Start Date: Sep 16, 2013
End Date: Sep 30, 2014
Advanced information technologies (remote imagery, geophysical techniques, model- and design-based sampling strategies, spatial statistics, and GIS) will be used to assess soil salinity and other soil properties influencing crop yield, particularly oilseed crops used in biofuel production. The approach uses the ECa-directed soil sampling approach developed by Corwin and Lesch (2003, 2005, 2013) and the remote imagery approach of Lobell et al. (2010) as the basis for characterizing spatial variation of soil properties (e.g., salinity, trace elements, texture, plant available water, pH, SAR, etc.) influencing crop yield at field scale and larger spatial extents. Yield monitoring of fields identified for the study along with ECa-directed soil sampling will provide the spatial information to develop a crop yield response model relating yield of an oilseed crop (e.g., mustard or canola) to edaphic (i.e., soil-related) properties. The crop yield response model will serve as a module in Soil and Water Assessment Tool (SWAT) to predict oilseed crop yield.