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פותח על ידי קלירמאש פתרונות בע"מ -
Evaluating impact of irrigation water quality on a calcareous clay soil using principal component analysis
Year:
2008
Source of publication :
Geoderma
Authors :
בר-טל, אשר
;
.
לוי, גיא
;
.
מינץ, דרור
;
.
קאוטסקי, לריסה
;
.
Volume :
144
Co-Authors:

Mandal, U.K., Central Research Institute for Dryland Agriculture, Santoshnagar, P.O.-Saidabad, Hyderabad, 500059, India
Warrington, D.N., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel
Bhardwaj, A.K., Department of Soil Science, NCSU, 100 Derieux Street, Raleigh, NC 27695, United States
Bar-Tal, A., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel
Kautsky, L., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel
Minz, D., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel
Levy, G.J., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel

Facilitators :
From page:
189
To page:
197
(
Total pages:
9
)
Abstract:
Declining yields from farmland in the Bet She'an Valley, Israel, irrigated with Jordan River water, raised concerns about resource management and long term sustainability. An experiment was conducted in a commercial cotton field of the Bet She'an region, to assess the impact of irrigation water quality on soil quality. A randomized block design compared four irrigation sources: Jordan River Water, Spring Water, Treated Waste Water, and Salty Spring Water, applied via drip irrigation to a calcareous silty clay soil for 3 years. Soil samples were collected and analyzed for 20 different physical, chemical and biological attributes. Samples from an adjacent uncultivated area were used as a reference. Principal component analysis (PCA) identified electrical conductivity (EC), fluorescein diacetate enzymatic activity (FDA), exchangeable Na (Ex-Na), apparent steady state saturated hydraulic conductivity (Ksat), and available P as the most important indicators for inclusion in a minimum data set (MDS) used to evaluate soil quality. Multiple regression tested these indicators against each of 4 specified management goals, reflecting soil quality attributes, i.e., sodium adsorption ratio (SAR) of soil solution, infiltration rate, soil loss, and cotton yield. There was a significant relationship between the indicators and 3 of the goals but not with cotton yield. Soil quality indices (SQI) were calculated using a PCA weighting factor and each MDS indicator scored using linear transformation. The SQI was highest for uncultivated soil (2.945), followed by Treated Waste Water (1.471), Spring Water (0.923), Salty Spring Water (0.823) and Jordan River Water (0.582) irrigated soils. The order of relative contribution of the indicators to the SQI was FDA (35.2%), Ksat (25.0%), Ex-Na (19.2%), EC (13.4%), and available P (7.2%). The method successfully identified Jordan River Water as the most deleterious, and Treated Waste Water as the best, irrigation treatment when considering soil quality. © 2007 Elsevier B.V. All rights reserved.
Note:
Related Files :
Electrical conductivity (EC)
electric conductivity
enzyme activity
Jordan River
physicochemical property
salinity
Soil quality index
Soils
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.geoderma.2007.11.014
Article number:
0
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
18657
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:23
You may also be interested in
Scientific Publication
Evaluating impact of irrigation water quality on a calcareous clay soil using principal component analysis
144

Mandal, U.K., Central Research Institute for Dryland Agriculture, Santoshnagar, P.O.-Saidabad, Hyderabad, 500059, India
Warrington, D.N., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel
Bhardwaj, A.K., Department of Soil Science, NCSU, 100 Derieux Street, Raleigh, NC 27695, United States
Bar-Tal, A., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel
Kautsky, L., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel
Minz, D., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel
Levy, G.J., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Bet Dagan, 50250, Israel

Evaluating impact of irrigation water quality on a calcareous clay soil using principal component analysis
Declining yields from farmland in the Bet She'an Valley, Israel, irrigated with Jordan River water, raised concerns about resource management and long term sustainability. An experiment was conducted in a commercial cotton field of the Bet She'an region, to assess the impact of irrigation water quality on soil quality. A randomized block design compared four irrigation sources: Jordan River Water, Spring Water, Treated Waste Water, and Salty Spring Water, applied via drip irrigation to a calcareous silty clay soil for 3 years. Soil samples were collected and analyzed for 20 different physical, chemical and biological attributes. Samples from an adjacent uncultivated area were used as a reference. Principal component analysis (PCA) identified electrical conductivity (EC), fluorescein diacetate enzymatic activity (FDA), exchangeable Na (Ex-Na), apparent steady state saturated hydraulic conductivity (Ksat), and available P as the most important indicators for inclusion in a minimum data set (MDS) used to evaluate soil quality. Multiple regression tested these indicators against each of 4 specified management goals, reflecting soil quality attributes, i.e., sodium adsorption ratio (SAR) of soil solution, infiltration rate, soil loss, and cotton yield. There was a significant relationship between the indicators and 3 of the goals but not with cotton yield. Soil quality indices (SQI) were calculated using a PCA weighting factor and each MDS indicator scored using linear transformation. The SQI was highest for uncultivated soil (2.945), followed by Treated Waste Water (1.471), Spring Water (0.923), Salty Spring Water (0.823) and Jordan River Water (0.582) irrigated soils. The order of relative contribution of the indicators to the SQI was FDA (35.2%), Ksat (25.0%), Ex-Na (19.2%), EC (13.4%), and available P (7.2%). The method successfully identified Jordan River Water as the most deleterious, and Treated Waste Water as the best, irrigation treatment when considering soil quality. © 2007 Elsevier B.V. All rights reserved.
Scientific Publication
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