Carbono do solo e atributos de fertilidade em resposta à calagem superficial em plantio direto

Briedis, Cléver; Sá, João Carlos de Moraes; Caires, Eduardo Fávero; Navarro, Jaqueline De Fátima; Inagaki, Thiago Massao; Ferreira, Ademir de Oliveira

doi:10.1590/s0100-204x2012000700018

Cited by 21 publications

(11 citation statements)

References 25 publications

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“…The previous results are corroborated by those obtained by Ebeling et al (2011), Briedis et al (2012, and Matias et al (2015), who found a positive correlation between organic carbon (or organic material) and the cation exchange capacity (CEC), where carbon is the main contributor to the increase in the CEC and the increase in nutrient adsorption.…”

Section: Spatial Distributionsupporting

confidence: 69%

Spatialization of Soil Chemical and Physical Attributes in an Agroforestry System, Seropédica, Brazil

Silva

Pereira

Delgado

et al. 2016

CERNE

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ABSTRACT:The purpose of this study was to spatialize the chemical and physical attributes of the soil in an agroforestry system in Seropédica, Rio de Janeiro, Brazil. Thirtyone soil samples were collected from 0-10 cm, 10-20 cm, and 20-40 cm depths, and each sampling point was georeferenced. The pH (in H 2 O), potential acidity (H+Al), calcium (Ca ), sodium (Na + ), potassium (K + ), phosphorus (P), organic carbon (C), cation exchange capacity of the soil (T value), base saturation (V value), total clay, total sand, silt, and density of fine roots were measured. The software ArcGIS 10.2 was used to perform the semivariogram analysis and the fitting of the models, and spatial interpolation was performed using a first-order trend ordinary kriging process with spherical, exponential, and Gaussian spatial models. Based on the results, only the exponential and Gaussian models were fitted to the variables, except for the Mg 2+ and V value variables, which presented no spatial dependence, thus showing a pure nugget effect (PNE). Distribution maps were generated for the variables (except for those exhibiting PNE), which showed correlation between the variables pH and Al 3+, organic carbon and cations, phosphorus and total clay, and silt and sand. Overall, geostatistics could be applied to spatialize the chemical and physical attributes of the soil in the agroforestry system, except in the case of Mg 2+ and the V value. ), sódio (Na + ), potássio (K + ), fósforo (P), carbono orgânico (C), capacidade de troca catiônica do solo (Valor T), saturação por bases (Valor V), argila total, areia total, silte e densidade de raízes finas. O software ArcGIS 10.2 foi utilizado para fazer a análise semivariográfica e o ajuste dos modelos, e posteriormente, foi empregado a interpolação espacial através da Krigagem Ordinária de primeira ordem de três modelos espaciais, esférico, exponencial e gaussiano. De acordo com os resultados, apenas os modelos exponencial e gaussiano foram ajustados para as variáveis, exceto para as variáveis Mg 2+ e Valor V, pois não apresentaram dependência espacial, assim expressando efeito pepita puro (EPP). Foram gerados os mapas de distribuição para as variáveis (exceto para aquelas que exibiram EPP), onde ocorreu uma correlação entre as variáveis pH e Al 3+ , carbono orgânico e cátions, fósforo e argila total, e silte e areia. A geoestatística pode ser aplicada para espacializar os atributos químicos e físicos do solo no sistema agroflorestal, exceto no caso do Mg 2+ e Valor V. ESPACIALIZAÇÃO DOS ATRIBUTOS QUÍMICOS E FÍSICOS DO SOLO EM UM

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Section: Spatial Distributionsupporting

confidence: 69%

Spatialization of Soil Chemical and Physical Attributes in an Agroforestry System, Seropédica, Brazil

Silva

Pereira

Delgado

et al. 2016

CERNE

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“…Rodrighero et al, (2015), when evaluating the superficial application under no-tillage system, where an improvement of Mg contents were observed in the soil profile, due to the formation of MgSO4 0 complex, which has high mobility in the soil. Similar results were also found by Briedis et al, (2012), when evaluating areas under no-tillage systems observed improvements in this attribute in the topsoil, with reduction as depth was increased. Regardless of the gypsum dose, the application of limestone promoted a slight increase in the CEC in the topsoil (0-20 cm); however at the 20-40 cm depth, no significant effect of the application of these inputs (Figures 3a, 3b) was observed.…”

