Soils in Korea are consisted of 390 soil series which are mainly formed by granite and granite gneiss. Soil water characteristics of these soils described by Soil Water Retention Curves (SWRC) depends primarily on the soil structure and pore size distribution. But, to make SWRC requires a lot of time and labor so that to use PedoTransfer Function (PTF) estimating the water retention characteristics of soil by particle distribution is profitable to save labor and time for SWRC. Therefore, this study was conducted for estimation of specific points, Field Capacity (FC) which is soil water content at 33kPa and Wilting Point (WP) is soil water content at 1500kPa, on the SWRC from particle distribution like as making PTF to predict soil water retention values from soil physical properties using regression analysis. Measured data of 1295 points with soil water content at FC and WP on each soil layer of 325 soil series except for 65 soil series by volcanic ash soil were used for this study. Estimation equation for FC was described as the function of silt(Si) and clay(C) content (y=1.9855+0.2287*Si+3.7064*Sqrt(C)), and the equation for WP was the function of sand(S), clay and Organic Matter(OM) content (y=8.828 - 0.0711*S + 0.2174*C + 0.8604*OM). When estimated data fitted into measured data, the correlation between data showed characteristics close to 1 vs. 1 line. These models can be then substituted to a model that expresses gravimetric water content as a function of matric potential by linear regression.