Discrimination and Remote Sensing can be Used to Evaluate Soybean Yield Variability
Diagnostic tools for measuring yield variability and assessing the cause of soybean (Glycine max) yield variability are needed to evaluate the impact of different management options on profitability. The objectives of this study were to determine if remote sensing and 13C discrimination (Δ) can be used to evaluate soybean yield variability. Research was conducted in five eastern South Dakota fields between 1999 and 2001. At 50 sampling points in three fields (Brookings, Moody, and SDSU):(i) crop reflectance was measured;(ii) gravimetric soil water (0-60 cm) content was measured periodically during the growing season;(iii) soybean yields were measured by a combine equipped with a yield monitor and differentially corrected global positioning system (DGPS); and (iv) plant samples were collected and analyzed for total N and Δ. Elevation and sampling point locations were measured with a carrier phase DGPS …
6th International Conference on Precision Agriculture
Clay, D. E.; Clay, S. A.; Jackson, J.; Dalsted, K.; Reese, C.; Liu, Z.; Malo, D. D.; and Carlson, C. G., "Discrimination and Remote Sensing can be Used to Evaluate Soybean Yield Variability" (2002). Agronomy, Horticulture and Plant Science Faculty Publications. 168.