ABSTRACT Introduction: Patient blood management (PBM) programs are associated with better patient outcomes, a reduced number of transfusions and cost-savings The Clinical Decision Support (CDS) systems are valuable tools in this process, but their availability is limited in developing countries This study assesses the feasibility and effectiveness of an adapted CDS system for low-income countries. Methods: This was a prospective study of the PBM program implementation, in a 200-bed tertiary hospital, between February 2019 and May 2020. Outcome measures were red blood cell (RBC), fresh frozen plasma (FFP) and platelet unit transfusions, the transfusion of a single unit of red blood cells and an RBC adequacy index (RAI). Results: Comparing the post-PBM program era with the pre-PBM system era, there was a decrease in red blood cell transfusions (p = 0.05), with an increase in single unit red blood cell transfusions (p = 0.005) and RAI (p < 0.001). Conclusions: The PBM programs, including electronic transfusion guidelines with pre-transfusion medical auditing, was associated with improved transfusion practices and reduced product acquisition-related costs.

ABSTRACT The concept of production environments, which is widely used to classify the yield potential of soils, and magnetic susceptibility (MS), is emerging as an important tool for mapping ultra-detailed areas. Given this background, this paper aims to evaluate the use of MS as a tool for the identification of areas with different potential the enhancing of sugarcane yield and quality, and the allocation of varieties. An area of 445 ha was sampled at 1 point every 7 ha, and 14 points were determined for stratified sampling following the top of the landscape. Particle size and MS of samples at depths of 0.0-0.2 and 0.2-0.4 m were analyzed. The data on yield and quality of raw material were obtained from a nine crop season database and biometry performed in the 2018/19 crop season. The multivariate analysis of historical results showed the formation of three groups with different yield and quality potential, with a difference of up to 17.28 mg of cane per hectare between the group with the highest and lowest potential, based on soil MS. An analysis of the performance of the varieties involved showed that MS is effective in identifying areas with different potential for sugarcane yield and quality, differentiating by up to 34.5 % the performance of the same variety in different MS classes and by up to 38.5 % the performance of different varieties in similar MS classes. Thus, MS is an effective tool for identifying areas with different potential for sugarcane yield and quality, and can be used for allocating varieties in the field.

ABSTRACT The elaboration of maps to characterize the spatial variability of soil attributes assists in the strategic planning and decision making of agricultural managers. Precision and accuracy of maps are related to the ideal sampling density to characterize the variability pattern. This study was conducted with the aim of identifying the sampling density to represent the variability of soil physical quality using attributes with different magnitudes of variation in an area cultivated with coffee. Three approaches were used to find the most adequate sampling density (geostatistical analysis, percentage of error associated with the sampling density, and coefficient of variation). A total of 145 soil samples were collected at a depth of 0-0.20 m at the crossing points of a regular grid with a spacing of 50 m. The percentage of clay, silt, and sand, macroporosity, microporosity, total pore volume, and soil density were determined. The data were submitted to descriptive statistical analysis. For elaborating the variability maps with up to 15% error and soil attributes with a coefficient of variation close to 50%, a sampling density of 3 points ha−1 is suggested.

RESUMO. O uso de técnicas estatísticas a fim de avaliar o comportamento de atributos do solo é uma importante ferramenta na determinação de manejo e uso adequado de solos. Sendo assim, o objetivo deste trabalho foi avaliar conjuntamente os atributos físicos, químicos e a suscetibilidade magnética do solo na caracterização de três ambientes e definir quais atributos apresenta potencial no estudo de indicadores de mudanças ambientais, por meio de estatísticas multivariadas. O estudo foi realizado em três áreas, sendo uma área com terra preta arqueológica (TPA) (cultivada com milho), uma com floresta e uma com pastagem. Nestas áreas foram coletadas 64 amostras de solos deformadas e indeformadas em malhas de 70 x 70m com espaçamento regular de 10m nas profundidades de 0,0-0,2 e 0,4-0,6 m para determinação dos atributos químicos (fertilidade), físicos (textura) e suscetibilidade magnética. Os dados foram analisados submetendo-os a técnicas de estatísticas multivariadas. A TPA apresenta comportamento diferenciado da pastagem e floresta, sendo que os atributos químicos apresentam maior interação para TPA em razão da alta fertilidade de horizontes antrópicos. Os atributos possíveis indicadores de mudanças ambientais são o cálcio para TPA, acidez potencial para a floresta e argila para a pastagem.

