Soil variables in a depth interval of 5 to 15 cm were obtained from Soilgrids (https://soilgrids.org/) for the 63 observed locations in the historical series analyzed by Krause et al. (2022). The R code used to download and process the soil data can be retrieved at https://github.com/mdkrause/VarComp-ME/blob/main/soil_data.R.
A data frame in tidy format with 504 observations on the following 5 variables:
soil variables, 8 levels
locations, 63 levels (observed locations in the historical series)
mean values of the soil variables (Feature)
Bulk density of the fine earth fraction (cg/m^3)
Cation Exchange Capacity of the soil (mmol(c)/kg)
Proportion of clay particles (< 0.002 mm) in the fine earth fraction (g/kg)
Total nitrogen (cg/kg)
Soil pH (pH\times10)
Proportion of sand particles (> 0.05 mm) in the fine earth fraction (g/kg)
Proportion of silt particles (≥ 0.002 mm and ≤q 0.05 mm) in the fine earth fraction (g/kg)
Soil organic carbon content in the fine earth fraction (dg/kg)
Krause, M. D., Dias, K. O. G., Singh, A. K., and Beavis. W. D. (2022). Using large soybean historical data to study genotype by environment variation and identify mega-environments with the integration of genetic and non-genetic factors. bioRxiv, doi: 10.1101/2022.04.11.487885
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