Variabilidade espacial de atributos físicos de solo coeso sob sistemas de manejo convencional e de plantio direto

Ribeiro, Luiz Antônio; Oliveira, Ismênia Ribeiro de; Dantas, Jussara Silva; Silva, Camila Vieira da; Silva, Grazieli Brito da; Azevedo, James Ribeiro de

doi:10.1590/s0100-204x2016000900071

Cited by 15 publications

(15 citation statements)

References 10 publications

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“…The coefficient of variation (Table 2) revealed low variability for soil bulk density (BD) at all depths and total porosity (TP) at a 0.0 -0.1 m depth, similar to the results of Ribeiro et al (2016), who observed the spatial variability of cohesive soil physical attributes submitted to conventional management and direct seeding methods. Penetration resistance (PR) for 0.1 -0.2 m and 0.2 -0.3 m depth, gravimetric moisture (GM) for all depths, TP for 0.1 -0.2 m and 0.2 -0.3 m depth, and hydraulic conductivity (K 0 ) all had moderate variability.…”

Section: Resultssupporting

confidence: 82%

Spatial variability of soil physical-hydric attributes under bovine trampling in agreste of Pernambuco State, Brazil

et al. 2018

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Soils under pastures suffer physical modifications, in greater or lesser intensity, via the action of animal trampling. Thus, the aim was to evaluate the spatial dependence of soil physical attributes under bovine trampling. The trial was performed at Roçadinho Farm, Agreste of Pernambuco, Brazil, in a 40 x 40 m paddock that was managed with continuous stocking by bovines and 12 AU ha-1 stocking rate. Soil samples were collected before and after grazing using a 6 x 6 m grid, totaling 36 sampling points. At each point, the bulk density, total porosity, moisture, soil penetration resistance at 0.00-0.10, 0.10-0.20, and 0.20-0.30 m depth were estimated, as was the hydraulic conductivity on the saturated soil surface. Descriptive statistics and geostatistics supported the data analysis. A normal distribution was verified for all variables, which were scored as either low or high variability in terms of the variation coefficient. The physical attributes (density, total porosity, moisture, soil penetration resistance and hydraulic conductivity) of the soil sampled presented a strong spatial dependence before and after grazing.

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Section: Resultssupporting

confidence: 82%

Spatial variability of soil physical-hydric attributes under bovine trampling in agreste of Pernambuco State, Brazil

et al. 2018

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“…For these authors, physical properties of the soil that show strong spatial dependency are most influenced by the soil forming factors (intrinsic properties), whereas moderate spatial dependence will probably be the result of agricultural practices such as soil amendment, fertilization, liming, and machinery traffic, among others (extrinsic properties). Similar classification were found by Aquino et al (2014) for clay and total sand fractions and BD; by Ribeiro et al (2016) for BD and TP; by Leão et al (2010) for clay and silt fractions; and by Silva and Lima (2013a) for clay and BD. Lima et al (2006; confirmed that the lower the SDI (the proportion between the nugget effect in relation to the sill), the higher the spatial dependence of the soil physical properties under study will be.…”

Section: Results and Discusionsupporting

confidence: 79%

Sampling Design of Soil Physical Properties in a Conilon Coffee Field

Santos

Gontijo

Silva

et al. 2017

Rev. Bras. Ciênc. Solo

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Establishing the number of samples required to determine values of soil physical properties ultimately results in optimization of labor and allows better representation of such attributes. The objective of this study was to analyze the spatial variability of soil physical properties in a Conilon coffee field and propose a soil sampling method better attuned to conditions of the management system. The experiment was performed in a Conilon coffee field in Espírito Santo state, Brazil, under a 3.0 × 2.0 × 1.0 m (4,000 plants ha -1 ) double spacing design. An irregular grid, with dimensions of 107 × 95.7 m and 65 sampling points, was set up. Soil samples were collected from the 0.00-0.20 m depth from each sampling point. Data were analyzed under descriptive statistical and geostatistical methods. Using statistical parameters, the adequate number of samples for analyzing the attributes under study was established, which ranged from 1 to 11 sampling points. With the exception of particle density, all soil physical properties showed a spatial dependence structure best fitted to the spherical model. Establishment of the number of samples and spatial variability for the physical properties of soils may be useful in developing sampling strategies that minimize costs for farmers within a tolerable and predictable level of error.

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“…Of those papers, 107 reported SWC semivariograms, 19 compared SWC semivariograms within or among long-term land uses or ecosystem types (e.g., agricultural vs. grassland, forest vs. pasture), and only 2 compared SWC semivariograms among soil or residue management practices in crop production fields (Table 1). These two publications are Panosso et al (2009) and Ribeiro et al (2016), who evaluated long-term sugarcane (Saccharum L.) residue management and long-term tillage/cover-crop management of soybean [Glycine max (L.) Merr. ], respectively, in Brazil.…”

mentioning

confidence: 99%

Spatial Response of Near‐Surface Soil Water Contents to Newly Imposed Soil Management

Daigh

Ghosh

DeJong-Hughes

et al. 2018

Agricultural & Env Letters

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Near-surface soil water content (SWC) and its spatial patterns are important for landscape hydrological responses to precipitation as well as our ability to remotely sense and model such responses. Our objective was to measure and evaluate near-surface SWC semivariograms of agricultural fields with newly imposed (i.e., <2 yr) side-by-side soil and residue management practices (i.e., reduced tillage systems and cover crops) in the midwestern United States. Range parameters were consistently smaller when cover crops were planted (20-25 m less) and tillage area and/or intensity was reduced (12-27 m less) compared with no cover crop and chisel plowing, respectively, except in a clayey Vertisol. Nugget and sill parameters did not have consistent trends across soil management practices or sites. These data, although brief and preliminary in scope, provide clear proof of concept that spatial pattern shifts can be clearly detected in newly imposed soil-management systems even though differences in SWC means are not always evident.

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Variabilidade espacial de atributos físicos de solo coeso sob sistemas de manejo convencional e de plantio direto

Cited by 15 publications

References 10 publications

Spatial variability of soil physical-hydric attributes under bovine trampling in agreste of Pernambuco State, Brazil

Spatial variability of soil physical-hydric attributes under bovine trampling in agreste of Pernambuco State, Brazil

Sampling Design of Soil Physical Properties in a Conilon Coffee Field

Spatial Response of Near‐Surface Soil Water Contents to Newly Imposed Soil Management

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