Journal of Food, Agriculture and Environment

Determination of regression equations to predict soil extract salinity from aqueous soil samples (1:2 and 1:5) for calcareous and non-calcareous loamy soils 

Author(s):

Gülüzar Duygu Semiz, Ömer Atmaca

Recieved Date: 2012-09-18, Accepted Date: 2013-01-10

Abstract:

The aim of the study was to reveal regression equations to predict soil extract salinities (EC_e) for calcareous and non-calcareous soils. For this purpose, 12 calcareous and 12 non-calcareous soil samples were artificially salinized by 1.0, 5.0 and 10 dSm^-1 saline waters which were prepared with NaCl. In order not to disturb the homogeneity of application of each sample, the saline waters were added to unapplied soils by the ratio of 1:1(w/ w), and then oven dried at 105°C until reaching constant weight to  prepare the saline soils to analyze. Hence, 3  salinity  levels  (1.0,  5.0  and  10 dSm^-1), 24 soil samples (12 calcareous and 12 non-calcareous) and 3 methods (EC_e, EC_1:2 and EC_1:5), total of 216 analyzes were performed. Saturation percentage of soils were recorded in order to recalculate aqueous soil samples back to soil:water ratio at saturation level. Thus,  8 regression equations were developed for specified conditions such as i) four equations for direct conversion from EC_1:2 or EC_1:5 to EC_e, where there was no data on soil:water ratio at saturation point, for calcareous and non-calcareous conditions and ii) another four equations were calculated by soil:water ratio at saturation point from EC_1:2 or EC_1:5 to EC_e, on where there were data on soil:water ratio at saturation point, for calcareous and non-calcareous conditions. 

Keywords:

Calcareous soil, non-calcareous soil, loamy soil, salinity, regression equation, soil:water ratio, soil extract, soil paste, soil water dilution

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Journal: Journal of Food, Agriculture and Environment
Year: 2013
Volume: 11
Issue: 1
Category: Environment
Pages: 748-750

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