ABSTRACT Conventional tillage and intensive machinery traffic are the major causes of physical soil degradation in sugarcane fields. This study evaluates the impact of adopting conservation management practices during sugarcane planting on soil physical properties and stalk yield of sugarcane in the municipality of Ibitinga, state of São Paulo, Brazil. The experimental design (split-block) included four cover crops and three soil tillage systems, with three repetitions. For comparison purposes, a control treatment was also included (without cover crop and under conventional tillage). Sampling for soil physical analysis was performed in three layers that coincide with soil horizons A (0.00-0.20 m), AB (0.20-0.30 m), and Bt (0.30-0.70 m), during cane-plant and first sugarcane ratoon cycles. The results showed that cultivation of sunn hemp associated with deep subsoiling induced high stalk yield of sugarcane in both production cycles, cane plant (116 Mg ha -1 ) and first ratoon (114 Mg ha -1 ), with a net gain of 11 and 9 Mg ha -1 compared with the control treatment, respectively. However, these results were not sufficient to induce significant differences in sugarcane yield. Nonetheless, the use of sunn hemp and millet, associated with subsoiling (at 0.40 or 0.70 m depth) during sugarcane planting, are promising management strategies to sustain better soil’s physical quality when compared to traditional management, conventional soil tillage without cover crops and/or cash crop, as peanuts, that increase the risks of soil compaction and physical degradation.

ABSTRACT The mechanized management systems used in Brazilian coffee plantations generate heavy machine traffic and lead to the application of loads on the soil that affect the soil structure and lead to widespread compaction. This study aimed to evaluate the influence of mechanized operations on coffee plantations with different deployment times on the soil structural quality of an Ultisol, based on its soil physical properties and soil load-bearing capacity. The experiment was carried out in Muzambinho, São Paulo State, Southeast Brazil, in coffee plantations (Coffee arabica L.) with 3, 16, and 32 years of service. In each area, corresponding to the coffee plantation’s establishment period, soil samples were collected in the planting row (R), under the coffee canopy (UCC), and inter-row center (IRC) at the layers of 0.00-0.10, 0.10-0.20, and 0.20-0.40 m to evaluate soil penetration resistance, bulk density, porosity, wet aggregate stability, and preconsolidation pressure, to model soil load-bearing capacity. The deployment time of the coffee crop was a decisive factor in reducing the deterioration of the soil structure in the row, which was confirmed by better structural quality in the plantations with 16 and 32 years of establishment. Irrespective of crop deployment time, the effects of intensive machinery traffic on the coffee crop in the middle between the rows and in the area under the canopy are similar, resulting in high soil compaction, reflected in soil penetration resistance, soil bulk density, macroporosity, and load-bearing capacity. The longer the deployment time of the coffee cultivation areas (32 and 16 years), the higher the stability of the soil aggregates, and the larger the mean aggregate size.

RESUMO: A construção da usina hidrelétrica de Ilha Solteira, no interior de São Paulo, foi iniciada nos anos 1960, quando foi retirado, em média, 8,60 m de solo em profundidade, dando origem a uma área degradada. Com isso, iniciou-se em 2005 um plano de recuperação da área no município de Selvíria/MS com plantio de espécies vegetais adaptadas ao bioma Cerrado. Assim, este trabalho teve como objetivo avaliar a macrofauna do solo de uma área em processo de recuperação com plantio de diferentes tipos de cobertura vegetal (1- solo nu (testemunha); 2- vegetação nativa de Cerrado; 3- espécie arbórea Astronium fraxinifolium; 4- Astronium fraxinifolium + Canavalia ensiformis; 5- Astronium fraxinifolium + Raphanus sativus; 6- Astronium fraxinifolium + Brachiaria decumbens + lodo de esgoto). A macrofauna de solo foi avaliada em 2005, 2006 e 2007 utilizando o método de coleta direta e contagem manual. Foram determinados: quantidade de espécies e índices de diversidade e uniformidade. As análises de componentes principals (PCA) e de cluster foram utilizadas para interpretação de dados. Os resultados mostraram que o tratamento 6 (Astronium fraxinifolium + Brachiaria decumbens + lodo de esgoto) aumentou a população de macrofauna do solo em aproximadamente 4 a 6 vezes mais que os demais tipos de cobertura vegetal após três anos de avaliação. As análises de PCA e de cluster mostraram aproximação dos dados do tratamento 6 às condições ambientais naturais de Cerrado, indicando ser o tratamento mais adequado para a recuperação do solo degradado.

