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Influence of physical and chemical soil properties on the adsorption of Escherichia coli in Mollisols and Alfisols of Argentina

Colaborador(es): Behrends Kraemer, Filipe. Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Recursos Naturales. Instituto de Suelos. Hurlingham, Buenos Aires, Argentina | Chagas, Celio Ignacio. Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina | Morrás, Héctor José María. Instituto Nacional de Tecnología Agropecuaria (INTA). Recursos Naturales. Instituto de Suelos. Hurlingham, Buenos Aires, Argentina | Morettón, Juan. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Buenos Aires, Argentina | Paz, Marta. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Buenos Aires, Argentina | Garibaldi, Lucas Alejandro. Universidad Nacional del Comahue. Centro Universitario Bariloche. Laboratorio Ecotono. San Carlos de Bariloche, Argentina. CONICET - Instituto de Investigaciones en Biodiversidad y Medioambiente(INIBIOMA). San Carlos de Bariloche, Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.
ISSN: 0188-4999.Otro título: Influencia de las propiedades físicas y químicas del suelo en la adsorción de Escherichia coli en Molisoles y Alfisoles de Argentina.Tipo de material: Artículos y capítulos. Recurso electrónico.Tema(s): WATER POLLUTION | GRAZING | BACTERIAL ADSORPTION | ARGIUDOLLS | NATRAQUALFS | Recursos en línea: Haga clic para acceso en línea | LINK AL EDITOR En: Revista Internacional de Contaminación Ambiental vol.29 no.1 (2013), p.7-20, grafs., tbls., fot.Resumen: Bacterial adsorption on soils and sediments is one of the main factors that control bacterial transport to water bodies. In this work, 32 soil samples representative of the most important arable areas of the Rolling Pampa region (Argiudolls) and bottomlands devoted to livestock production (Natraqualfs) were analyzed in order to evaluate bacterial - soil adsorption. The first axis of a principal component analysis explained 45 per cent of the total variation among soils in 11 physical and chemical properties, and was strongly and positively related to bacterial adsorption (r2=0.67). Soil bacterial adsorption presented a large range of values (25-73 per cent), being those for Argiudolls significantly higher than those for Natraqualfs. For both soils, cation exchange capacity (CEC) (r2=0.67) and clay content (r2=0.55) were positively associated with bacterial adsorption; whereas exchangeable sodium percentage (ESP) showed a negative tendency (r2=0.42). It is concluded that in the basin studied, granulometry, CEC and ESP proved to be important properties to discriminate bacterial-soil adsorption, and the following equation to estimate mean soil bacterial adsorption in these soils is proposed: y=1.73×CEC – 0.05×sand(50-250 µm)[g kg–1]–0.54×ESP (R2adjust=0.77). These results would help to monitor water quality of surface water bodies by the development of bacterial transport models using standard soil data.
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Bacterial adsorption on soils and sediments is one of the main factors that control bacterial transport to water bodies.
In this work, 32 soil samples representative of the most important arable areas of the Rolling Pampa region (Argiudolls) and bottomlands devoted to livestock production (Natraqualfs) were analyzed in order to evaluate bacterial - soil adsorption. The first axis of a principal component analysis explained 45 per cent of the total variation among soils in 11 physical and chemical properties, and was strongly and positively related to bacterial adsorption (r2=0.67).
Soil bacterial adsorption presented a large range of values (25-73 per cent), being those for Argiudolls significantly higher than those for Natraqualfs.
For both soils, cation exchange capacity (CEC) (r2=0.67) and clay content (r2=0.55) were positively associated with bacterial adsorption; whereas exchangeable sodium percentage (ESP) showed a negative tendency (r2=0.42).
It is concluded that in the basin studied, granulometry, CEC and ESP proved to be important properties to discriminate bacterial-soil adsorption, and the following equation to estimate mean soil bacterial adsorption in these soils is proposed: y=1.73×CEC – 0.05×sand(50-250 µm)[g kg–1]–0.54×ESP (R2adjust=0.77). These results would help to monitor water quality of surface water bodies by the development of bacterial transport models using standard soil data.

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