Journal of Food, Agriculture and Environment

Vol 9, Issue 1,2011
Online ISSN: 1459-0263
Print ISSN: 1459-0255

Evaluation of empirical models to relate sum cationic concentration to electrical conductivity in salt-affected soils


Maaroof Siosemarde 1*, Faraidon Kaveh 1, Ebrahim Pazira 2, Hossain Sedghi 1, Said Jamil Ghaderi 3

Recieved Date: 2010-09-18, Accepted Date: 2011-01-07


Sum Cationic Concentration (SCC) are often determined using laborious and time consuming laboratory tests, but it may be more appropriate and economical to develop a method which uses a more simple soil salinity index. The measurement of the Electrical Conductivity (EC) in soil saturation extracts has been widely used for years as a fast and reliable evaluation of soil salinity. The aim of this research was to evaluate the empirical models for predicting SCC based on EC and applying the best type of empirical models with statistics of correlation coefficient, root mean square error, maximum error, mean bias error, mean absolute error, relative error and coefficient of residual mass. For this purpose, two experimental areas (S1, S2) of Khuzestan province, Iran, were selected and four treatments with three replications by series of double rings were designed. The treatments included 25, 50, 75 and 100 cm water application. The results showed that quadratic and linear models were the best models for predicting of SCC based on EC in Pilot S1 and S2 with correlation coefficient 0.999 and 0.997 and 120.5 and 106.1 root mean square errors (RMSE), respectively.


Empirical models, electrical conductivity, Khuzestan plain, sum cationic concentration

Journal: Journal of Food, Agriculture and Environment
Year: 2011
Volume: 9
Issue: 1
Category: Environment
Pages: 465-468

Full text for Subscribers

Note to users

The requested document is freely available only to subscribers/registered users with an online subscription to the Journal of Food, Agriculture & Environment. If you have set up a personal subscription to this title please enter your user name and password. All abstracts are available for free.

Article purchasing

If you like to purchase this specific document such as article, review or this journal issue, contact us. Specify the title of the article or review, issue, number, volume and date of the publication. Software and compilation, Science & Technology, all rights reserved. Your use of this website details or service is governed by terms of use. Authors are invited to check from time to time news or information.

Purchase this Article:   20 Purchase PDF Order Reprints for 15

Share this article :