Saturated hydraulic conductivity (K_s) is the property of soil which describes its ability to transmit water under saturated conditions.  This property is important in many interpretations for land use.  However, minimal data are available for saturated hydraulic conductivity.  This is because measurement in the field is difficult, expensive, and often inaccurate.  A promising approach is to estimate K_s with pedotransfer functions.  These pedotransfer functions establish a relationship between soil properties and K_s, which provides an efficient method for estimating saturated hydraulic conductivity based on available data.  The soil properties that are commonly used in pedotransfer functions include texture, organic matter content, bulk density, porosity, and water retention data.  In addition to efficiency, pedotransfer functions allow for a variable number of soil properties to be included in the algorithm, making them flexible for different data sets.  The objective of this project was to evaluate the prediction accuracy of pedotransfer functions by comparing the estimated K_s with direct field measurements.  Direct field measurements of K_s were collected using the constant-head well permeameter method.  Soil samples were analyzed for particle size, bulk density, and water content at potentials of -33 kPa and -1.5 MPa water content.  Permeameter measurements and sampling were conducted at locations that were mapped as Albion, Basehor, Geary, Harney, Irwin, Pawnee, Penden, Pratt, Sibleyville and Ulysses soil series.  Correlation analysis was performed to quantify agreement between predicted and measured values of saturated hydraulic conductivity.