Spatial correlation of soybean yield with the chemical attributes of an Oxisol

Abstract

Soybean is currently the most cultivated oilseed in the world. The objective of this study was to analyze the chemical attributes of Oxisol correlated with soybean productivity. The attributes evaluated were grain productivity, soil properties of organic matter contents, phosphorous, pH, potassium, calcium, magnesium, hydrogen + aluminum, aluminum, sum of bases, cation exchange capacity (CEC), base saturation, liming requirement; penetration resistance at 0.0-0.10 m, 0.10-0.20 m, 0.20-0.30 m, and 0.30-0.40 m. Soil chemical attributes were submitted to a descriptive classic analysis with the help of the RBio software. In the semivariogram analysis, the attributes calcium, magnesium, aluminum, sum of bases, base saturation, liming requirement, and penetration resistance at 0.30-0.40 m showed a pure nugget effect, meaning no spatial dependence. In conclusion, CEC was the attribute that best described the soybean yield data in dystrophic Red Latosols. Attributes of grain productivity, soil organic matter, phosphorus, pH, potassium, hydrogen + aluminum, CEC, penetration resistance at 0.00 to 0.30 m showed spatial dependence.