Evaluation of Pedotransfer Functions for Estimating Soil Water Retention Curve of Ap Horizon Soils for Various Soil Series of Reclaimed Tidal Flat Soil
Kyo-Suk Lee,
Dong-Sung Lee,
Hyun-Gyu Jung,
Sang-Phil Lee,
Jin-Hee Ryu,
Woo-Jung Choi,
Jae-Eui Yang,
Doug-Young Chung
Affiliations
Kyo-Suk Lee
Department of Bio-Environmental Chemistry, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Korea
Dong-Sung Lee
National Agricultural Cooperative Federation, Seoul 04517, Korea
Hyun-Gyu Jung
Department of Bio-Environmental Chemistry, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Korea
Sang-Phil Lee
Kangwon Institute of Inclusive Technology, Kangwon National University, Chuncheon 24341, Korea
Jin-Hee Ryu
National Institute of Crop Science, Rural Development Administration (RDA), Wanju-Gun 55365, Korea
Woo-Jung Choi
Department of Rural and Bio-Systems Engineering & Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture (Brain Korea 21), Chonnam National University, Gwangju 61186, Korea
Jae-Eui Yang
Department of Biological Environment, College of Agriculture and Life Science, Kangwon National University, Chuncheon 24341, Korea
Doug-Young Chung
Department of Bio-Environmental Chemistry, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Korea
This investigation was to evaluate the applicability and prediction accuracy of pedotransfer function (PTF) to estimate the water retention curves of Ap horizon soils for five soil series which cannot be directly used to cultivate upland crops other than rice because of their high salinity. Soil water retention curves (SWRCs) were obtained from 150 undisturbed soil samples collected from the Ap horizons of which soil textures were grouped into sandy loam with high contents of sand (>60%) and low clay contents (60%) and low sand content (2 values greater than 0.9 for sandy loam and silt loam represent RB-PTF and are suitable for predicting SWRCs in RTFS because the measured data points do not vary around the estimated regression line.
