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Sabrina Passoni

Bio: Sabrina Passoni is an academic researcher from Ponta Grossa State University. The author has contributed to research in topics: Soil structure & Porosity. The author has an hindex of 4, co-authored 4 publications receiving 159 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, a detailed analysis of changes in the soil structure induced by conventional (CT) and no-tillage (NT) systems was carried out for three different soil depths (0-10, 10-20 and 20-30 cm).
Abstract: Structure represents one of the main soil physical attributes indicators. The soil porous system (SPS) is directly linked to the soil structure. Water retention, movement, root development, gas diffusion and the conditions for all soil biota are related to the SPS. Studies about the influence of tillage systems in the soil structure are important to evaluate their impact in the soil quality. This paper deals with a detailed analysis of changes in the soil structure induced by conventional (CT) and no-tillage (NT) systems. Three different soil depths were studied (0–10, 10–20 and 20–30 cm). Data of the soil water retention curve (SWRC), micromorphologic (impregnated blocks) (2D) and microtomographic (μCT) (3D) analyses were utilized to characterize the SPS. Such analyses enabled the investigation of porous system attributes such as: porosity, pore number and shape, pore size distribution, tortuosity and connectivity. Results from this study show a tri-modal pore size distribution (PSD) at depths 0–10 and 10–20 cm for the soil under CT and a bi-modal PSD for the lower layer (20–30 cm). Regarding the soil under NT, tri-modal PSDs were found at the three depths analyzed. Results based on the micromorphologic analysis (2D) showed that the greatest contribution to areal porosity (AP) is given by pores of round (R) shape for CT (52%: 0–10 cm; 50%: 10–20 cm; 67%: 20–30 cm). Contrary to the results observed for CT, the soil under NT system gave the greatest contribution to AP, for the upper (0–10 cm) and intermediate (10–20 cm) layers, due to the large complex (C) pore types. For the μCT analysis, several types of pores were identified for each soil tillage system. Small differences in the macroporosity (MAP) were observed for the 0–10 and 20–30 cm between CT and NT. A better pore connectivity was found for the 0–10 cm layer under NT.

177 citations

Journal ArticleDOI
TL;DR: In this article, the shape and number of the soil pore system in a sub-tropical soil was analyzed using a second generation X-ray microtomograph equipped with a plain type detector.
Abstract: Analysis of the soil pore system represents an important way of characterizing soil structure. Properties such as the shape and number of pores can be determined through soil pore evaluations. This study presents a three-dimensional (3D) characterization of the shape and number of pores of a sub-tropical soil. To do so, a second generation X-ray microtomograph equipped with a plain type detector was employed. A voltage of 120 kV and current of 80 mA was applied to the X-ray tube. The soil samples analyzed were collected at three different depths (0-10, 10-20, and 20-30 cm). The results obtained allowed qualitative (images) and quantitative (3D) analyses of the soil structure, revealing the potential of the microtomographic technique, as well as the study of differences in soil macroporosity at different depths. Macroporosity was 5.14 % in the 0-10 cm layer, 5.10 % in the 10-20 cm layer, and 6.64 % in the 20-30 cm layer. The macroporosity of unclassified pores (UN) was 0.30 % (0-10 and 10-20 cm) and 0.40 % (20-30 cm), while equant pores (EQ) had values of 0.01 % at the three depths under analysis.

22 citations

Journal ArticleDOI
TL;DR: In this article, the authors used the free software Image J (version 1.40g) for image analysis of soil blocks from undisturbed Brazilian sandy loam soil using a digital portable optical microscope.

