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MATERIA ORGÁNICA EN SUELOS DE LA REGIÓN CHACO-PAMPEANA Y SU ESTIMACIÓN MEDIANTE REFLECTANCIA DIFUSA EN EL RANGO VISIBLE.

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Title: MATERIA ORGÁNICA EN SUELOS DE LA REGIÓN CHACO-PAMPEANA Y SU ESTIMACIÓN MEDIANTE REFLECTANCIA DIFUSA EN EL RANGO VISIBLE.
Alternate Title: ESTIMATION OF ORGANIC MATTER CONTENT IN SOILS FROM THE CHACO-PAMPEAN REGION THROUGH DIFFUSE REFLECTANCE IN THE VISIBLE RANGE.
Authors: Fernández, Patricia Lilia1,2 fpl@agro.uba.ar, Kraemer, Filipe Behrends1,2, Castiglioni, Mario Guillermo1
Source: Ciencia del Suelo. dic2025, Vol. 43 Issue 2, p308-321. 14p.
Subjects: Reflectance spectroscopy, Soil quality, Visible spectra, Land use, Chemometrics, Organic compounds
Abstract (English): Soil organic matter (SOM) is the most widely used indicator of soil health, as it influences the physical, chemical, and biological properties of the soil. Traditionally, SOM is determined through wet or dry combus-tion. In this work, a rapid, economical, non-destructive, and precise methodology for estimating SOM, such as diffuse reflectance spectroscopy in the visible range (VIS) (350-750 nm) was evaluated. A total of 187 soil samples from Santiago del Estero (SE) [San José de Boquerón (SJB), n=79; Añatuya (A), n=108] and 409 samples from southern Santa Fe (SF) were taken to determine SOM by wet combustion and by diffuse reflectance spectroscopy. SOM determined by wet combustion ranged from 0.75 to 6.13% in SJB, from 1.70 to 2.41% in A, and from 1.04 to 9.27% in SF. Variation in SOM was also observed when comparing land uses: mixed farming system (AGR-GAN) (2.96%) > livestock system (GAN) (2.67%) > agriculture (AGR) (2.43%). Additionally, the PARLES software was used for chemometric analysis. Models behavior (observed vs. estimated data) showed that transformation and differentiation were significant manipulation factors. In SE, the results were pooled (SJB+A) and an estimation equation was obtained with a determination coefficient of 0.12. A segmental fit of 0.41 was found in SF, following the 1:1 line at values below 5.03%, while there was an underestimation at higher values. Considering land use, livestock system showed better fits on the 1:1 line (R2=0.84). The results account for the differences in carbon content across different sites and different land uses. Although organic matter estimation based on a simple methodology such as diffuse reflectance in the VIS spectrum appears to be promising, it is necessary to explore the robustness of this methodology throughout other management conditions and regions. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): La materia orgánica del suelo (MO) es el atributo más utilizado como indicador de su salud, ya que afecta las propiedades físicas, químicas y biológicas edáficas. Tradicionalmente, su determinación se realiza mediante combustión húmeda o seca. En el presente trabajo se exploró su estimación a partir de una metodología rápida, económica, no destructiva y precisa, como la espectroscopia de reflectancia difusa en el rango visible (VIS) (350-750 nm). Se midió MO por combustión húmeda, al mismo tiempo que se determinó la reflectancia difusa de muestras obtenidas de diferentes sitios: 187 de suelos correspondientes a Santiago del Estero (SE) (San José de Boquerón-SJB, n=79; Añatuya-A, n=108) y 409 del sur de Santa Fe (SF). La MO determinada por combustión húmeda presentó en SJB un rango de 0,75-6,13 %, en A este fue de 1,70-2,41%, mientras que en SF fue 1,04-9,27%; con un ordenamiento por uso de la tierra: agrícola-ganadero (AGR-GAN) (2,96%)> ganadero (GAN) (2,67%) > agrícola (AGR) (2,43%). Para el análisis quimiométrico se utilizó el programa PARLES. El comportamiento de los modelos (observados vs estimados), mostró que dos factores de manipulación de datos fueron significativos: transformación y diferenciación. En SE los resultados se analizaron en conjunto (SJB+A), obteniendo una ecuación de estimación con un coeficiente de determinación de 0,12. SF presentó un ajuste de 0,41. El análisis de las dos zonas en conjunto tuvieron un ajuste por segmento. En valores menores a 5,03% el ajuste se situó sobre la línea 1:1, mientras que existió una subestimación en valores mayores. Considerando el uso de la tierra, la ganadería presentó mejores ajustes sobre la línea 1:1 (R2=0,84). Los resultados dan cuenta de las diferencias de carbono en diferentes áreas y usos, mientras que la estimación de la MO, a partir de una metodología sencilla como la reflectancia difusa en el espectro VIS, es promisoria. No obstante, es necesario explorar la robustez de esta metodología en un mayor número situaciones y regiones. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Soil organic matter (SOM) is the most widely used indicator of soil health, as it influences the physical, chemical, and biological properties of the soil. Traditionally, SOM is determined through wet or dry combus-tion. In this work, a rapid, economical, non-destructive, and precise methodology for estimating SOM, such as diffuse reflectance spectroscopy in the visible range (VIS) (350-750 nm) was evaluated. A total of 187 soil samples from Santiago del Estero (SE) [San José de Boquerón (SJB), n=79; Añatuya (A), n=108] and 409 samples from southern Santa Fe (SF) were taken to determine SOM by wet combustion and by diffuse reflectance spectroscopy. SOM determined by wet combustion ranged from 0.75 to 6.13% in SJB, from 1.70 to 2.41% in A, and from 1.04 to 9.27% in SF. Variation in SOM was also observed when comparing land uses: mixed farming system (AGR-GAN) (2.96%) > livestock system (GAN) (2.67%) > agriculture (AGR) (2.43%). Additionally, the PARLES software was used for chemometric analysis. Models behavior (observed vs. estimated data) showed that transformation and differentiation were significant manipulation factors. In SE, the results were pooled (SJB+A) and an estimation equation was obtained with a determination coefficient of 0.12. A segmental fit of 0.41 was found in SF, following the 1:1 line at values below 5.03%, while there was an underestimation at higher values. Considering land use, livestock system showed better fits on the 1:1 line (R2=0.84). The results account for the differences in carbon content across different sites and different land uses. Although organic matter estimation based on a simple methodology such as diffuse reflectance in the VIS spectrum appears to be promising, it is necessary to explore the robustness of this methodology throughout other management conditions and regions. [ABSTRACT FROM AUTHOR]
ISSN:03263169
DOI:10.64132/cds.v43i2.928