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
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/4903
Acceder
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oai_identifier_str oai:localhost:20.500.12123/4903
network_acronym_str INTADig
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network_name_str INTA Digital (INTA)
spelling 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/restrictedAccess2025-10-16T09:29:30Zoai: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:l2025-10-16 09:29:30.608INTA 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
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 12.712165

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