18 citations

Journal ArticleDOI
TL;DR: In this paper, the authors evaluated the quality of data provided by the Image J software (public domain) used to characterize the voids of two soils, characterized as Geric Ferralsol and Rhodic Feralsol from the southeast region of Brazil, from impregnated soil blocks.
Abstract: In the soil science, a direct method that allows the study of soil pore distribution is the bi-dimensional (2D) digital image analysis Such technique provides quantitative results of soil pore shape, number and size The use of specific softwares for the treatment and processing of images allows a fast and efficient method to quantify the soil porous system However, due to the high cost of commercial softwares, public ones can be an interesting alternative for soil structure analysis The objective of this work was to evaluate the quality of data provided by the Image J software (public domain) used to characterize the voids of two soils, characterized as Geric Ferralsol and Rhodic Ferralsol, from the southeast region of Brazil The pore distribution analysis technique from impregnated soil blocks was utilized for this purpose The 2D image acquisition was carried out by using a CCD camera coupled to a conventional optical microscope After acquisition and treatment of images, they were processed and analyzed by the software Noesis Visilog 54® (chosen as the reference program) and ImageJ The parameters chosen to characterize the soil voids were: shape, number and pore size distribution For both soils, the results obtained for the image total porosity (%), the total number of pores and the pore size distribution showed that the Image J is a suitable software to be applied in the characterization of the soil sample voids impregnated with resin

17 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, a detailed analysis of changes in the soil structure induced by conventional (CT) and no-tillage (NT) systems was carried out for three different soil depths (0-10, 10-20 and 20-30 cm).
Abstract: Structure represents one of the main soil physical attributes indicators. The soil porous system (SPS) is directly linked to the soil structure. Water retention, movement, root development, gas diffusion and the conditions for all soil biota are related to the SPS. Studies about the influence of tillage systems in the soil structure are important to evaluate their impact in the soil quality. This paper deals with a detailed analysis of changes in the soil structure induced by conventional (CT) and no-tillage (NT) systems. Three different soil depths were studied (0–10, 10–20 and 20–30 cm). Data of the soil water retention curve (SWRC), micromorphologic (impregnated blocks) (2D) and microtomographic (μCT) (3D) analyses were utilized to characterize the SPS. Such analyses enabled the investigation of porous system attributes such as: porosity, pore number and shape, pore size distribution, tortuosity and connectivity. Results from this study show a tri-modal pore size distribution (PSD) at depths 0–10 and 10–20 cm for the soil under CT and a bi-modal PSD for the lower layer (20–30 cm). Regarding the soil under NT, tri-modal PSDs were found at the three depths analyzed. Results based on the micromorphologic analysis (2D) showed that the greatest contribution to areal porosity (AP) is given by pores of round (R) shape for CT (52%: 0–10 cm; 50%: 10–20 cm; 67%: 20–30 cm). Contrary to the results observed for CT, the soil under NT system gave the greatest contribution to AP, for the upper (0–10 cm) and intermediate (10–20 cm) layers, due to the large complex (C) pore types. For the μCT analysis, several types of pores were identified for each soil tillage system. Small differences in the macroporosity (MAP) were observed for the 0–10 and 20–30 cm between CT and NT. A better pore connectivity was found for the 0–10 cm layer under NT.

177 citations

Journal ArticleDOI
01 Oct 2014-Geoderma
TL;DR: In this article, the authors reviewed how proximal soil sensing and other tools can be used in soil profile descriptions where techniques and toolkits have not changed in the past decades and compared the application of such tools to standard soil profile description for 11 common attri- butes: horizons, texture, color, structure, moisture, mottles, consistence, carbonates, rock fragments, pores and roots.

146 citations

Journal ArticleDOI
TL;DR: In this article, the nanoparticles of zeolitic imidazolate framework-8 (ZIF-8) are incorporated into poly (lactic acid) (PLA) to prepare porous electrospun membranes.

83 citations

Journal ArticleDOI
15 Sep 2019-Geoderma
TL;DR: In this article, the authors explore soil structure formation within a "space-for-time" chronosequence in the Rhenish lignite mining area, using X-ray CT scans of original columns as well as undisturbed subsamples of 3 and 0.7 cm diameter.

77 citations

Journal ArticleDOI
01 Dec 2017-Geoderma
TL;DR: In this paper, the authors investigated how corn cob biochar contributed to changes in soil water retention, air flow by convection and diffusion, and derived soil structure indices in a tropical sandy loam.

75 citations