Predicting soybean losses using carbon dioxide monitoring during storage in silo bags
- Autores
- Taher, Hernán Ignacio; Urcola, Hernan Alejandro; Cendoya, Maria Gabriela; Bartosik, Ricardo Enrique
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The rapid increase of the overall grain production of Argentina resulted with a storage capacity deficit in permanent structures of 40–50 million tons, and this context favored the rapid adoption of the silo bag technology. Silo bag allows differing grain selling from harvest time, taking advantage of the seasonal price changes and, hence, improving farmers’ income. However, storing grain in silo bag could be risky if inadequate planning, handling or monitoring is implemented. Thus, the objective of this article was to develop a prediction model for soybean losses in silo bag storage based on monitoring CO2 concentration and other sensible variables. During 2013, an experiment was conducted in 13 soybean silo bags placed at farms and grain elevators in Balcarce area, South East of Buenos Aires province, Argentina, since May to December. Grain samples were collected and grain quality was evaluated. Storage variables, such as moisture content and interstitial atmosphere gas composition were also recorded, and at the end of storage, physical grain losses were quantified for each silo bag (kg of spoiled grain not commercialized). The results showed that there was not generalized quality loss in any silo bag, but localized losses were observed. These losses occurred due to water entrance in the silo bag through openings which resulted in spoiled grain from 140 to 4320 kg, representing from 0.07% to 2.16% in a 200 ton silo bag. Next, a correlation to predict grain losses was developed, which considered grain moisture and a predictor related to the CO2 concentration at the silo bag closing end as independent variables. This correlation explained 73% of the grain losses variability, allowed to model different levels of losses, and was consistent with biological concepts.
EEA Balcarce
Fil: Taher, Hernán Ignacio. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Urcola, Hernán Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce, Argentina
Fil: Cendoya, María Gabriela. 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 - Fuente
- Journal of Stored Products Research 82 : 1-8 (2019)
- Materia
-
Soja
Vigilancia
Almacenamiento Atmósfera Controlada
Soybeans
Monitoring
Controlled Atmosphere Storage
Carbon Dioxide
Storage Losses
Dióxido de Carbono
Pérdidas por Almacenamiento
Silo-bolsa - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/4903
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Predicting soybean losses using carbon dioxide monitoring during storage in silo bagsTaher, Hernán IgnacioUrcola, Hernan AlejandroCendoya, Maria GabrielaBartosik, Ricardo EnriqueSojaVigilanciaAlmacenamiento Atmósfera ControladaSoybeansMonitoringControlled Atmosphere StorageCarbon DioxideStorage LossesDióxido de CarbonoPérdidas por AlmacenamientoSilo-bolsaThe rapid increase of the overall grain production of Argentina resulted with a storage capacity deficit in permanent structures of 40–50 million tons, and this context favored the rapid adoption of the silo bag technology. Silo bag allows differing grain selling from harvest time, taking advantage of the seasonal price changes and, hence, improving farmers’ income. However, storing grain in silo bag could be risky if inadequate planning, handling or monitoring is implemented. Thus, the objective of this article was to develop a prediction model for soybean losses in silo bag storage based on monitoring CO2 concentration and other sensible variables. During 2013, an experiment was conducted in 13 soybean silo bags placed at farms and grain elevators in Balcarce area, South East of Buenos Aires province, Argentina, since May to December. Grain samples were collected and grain quality was evaluated. Storage variables, such as moisture content and interstitial atmosphere gas composition were also recorded, and at the end of storage, physical grain losses were quantified for each silo bag (kg of spoiled grain not commercialized). The results showed that there was not generalized quality loss in any silo bag, but localized losses were observed. These losses occurred due to water entrance in the silo bag through openings which resulted in spoiled grain from 140 to 4320 kg, representing from 0.07% to 2.16% in a 200 ton silo bag. Next, a correlation to predict grain losses was developed, which considered grain moisture and a predictor related to the CO2 concentration at the silo bag closing end as independent variables. This correlation explained 73% of the grain losses variability, allowed to model different levels of losses, and was consistent with biological concepts.EEA BalcarceFil: Taher, Hernán Ignacio. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Urcola, Hernán Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce, ArgentinaFil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Bartosik, Ricardo Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier2019-04-15T13:33:08Z2019-04-15T13:33:08Z2019-06info: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/S0022474X18303916http://hdl.handle.net/20.500.12123/49030022-474Xhttps://doi.org/10.1016/j.jspr.2019.03.002Journal of Stored Products Research 82 : 1-8 (2019)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:38Zoai:localhost:20.500.12123/4903instacron: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 13:44:38.386INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Predicting soybean losses using carbon dioxide monitoring during storage in silo bags |
title |
Predicting soybean losses using carbon dioxide monitoring during storage in silo bags |
spellingShingle |
Predicting soybean losses using carbon dioxide monitoring during storage in silo bags Taher, Hernán Ignacio Soja Vigilancia Almacenamiento Atmósfera Controlada Soybeans Monitoring Controlled Atmosphere Storage Carbon Dioxide Storage Losses Dióxido de Carbono Pérdidas por Almacenamiento Silo-bolsa |
