EVALUATION OF SOIL CHEMICAL PROPERTIES VARIABILITY USING GIS TECHNIQUE IN WADI SAIDA AREA-ASWAN-EGYPT | ||||
| Journal of Agricultural and Environmental Sciences | ||||
| Volume 22, Issue 1, April 2023, Page 309-337 PDF (978.45 K) | ||||
| Document Type: Full research articles | ||||
| DOI: 10.21608/jaesj.2023.196694.1067 | ||||
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| Authors | ||||
Atef AA Sweed   1; Ahmed Ghallab1; Mohsen Gameh2; Hasnaa Naser Naser1
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| 1Department of Soil Science, Faculty of Agriculture, Aswan University, Aswan City, Egypt | ||||
| 2Department of Soil and Water, Faculty of Agriculture, Assiut University | ||||
| Abstract | ||||
| Accurate evaluating of soil properties is an important factor for assessing soil fertility, especially in newly reclaimed lands. Wadi El-Saida region (24° 57ʹ and 25° 06ʹ N latitude and 32° 39ʹ and 32° 48ʹ) is regarded one of the most important agricultural investment areas adopted by the Egyptian government in order to achieve the goals of sustainable agricultural development in Aswan governorate. For this purpose, An 87 soil samples were collected positions from the surface and subsurface layers using GIS. Our findings obtained indicated that the soil pH ranged between 7.18 (slightly) and 9.05 (strongly alkaline). While, ECe (2.23-281.10 dSm−1) and CaCO3 (0.09 – 13.57%) indicated that the soil under study was varied among slight to very strongly saline (281.10 dS m-1) and non-calcareous to strongly calcareous, respectively. Meanwhile, the cation Exchange Capacity (CEC) and exchangeable sodium percentage (ESP) ranged from 8.22 to 53.51 Cmolckg-1 and 0.50 to 93.49%, respectively. Furthermore, their content of soil organic matter (SOM), as their values did not exceed 2.91%. The correlation coefficient for all studied traits ranged between positive and negative, especially that the positive correlation of ECe has a positive correlation with ESP. In short, the studied area needs strenuous efforts to reclaim it and make it suitable for cultivation through modifying its properties. | ||||
| Keywords | ||||
| Spatial distribution; soil chemical properties; multivariate analysis; GIS | ||||
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