ABSTRACT. The use of statistical techniques to evaluate soil attribute behaviour is an important tool for choosing the most adequate form of soil management. Thus, the aim of this study was to jointly assess the physical and chemical attributes and the magnetic susceptibility characteristics of three environments and to use multivariate statistics to define which attributes have the greatest potential as environmental change indicators. The study was conducted in three areas: one with archaeological black earth (and planted maize); one with pasture; and one of the forest. Sixty-four (64) deformed and non-deformed soil samples each were collected within these areas, with a 70 x 70 m grid spaced every 10 meters at depths of 0.0-0.2 and 0.4-0.6 m, to determine the chemical attributes (fertility), as well as the physical attributes (texture) and magnetic susceptibility. The data were analyzed through multivariate statistics. The archaeological dark earth areas have different behaviours between pastures and forests: chemical attributes have greater interaction in archaeological dark earth due to the high fertility of the anthropic horizons. The attributes that may indicate environmental changes are calcium, potential acidity and clay for archaeological dark earth, forest and pasture areas, respectively.

ABSTRACT The interest in new techniques to support digital soil mapping (DSM) is increasing. Numerous studies pointed out that the measure of magnetic susceptibility (MS) can be extremely useful in the identification of properties related with factors and processes of soil formation, applied to soil mapping. This study addressed the effectiveness of magnetic soil susceptibility to identify and facilitate the distinction of different pedogenic environments of a representative hillslope in the highland Planalto Médio in the state of Rio Grande do Sul (RS), Brazil. In a 350-ha area in the municipality of Santo Augusto, RS, a representative transect was selected, trenches opened for soil characterization and 29 grid points marked at regular distances of 50 m, where soil samples were collected (layers 0.00-0.05, 0.05-0.15, 0.15-0.30, and 0.30-0.60 m) to analyze soil properties. Data from the transect samples were subjected to descriptive statistics. Limits of the pedogenetic environments along the slope were identified by the Split Moving Window (SMW) Boundary Analysis. The combined use of soil magnetic susceptibility and the SMW technique was effective in identifying different pedogenetic environments in the study area.

Resumo O objetivo deste trabalho foi avaliar o uso da susceptibilidade magnética para caracterizar a variabilidade espacial dos atributos do solo e identificar áreas com diferentes potenciais de produção de cana-de-açúcar (Saccharum spp.). Foram coletadas amostras em 110 pontos (1 por cada 7 ha), nas camadas de 0,00-0,20 e 0,20-0,40 m, para determinação da suscetibilidade magnética e de atributos físicos e químicos do solo. O teor de fibra, a polarização da sacarose (POL) e a produtividade da cana-de-açúcar foram determinados em 33 pontos. O modelo de variabilidade espacial da susceptibilidade magnética foi 63 e 22% mais acurado em delimitar o potencial do solo para produção da cana-de-açúcar que os atributos físicos e químicos do solo, nas camadas de 0,00-0,20 e de 0,20-0,40 m de profundidade, respectivamente. O mapa da variabilidade espacial da susceptibilidade magnética apresentou forte correlação com o conteúdo de argila (0,83 e 0,89, respectivamente, para as camadas) e de areia (-0,84 e -0,88); moderada correlação com a matéria orgânica (-0,25 e -0,35), a soma de bases (-046 e 0,37), a capacidade de troca catiônica (0,22 e 0,47), o pH (-0,52 e 0,13) e a POL (0,43 e 0,53); e fraca correlação com a produtividade da cana-de-açúcar (0,26 e 0,23). A susceptibilidade magnética pode ser utilizada para caracterizar a variabilidade espacial dos atributos do solo e para identificar áreas com diferentes potenciais para produção de cana-de-açúcar.

