Simple Models for Predicting Agricultural Trafficability on Cohesive Soils Cultivated with Sugarcane in Brazil
| Autor: | A. R. da Silva, Uilka Elisa Tavares, E. M. R. Pedrosa, R. P. de Lima, M. M. Rolim, V. S. de Oliveira |
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| Rok vydání: | 2015 |
| Předmět: |
Soil test
Trafficability Soil science Regression analysis 04 agricultural and veterinary sciences 010502 geochemistry & geophysics 01 natural sciences Bulk density Soil water 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Simple linear regression Agronomy and Crop Science Water content Predictive modelling 0105 earth and related environmental sciences |
| Zdroj: | Sugar Tech. 18:347-353 |
| ISSN: | 0974-0740 0972-1525 |
| Popis: | Preconsolidation stress (σ p) is an important physical indicator of the load-bearing capacity of soil, which is used for predicting agricultural trafficability. This study aimed to compare prediction models for agricultural trafficability using soil physical attributes as explanatory variables on soils of coastal lands cultivated with sugarcane in the Northeast of Brazil. The study was carried out on a cohesive soil area cultivated with sugarcane at which 42 points were sampled in order to collect undisturbed soil samples at 0.10-0.13 and at 0.30-0.33 m layers, summing up 84 samples. The following variables were analysed: water content (θ), bulk density (ρ), penetration resistance (PR) and σ p. Three models were fitted to predict σ p as a function of ρ, θ and PR. Bulk density and water content can be used as predictors of agricultural trafficability on cohesive soils, and have improved predictions when used together in regression models. However, despite the fact that water content and bulk density are known to be correlated, soil penetration resistance can be used as a practical soil trafficability criterion, by fitting a simple linear regression, for it is easily and quickly measurable. |
| Databáze: | OpenAIRE |
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