In a soil survey, a detailed description of a set of soil properties is important for analyzing and understanding the interactions of several soil forming processes. Thus, multivariate analysis may be an important statistical tool to better interpret and understand the relationships and similarities between pedons. The aim of this study was to differentiate and group similar pedons based on physical and chemical properties using multivariate statistics. The study was carried out in Lages, SC, Brazil, at 27º 48’ S […]

There is a need to evaluate the importance of soil relief together with soil spectral attributes as the basis on soil mapping. The aim of this study was to test a method for detecting soil boundaries through the interaction of spectral data and relief features. Fourteen toposequences were used, representing an area of 13,000 ha near the municipalities of São Carlos and Araraquara, SP, Brazil. The samples were described by the conventional method of chemical and particle size analysis, such […]

The Araripe Plateau in the tropic semi-arid region is characterized by great environmental diversity. The Araripe National Forest and several forest management units (FMU) are located in this area with mostly red-yellow Oxisols. The goal of this study was to identify a basic indicator that could represent a set of physical, chemical and biological properties of soils of the Plateau. Multivariate analysis was used to indicate changes in soil properties of a FMU. Soil samples were analyzed in triplicate (0-20 […]

The agricultural potential is generally assessed and managed based on a one-dimensional vision of the soil profile, however, the increased appreciation of sustainable production has stimulated studies on faster and more accurate evaluation techniques and methods of the agricultural potential on detailed scales. The objective of this study was to investigate the possibility of using soil magnetic susceptibility for the identification of landscape segments on a detailed scale in the region of Jaboticabal, São Paulo State. The studied area has […]

The distribution of natural levels of trace elements in soils is rather variable. Therefore, the determination of background levels (BLs), based on averages or global intervals of concentration, are mostly unsuitable. This study proposed to establish BLs based on soils with similar properties, grouped by chemical and physical properties based on Pearson’s correlation analysis, factor analysis (FA), cluster analysis (CA), and discriminate analysis (DA). The Pearson correlation analysis and factor analysis showed that the variables soil Fe, Mn, Ti, silt […]

The spatial variability of soil and plant properties exerts great influence on the yeld of agricultural crops. This study analyzed the spatial variability of the fertility of a Humic Rhodic Hapludox with Arabic coffee, using principal component analysis, cluster analysis and geostatistics in combination. The experiment was carried out in an area under Coffea arabica L., variety Catucai 20/15 – 479. The soil was sampled at a depth 0.20 m, at 50 points of a sampling grid. The following chemical […]

Erodibility is an important factor for soil loss quantification, representing the processes that regulate water infiltration and soil resistance to the breakdown and transport of particles. Thus, by analyzing the spatial dependence of the principal components of erodibility (K-factor), aimed to estimate soil erodibility in a headwaters area in the watershed Córrego do Tijuco, Monte Alto, SP, and analyze the spatial variability of soil texture variables across the landscape. The mean erodibility of the area was high and the analysis […]

The objective of this study was to analyze the spatial variability of chemical attributes of an Oxisol. The experiment was conducted with Coffea arabica L., variety Catuai, at a depth of 0-0.2 m in a grid area totaling 50 points. The studied chemical attributes were: P, K, Ca, Mg, Na, S, Al, pH, H + Al, SB, t, T, V, m, MO, ISNa, equilibrium P and micronutrients (Zn, Fe, Mn, Cu, and B). The data were analyzed by descriptive statistical […]

Agricultural soils under no tillage systems are affected by soil compaction caused by machinery traffic, which can restrict root growth and reduce crop yields. The purpose of this study was to evaluate the effect of different compaction levels on the physical quality of a Red Latosol (Oxisol), sandy-loam, in the Jaboticabal county, São Paulo state, Brazil, under corn, using multivariate analysis. The experimental design was completely randomized with six compaction levels and four repetitions. Undisturbed soil samples were collected in […]