Abstract The objective of this work was to evaluate the use of magnetic susceptibility for characterizing the spatial variability of soil attributes and identifying areas with different potentials for sugarcane (Saccharum spp.) production. Samples were collected at 110 points (1 per 7 ha) in the layers of 0.00-0.20 and 0.20-0.40 m, to determine the magnetic susceptibility and physical and chemical attributes of the soil. Fiber content, sucrose polarization (POL), and sugarcane yield were determined in 33 points. The spatial variability model for magnetic susceptibility was 63 and 22% more accurate in delimiting soil potential for sugarcane production than soil physical and chemical attributes at the 0.0-0.2 and 0.2-0.4-m layers, respectively. The spatial variability map for magnetic susceptibility was strongly correlated with clay (0.83 and 0.89, respectively, for the layers) and sand contents (-0.84 and -0.88); moderately correlated with organic matter (-0.25 and -0.35), sum of bases (-0.46 and 0.37), cation exchange capacity (0.22 and 0.47), pH (-0.52 and 0.13), and POL (0.43 and 0.53); and weakly correlated with sugarcane yield (0.26 and 0.23). Magnetic susceptibility can be used to characterize the spatial variability of soil attributes and to identify areas with different potentials for sugarcane production.

Resumo O objetivo deste trabalho foi verificar a eficácia da cor do solo na identificação de áreas com diferentes potenciais produtivos e qualidade de café, em Argissolo Vermelho-Amarelo desenvolvido de arenito, no Planalto Ocidental Paulista, no Estado de São Paulo. Coletaram-se 173 amostras em 39 ha, para a determinação de matiz, valor, croma e índice de avermelhamento do solo, com base nos dados da espectroscopia de reflectância difusa (ERD). Avaliaram-se, também, a produtividade e a qualidade do fruto de café, e calculou-se o índice de diagnose foliar (DRIS). A maior correlação espacial observada pelo variograma cruzado ocorreu entre matiz e DRIS, em pontos distantes em até 497 m. A menor correlação espacial foi observada em croma e produção, em pontos distantes em até 207 m. As áreas com o maior potencial de produtividade (20 a 33 sacas por hectare) apresentaram matiz entre 6,99 e 7,06, croma entre 5,00 e 5,08 e valor entre 4,40 e 4,45. As áreas com o menor potencial de produtividade (3 a 7 sacas por hectare) apresentaram matiz entre 7,27 e 7,68, croma entre 5,20 e 5,28 e valor entre 4,51 e 4,67. Nestes locais, o teor de argila foi de 16 g kg-1, os teores de P variaram entre 65 e 75 mg dm-3, e a soma de bases estava entre 56 e 58 mmolc dm-3. O uso da cor determinada por ERD é eficaz para identificar áreas com diferentes potenciais produtivos e qualidade de café, com precisão de 61 a 97%.

Abstract The objective of this work was to verify soil color effectiveness for the identification of areas with different yield potentials and coffee quality, in an Ultisol developed from sandstone, in Planalto Ocidental Paulista, in the state of São Paulo, Brazil. One hundred seventy-three samples were collected from 39 ha, for the determination of hue, value, chroma, and the soil redness index, based on data of diffuse reflectance spectroscopy (DRS). Productivity and quality of coffee fruit were also evaluated, and the leaf diagnosis index (DRIS) was calculated. The highest spatial correlation, observed in the cross variogram, occurred between hue and DRIS in points up to 497 m apart. The lowest spatial correlation was observed for chroma and production, in points spaced by up to 207 m. The areas with the highest yield potential (20 to 33 bags per hectare) showed hue between 6.99 and 7.06, croma between 5.00 and 5.08, and value between 4.40 and 4.45. The areas with the lowest productivity potential (3 to 7 bags per hectare) showed hue between 7.27 and 7.68, chroma between 5.20 and 5.28, and value between 4.51 and 4.67. In these places, clay content was of 16 g kg-1, P levels varied between 65 and 75 mg dm-3, and the sum of bases was between 56 and 58 mmolc dm-3. The use of the color determined by DRS is effective to identify areas with different productive potentials and coffee quality, with 61 to 97% accuracy.

