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. 2022 May 23;12:8674. doi: 10.1038/s41598-022-12795-0

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Partial Least Squares Regression (PLS-R) analysis where the natural logarithm of the semi-quantitative colony forming unit (CFU) counts of B. pseudomallei (logCFU) are compared with soil physico-chemical variables: (a) logCFU in the correlation circle with the 24 soil parameters; (b) Measured and predicted logCFU using the PLS-R model; (c) Variable importance for the projection (VIP) score plot of the 24 soil physico-chemical variables. Fe total iron concentration, Al total aluminum concentration, Mn total manganese concentration, S total sulfur concentration, Ti total titanium concentration, K total potassium concentration, Si total silicium concentration; pH, OM organic matter content, Mg_e exchangeable magnesium fraction, Ca_e exchangeable calcium fraction, Na_e exchangeable sodium fraction, K_e exchangeable potassium; silt, sand and clay textural fractions; Poro soil porosity, BD bulk density, WC volumetric water content, GPR groundwater persistence rate, Ks saturated hydraulic conductivity.