ABSTRACT: The construction of the hydroelectric power plant of Ilha Solteira, in state of São Paulo, was initiated in the 1960s, when an average, 8.60 m of soil depth was removed, resulting in a degraded area. A plan for the recovery of the area started in 2005 in Selvíria /MS with the use of plant species adapted to the Cerrado biome. This study aimed to evaluate the soil macrofauna of an area under recovery by using different types of soil cover (1- bare soil (control); 2- native Cerrado vegetation; 3- specie Astronium fraxinifolium; 4- Astronium fraxinifolium + Canavalia ensiformis; 5- Astronium fraxinifolium + Raphanus sativus; 6- Astronium fraxinifolium + Brachiaria decumbens + sewage sludge). Soil macrofauna was evaluated in 2005, 2006 and 2007 using the direct collection method and manual counting. Number of species, diversity and uniformity index were determined. Principal component analysis (PCA) and cluster analysis were used for data interpretation. Results showed that treatment 6 (Astronium fraxinifolium+ Brachiaria decumbens+ sewage sludge) increased the soil macrofauna population by approximately 4 to 6 times more than the other types of cover after three years of evaluation. And the PCA and cluster analysis showed the approximation of the data between treatment 6 and Cerrado, which represents the most appropriate treatment for the recovery of the degraded soil.

ABSTRACT: The Random Forest algorithm is a data mining technique used for classifying attributes in order of importance to explain the variation in an attribute-target, as soil CO2 flux. This study aimed to identify prediction of soil CO2 flux variables in management systems of sugarcane through the machine-learning algorithm called Random Forest. Two different management areas of sugarcane in the state of São Paulo, Brazil, were selected: burned and green. In each area, we assembled a sampling grid with 81 georeferenced points to assess soil CO2 flux through automated portable soil gas chamber with measuring spectroscopy in the infrared during the dry season of 2011 and the rainy season of 2012. In addition, we sampled the soil to evaluate physical, chemical, and microbiological attributes. For data interpretation, we used the Random Forest algorithm, based on the combination of predicted decision trees (machine learning algorithms) in which every tree depends on the values of a random vector sampled independently with the same distribution to all the trees of the forest. The results indicated that clay content in the soil was the most important attribute to explain the CO2 flux in the areas studied during the evaluated period. The use of the Random Forest algorithm originated a model with a good fit (R2 = 0.80) for predicted and observed values.

ABSTRACT: The use of data mining is a promising alternative to predict soil respiration from correlated variables. Our objective was to build a model using variable selection and decision tree induction to predict different levels of soil respiration, taking into account physical, chemical and microbiological variables of soil as well as precipitation in renewal of sugarcane areas. The original dataset was composed of 19 variables (18 independent variables and one dependent (or response) variable). The variable-target refers to soil respiration as the target classification. Due to a large number of variables, a procedure for variable selection was conducted to remove those with low correlation with the variable-target. For that purpose, four approaches of variable selection were evaluated: no variable selection, correlation-based feature selection (CFS), chisquare method (χ2) and Wrapper. To classify soil respiration, we used the decision tree induction technique available in the Weka software package. Our results showed that data mining techniques allow the development of a model for soil respiration classification with accuracy of 81 %, resulting in a knowledge base composed of 27 rules for prediction of soil respiration. In particular, the wrapper method for variable selection identified a subset of only five variables out of 18 available in the original dataset, and they had the following order of influence in determining soil respiration: soil temperature > precipitation > macroporosity > soil moisture > potential acidity.

RESUMO O sistema de colheita mecanizado da cana-de-açúcar têm substituido o sistema de queima do canavial devido a preocupações ambientais como a emissão de partículas durante a queima e diversos malefícios ao solo. O impacto dessa prática no potencial de produção de gases do efeito estufa (GEE) no solo ainda demanda estudo. Assim, o presente trabalho quantificou a produção potencial, em 1 g de solo, de gases do efeito estufa em três sistemas de manejo de cana-de-açúcar. As áreas avaliadas foram: uma com histórico de queima do canavial antes da colheita (B) e outras com duas com sistemas de manejo de “cana crua” em dois períodos de implantação - 5 (G-5) e 10 anos (G-10). Um experimento de incubação em laboratório foi montado para avaliar os potenciais de produção de dióxido de carbono (CO2), óxido nitroso (N2O) e metano (CH4) em de 1g de amostras de solo nos diferentes sistemas de manejo de cana-de-açúcar. Os resultados deste estudo demonstram que os sistemas de manejo de cana-de-açúcar apresentaram impacto na produção potencial de CO2 no solo. Além disso, quando dividiu-se os resultados de gases oriundos de áreas convexas e concavas, observou-se diferenças nos padrões de CO2 entre as áreas B e G-10, with greater emission in the G-10 area, possivelmente devido a presença de palhada na superífice do solo.

