Accuracy and uncertainty assessment on geostatistical simulation of soil salinity in a coastal farmland using auxiliary variable

Understanding the spatial soil salinity aids farmers and researchers in identifying areas in the field where special management practices are required. Apparent electrical conductivity measured by electromagnetic induction instrument in a fairly quick manner has been widely used to estimate spatial soil salinity. However, methods used for this purpose are mostly a series of interpolation algorithms. In this study, sequential Gaussian simulation (SGS) and sequential Gaussian co-simulation (SGCS) algorithms were applied for assessing the prediction accuracy and uncertainty of soil salinity with apparent electrical conductivity as auxiliary variable. Results showed that the spatial patterns of soil salinity generated by SGS and SGCS algorithms showed consistency with the measured values. The profile distribution of soil salinity was characterized by increasing with depth with medium salinization (ECe 4-8 dS/m) as the predominant salinization class. SGCS algorithm privileged SGS algorithm with smaller root mean square error according to the generated realizations. In addition, SGCS algorithm had larger proportions of true values falling within probability intervals and narrower range of probability intervals than SGS algorithm. We concluded that SGCS algorithm had better performance in modeling local uncertainty and propagating spatial uncertainty. The inclusion of auxiliary variable contributed to prediction capability and uncertainty modeling when using densely auxiliary variable as the covariate to predict the sparse target variable.

Shigella dysenteriae 60R strain adheres to and invades tissue culture cells in the absence of virulence plasmid

Evidence is presented that a high level Shiga toxin-producing strain Shigella dysenteriae 60R adheres to and invades the epithelial cell lines Hct8 and Henle 407. The invasive phenotype of S. dysenteriae 60R differs in four ways from the heretofore studied invasive Shigella phenotypes. First, S. dysenteriae 60R lacks the virulence plasmid characteristic of other invasive Shigella spp. and enteroinvasive Escherichia coli. Second, hybridization studies show that the known ipa genes are neither present in the chromosome nor in the small plasmid of 60R. Third, 60R adheres to and invades Hct8 and Henle 407 cells at 37 degrees C as well as at 30 degrees C. Fourth, the phenotype of adherence and invasion of 60R is remarkably stable, even during prolonged growth in laboratory media and storage.