Soil exchangeable sodium percentage (ESP) and sodium adsorption ratio (SAR) are commonly used to assess soil sodicity.Correlation between ESP and SAR of saturated pasted extract (SAR e) or of 1:5 (m:m) mixture soil to...Soil exchangeable sodium percentage (ESP) and sodium adsorption ratio (SAR) are commonly used to assess soil sodicity.Correlation between ESP and SAR of saturated pasted extract (SAR e) or of 1:5 (m:m) mixture soil to water (SAR 1:5) has been documented to predict ESP from SAR.However limited studies have been undertaken to model soil ESP based on soil SAR in the Songnen Plain,Northeast China.In this study,117 soil samples were used to predict ESP from SAR e and SAR 1:5 of salt-affected soils in western Songnen Plain.Soil ESP was highly related (r 2 > 0.76,P < 0.001) with SAR e and SAR 1:5.ESP of salt-affected soils in the Songnen Plain could be predicted using a logarithmic regression equations of ESP=10.72 · ln(SAR e) 15.36 and ESP=11.44 · ln(SAR 1:5) + 5.48.展开更多
基金Supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (No. KZCX2-YW-Q06-2)the Non-profit Industry Financial Program of Ministry of Agriculture of China (No. 200903001-06)+1 种基金the National Key Technology Research and Development Program of China (No. 2009BADB3B03)the Chinese Academy of Sciences Action Plan for the Development of Western China (No. KZCX2-XB2-131)
文摘Soil exchangeable sodium percentage (ESP) and sodium adsorption ratio (SAR) are commonly used to assess soil sodicity.Correlation between ESP and SAR of saturated pasted extract (SAR e) or of 1:5 (m:m) mixture soil to water (SAR 1:5) has been documented to predict ESP from SAR.However limited studies have been undertaken to model soil ESP based on soil SAR in the Songnen Plain,Northeast China.In this study,117 soil samples were used to predict ESP from SAR e and SAR 1:5 of salt-affected soils in western Songnen Plain.Soil ESP was highly related (r 2 > 0.76,P < 0.001) with SAR e and SAR 1:5.ESP of salt-affected soils in the Songnen Plain could be predicted using a logarithmic regression equations of ESP=10.72 · ln(SAR e) 15.36 and ESP=11.44 · ln(SAR 1:5) + 5.48.
