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dc.contributor.advisor Benes, Sharon E en_US Singh, Amninder 2018-01-18T22:49:10Z 2018-01-18T22:49:10Z 2018 en_US 2018-05
dc.description.abstract Soil salinity is a major factor affecting irrigated agriculture in the western San Joaquin Valley of California. Soil salinity is a spatially and temporally dynamic property, and thus, mapping at the field scale requires a rapid and reliable means of taking geospatial measurements. EM-38 soil salinity surveys were conducted at the SJRIP (San Joaquin River Improvement Project) facility managed by the Panoche Water District (Los Banos, California) where subsurface drainage water is re-used on forages such as ‘Jose’ tall wheatgrass (Thinopyrum ponticum var. ‘Jose’) and alfalfa (Medicago sativa) to reduce drainage discharge and salt loading into the San Joaquin River. Soil samples taken to a depth of 120 cm (4 ft.) in 30 cm (1 ft.) increments for calibration of EM-38 data, were analyzed for pH, ECe, gravimetric water content and saturation percentage. The average ECe for spring and fall 2016 samples was 12.5 to 19.3 dS/m for tall wheatgrass (TWG) fields and 8.9 to 14.4 dS/m for alfalfa (ALF) fields. In 2017, the average ECe ranged from 14.4 to 18.6 ds/m and from 9.5 to 13.3 ds/m for TWG and ALF fields, respectively. GIS maps were developed depicting the spatial variability of salts in the fields. Data will be used to calibrate a computer model (CSUID) developed as a decision support tool to optimize soil leaching requirement guidelines for irrigation water of varying salinity levels, with the overall goal of improving the sustainability of forage production using saline waters in the SJRIP.
dc.format.extent 178 pages en_US
dc.language.iso en en_US
dc.subject.other Computer Model en_US
dc.subject.other Drainage water reuse en_US
dc.subject.other EM-38 en_US
dc.subject.other GIS en_US
dc.subject.other Leaching requirement en_US
dc.subject.other Soil salinity en_US
dc.title Use of em-38 soil surveys in forage fields at a saline drainage water reuse site to calibrate a hydro-salinity model for decision support
dc.type Text en_US 2018-01-18T22:49:10Z M.S. en_US
dc.type.genre Theses en_US
dc.contributor.department California State University, Fresno. Jordan College of Agricultural Sciences and Technology. Department of Plant Science en_US
dc.contributor.committeeMember Quinn, Nigel W.T. en_US
dc.contributor.committeeMember Sharma, Florence Cassel en_US
dc.subject.category Soil sciences en_US

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