ABSTRACTSoil CO2 emissions (fCO2) in agricultural areas have been widely studied in global climate change research, but its characterization and quantification are restricted to small areas. Because spatial and time variability affect emissions, tools need to be developed to predict fCO2 for large areas. This study aimed to investigate soil magnetic susceptibility (MS) and its correlation with fCO2 in an agricultural environment. The experiment was carried out on a Typic Eutrudox located in Guariba-SP, Brazil. Results showed that there was negative spatial correlation between fCO2 and the magnetic susceptibility of Air Dried Soil (MSADS) up to 34.3 m distant. However, the fCO2 had no significant correlation with MSADS, magnetic susceptibility of sand (MSSAND) nor clay (MSCLAY). However, MSADS could be a supplemental mean of identifying regions of high fCO2 potential over large areas.

A avaliação da incerteza espacial das predições das perdas de nutrientes por erosão, associada aos modelos de paisagem, é importante ferramenta na análise e no planejamento conservacionista do solo. O objetivo deste trabalho foi avaliar a incerteza espacial e o local na predição das taxas de empobrecimento do solo por nutrientes (P, K, Ca e Mg) em razão da erosão hídrica em dois sistemas de colheita da cana-de-açúcar (cana crua e queimada), utilizando-se a simulação sequencial gaussiana (SSG). O estudo foi realizado em uma área de 200 ha, localizada em Tabapuã, Estado de São Paulo, sudeste do Brasil. Uma malha de amostragem regular foi estabelecida na área, com intervalos equidistantes de 50 m, totalizando 626 pontos. A taxa de empobrecimento do solo foi calculada com base na relação entre concentração dos nutrientes no sedimento erodido e os atributos químicos do solo original, ponto a ponto. Os dados foram submetidos à análise estatística descritiva e geoestatística. A taxa média de empobrecimento do solo para todos os nutrientes avaliados foi superior no cenário de cana queimada em relação ao cenário de cana crua (teste t-Student; p<0,05). Em ambos os cenários, a ordem da perda dos nutrientes foi: Ca>Mg>K>P. Áreas com maior taxa de empobrecimento do solo foram relacionadas à maior declividade da paisagem. As menores incertezas estão associadas às áreas com maiores taxas de empobrecimento do solo e declividades. Por sua vez, as maiores incertezas estão associadas às áreas de transição entre as pedoformas côncava e convexa.

The assessment of spatial uncertainty in the prediction of nutrient losses by erosion associated with landscape models is an important tool for soil conservation planning. The purpose of this study was to evaluate the spatial and local uncertainty in predicting depletion rates of soil nutrients (P, K, Ca, and Mg) by soil erosion from green and burnt sugarcane harvesting scenarios, using sequential Gaussian simulation (SGS). A regular grid with equidistant intervals of 50 m (626 points) was established in the 200-ha study area, in Tabapuã, São Paulo, Brazil. The rate of soil depletion (SD) was calculated from the relation between the nutrient concentration in the sediments and the chemical properties in the original soil for all grid points. The data were subjected to descriptive statistical and geostatistical analysis. The mean SD rate for all nutrients was higher in the slash-and-burn than the green cane harvest scenario (Student’s t-test, p<0.05). In both scenarios, nutrient loss followed the order: Ca>Mg>K>P. The SD rate was highest in areas with greater slope. Lower uncertainties were associated to the areas with higher SD and steeper slopes. Spatial uncertainties were highest for areas of transition between concave and convex landforms.