ABSTRACT Mechanized sugarcane harvest is replacing the historic practice of field burning, due to environmental concerns of the particulate and emissions during burning. However, the impact of these practices on soil greenhouse gas (GHG) production potential is not fully known. Thus, the present work quantified the potential production, in 1 g of soil, of greenhouse gases (GHG) in three systems of sugarcane management. The systems were: area with a history of burning sugarcane before harvest (B) and another with two systems of management of “green sugarcane” in two periods of implantation - 5 (G-5) and 10 years (G-10). A laboratory incubation experiment was used to assess the production potentials of carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4) in 1g of soil samples by the different sugarcane management systems. The results of this study demonstrate that the sugarcane management systems had an impact on the potential production of CO2 in the soil. In addition, when the results of gases were divided from convex and concave areas, differences in CO2 patterns between areas B and G-10 were observed, with greater emission in the G-10 area, probably due the residue on the soil surface.

Resumo Algumas áreas de Terra Preta Arqueológica na Amazônia vêm sendo utilizadas com pastagem o que tem gerado grande preocupação quanto às alterações dos atributos físicos e o estado de agregação do solo. O objetivo deste estudo foi avaliar a variabilidade espacial e as possíveis modificações dos atributos físicos e agregados do solo em terra preta arqueológica sob pastagem. Uma grade de 80 x 56m foi usada e a amostragem realizada em 88 pontos em disposição de 8 x 8m. Nas camadas de 0-0,05, 0,05-0,10 e 0,10-0,20m foram avaliados: a densidade do solo (Ds), carbono orgânico total (COT), estoque de carbono (Est C), diâmetro médio ponderado (DMP), macroporosidade (Macro), microporosidade (Micro) e volume total de poros (VTP). Pelo exame de semivariogramas constatou-se a ocorrência de dependência espacial. Mesmo a área de estudo sendo em pastagem observou-se que os valores de Ds, Macro e VTP, estiveram acima ou abaixo dos valores de referências que podem causar restrição ao crescimento radicular de plantas e à infiltração de água no solo. O DMP e Ds foram dependentes do COT, pois os valores de ambos aumentam ou diminuem de acordo com a camada. Com o aumento da camada do solo, houve o acréscimo do estoque de carbono.

Abstract Some areas of archaeological dark dirt in the Amazon have been used with pasture that has generated great concern regarding changes in soil physical attributes and its aggregation state. The objective of this study was to evaluate the spatial variability and possible modifications of soil physical and aggregate attributes in archaeological black dirt under pasture. A grid of 80 x 56m with 88 sampling points distributed in 8 x 8m were marked. Soil layers at 0-0.05, 0.05-0.10, and 0.10-0.20m were analyzed for: soil density (SD), total organic carbon (TOC), carbon stock (C stock), meanweight diameter (MWD), macroporosity (Macro), microporosity (Micro), and total porosity (TP). From semivariograms tests it was verified the occurrence of spatial dependence. Even with major pasture cover in the study area it was observed that the values of Ds, Macro, and VTP were above or below the reference values, which may cause restriction for root growth of plants and water infiltration in the soil. The DMP and Ds were COT-dependent because values of both increase or decrease depending on the soil layer. When higher the soil layer there was an increase in carbon stock.

