The best fit relationship between SAR and ESP at salt affected soils in north delta
Abstract: Soil samples representing 80 profiles were taken from three districts in Kafr El-Sheikh governorate at North Delta, Egypt namely: El-Zawia (53 profiles), Gharb Al-Mansour (14 pofiles) and Motobes (13 profiles) (2008). These samples were chemically analyzed representing the highly salt affected soils to hand out different purposes that accomplish some experimental objectives. The opportunity was seized through the chemical analysis of these samples and values of sodium adsorption ratio (SAR) were calculated to modify, derive or fit the best fit equation representing the relationship between SAR and exchangeable sodium percentage (ESP). The following equation was fitted with the highest coefficient of determination among the other formulas:
ESP = 1.8667+ 0.9228 (SAR) + 0.001 (SAR)2
(R2=0.9545)
This relation between SAR and ESP with this formula and high coefficient of determination could safely and significantly enable to predict the values of ESP as soon as SAR values were determined.
Statistical measurements such as: t-test, f-test chi-square test and correlation coefficient between the actual and predicted values of ESP using the current formula compared to the actual and predicted values of ESP using the own formulas of some other authors showed that the current formula significantly surpassed any other equation derived or modified before.
Key words: ESP, SAR, cation exchange capacity and prediction.
Publication year 2008
Organization Name
serial title مجلة علوم الأراضي والهندسة الزراعية- جامعة المنصورة
Author(s) from ARC
External authors (outside ARC)
    السيد عامر السيد جازيه
Agris Categories Drainage
AGROVOC
TERMS		 Ion exchange capacity. Mathematics.
Proposed Agrovoc salt affected soils;
Publication Type Journal
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