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Spatial variability of soil physical properties in longitudinal profiles
Thiago C R Franco1, Gabriel A S Ferraz1, Luis C C Carvalho2
1Universidade Federal de Lavras/ UFLA, Departamento de Engenharia Agrícola, Campus Universitário, Av. Sul UFLA, sn, Aquenta Sol, 37200-000 Lavras, MG, Brazil.
Anais Da Academia Brasileira De Ciencias
|April 6, 2022
Summary
Geostatistics revealed spatial variations in soil physical properties like bulk density and penetration resistance in coffee plantations. These variations differ across soil depths and plantation lengths, impacting agricultural soil behavior.
Area of Science:
- Agricultural Science
- Soil Science
- Geosciences
Background:
- Precision agriculture utilizes geostatistics to understand soil physical property variations.
- Spatial variability of soil properties influences agricultural practices and crop performance.
- Longitudinal soil profiles in coffee plantations require detailed physical property assessment.
Purpose of the Study:
- To evaluate the spatial dependence of soil physical properties in coffee plantation streets.
- To create spatial variability maps for bulk density, penetration resistance, and gravimetric moisture.
- To understand how soil physical properties vary with depth and along plantation lengths.
Main Methods:
- Application of geostatistics, specifically ordinary kriging, to analyze soil data.
- Measurement of five longitudinal soil profiles to depths of 0.60 m in six layers.
- Utilizing R software for spatial variability mapping and cross-validation error analysis.
Main Results:
- Superficial soil layers (0-0.30 m) exhibited lower bulk density and penetration resistance.
- Gravimetric moisture content showed variability along the length of some coffee plantation streets.
- Distinct spatial dependence structures were identified for each evaluated street.
Conclusions:
- Geostatistical analysis effectively maps soil physical property variations in coffee plantations.
- Soil physical properties exhibit depth-dependent and spatially variable characteristics.
- Understanding these variations is crucial for tailored precision agriculture management in coffee farming.
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