Amostral Optimization of Mechanical Resistance to the Penetration of a Yellow Oxisol Under Pasture
| Autor: | Neilon Duarte da Silva, Fabiano de Oliveira de Paula Oliveira, Júlio César Azevedo Nóbrega, Fabiane Pereira Machado Dias, Ésio de Castro Paes, Ludmila Gomes Fereira, Ana Carolina Rabelo Nonato, Flávia de Jesus Nunes |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
geography
geography.geographical_feature_category Soil classification Soil science 04 agricultural and veterinary sciences Penetration (firestop) Mechanical resistance Soil type Pasture Oxisol 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Spatial variability Trampling |
| Zdroj: | Journal of Agricultural Science. 10:275 |
| ISSN: | 1916-9760 1916-9752 |
| Popis: | The degradation of pastures can be characterized by several factors, mainly due to the management adopted, so in view of the country’s territorial extension and the peculiarity of each region and soil type, it is essential to develop research to improve the monitoring of the system. The objective of this study was to evaluate the effect of different sample densities to establish a mesh that gives precision in maps of spatial variability of soil mechanical resistance to root penetration to pasture areas in the coastal tableland region of Northeast Brazil. In a pasture area, three sampling meshes were demarcated for georeferenced evaluation of soil mechanical resistance to root penetration: mesh 1 established in the dimensions of 50 × 50 m, mesh 2 of 100 × 100 m and mesh 3 of 150 × 150 m, totaling an area of 9 ha. The soil resistance to penetration was measured using an automated apparatus, coupled to a tractor. The variation found in the values of penetration resistance in subsurface can be related to the management adopted in the area, as well as the trampling of the animals. Data on soil penetration resistance in pasture showed that the most compacted zone was always below 30 cm depth by using different sample densities. The results allow us to conclude that the higher the density of the sampling mesh, the greater the accuracy of the data and that, independently of the sample mesh, it was possible to identify the layer of higher soil mechanical resistance to root penetration. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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