RESUMO O cultivo de eucalipto tem se expandido consideravelmente no Brasil, sobretudo em regiões em que os solos apresentam baixa fertilidade, como nos Cerrados brasileiros. Para alcançar maiores produtividades, é fundamental saber a necessidade e o momento adequado para correção do solo. Para auxiliar esse processo de tomada de decisão, modelos matemáticos e computacionais têm sido utilizados e são uma alternativa promissora. O objetivo deste trabalho foi modelar a influência dos atributos físico-químicos do solo e climáticos no desenvolvimento do Eucalyptus urograndis em Neossolo Quartzarênico, por meio da técnica de indução da árvore de decisão. Para isso foram utilizados 30 atributos, sendo 29 preditivos e um atributo-meta ou variável resposta, a saber, a altura do eucalipto. Foram avaliadas quatro abordagens para seleção de atributos: sem seleção, seleção de atributos baseado em correlação (CFS), método do Qui-quadrado (χ2) e Wrapper. Para classificar os dados foi utilizada a técnica de indução de árvore de decisão por meio do software Weka 3.6. As técnicas de mineração de dados através da indução de árvore de decisão permitem o desenvolvimento de um modelo de classificação do desenvolvimento inicial de eucalipto eficiente para previsão de novos casos em diferentes classes de produção, onde o volume individual de madeira (VOL) e o diâmetro altura do peito (DAP) são atributos determinantes para previsão do crescimento do Eucalyptus urograndis, além de atributos químicos do solo como: Magnésio (Mg+2), Fósforo (P), Alumínio(Al+3), potássio (K+), acidez potencial (H+Al) e potencial hidrogeniônico (pH), atributo físico como a resistência do solo à penetração e relacionado ao clima como a temperatura mínima.

ABSTRACT Eucalyptus plantation has expanded considerably in Brazil, especially in regions where soils have low fertility, such as in Brazilian Cerrados. To achieve greater productivity, it is essential to know the needs of the soil and the right moment to correct it. Mathematical and computational models have been used as a promising alternative to help in this decision-making process. The aim of this study was to model the influence of climate and physico-chemical attributes in the development of Eucalyptus urograndis in Entisol quartzipsamment soil using the decision tree induction technique. To do so, we used 30 attributes, 29 of them are predictive and one is the target-attribute or response variable regarding the height of the eucalyptus. We defined four approaches to select these features: no selection, Correlation-based Feature Selection (CFS), Chi-square test (χ2) and Wrapper. To classify the data, we used the decision tree induction technique available in the Weka software 3.6. This data mining technique allowed us to create a classification model for the initial development of eucalyptus. From this model, one can predict new cases in different production classes, in which the individual wood volume (IWV) and the diameter at breast height (DBH) are crucial features to predict the growth of Eucalyptus urograndis, in addition to the presence of chemical soil components such as: magnesium (Mg+2), phosphorus (P), aluminum (Al+3), potassium (K+), potential acidity (H + Al), hydrogen potential (pH), and physical attributes such as soil resistance to penetration and related to climate, such as minimum temperature.

ABSTRACT Ventilation systems are incorporated at intensive poultry farms to control environment conditions and thermal comfort of broilers. The ventilation system operates based on environmental data, particularly measured by sensors of temperature and relative humidity. Sensors are placed at different positions of the facility. Quality, number and positioning of the sensors are critical factors to achieve an efficient performance of the system. For this reason, a strategic positioning of the sensors associated to controllers could support the maintenance and management of the microclimate inside the facility. This research aims to identify the three most representative points for the positioning of sensors in order to support the ventilation system during the critical period from 12h00 to 15h00 on summer days. Temperature, relative humidity and wind speed were measured in four different tunnel ventilated barns at the final stage of the production cycle. The descriptive analysis was performed on these data. The Temperature and Humidity Index (THI) was also calculated. Then, the geostatistical analysis of THI was performed by GS+ and the position of sensors was determined by ordinary kriging. The methodology was able to detect the most representative points for the positioning of sensors in a case study (southeastern Brazil). The results suggested that this strategic positioning would help controllers to obtain a better inference of the microclimate during the studied period (the hottest microclimate), considered critical in Brazil. In addition, these results allow developing a future road map for a decision support system based on 24 h monitoring of the ventilation systems in broiler houses.

ABSTRACT The harvesting system of green sugarcane, characterized by mechanized harvesting and no crop burning, affects soil quality by increasing the remaining straw left on the soil surface after harvesting, thus, contributing to the improvement of physical, chemical, and microbiological soil attributes, influencing CO2 fluxes. This study aimed to evaluate CO2 fluxes and their relation to soil properties in sugarcane crops under different harvesting managements: burned (B), Green harvesting for 5 years (G-5) and Green harvesting for ten years (G-10). For this, a 1 ha sampling grid with 30 points was installed in each area, all located in the Northeast of São Paulo State, Brazil. In each point, CO2 fluxes were measured and the soil was sampled to analyze the microbial biomass, physical (soil moisture and temperature, mean weight diameter, bulk density, clay, macroporosity and microporosity) and chemical characterization (pH, organic C, base saturation and P). The CO2 fluxes were divided into four quantitative criteria: high, moderate, low and very low from the Statistical Division (mean, first quartile, median and third quartile) and the other data were classified according this criterion. The Principal Component Analysis (PCA) was used to identify the main soil attributes that influence CO2 fluxes. The results showed that G-10 CO2 fluxes were 28 and 41 % higher than those in the G-5 and B treatments, respectively. The PCA analysis showed that macroporosity was the main soil attribute that influenced the high CO2 fluxes.

