This research aimed to evaluate the effect of different land-uses on physical and chemical properties of Oxisols under cerrado conditions in central region of Goiás, Brazil. The data were analysed in a randomized experimental design in a 4 × 3 factorial arrangement with five replications. The land-uses were: 1-Annual crops, 2-Pasture, 3-Sugarcane and 4-Native forest (control). The second factor consisted of three sampling depths: 0-0.05, 0.1-0.2 and 0.2-0.3 m. The physical attributes analysed were: total clay (TC), natural clay (NC), bulk density (BD), particle density (PD), total porosity (TP), degree of flocculation (DF), soil resistance to penetration (SRP), gravimetric water content (%GWC). Chemicals attributes analized: pH in water (pH), calcium (Ca), magnesium (Mg), aluminium (Al), potential acidity (H+Al), potassium (K), phosphorus (P), soil organic matter (SOM), cation exchange capacity (T) and base saturation (V%). Annual crops showed higher K levels (0-0.3 m) and lower SOM values (0-0.3 m), Ca and Mg (0-0.05 m) affecting T in relation to the forest. The use sugarcane showed higher values of BD, PD and SRP, and smaller values of TP, SOM, P and T. On the other hand, the values of Ca and Mg are kept close to those of the control. The attribute V% is preserved for annual crops, sugarcane and pasture with values higher than those verified in native forest. The use pasture reduced TP and P and Ca, Mg and T. The land-uses studied reduced soil quality compared to the forest, in descending order were sugarcane > annual crops > pasture.

Lowlands represent a significant portion of agricultural areas in the world. Thus, understanding the spatial variability of the chemical and granulometric characteristics of hydromorphic soils can contribute to improving soil management and fertility. The objective of this work was to characterize spatial dependence, spatialized chemical attributes, granulometry, and the ideal number of samples in irrigated hydromorphic soil. Soil sampling was conducted in a grid of 10x10 m, in the layers of 0–0.1 and 0.1–0.2 m, totalling 432 composite samples. The evaluated attributes are as follows: pH in water, H+Al, SOM, Ca, Mg, Al, P, K, CTC, V%, Cu, Fe, Zn, Mn, clay, silt, and sand. The texture of the area was classified as loamy–sandy and free in the 0–0.1 and 0.1–0.2 m layers, respectively. The coefficient of variation of the attributes ranged from 2.71% (0–0.1m) to 149.07% (0.1–0.2m). All the attributes studied exhibited moderate to strong spatial dependence. The sample grid with a sampling interval of 20 m referring to the 0–0.1 m layer proved to be adequate. The ideal number of simple samples per composite is 19 for granulometry and macronutrients, and 28 for the micronutrients in the 0–0.1 m layer.