Based on field capacity test with different soil structures, soil texture and organic matter content, the dominant factors impacting the soil field capacity were analyzed. With the multiple linear regression model, multiple non-linear regression model and BP model method, the different transfer functions between field capacity and soil physical and chemical properties were set. The result showed that these conventional physical and chemical performance parameters of soils, including dry density, silt content and clay content of soil structure, soil texture and soil organic matter content, all had significant impact on field-water capacity. It was feasible to forecast field specific retention by the different transfer functions, which had higher prediction accuracy (relative error less than 10%) and BP model was the best (relative error was 3.24%).