RESUMO Altas pressões de contato aplicadas ao solo resultam em um maior grau de compactação deste, além de promover outros efeitos maléficos. O objetivo deste estudo foi quantificar as áreas e pressões de contato de conjuntos motomecanizados empregados na atividade sucroalcooleira e avaliar as alterações estruturais proporcionadas em um Latossolo Vermelho com e sem cobertura de resíduos vegetais (palha). O delineamento empregado foi o inteiramente casualizado em esquema fatorial do tipo 4 (pneu acoplado no eixo dianteiro, pneu acoplado no eixo traseiro, pneu acoplado a um transbordo agrícola canavieiro e esteira metálica de colhedora de cana de açúcar) x 2 (com e sem palha na superfície). A área de contato (CA) dos rodados foi obtida por três procedimentos: medida analítica da área de uma elipse (CA1); medida digital da área de uma elipse (CA2); e medida da área de contato real (RCA), com recursos digitais. A pressão de contato foi calculada a partir da relação da massa dos eixos de cada conjunto motomecanizado e a respectiva área de contato do rodado. A área de contato obtida de acordo com o procedimento da elipse (CA1 e CA2) é superestimada quando comparada área real, obtida digitalmente (RCA). Os resíduos vegetais diminuem a pressão de contato na interface rodado-solo, devido ao maior aprofundamento das garras do rodado e por consequência, aumento da área de contato. Áreas onde o tráfego das máquinas ocorreu com solo coberto de palha apresentaram menor resistência do solo à penetração, índice de cone e pressão de pré-consolidação, confirmando que o aumento da área de contato produzida pela palha reduziu a pressão aplicada e dissipou a energia de compactação no solo.

ABSTRACT High contact pressures applied to soil result in a greater degree of compaction, in addition to promoting other negative effects. The objective of this study was to quantify contact areas by using different methodologies, and pressures of farm equipment employed in production activity and evaluate structural changes caused in a Red Latosol with the presence and absence of straw cover. The design was completely randomized in a factorial scheme of type 4 (tire on front axle, tire on rear axle, tire on a sugarcane wagon and metallic track of sugar cane Harvester) x 2 (presence and absence of straw). The contact area (CA) of the run was obtained by three procedures: analytical measure of the area of an ellipse (CA1); digital measurement of area of an ellipse (CA2); and measurement of real contact area (RCA), with digital resources. The contact pressure was calculated from the ratio of mass of each machine's axle and the contact area of the run. The contact area obtained according to the procedure of the ellipse (CA1 and CA2) is overrated when compared to actual area obtained digitally (RCA). The straw reduces the contact pressure in the soil, due to the deep tire treads and consequently, increased contact area. Areas where the traffic of the machines occurred with soil covered with the presence of straw showed reduced soil resistance to penetration, cone index and pre-consolidation pressure, confirming that the increased contact area produced by straw reduced the pressure applied and the compression power dissipated in the soil.

ABSTRACT The sugarcane green harvest system, characterized by mechanized harvesting and the absence of crop burning, affects soil quality by increasing crop residue on the soil surface after harvest; thus, it contributes to improving the physical, chemical, and microbiological properties and influences the soil carbon content and CO2 flux (FCO2). This study aimed to evaluate the spatial and temporal variability of soil FCO2 in sugarcane green harvest systems. The experiment was conducted in two areas of sugarcane in São Paulo, Brazil: the first had a 5-year history of sugarcane green harvest (SG-5) and the second had a longer history of 10 years (SG-10). The temporal FCO2 were evaluated in the dry and rainy periods, and spatial variability in the dry period, and related to soil chemical and physical properties, including organic C porosity, bulk density, soil penetration resistance, mean weight diameter of soil aggregates, clay, P, S, Ca, Mg and Fe. The temporal variability indicated no differences between the dry and rainy periods in SG-10, while in SG-5 soil moisture was increased by 33 % in the rainy period. The spatial variability indicated a different pattern from the temporal one, where FCO2 in SG-10 was correlated with soil temperature, air-filled pore space, total porosity, soil moisture, and the Ca and Mg contents; in the SG-5 area, FCO2 was correlated with soil mean weight diameter of soil aggregates and the sulfur content.

