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 AtmacaRecieved 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 (ECe) 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 (ECe, EC1:2 and EC1:5), 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 EC1:2 or EC1:5 to ECe, 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 EC1:2 or EC1:5 to ECe, 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 dilutionJournal: Journal of Food, Agriculture and Environment
Year: 2013
Volume: 11
Issue: 1
Category: Environment
Pages: 748-750
Full text for Subscribers
Information:
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 :