Section: First Agricultural Cyclesupporting

confidence: 85%

Influence of Limestone and Gypsum Application on Chemical Attributes of Dystrophic Yellow Latosol Soil and Corn Yield in Eastern Amazon

Costa¹,

Brasil²,

Júnior³

2020

JAS

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The objective of this study was to evaluate changes in the chemical attributes of the soil caused by the use of limestone associated or not to with gypsum in no-tillage system. The experiment was conducted on a dystrophic Yellow Latosol in Pará state, Brazil. The experimental design was in randomized blocks in split plots with three replications. The treatments consisted of five doses of limestone (0, 1, 2, 3 and 4 t ha -1 ), with and without gypsum (0, 0.5 and 1 t ha -1 ). Soil samples were collected at depths of 0-20 and 20-40 cm. There was a significant effect on the analyzed variables at both depths. The doses of 3.64 and 2.19 t ha -1 of limestone associated with 0.5 t ha -1 of gypsum, were responsible for the largest increase in soil calcium content in the 0-20 and 20-40 cm layers, respectively. The highest increase in Ca + Mg content was found at 3.63 t ha -1 limestone combined with 0.5 t ha -1 gypsum. It was observed that 3.13 t ha -1 of limestone combined with 0.5 t of gypsum increased soil CEC. The 2.89 t ha -1 dose of limestone combined with 0.5 t of gypsum contributed to the increase in base saturation (V%). The use of limestone and gypsum Journal of Agricultural Studies 364 promotes soil chemical conditions, as reflected by increased corn yield when compared with control (no treatment) plots.

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“…With increasing lime dose, decreasing ΔpH values were observed. However, this result does not necessarily imply that increasing lime dose decreased soil CEC, in contrast the majority of authors (Alleoni et al, 2005;Santos et al, 2010;Briedis et al, 2012;Calonego et al, 2012). This finding is due to the short period of time (180 days) allowed for lime hydrolysis before soil sampling and subsequent analysis.…”

Section: δPh and Ph Pzcmentioning

confidence: 85%

Short-term effects of liming on chemical attributes of tropical sandy soil and soybean (Glycine max L.) yield

et al. 2019

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Lime application is the most appropriate technique to raise soil pH, decrease Al3+ toxicity and increase Ca2+ and Mg2+ contents in acidic tropical and subtropical moist soils. The objective of this research is to evaluate changes in chemical attributes and soybean yield in sandy soil after lime incorporation. The soil was classified as a typical Quartzipsamments cultivated with (Brachiaria decumbens Stapf) pasture, and its degradation state was classified as strong. The experimental design was a randomized block with six replicates and four lime doses (0, 2, 4 and 8 Mg ha-1). The soil in the area was prepared with one plowing and two harrowings, followed by lime application and two more harrowings to incorporate the lime up to 0.2 m depth. The dependent variables analyzed were soybean yield; numbers of pods filled, pods not filled, and total pods and soil pH in water, CaCl2 and KCl. All parameters were measured at depth of 0.0-0.1, 0.1-0.2 and 0.2-0.3 m. The increase of soil pH by the different lime rates were observed just in 0.0-0.1 and 0.1-0.2 m layers. After 6 months no changes in soil pH were observed in subsoil (0.2-0.3 m). With lower H+ and Al3+ activity and higher basic cation availability, soybean yield was also changed. The maximum soybean yield of 2,929 kg ha-1 was observed with 4.6 Mg ha-1 lime application, although pod number per plant remained constant, independent of limestone dose.

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Carbono do solo e atributos de fertilidade em resposta à calagem superficial em plantio direto

Cited by 21 publications

References 25 publications

Spatialization of Soil Chemical and Physical Attributes in an Agroforestry System, Seropédica, Brazil

Spatialization of Soil Chemical and Physical Attributes in an Agroforestry System, Seropédica, Brazil

Influence of Limestone and Gypsum Application on Chemical Attributes of Dystrophic Yellow Latosol Soil and Corn Yield in Eastern Amazon

Short-term effects of liming on chemical attributes of tropical sandy soil and soybean (Glycine max L.) yield

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