A site-specific and dynamic modeling system for zoning and optimizing variable rate irrigation in cotton

Irrigation has been rapidly growing in west Tennessee during the recent decade. Farmers tend to invest in center pivot systems to avoid yield loss due to unpredictable dry periods. The spatiotemporal variation in soil and weather conditions needs to be studied for irrigation scheduling. If spatial soil variation is significant, variable rate irrigation may be the optimum option. This study aimed to investigate field-scale soil spatial variation for a typical agricultural field in West Tennessee. The field (73 ha) was sampled and apparent soil electrical conductivity data was collected. Soil basic information including sand, silt and clay percentages and bulk density as well as soil water content were measured at four different depths across the field. Geostatistical analysis showed spatial variability in soil textural components and water content was significant and correlated to yield patterns. The result showed ECa was a useful proximal data to investigate soil spatial variability in the field of study.

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