A identificação de padrões de variabilidade dos atributos do solo permite o uso e a ocupação do solo de maneira sustentável. O objetivo deste trabalho foi delimitar áreas de manejo específico utilizando ferramentas matemáticas, suscetibilidade magnética e modelos de paisagem. A área de estudo localiza-se no município de Guariba, SP. Escolheu-se uma área de 110 ha, onde foram identificadas e mapeadas três superfícies geomórficas (I, II e III). Na área, foram coletadas 204 amostras de solo em uma transeção, nas profundidades de 0,00-0,20 e 0,60-0,80 m. Foram determinados o pH em CaCl2, os teores de areia, argila, matéria orgânica, P, Ca, Mg, K, H+Al, e calculados SB, CTC e V. A suscetibilidade magnética (SM) foi medida com o auxílio de uma balança analítica. Os limites matemáticos da técnica Split Moving Windows Dissimilarity Analysis (SMWDA) utilizando as informações da suscetibilidade magnética ficaram próximos aos limites de campo identificados com base nos modelos de paisagem. A utilização conjunta da suscetibilidade magnética, dos modelos matemáticos e de paisagem permitiu identificar diferentes áreas de manejo, locais com diferentes teores de argila e níveis de fertilidade do solo. A susceptibilidade magnética pode ser adotada como alternativa para identificar e mapear unidades de manejo.

The identification of variability patterns through soil properties allows land use and occupation in a sustainable manner. The aim of this study was to ascertain the potential of magnetic susceptibility of the soil and landscape models in defining areas for specific management practices through the use of mathematical tools. The study area is in the municipality of Guariba, SP, Brazil. We chose an area of 110 ha in which three geomorphic surfaces (I, II, and III) had been identified and mapped. In this area, we collected 204 soil samples in a transect at depths of 0.00-0.20 and 0.60-0.80 m. We determined pH in CaCl2, and quantified the contents of sand and clay, organic matter, P, Ca, Mg, K, H+Al, and calculated BS, CEC, and V. Magnetic susceptibility (MS) was measured with the aid of an analytical balance. The mathematical limits of the split moving-windows dissimilarity analysis (SMWDA) technique, using the information from magnetic susceptibility, coincided with the field boundaries identified based on the landscape models. The combined use of magnetic susceptibility, mathematical modeling, and landscape models allowed faster and less expensive identification of different management areas, locations with different levels of clay content and soil fertility levels. Magnetic susceptibility may be adopted as an alternative for identification and mapping of management units.

O objetivo deste trabalho foi avaliar a possibilidade de se mapear o fósforo adsorvido por meio da avaliação da cor e da suscetibilidade magnética do solo. O experimento foi realizado em área de cana-de-açúcar com 380 ha, que compreendia quatro tipos de Latossolos, com diferentes texturas e fertilidades naturais. Foram coletadas 241 amostras de solo, na profundidade de 0,00-0,25 m. O índice de avermelhamento do solo foi calculado a partir dos valores de matiz, valor e croma das amostras, obtidos com espectroscopia de reflectância difusa. Foram ajustados modelos de regressão entre o fósforo adsorvido e a suscetibilidade magnética ou o índice de avermelhamento dos solos. A dependência espacial dos dados foi avaliada por meio de geoestatística. A suscetibilidade magnética correlaciona-se significativamente ao fósforo adsorvido, o que possibilita seu uso como componente de funções de pedotransferência para quantificação indireta do fósforo adsorvido ao solo. O índice de avermelhamento e a suscetibilidade magnética apresentam dependência espacial com o fósforo adsorvido. A suscetibilidade magnética e o índice de avermelhamento dos solos, avaliado pela espectroscopia de reflectância difusa, podem auxiliar no mapeamento e na identificação de áreas com diferentes potenciais de adsorção de fósforo.

The objective of this work was to evaluate the possibility of mapping adsorbed phosphorus through soil color and magnetic susceptibility. The experiment was done in a 380-ha sugarcane area, which included four types of Oxisols, with different texture and natural fertility. Two hundred and forty-one soil samples were collected at 0.00-0.25-m depth. The soil redness index was calculated from sample values of hue, value, and chroma, obtained with diffuse reflectance spectroscopy. Regression models were adjusted between adsorbed phosphorus and soil magnetic susceptibility or redness index. Data spatial dependence was evaluated with geostatistics. Magnetic susceptibility is significantly correlated to adsorbed phosphorus, which allows it to be used as a component in pedotransfer functions for indirect quantification of soil adsorbed phosphorus. The redness index and the magnetic susceptibility show spatial dependency with adsorbed phosphorus. Soil magnetic susceptibility and redness index, evaluated with diffuse reflectance spectroscopy, can aid in the mapping and identification of areas with different phosphorus adsorption potential.

