Correlation indices physical space of soil and productivity of fruit tomato industry

• Main Authors: Danilo Gomes de Oliveira, Elton Fialho dos Reis, João Carlos Medeiros, Marcos Paulo de Oliveira Martins, Anderson da Silva Umbelino
• Format: Article
• Language: English
• Published: Universidade Federal de Roraima 2017-12-01
• Series: Agro@mbiente On-line
• Subjects: Soil attributes. Solanum lycopersicum. Spatial variability; Soil attributes; Solanum lycopersicum; Spatial variability
• Online Access: https://revista.ufrr.br/agroambiente/article/view/4211/2384

With mechanization at all stages of crop management, the soil began to receive a higher surface load, which causes changes in its physical properties with possible production impacts. Thus, the objective of this work was to evaluate the variability and spatial correlation of the physical attributes of a Red Latosol with the productivity of industrial tomatoes. For this, a sample mesh was assembled using a global receiver positioning system (GPS), with 84 pairs of spaced apart 80 x 80 m points. After the mesh construction, samples in the 0.00-0.20 m layer were collected in the field to measure the physical attributes of the soil and plant data. The variables measured were: soil density (Ds), soil penetration resistance (PR), soil texture and tomato productivity. The values obtained were analyzed using geostatistics, and were classified according to the degree of spatial dependence. Then, using the ordinary kriging interpolation method and ordinary cokriging, the values for nonsampled sites were estimated, allowing the mapping of isovalues and the definition of management zones in the field. The spatial correlation of the physical attributes with the production components by the ordinary Cokriging method verified spatial correlation only between attributes (soil x soil) density and sand content. The use of geostatistics and the construction of the maps by means of kriging and ordinary cokrigation allowed to identify different management zones, that is, the variability of soil attributes and productivity.