Comparing traditional and digital soil mapping at a district scale using residual maximum likelihood analysis

Conventional soil mapping uses field morphological observations to classify soil profiles into predefined classification systems and extrapolates the classified soils to make a map based on aerial photographs and the experience of the surveyor. A criticism of this approach is that the subjectivity of the surveyor leads to non-reproducible maps. Advances in computing and statistical analysis, and an increased availability of ancillary data have cumulatively led to an alternative, referred to as digital soil mapping (DSM). In this research, two agriculturally productive areas (i.e. Warren and Trangie) located in central New South Wales, Australia, were considered to evaluate whether pedoderms and soil profile classes defined according to the traditional approach can also be recognised and mapped using a DSM approach. First, we performed a fuzzy k-means analysis to look for clusters in the ancillary data, which include data from remote-sensed gamma-ray (γ-ray) spectrometry and proximal-sensed electromagnetic (EM) induction. We used the residual maximum likelihood method to evaluate the maps for various numbers of classes (k = 2–10) to minimise the mean square prediction error (σ2p,C) of soil physical (i.e. clay content, field capacity (FC), permanent wilting point (PWP) and available water content (AWC)) and chemical (pH, EC of 1 : 5 soil water extract (EC1:5) and cation exchange capacity (CEC)) properties of topsoil (0–0.3 m) and subsoil (0.6–0.9 m). In terms of prediction, the calculated σ2p,C was locally minimised for k = 8 when accounting for topsoil clay, FC, PWP, pH and CEC, and subsoil FC, EC1:5 and CEC. A comparison of σ2p,C of the traditional (seven pedoderm components) and DSM approach (k = 8) indicated that only topsoil EC1:5 and subsoil pH was better accounted for by the traditional approach, whereas topsoil clay content, and CEC and subsoil clay, EC1:5 and CEC were better resolved using the DSM approach. The produced DSM maps (e.g. k = 3, 6 and 8) also reflected the pedoderm components identified using the traditional approach. We concluded that the DSM maps with k = 8 classes reflected the soil profile classes identified within the pedoderms and that soil maps of similar accuracy could be developed from the EM data independently.

Genetic evaluation of Hanoverian warmblood horses for conformation traits considering the proportion of genes of foreign breeds

Conformation data of in total 29 053 Hanoverian warmblood mares were used to determine whether genetic evaluation for conformation in the Hanoverian could benefit from the inclusion of the proportion of genes of foreign breeds in the model. For our analyses, we considered all Hanoverian mares born from 1992 to 2005 with available studbook inspection data. Genetic parameters were estimated univariately for eight routinely scored conformation traits (head, neck, saddle position, frontlegs, hindlegs, type, frame, and general impression and development), and height at withers from studbook inspections, in a linear animal model using Residual Maximum Likelihood (REML). Genetic evaluation was subsequently performed using Best Linear Unbiased Prediction. To investigate the effect of correcting for the proportion of genes of foreign breeds, two different models were used for the analyses. In Model 1, the fixed effect age at studbook inspection, and the random effect date-place interaction were considered. In Model 2, proportions of genes of Thoroughbred, Trakehner and Holsteiner were additionally included as fixed effects. Heritabilities of analyzed conformation traits and withers height ranged in both models between 0.10 and 0.57, with standard errors of ≤0.01. Pearson correlation coefficients determined between breeding values of corresponding traits using Model 1 and 2 were highly positive (>0.99), indicating little effect of the model on the results of genetic evaluation. According to the results using a model which includes the proportion of genes of Thoroughbred, Trakehner and Holsteiner as fixed effects will not relevantly improve genetic evaluation for conformation in the Hanoverian.