Soil CO2 emission (FCO2) is one of the main sources of carbon release into the atmosphere. Moreover, FCO2 is related to soil attributes governing the transfer of gases from soil to the atmosphere. This study aimed firstly to describe the spatial variability of hematite (Hm), goethite (Gt), iron extracted with sodium dithionite-citrate-bicarbonate (Fed) contents, soil CO2 emission (FCO2) and free-water porosity (FWP) and secondly, to develop statistical models to predict the above mentioned factors in an Oxisol cultivated under manual harvesting of sugarcane (Saccharumspp.) in southeastern Brazil. The study was conducted on an irregular 50 m × 50 m grid containing 89 points, each 0.5-10 m apart. The 0-0.1 m soil layer at each sampling point was used to assess soil FCO2, moisture and total pore volume. The results were subjected to descriptive statistical and geostatistical analyses using auto- and cross-semivariograms. All soil attributes exhibited a spatial dependence structure and the experimental semivariograms fitted spherical and exponential models. The Gt content was the individual attribute that exhibited the highest linear and spatial correlation, especially with FCO2. We were able to use diffuse reflectance spectroscopy to map large areas, which allows for easy identification and estimation of soil attributes such as FCO2 and FWP. Geostatistical techniques faciltate the interpretation of spatial relationships between soil respiration and the examined properties.

Os metais pesados podem ser encontrados naturalmente em solos, em baixas concentrações, podendo ter seus teores intensificados por meio de ações antrópicas, tornando-se um dos entraves no manejo de solos tropicais. Esses elementos químicos podem ser encontrados na constituição de adubos orgânicos e inorgânicos, inseticidas, fungicidas, rejeito de mineração e lixo urbano, podendo causar sérios danos ao ambiente e à saúde humana. Nesse sentido, estudos de adsorção são imprescindíveis na avaliação do comportamento de metais pesados no solo. O objetivo deste trabalho foi avaliar a influência dos atributos químicos, granulométricos e mineralógicos sobre a adsorção de Cd, avaliados pelos modelos de Langmuir e de Freundlich, em Latossolos que sofreram ou não ação antrópica. As amostras de solo foram coletadas da camada superficial, 0,00-0,20 m, sendo realizadas análises químicas, granulométricas e mineralógicas. No estudo de adsorção, foram usadas as concentrações 0, 5, 25, 50, 100, 200, 300 e 400 µg L-1 de Cd na forma de Cd(NO3)2. Para a construção das isotermas de adsorção, utilizaram-se os modelos matemáticos empíricos de Langmuir e Freundlich. Os dados obtidos foram analisados por meio de técnicas estatísticas multivariadas, Análise de Agrupamento e Análise de Componentes Principais; no experimento de adsorção os dados ajustaram-se aos modelos de Langmuir e Freundlich. Os solos com menor relação goethita/hematita e maior capacidade de troca de cátions e pH apresentaram maior capacidade máxima de adsorção de Cd.