ABSTRACT Soils with an A horizon formed by human activity, an anthropogenic A horizon, are found in the Amazon Region. Few studies have examined the spatial distribution of the properties of these soils. We mapped the spatial variability of some soil properties in an area of Archaeological Dark Earth (ADE) in the Brazilian Amazon. A sampling grid was defined over an area of 42 × 88 m under cacao cultivation in which sampling points were established at a spacing of 6 × 8 m, for a total of 88 points. Samples were collected from the 0.00-0.05, 0.05-0.10, 0.10-0.20, and 0.20-0.30 m depth layers. Soil texture, aggregate stability, and organic carbon (OC) analyses were performed on disturbed soil samples. Undisturbed samples were used to determine soil macroporosity (Macro), microporosity (Micro), total porosity (TP), and soil resistance to penetration (RP). The results were analyzed by descriptive statistic, Pearson correlation (p<0.01), and geostatistics. Soil bulk density, total pore volume, and geometric mean diameter are dependent on the total amount of OC in the ADE area. Increased soil bulk density and RP are proportional to a decrease in OC content and lower Micro and TP. Moreover, soil resistance to penetration is influenced by soil water and clay content with depth.

Machinery traffic in sugarcane (Saccharumsp.) plantations reduces soil physical quality, and hinders both root development and crop yield. We evaluated the physical quality of an Oxisol and the development of sugarcane roots under controlled traffic. The treatments assessed were: without controlled machinery traffic (WCT), controlled traffic by adjusting the tractor and infield wagons to a 3.0 m track width with the operator guiding the machinery (CT1) and the previous treatment using real time kinematic / global positioning system (RTK / GPS) precision auto steer (CT2). Soil samples were collected from the planting rows, seedbed and inter-row center to determine the least limiting water range (LLWR) and soil porosity from scanned 2-D images. The root dry mass was sampled from monoliths, separated from the soil by washing through a 2-mm sieve and dried in an oven. A higher LLWR was observed in the planting row under CT1 and CT2 than under WCT. The planting row had a predominance of complex pores with a diameter > 500 µm in the 0.15-0.27 m depth layer under CT1 and CT2. In the planting rows under WCT, the root dry mass was only 44 % of that measured under CT2. Benefits regarding soil physical quality and growth roots were observed when the tractor-wagon track width was adjusted based on the sugarcane spacing using either precision auto steering or manual operation of the machinery.

O objetivo deste trabalho foi determinar a capacidade de suporte de carga (CSC) de Latossolo Vermelho e, por meio de modelos de compressibilidade, relacioná-la às interações rodado-solo em sistema de manejo com um e três ciclos de cultivo de cana-de-açúcar, com colheita mecanizada. As avaliações da CSC foram realizadas em amostras de solo indeformadas, coletadas na linha de plantio e no canteiro, em quatro camadas: 0,00-0,10, 0,10-0,20, 0,20-0,30 e 0,30-0,40 m. Determinou-se a área de contato dos rodados com o solo, para a estimativa da pressão exercida pelas máquinas agrícolas no solo. As pressões de preconsolidação foram usadas para determinar a CSC. O sistema com três ciclos apresentou maior CSC do que o sistema com apenas um ciclo. A capacidade de suporte de carga do solo avaliado na faixa de friabilidade é maior que as pressões de contato aplicadas ao solo pelos rodados das máquinas agrícolas estudadas.

The objective of this work was to determine the load support capacity (LSC) of an Oxisol and, through compressibility models, relate it to wheel-soil interactions under management systems with one and three sugarcane crop cycles, with mechanized harvest. LSC evaluations were carried out on undisturbed soil samples, collected at planting row and bed, in four layers: 0.00-0.10, 0.10-0.20, 0.20-0.30, and 0.30-0.40 m. The contact area between wheels and soil was determined in order to estimate the contact pressure by agricultural machinery on the soil. Pre-consolidation pressures were used to determine LSC. The system with three cycles showed higher LSC than the system with only one cycle. The load support capacity of the soil evaluated in the range of friability is greater than the contact pressures applied to the soil by the wheels of the studied agricultural machines.