Distribuição espacial da rugosidade do solo em microparcelas experimentais sob diferentes intensidades de chuva simulada

Siqueira, Glécio Machado; Dafonte, Jorge Dafonte; Vázquez, Eva Vidal; Armesto, Montserrat Valcárcel

doi:10.5039/agraria.v7i4a1783

Cited by 6 publications

(7 citation statements)

References 16 publications

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“…Different elements of the soil, as well as preparation marks and even patterns of relief, contribute, in varying scales, to soil roughness (García Moreno, 2008), which is related to soil intrinsic factors, such as intensity and type of preparation, humidity prior to preparation, amount and type of plant residue, type of soil, and terrain declivity (Siqueira et al, 2012). The two main forms of surface roughness are: roughness at random and soil surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Soil roughness indexes and their relationship with water erosion

Zangiski

Miquelluti

Bertol

et al. 2018

Pesq. agropec. bras.

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The objective of this work was to express soil roughness through statistical, geostatistical, and fractal indexes, comparing and relating them to soil and water losses in different experimental conditions. The study was conducted from 2012 to 2015, in the municipality of Lages, in the state of Santa Catarina, Brazil, in a completely randomized design with two replicates. Three treatments were evaluated: T1, scarified soil at the end of the ryegrass (Lolium multiflorum) crop cycle after removal of the shoot residue; T2, scarified soil at the end of the vetch (Vicia sativa) crop cycle after removal of the shoot residue; and T3, scarified soil without cultivation and without cover. The heights of the microrelief were read with a surface roughness tester with rods. Soil roughness was analyzed through the statistical, geostatistical, and fractal indexes. The fractal dimension and intersection distance showed a clear difference between the treatments with cultivation. All indexes, except R1, are associated with soil losses in the treatments with cultivation. As for water losses, there is only an association with the fractal dimension index and only in the treatment without cultivation.

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Section: Introductionmentioning

confidence: 99%

Soil roughness indexes and their relationship with water erosion

Zangiski

Miquelluti

Bertol

et al. 2018

Pesq. agropec. bras.

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“…The best fitted models were spherical and exponential. The identification of semivariogram models leads to the function of semivariance, through the distances between the sampling points (SIQUEIRA et al, 2012). RC(b) 0.9 1.0 0.9 0.9 0.9 1.0 1.0 0.60 0.33 0.9 Int According to the classification of Cambardella et al (1994), in the vegetation area in the 0.00-0.20 m layer the attributes pH (H 2 O), OM and SPR showed strong spatial variability and for the same area in the 0.20-0.40 m layer, only Mg 2+ and SPR did; the spatial variability for other attributes in the two layers was classified as moderate.…”

Section: Resultsmentioning

confidence: 99%

“…The wide diversity of the results of studies on spatial variability of soil physical attributes is partly associated with the management system adopted (SIQUEIRA et al, 2012;CARLESSO et al, 2019). Thus, studying the spatial variability of soil penetration resistance on the soil surface favors the understanding of how the management adopted in pasture areas affects the soil and, from this, of which techniques should be adopted for the best yield of pastures (MATIAS et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Mapping of soil chemical attributes in pasture areas in the Cerrado of Piauí, Brazil

et al. 2023

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The low natural fertility and compaction of agricultural soils in the Cerrado are the main limitations for agricultural production. Changes in management systems are necessary to optimize the use of natural resources. The objective of this study was to map and evaluate the presence of penetration resistance and its relationship with soil chemical attributes in pasture areas in the Cerrado of Piauí. The experiment was carried out in the municipality of Corrente-PI, Brazil. The area was divided into two sub-areas of 0.5 ha each: the first is remaining vegetation and the second is pasture. Fifty soil samples were collected in the 0.00-0.20 and 0.20-0.40 m layers, with a sampling grid of 10 x 10 m. The pH in water, organic matter, calcium, magnesium, and soil penetration resistance were analyzed. The introduction of animals in the pasture area increased soil compaction by 2%. Chemical attributes, pH, organic matter, calcium and magnesium vary according to soil compaction by 2%. The native forest area has soil penetration resistance at acceptable levels (<2 MPa) and availability of nutrients at adequate levels. The maps of variability of organic matter, calcium, magnesium and penetration resistance showed the heterogeneity of the areas, allowing decisions based on specific management zones, localized application of nutrients and decompaction, and recovery of areas with inefficient management.

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“…A grande maioria dos dados apresentou razão de dependência espacial mediano-alta, não havendo um padrão específico entre os tratamentos com vista à ocorrência de maior ou menor valor de razão de dependência espacial. Este fato descreve como os diferentes sistemas de manejo atuam sobre a variabilidade natural dos atributos do solo (Siqueira et al, 2008: Siqueira et al, 2012.…”

Section: Tratamentounclassified

Variabilidade espacial da resistência à penetração na superfície do solo em sistemas de manejo

Arzeno

Vieira

Siqueira

et al. 2014

Agraria

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O objetivo deste trabalho foi analisar a variabilidade espacial da resistência superficial do solo à penetração no sistema de semeadura direta, escarificado e convencional. O experimento foi conduzido no Centro Experimental Central do Instituto Agronômico, Campinas, SP, Brasil. A resistência superficial do solo à penetração foi medida utilizando-se penetrômetro de bolso modelo CL-700, após a colheita de milho e soja, em parcelas experimentais, com três repetições para cada um dos diferentes sistemas de manejo. Os valores das médias são semelhantes entre as repetições. As maiores diferenças entre os tratamentos podem ser atribuídas às diferenças de umidade do solo no momento das amostragens. A análise espacial permitiu a determinação de linhas de tendência com maior resistência à penetração na superfície do solo principalmente no sistema de semeadura direta. A variabilidade espacial da resistência à penetração na superfície do solo apresentou, em todos os tratamentos, baixa continuidade espacial. Palavras-chave: agregação, compactação, física do solo, preparo do solo Spatial variability of soil mechanical resistance to the surface management systems

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Distribuição espacial da rugosidade do solo em microparcelas experimentais sob diferentes intensidades de chuva simulada

Cited by 6 publications

References 16 publications

Soil roughness indexes and their relationship with water erosion

Soil roughness indexes and their relationship with water erosion

Mapping of soil chemical attributes in pasture areas in the Cerrado of Piauí, Brazil

Variabilidade espacial da resistência à penetração na superfície do solo em sistemas de manejo

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