Heavy metals are found naturally in soils at low concentrations, but their content may be increased by human activity, making them one of the barriers in management of tropical soils. These chemical elements can be found in the composition of organic and inorganic fertilizers, insecticides, fungicides, mine tailings, and urban waste, and may cause serious damage to the environment and human health. Thus, adsorption studies are essential in assessing the behavior of heavy metals in the soil. The objective of this study was to evaluate the influence of soil chemical, particle size, and mineralogical properties on adsorption of cadmium (Cd), evaluated by Langmuir and Freundlich models, in Latossolos (Oxisols) with or without human activity. Soil samples were collected from the surface layer, 0.00-0.20 m, and chemical, particle size, and mineralogical analyzes were performed. In the adsorption study, concentrations of 0, 5, 25, 50, 100, 200, 300, and 400 µg L-1 of Cd were used in the form of Cd(NO3)2. The empirical mathematical models of Langmuir and Freundlich were used for construction of adsorption isotherms. Data were analyzed by means of multivariate statistical techniques, Cluster Analysis and Principal Component Analysis. The data from the adsorption experiment showed a good fit to the Langmuir and Freundlich models. Soils with a lower goethite/hematite ratio and greater cation exchange capacity and pH, showed higher maximum adsorption capacity of Cd.

A demanda nacional e internacional por mapas de atributos do solo tem aumentado. Os objetivos deste trabalho foram caracterizar e associar a variabilidade da granulometria, os atributos químicos e a cor de solos coesos a diferentes formas de paisagem, em áreas agrícolas e de vegetação nativa, por meio de técnicas geoestatísticas. Para a instalação do experimento, foram escolhidas três áreas representadas por uma área cultivada com soja e, contígua a essa, uma com cobertura vegetal remanescente de três feições de cerrado, designadas de Cerradão (A), Cerrado (B) e Campo Cerrado (C). As áreas A e B estão localizadas em pedoforma côncava e a área C, na convexa. Em cada área, foram estabelecidas malhas de amostragem com 121 pontos; nas áreas com cobertura vegetal construíram-se transeções com cinco pontos espaçados em 20 m. Os maiores alcances médios, considerando ambas as profundidades avaliadas, foram encontrados para a área A, sendo de 115 m para granulometria, 157 m para atributos químicos e 168 m para a cor do solo. A área B apresentou alcances médios de 95, 64 e 160 m para granulometria, atributos químicos e cor do solo, respectivamente. A área C, por sua vez, exibiu alcances médios de 63, 65 e 58 m para granulometria, atributos químicos e cor do solo, respectivamente. O ambiente com maior variabilidade (área C) está relacionado com locais de ocorrência de vegetação do tipo Campo Cerrado e pedoforma convexa. Esse mesmo local evidenciou a menor capacidade de resposta ao manejo da cultura de soja, evidenciado pelos índices de fertilidade do solo para essa cultura, com destaque para os baixos valores de matéria orgânica (9,20 mg kg-1) e CTC (29,60 mmol c dm-3). Assim, pode-se afirmar que para o compartimento geológico estudado, os ambientes de alta variabilidade sempre estão associados a áreas com menor resposta ao manejo do solo para a cultura da soja.

The national and international demand for maps of soil properties has increased. The aim of this study was to characterize cohesive soils and associate their variability of particle size, chemical properties, and color to different landforms in agricultural areas and native vegetation using geostatistical techniques. To set up the experiment, we selected three areas of soil consisting of an area planted to soybeans and, contiguous to it, another area with plant cover remaining from three types of cerrado (tropical savanna), designated Cerradão (A), Cerrado (B), and Campo Cerrado (C). The areas A and B are located on a concave landform, while area C is on a convex landform. Sampling grids with 121 points were established in each area, and in areas with native vegetation, transects were constructed with five points spaced at 20 m. The largest mean ranges, considering both depths evaluated, were found for area A, with 115 m for particle size, 157 m for chemical attributes, and 168 m for soil color. Area B had mean ranges of 95, 64, and 160 m for grain size, chemical attribute, and soil color, respectively. For its part, area C exhibited the mean ranges of 63, 65, and 58 m in grain size, chemical attributes, and soil color, respectively. The environment with the greatest variability (area C) is related to locations with the occurrence of Campo Cerrado vegetation and a convex landform. This same site had the lowest responsiveness to soybean crop management, shown by soil fertility indicators for this crop, especially the low values for organic matter (9.20 mg kg-1) and CEC (29.60 mmol c dm-3). Thus, it can be stated that for the geological compartment studied, the environments of high variability will always be associated with areas with lower response to soil management for soybean.