Ahmad Khalilian, Will Henderson, Young Han, Tom Owino, and Burhan Niyazi. Clemson University, Edisto Research & Education Center, 64 Research Rd., Blackville, SC 29817
The main goal of this study was to determine the optimum irrigation scheduling method for cotton production in the southeastern coastal plain soils utilizing site-specific irrigation management. A variable rate linear-move sprinkler irrigation system was used to compare five different irrigation scheduling methods. The soil electrical conductivity (EC) and texture data was used to divide the test field into five management zones. The following treatments were applied at random to the plots of each zone: irrigation scheduling based on 1) soil moisture sensors; 2) pan evaporation data and a crop coefficient; 3) tensiometers; 4) reference evapotranspiration model (Jensen-Haise); and 5) no irrigation. The effects of various irrigation scheduling methods on water use, crop response, and yield were determined. It was found that soil moisture sensors and tensiometers can be used successfully for site-specific irrigation scheduling in production fields. However, since the evaporation pan and ET models provide irrigation depths independent of the soil variations, it is not suitable for site-specific irrigation management.