Prediction Equations for Salinity Appraisal in Clay Loam Soils of Southern Iraq
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Abstract
soil: water extracts (1 : 2, 1 : 3, I : 4 and 1 : 5) in clay loam soils of southern Iraq. The results indicated a significant linear relationship with measured and calculated values from the regression equations developed from the above soil: water extracts. Out of the different soil: water extracts, the prediction equation from 1 : 3 soil water extract showed the highest predictability (99.4%) with least standard deviation of difference. This equation when tested for ECe of samples from Missan province, confirmed its suitability. The regression equation was as follows: Y=0.5+3.51 X (r=0.997**) where, Y=ECe; and X =EC in 1 : 3 soil water extract.Downloads
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Submitted
03-12-2016
Published
17-12-2016
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Aggarwal, R. K., Hussain, T., & El-Dosoky, H. (2016). Prediction Equations for Salinity Appraisal in Clay Loam Soils of Southern Iraq. Annals of Arid Zone, 22(4). https://epubs.icar.org.in/index.php/AAZ/article/view/63884