/AnMtgsAbsts2009.55934 Assessment of Phosphorus and Potassium Soil Spatial Variability in Alfalfa Fields in the High Desert and Intermountain Regions of California.

Tuesday, November 3, 2009
Convention Center, Exhibit Hall BC, Second Floor

Andre Biscaro, Univ. of California, Coop. Ext., Lancaster, CA and Steve Orloff, Univ, of California, Davis, Davis, CA
Abstract:
Alfalfa accounts for the largest cropping area in both the High Desert and Intermountain regions in California, and the use of site-specific management (SSM) can potentially reduce farmers’ fertilizers expenses. Those areas have limited to no studies regarding nutrient SSM, and variable rate (VR) fertilizer application has not been commonly used by farmers in either area. Considerable range of soil nutrient levels have been indentified in some alfalfa fields in California, however, this variability has not been considered for nutrient management. The objectives of this project were to compare three soil sampling densities (A = 1 sample/1.2ha, B = 1 sample/2.4ha and C = 1 sample/4.8ha) in order to establish a pattern for future soil sampling for nutrient variability assessment in selected alfalfa fields in the High Desert and Intermountain regions, and to compare fertilizer usage and cost differences between uniform rate (UR) and VR application methods. Two hundred and four samples were collected in five alfalfa fields located in Lancaster and Yreka, CA, based on a sampling grid density of 1 sample/1.2ha. Most of the soil phosphorus (P) and potassium (K) variability and fertilizer savings due to VR occurred in the fields located in the Intermountain region. Overall, there was a great similarity between the maps created based on sampling densities A and B. Total fertilizer savings due to VR application in all 5 fields (247.3ha) was $3,823. Although VR application resulted in the use of 12% more K fertilizer in a particular field of 36ha located in the Antelope Valley region, application rates on that field ranged from 56 to 280Kg/ha. This fact emphasizes that the more intensive soil sampling of the VR method allowed the identification of portions of fields where soil K would be overestimated with the UR method.