Management zone settings for high productivity soybean

Abstract

Knowledge of spatial patterns of soil chemical parameters is critical information for precision agriculture. The objective of this work was to define management zones by means of classes of chemical attributes and average yield of soybean in a field of high production. Soybean yields were quantified by means of plants collected in 1 m 2 and the chemical attributes by means of five single samples per point in the layer of 0.00-0.20 m in a grid of 88 points of 60mX60m in two consecutive years, mass of heavy grains and extrapolated for t ha-1 considering 10% humidity. The class maps were generated by GS + version 7.0 software in average intervals +/- 1.5 times the standard deviation. The area of each productivity class was calculated with the help of the Google Earth program through overlapping maps. The class considered high for productivity was predominant in the northwest region of the map presenting 8,217 ha, 6,508 ha of high K content, 4,769 ha of high CTC content and 3,708 ha of high M.O. Although no significant correlation was found, productivity and chemical attributes presented higher values in the northwest region of the map.