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The chemical analyses of the soils were complemented with a micromorphological study.
Weekly humidity tests and adjustments, chemical and microbiological analyses of the soils have been regularly carried out.
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Explicit analyses of the soil pattern using digital soil mapping techniques will be applied for model validation.
The model input is based on finite element analyses of the soil and the foundation, which makes it possible to calibrate the model to different soil conditions.
So far, studies concerning the analyses of the soil magnetic susceptibility in the soil profile have been usually making use of classic statistics.
At the smallest spatial and temporal resolution, a daily water balance approach is linked to a crop growth model, using daily climatic data recorded at different meteorological stations and the description, physical and chemical analyses of the soil profiles.
The results of chemical and physical analyses of the soil at the experimental sites in 2008 are presented in Tables 1 and 2. Data in Tables 1 and 2 indicate that soils at these sites are generally acidic at Agricultural College site than at Ejura farm.
These examples show that the macro-element 1) reproduces the response computed in finite element analyses of the soil volume and the bucket foundation, 2) is numerically stable and does not cause numerical ratchetting, 3) produces response in good agreement with a large scale field test.
Recent developments in metagenomics-based analyses of the soil microbiota have enabled us to unlock the huge functional diversity, yielding access to novel genes and useful biomolecules (Ferrer et al. 2005; Simon and Daniel 2009; Nacke et al. 2011).
Differences were observed between electropherograms of T-RFLP and composite GC-TRFLP analyses of the same soil sample.
Chemical and mineralogical analyses of deep profiles of the soils revealed two main types and that the extent of plant growth reflected their mineralogical composition.
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