Dependência e correlação espacial dos atributos de solo em função do arranjo amostral

Gelain, Evandro; Bottega, Eduardo Leonel; Motomiya, Anamari Viegas de Araújo; Marin, Cristielle König; Oliveira, Zanandra Boff de

doi:10.17058/tecnolog.v25i1.15548

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions, or products referred to in the content. tility through georeferenced soil sampling [4]. The mapping of the spatial variability of soil and plant attributes provides tools to scout the fields with layers of information, allowing site-specific interventions [5], in particular, in soil attributes that are crop yield limiting.…”

Section: Introductionmentioning

confidence: 99%

Soil Density Characterization Based on Management Zones in Two Cultivation Areas: Dryland System and the Center-Pivot Irrigation System

Bottega¹,

Marin²,

Oliveira³

et al. 2023

Preprint

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Knowing the spatial variability of factors that influence crop yield is essential to carry out a localized treatment. The present study aimed to map the spatial variability of apparent soil electrical conductivity (ECa) in two cultivation areas, delimit management zones (MZ), characterize the soil density (Sd) at two depths, in each MZ, and assess whether the delimitation of MZ, based on the spatial variability of ECa, was able to identify regions of the productive field with different Sd. Spatial variability of ECa was detected. MZ with the highest mean value of ECa also presented the highest mean values of Sd. The highest Sd values were observed for the 0.1 – 0.2 m layer, regardless of the studied area. Regardless of granulometry, the proposed method was able to detect density differences from ECa. The delimitation of MZ, based on the spatial variability of ECa mapping, was able to differentiate the mean values of Sd between MZ 1 (1.53 g cm-3) and MZ 2 (1.67 g cm-3) in the Area A, in the 0.1 – 0.2 m layer. A statistical difference was observed for the mean values of Sd, in MZ 1, layer 0.1 - 0.2 m, when comparing the two study areas: A (1.53 g cm-3) and B (1.64 g cm-3). We suggest that further studies should be carried out, as the mapping of the spatial variability of the apparent soil electrical conductivity showed potential in the differentiation of soil bulk density at different depths.

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Section: Introductionmentioning

confidence: 99%

Soil Density Characterization Based on Management Zones in Two Cultivation Areas: Dryland System and the Center-Pivot Irrigation System

Bottega¹,

Marin²,

Oliveira³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…According to Lopes et al (2020), adequate sampling should be as small as possible, but with a representative accuracy, in order to produce reliable results. The accuracy of the mapping, in grid sampling, is directly related to the number of sampling points, and the denser the grid, the greater the reliability of the generated map (GELAIN et al, 2021), however, the greater will also be the cost of sampling and laboratory analysis, which may, according to the size of the area, invalidate the use of this technique.…”

Section: Introductionmentioning

confidence: 99%

Characterization of the soil compaction based on the mapping of the apparent electrical conductivity

Bottega¹,

Sari²,

Oliveira³

et al. 2021

Reveng

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Based on the measurement of soil penetration resistance (PR), it is possible to identify compacted soil layers, where root growth may be harmed, affecting crop development and yield. The objective of this work was to analyze the use of management zones (MZ), delimited on the basis of mapping of the spatial variability of the soil apparent electrical conductivity (ECa), in the differentiation of soil compaction levels. The work was carried out in a 25.8-ha no-tillage area, cultivated under a center pivot. The ECa was measured under two soil moisture conditions (13.7 and 16.45%), using the Terram® equipment. Soil penetration resistance (PR) was measured using the SoloStar PLG5500 penetrograph. Based on the spatial variability ECa mapping, management zones (2, 3, and 4 zones) were delimited. The mean PR values ??of each MZ were compared by the t-test of means. It was possible to differentiate mean values ??of penetration resistance (PR), which vary from 0.9 to 2.10 MPa, from the characterization of management classes generated on the basis of the ECa spatial variability. The highest stratification of PR values ??was obtained as a function of sampling directed at delimited management zones when the soil had lower moisture content (13.7%). The highest mean PR values ??were obtained for the split of the ECa map into at least three classes. It was identified that for the study area there is no need to perform any mechanical decompaction operation.

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Spatial variability of dendrometric parameters in a native tree Mabea fistulifera Mart. and its relationship with soil physical properties

et al. 2023

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Mabea fistulifera Mart. (common name: canudo-de-pito) belongs to the Euphorbiaceae family and is a native tree species in Brazil showing a high potential to recover degraded lands. This study aimed to evaluate the distribution and spatial correlation between the dendrometric parameters of the M. fistulifera plants and the physical attributes of the soil through geostatistics. The study was carried out at the Paulista State University (UNESP), in the city of Selvíria, MS, Brazil, in a typical dystrophic Red Oxisol with a clayey texture. The following properties were analyzed: for soil, penetration resistance, gravimetric moisture, particle density, and, for plants, circumference and diameter at breast height (measured at 130 cm above the ground), tree height, and total volume of the tree. An experiment grid was introduced with 35 sample points spaced 13 m x 13 m. Two soil samples were taken at each point, at 0.00 - 0.10 m and 0.10 - 0.20 m depth. Descriptive data analysis and spatial dependence analysis were carried out through semivariogram adjustments and kriging maps. The dendrometric properties of the species M. fistulifera and the soil gravimetric moisture content showed spatial dependence. The spherical semivariogram model best explained the spatial structure of circumference at breast height, diameter at breast height, tree volume, and soil gravimetric moisture. There was an emphasis on the correlation between the total volume of the tree as a function of the diameter at breast height, showing a moderate spatial dependence. Furthermore, the tree diameter at breast height proved to be a good indicator for determining the total height of the M. fistulifera tree.

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Dependência e correlação espacial dos atributos de solo em função do arranjo amostral

Cited by 4 publications

References 7 publications

Soil Density Characterization Based on Management Zones in Two Cultivation Areas: Dryland System and the Center-Pivot Irrigation System

Soil Density Characterization Based on Management Zones in Two Cultivation Areas: Dryland System and the Center-Pivot Irrigation System

Characterization of the soil compaction based on the mapping of the apparent electrical conductivity

Spatial variability of dendrometric parameters in a native tree Mabea fistulifera Mart. and its relationship with soil physical properties

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