subjectDióxido de Carbonoes_AR
dc.subjectCarbon Dioxideeng
dc.subjectRespiraciónes_AR
dc.subjectRespirationeng
dc.subjectModelizaciónes_AR
dc.subjectModellingeng
dc.subjectActividad del Aguaes_AR
dc.subjectWater Activityeng
dc.titleStudy and modelling the respiration of corn seeds (Zea mays L.) during hermetic storagees_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Balcarcees_AR
dc.description.filFil: Marcos Valle, Facundo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Gastón, Analía. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina.es_AR
dc.description.filFil: Abalone, Rita. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina.es_AR
dc.description.filFil: Abalone, Rita. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: 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.es_AR
dc.description.filFil: Castellari, Claudia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: 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.es_AR
dc.subtypecientifico


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