SOIL STRUCTURAL VARIABILITY ANALYSIS USING GEOSTATISTICS IN FORAGE SORGHUM CULTIVATION

Authors

  • Thiago Bezerra dos Santos IFCE
  • Francisca Priscila de Lima Pinheiro
  • Marisa Porfirio Gomes Soares
  • Vinicius Bitencourt Campos Calou
  • Alexandre Reuber Almeida da Silva

DOI:

https://doi.org/10.17224/EnergAgric.2023v38n3p68-74

Abstract

Understanding the functionality of soil physical attributes is necessary to provide appropriate management for cultivation. Thus, the present study aimed to evaluate different geospatial interpolators for the spatialization of soil physical attributes in an area cultivated with sorghum (Sorghum bicolor). The experiment was carried out at IFCE - Campus Iguatu, in a soil of textural class “Franco Arenosa”. 56 sample points were collected in a regular 15.5 m mesh in 1.2 ha, and soil density (SD), particle density (PD) and total soil porosity (TDP) were inferred. The algorithms were evaluated by calculating the root mean squared error (RMSE), to recommend the best algorithm for each physical attribute of the soil, being the IDW (Inverse Distance Weighting) most recommended for DS, the TIN (Triangulated Irregular Network) for DP and the Ordinary Kriging for PTS. Through geostatistics it is possible to visualize areas in need of management, applying a practice to the soil to improve its structure at a certain critical point in order to have a good production, enabling a soil suitable for cultivation.

Published

2023-09-28

How to Cite

Santos, T. B. dos ., Pinheiro, F. P. de L. ., Soares, M. P. G. ., Calou, V. B. C. ., & Silva, A. R. A. da . (2023). SOIL STRUCTURAL VARIABILITY ANALYSIS USING GEOSTATISTICS IN FORAGE SORGHUM CULTIVATION. ENERGY IN AGRICULTURE, 38(3), 68–74. https://doi.org/10.17224/EnergAgric.2023v38n3p68-74