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Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020

    This dataset contains research data obtained during a long-term subsurface drainage research project conducted at the Southeast Purdue Agricultural Center in Jennings County, Indiana, from 1984 to 2020. The original goals of the project were to evaluate the effects of different subsurface drain spacings (drainage intensities) on drain flow and corn growth and yield. Additional objectives were added over the years, especially related to movement of agricultural chemicals (nitrate-N, other nutrients, and pesticides) through the soil into the drainage waters.

    Legacy Phosphorus and Potassium Correlation Experiments: Qulin, Missouri

      Correlation experiments for P and K were conducted from 1968-1973 at a research farm in Qulin, Missouri to better define the relationships between soil tests, crop yields, and fertilizer treatments. Three crop rotations each were conducted for P and K trials (ranges C, D, E, F, G, and H), and included corn, soybean, wheat, cotton, and sorghum.

      Alfalfa Response to Potassium Rate and Timing of Application

        Alfalfa production is a key component of livestock production in Tennessee. Alfalfa has the ability to take up luxury amounts of potassium, which can lead to high plant tissue K concentrations and lower concentrations of other nutrients. The objectives of this research were to determine 1) whether Tennessee K recommendations for alfalfa were sufficient and accurate, and 2) if splitting K applications impacted alfalfa yield.

        Data from: Feasibility of Infiltration Galleries for Managed Aquifer Recharge in the Mississippi River Valley Alluvial Aquifer of Northeast Arkansas

          The information in this dataset is from "Feasibility of Infiltration Galleries for Managed Aquifer Recharge in the Mississippi River Valley Alluvial Aquifer of Northeast Arkansas" by Godwin et al., 2020. Included in the dataset are the following raw data: Table of well log point; Raw geophysical data files; Soil sample textural analysis data; Soil sample chemical analysis data.

          Data from: A database for global soil health assessment

            The SoilHealthDB database integrates soil health measurements conducted in the field from sites across the globe. SoilHealthDC currently focuses on four main conservation management methods: cover crops, no-tillage, agro-forestry systems, and organic farming. These studies represent 354 geographic sites (i.e., locations with unique latitudes and longitudes) in 42 countries around the world. The SoilHealthDB includes 42 soil health indicators and 46 background indicators that describe factors such as climate, elevation, and soil type.