Relationship between sunflower productivity and soils chemical properties by geo-statistical techniques

Classical geostatistic techniques and geostatistics are important tools to co-relate linearly and spatially vegetal productivity to the soil´s properties. Spatial and Pearson´s co-relationships between the attributes of the sunflower plant and the soil´s properties were used in Campo Novo do Parecis MT Brazil in 2013 to determine the most significant co-relationship between cause and effect (soil and plant). A geostatistic network was established to collect data from the soil and plant from 100 sample points in plot with sunflower plants. Soil was classified as Red-Yellow Dystrophic Latosol (Typic Tropudox) and the capacity for cation exchange by Pearson´s linear co-relationships was the sole attribute of the soil to estimate the productivity of achenes. Since it had a direct spatial relationship with APL, and, in its turn, APL with PR, the soil´s pH provided a better performance in the limitation of regions with distinct growth and productive potentials of sunflowers. Conservational managements of the soil that aim at raising organic matter rates which, in their turn, affect directly and positively cation exchange capacity, are required to obtain the highest productivity of sunflower achenes due to their close relationship with plant´s height and achene mass.      Key words: Soil fertility, Helianthus annuus L., regression, kriging map, semivariogram.