Abstract.The Agricultural Catchments Research Unit model (ACRU) includes a decision support system (DSS) for estimating the water content of soil at field capacity (θfc) and wilting point (θwp) when these characteristics are not directly measurable. Three methods of estimation are proposed: (a) based on silt and clay content and bulk density, (b) based on clay content only, and (c) based on soil series. These three pedotransfer functions are compared with respect to both the estimation of θfcand θwpand the propagation of errors when the actual evapotranspiration of a wheat crop (E) is predicted over the growing season by the ACRU model.The standard error of estimation was between 0.066 and 0.082 m3/m3for θfc, between 0.056 and 0.069 m3/m3for θwpand between 29.9 and 34.8 mm of water for E. The method based on silt and clay contents and bulk density predicted θfcand θwpfor non‐swelling soils most precisely. The method based on soil series was better than other methods for swelling soils. It also performed better for estimating available water capacity and consequently for predicting E from a conceptual soil water model. The propagated error of estimating θfcand θwpusing the DSS reached 15–18% of the simulated E. The error in the prediction of E can reach 26–30% when spatial variation in soil properties is