|Tekeste, M - UNIVERSITY OF GEORGIA|
|Seymour, Lynne - UNIVERSITY OF GEORGIA|
Submitted to: Transactions of the ASABE
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: June 2, 2009
Publication Date: N/A
Interpretive Summary: Reducing tillage in row crop production has two main benefits: reduced soil disturbance and reduced energy use. However, some compacted soils require some tillage to remove the compacted layer. Accurate soil sampling that determines the proper depth of tillage can significantly reduce the amount of energy used for tillage which is often conducted too deeply. An experiment was performed to determine if soil moisture influences the perceived hardpan depth for a soil found in South-Central Alabama. Results showed that soil drying did cause a change in the depth of soil compaction and the particular locations of extreme compaction. Continued research in this area should allow producers to minimize energy use and time in their tillage and sampling operations.
Technical Abstract: Soil hardpans found in many of the Southeastern USA soils reduce crop yields by restricting the root growth. Site-specific soil compaction management to alleviate this problem requires determination of the spatial variability and mapping of soil hardpans. The objective of this study was to determine the spatial variability of soil hardpan as influenced by soil moisture. Geo-referenced soil cone index measurements were taken in 200 grid cells (10 m X 10 m grid cell size) on Pacolet sandy loam soil (Fine, kaolinitic, thermic Typic Kanhapludults) in Auburn, AL (USA) on June 29, 2004 and August 25, 2004 representing wet and dry soil measurement dates. Core samples were also taken in 5 cm depth increments up to a depth of 65 cm for soil moisture and bulk density determinations. Statistical and geostatistical methods were used for the data analysis. In the 0-35 cm depth, the soil moisture had dried significantly by August 25, 2004 (Dry) as compared to the soil moisture on June 29, 2004 (Wet). An isotropic spherical semivariogram model best fit the semivariances of the peak cone index for wet and dry soil conditions. Soil drying increased the peak cone index and the maximum semivariance value. Small but statistically significant differences were also observed on the predicted depth to the peak cone index as the soil dried in the 0-35 cm depth. In the dry soil condition, the semivariances of the predicted depth to the peak cone index were nearly constant over the separation distances suggesting that the depth to the hardpan did not exhibit substantial spatial dependence.