title_short |
Predicting soybean losses using carbon dioxide monitoring during storage in silo bags |
title_full |
Predicting soybean losses using carbon dioxide monitoring during storage in silo bags |
title_fullStr |
Predicting soybean losses using carbon dioxide monitoring during storage in silo bags |
title_full_unstemmed |
Predicting soybean losses using carbon dioxide monitoring during storage in silo bags |
title_sort |
Predicting soybean losses using carbon dioxide monitoring during storage in silo bags |
dc.creator.none.fl_str_mv |
Taher, Hernán Ignacio Urcola, Hernan Alejandro Cendoya, Maria Gabriela Bartosik, Ricardo Enrique |
author |
Taher, Hernán Ignacio |
author_facet |
Taher, Hernán Ignacio Urcola, Hernan Alejandro Cendoya, Maria Gabriela Bartosik, Ricardo Enrique |
author_role |
author |
author2 |
Urcola, Hernan Alejandro Cendoya, Maria Gabriela Bartosik, Ricardo Enrique |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Soja Vigilancia Almacenamiento Atmósfera Controlada Soybeans Monitoring Controlled Atmosphere Storage Carbon Dioxide Storage Losses Dióxido de Carbono Pérdidas por Almacenamiento Silo-bolsa |
topic |
Soja Vigilancia Almacenamiento Atmósfera Controlada Soybeans Monitoring Controlled Atmosphere Storage Carbon Dioxide Storage Losses Dióxido de Carbono Pérdidas por Almacenamiento Silo-bolsa |
dc.description.none.fl_txt_mv |
The rapid increase of the overall grain production of Argentina resulted with a storage capacity deficit in permanent structures of 40–50 million tons, and this context favored the rapid adoption of the silo bag technology. Silo bag allows differing grain selling from harvest time, taking advantage of the seasonal price changes and, hence, improving farmers’ income. However, storing grain in silo bag could be risky if inadequate planning, handling or monitoring is implemented. Thus, the objective of this article was to develop a prediction model for soybean losses in silo bag storage based on monitoring CO2 concentration and other sensible variables. During 2013, an experiment was conducted in 13 soybean silo bags placed at farms and grain elevators in Balcarce area, South East of Buenos Aires province, Argentina, since May to December. Grain samples were collected and grain quality was evaluated. Storage variables, such as moisture content and interstitial atmosphere gas composition were also recorded, and at the end of storage, physical grain losses were quantified for each silo bag (kg of spoiled grain not commercialized). The results showed that there was not generalized quality loss in any silo bag, but localized losses were observed. These losses occurred due to water entrance in the silo bag through openings which resulted in spoiled grain from 140 to 4320 kg, representing from 0.07% to 2.16% in a 200 ton silo bag. Next, a correlation to predict grain losses was developed, which considered grain moisture and a predictor related to the CO2 concentration at the silo bag closing end as independent variables. This correlation explained 73% of the grain losses variability, allowed to model different levels of losses, and was consistent with biological concepts. EEA Balcarce Fil: Taher, Hernán Ignacio. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Urcola, Hernán Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce, Argentina Fil: Cendoya, María Gabriela. 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 |
description |
The rapid increase of the overall grain production of Argentina resulted with a storage capacity deficit in permanent structures of 40–50 million tons, and this context favored the rapid adoption of the silo bag technology. Silo bag allows differing grain selling from harvest time, taking advantage of the seasonal price changes and, hence, improving farmers’ income. However, storing grain in silo bag could be risky if inadequate planning, handling or monitoring is implemented. Thus, the objective of this article was to develop a prediction model for soybean losses in silo bag storage based on monitoring CO2 concentration and other sensible variables. During 2013, an experiment was conducted in 13 soybean silo bags placed at farms and grain elevators in Balcarce area, South East of Buenos Aires province, Argentina, since May to December. Grain samples were collected and grain quality was evaluated. Storage variables, such as moisture content and interstitial atmosphere gas composition were also recorded, and at the end of storage, physical grain losses were quantified for each silo bag (kg of spoiled grain not commercialized). The results showed that there was not generalized quality loss in any silo bag, but localized losses were observed. These losses occurred due to water entrance in the silo bag through openings which resulted in spoiled grain from 140 to 4320 kg, representing from 0.07% to 2.16% in a 200 ton silo bag. Next, a correlation to predict grain losses was developed, which considered grain moisture and a predictor related to the CO2 concentration at the silo bag closing end as independent variables. This correlation explained 73% of the grain losses variability, allowed to model different levels of losses, and was consistent with biological concepts. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-15T13:33:08Z 2019-04-15T13:33:08Z 2019-06 |
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/S0022474X18303916 http://hdl.handle.net/20.500.12123/4903 0022-474X https://doi.org/10.1016/j.jspr.2019.03.002 |
url |
https://www.sciencedirect.com/science/article/pii/S0022474X18303916 http://hdl.handle.net/20.500.12123/4903 https://doi.org/10.1016/j.jspr.2019.03.002 |
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.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
Journal of Stored Products Research 82 : 1-8 (2019) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) |
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INTA Digital (INTA) |
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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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