Published

2024-05-28

Geo-spatial sensing of physical properties a leeway to agricultural soil assessment

La detección geoespacial de las propiedades físicas, un margen de maniobra para la evaluación del suelo agrícola

DOI:

https://doi.org/10.15446/esrj.v28n1.109054

Keywords:

electrical conductivity, soil composition, mineral assemblages, nutrient variability, agricultural soil assessment, cation exchange capacity, spatial distribution (en)
conductividad eléctrica, Composición del suelo, Conjuntos minerales, variabilidad de nutrientes, evaluación del suelo agrícola, capacidad de intercambio de cationes, distribución espacial (es)

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Authors

  • Abayomi Adesola Olaojo Department of Earth Sciences, Ajayi Crowther University, Oyo, Nigeria https://orcid.org/0000-0002-6223-4297
  • Michael Adeyinka Oladunjoye Department of Geology, University of Ibadan, Ibadan, Nigeria

The demand for economical means of evaluating soil nutrients’ unpredictability triggered the use of physical factors against the costlier, laborious, and time-consuming chemical approach. This drive led to resolving its capability in evaluating intricate soil properties as a productivity checker. This study aimed at assessing the physical parameters as a useful alternative to the conventional chemical examination of nutrient inconsistency. A petrographic examination was conducted on four rock samples for their classifications. Apparent Electrical Conductivity (ECa) measurements were seasonally executed in the wet (912-station) and dry (906-station). Ten cored soil samples were subjected to a permeability test. Twenty soil samples were examined for pH, Electrical Conductivity (EC), available phosphorus, acidity, Na, Mg, K, and Ca using standard soil science procedures. The mineralogical composition of six samples was determined with X-ray diffraction. The rock is biotite granite gneiss containing plagioclase (22%), microcline (24%), orthoclase (4%), quartz (25%), biotite (7%), and others (18%). The soils ECa were 10-344 µS/cm; categorised as low (1-49 µS/cm), moderate (50-99 µS/cm), and high (>100 µS/cm). The ECa distribution varied from moderate (61%) to high (64%) suggesting a heterogeneous pattern of soil attributes. The infiltration rate was slow in high ECa (5.56x10-5-1.67x10-4 cm/s) signifying good retention capability whereas the low and moderate ECa (moderate-moderately rapid) sections promote nutrient leaching. The cation exchangeable capacity was low (2.99 cmol/kg) in the low ECa and moderate (3.30-4.85 cmol/kg) in the moderate and high ECa; with varying basic cation saturation in the high (81.38%), moderate (73.34%) and low (71.89%) ECa regions and high ECa had higher fertility status. The high ECa had low quartz (41.3%) and microcline (15.7%), but high kaolinite (31.1%) had an affinity to ads orb more cations compared to other ECa regions. ECa variability is practicable in predicting the spatial distribution of soil properties and delineating the management zones.

Key words: Granite gneiss, electrical conductivity, permeability, soil composition, mineral assemblages

La demanda de medios económicos para evaluar la imprevisibilidad de los nutrientes del suelo desencadenó el uso de factores físicos contra el enfoque químico más costoso, laborioso y lento. Este impulso condujo a resolver su capacidad para evaluar propiedades complejas del suelo como verificador de productividad. Este estudio tuvo como objetivo evaluar los parámetros físicos como una alternativa útil al examen químico convencional de la inconsistencia de nutrientes.

Se realizó un examen petrográfico de cuatro muestras de roca para su clasificación. Las mediciones de conductividad eléctrica aparente (ECa) se realizaron estacionalmente en húmedo (estación 912) y seco (estación 906). Se sometieron diez muestras de suelo con núcleo a una prueba de permeabilidad. Se examinaron veinte muestras de suelo para pH, conductividad eléctrica (CE), fósforo disponible, acidez, Na, Mg, K y Ca utilizando procedimientos estándar de ciencia del suelo. La composición mineralógica de seis muestras se determinó con difracción de rayos X.

