Spatial variability of soybean leaf nutrient concentrations related to chemical attributes of an Oxisol

ABSTRACT The study of soil properties and plant using geostatistics, and the consequent generation of management maps, result in the rational use of fertilizers and thus to reduce costs for producers. In the agricultural year 2013/2014, in Selvíria (MS) aimed to evaluate the linear and spatial dependence of the attributes Ca, Mg, H+Al, Al, SB, CTC and m of an Oxisol, with foliar concentrations of Ca, Mg, Cu, Fe, Mn and Zn soybean (Glycine max L.) grown in tillage. A sampling network was installed to collect soil and plant data, with 100 sampling points distributed random, in an area of 7,980 m2. The results of geostatistical analysis showed that for the evaluated attributes there was spatial dependence. The lower reaches were observed the constant variations of the area by staging a production system. Both linear and spatially, soil CTC was good indicator of foliar concentrations of Ca and S soybean under no-tillage.