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Web URL(s): | http://archive.lib.msu.edu/tic/ressum/2017/205.pdf Last checked: 05/25/2018 Requires: PDF Reader |
Publication Type: | Report |
Author(s): | Soldat, Doug; Bleam, William |
Author Affiliation: | Ph.D. and University of Wisconsin-Madison |
Title: | A new sodicity index for improving risk assessment and management of saline and sodic soils |
Section: | ITM: Sustainable management: Soil problems Other records with the "ITM: Sustainable management: Soil problems" Section |
Source: | Turfgrass and Environmental Research Program: 2017 Research Summaries. 2017, p. 205-209. |
Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
# of Pages: | 5 |
Keywords: | TIC Keywords: Electrical conductivity; Irrigation water quality; Models; Saline soils; Saline water; Sodic soils; Sodium Adsorption Ratio |
Language: | English |
References: | 0 |
See Also: | Other Reports from this USGA research project: 2015-12-527 |
Note: | Screenshot Graphs |
USGA Summary Points: | Proper assessment of irrigation water quality is critical for the golf industry. Current sodicity indices are flawed and likely produce inaccurate estimates of sodicity hazard. After irrigation is applied, the solution concentrates which changes the SAR of the soil water solution. We developed equations for two boundaries (a best case and a worst case scenario) that describe how the SAR is expected to change as the EC of the soil water solution increases. We studied the SAR/EC relationships of several rivers and found that the majority were bounded by the LSAR and ESAR boundaries as the water concentrated. Waters high in alkalinity tended toward the LSAR boundary, while waters low in alkalinity tended toward the ESAR. The LSAR is a simple, accurate, conservative estimate of sodicity hazard and should be favored over all existing sodicity indices in turfgrass management and agricultural production. We developed a spreadsheet that irrigation water laboratories or end users could use to follow our method. |
ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Soldat, D., and W. Bleam. 2017. A new sodicity index for improving risk assessment and management of saline and sodic soils. USGA Turfgrass Environ. Res. Summ. p. 205-209. |
Fastlink to access this record outside TGIF: | http://tic.lib.msu.edu/tgif/flink/RECNO/298183 |
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Web URL(s) : | http://archive.lib.msu.edu/tic/ressum/2017/205.pdf Last checked: 05/25/2018 Requires: PDF Reader |
MSU catalog number: | b3609415 |
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