La roca es biotita granito gneis que contiene plagioclasa (22%), microclina (24%), ortoclasa (4%), cuarzo (25%), biotita (7%) y otros (18%). Los suelos ECa fueron 10-344 µS/cm; clasificados como bajo (1-49 µS/cm), moderado (50-99 µS/cm) y alto (>100 µS/cm). La distribución de ECa varió de moderada (61%) a alta (64%), lo que sugiere un patrón heterogéneo de atributos del suelo. La tasa de infiltración fue lenta en ECa alta (5.56x10-5-1.67x10-4 cm/s) lo que significa una buena capacidad de retención mientras que las secciones de ECa baja y moderada (moderada-moderadamente rápida) promueven la lixiviación de nutrientes. La capacidad de intercambio catiónico fue baja (2.99 cmol/kg) en el ECa bajo y moderada (3.30-4.85 cmol/kg) en el ECa moderado y alto; con saturación de cationes básicos variable en las regiones ECa alta (81.38%), moderada (73.34%) y baja (71.89%) y ECa alta tenían un estado de fertilidad más alto. La ECa alta tenía cuarzo bajo (41.3 %) y microclina (15.7 %), pero la caolinita alta (31.1 %) tenía afinidad para adsorber más cationes en comparación con otras regiones de ECa.

La variabilidad de ECa es factible para predecir la distribución espacial de las propiedades del suelo y delimitar las zonas de gestión.

 

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Olaojo, A. A. and Oladunjoye, M. A. (2024). Geo-spatial sensing of physical properties a leeway to agricultural soil assessment . Earth Sciences Research Journal, 28(1), 79–91. https://doi.org/10.15446/esrj.v28n1.109054

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Olaojo, A.A. and Oladunjoye, M.A. 2024. Geo-spatial sensing of physical properties a leeway to agricultural soil assessment . Earth Sciences Research Journal. 28, 1 (May 2024), 79–91. DOI:https://doi.org/10.15446/esrj.v28n1.109054.

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Olaojo, A. A.; Oladunjoye, M. A. Geo-spatial sensing of physical properties a leeway to agricultural soil assessment . Earth sci. res. j. 2024, 28, 79-91.

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OLAOJO, A. A.; OLADUNJOYE, M. A. Geo-spatial sensing of physical properties a leeway to agricultural soil assessment . Earth Sciences Research Journal, [S. l.], v. 28, n. 1, p. 79–91, 2024. DOI: 10.15446/esrj.v28n1.109054. Disponível em: https://revistas.unal.edu.co/index.php/esrj/article/view/109054. Acesso em: 28 mar. 2025.

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Olaojo, Abayomi Adesola, and Michael Adeyinka Oladunjoye. 2024. “Geo-spatial sensing of physical properties a leeway to agricultural soil assessment ”. Earth Sciences Research Journal 28 (1):79-91. https://doi.org/10.15446/esrj.v28n1.109054.

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Olaojo, A. A. and Oladunjoye, M. A. (2024) “Geo-spatial sensing of physical properties a leeway to agricultural soil assessment ”, Earth Sciences Research Journal, 28(1), pp. 79–91. doi: 10.15446/esrj.v28n1.109054.

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A. A. Olaojo and M. A. Oladunjoye, “Geo-spatial sensing of physical properties a leeway to agricultural soil assessment ”, Earth sci. res. j., vol. 28, no. 1, pp. 79–91, May 2024.

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Olaojo, A. A., and M. A. Oladunjoye. “Geo-spatial sensing of physical properties a leeway to agricultural soil assessment ”. Earth Sciences Research Journal, vol. 28, no. 1, May 2024, pp. 79-91, doi:10.15446/esrj.v28n1.109054.

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Olaojo, Abayomi Adesola, and Michael Adeyinka Oladunjoye. “Geo-spatial sensing of physical properties a leeway to agricultural soil assessment ”. Earth Sciences Research Journal 28, no. 1 (May 28, 2024): 79–91. Accessed March 28, 2025. https://revistas.unal.edu.co/index.php/esrj/article/view/109054.

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Olaojo AA, Oladunjoye MA. Geo-spatial sensing of physical properties a leeway to agricultural soil assessment . Earth sci. res. j. [Internet]. 2024 May 28 [cited 2025 Mar. 28];28(1):79-91. Available from: https://revistas.unal.edu.co/index.php/esrj/article/view/109054

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The licensor cannot revoke these freedoms as long as you follow the license terms.