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Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) - Field trial data from Live Oak, Florida: ARDN products

    ARDN (Agricultural Research Data Network) annotations for "Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) - Field trial data from Live Oak, Florida". The ARDN project (https://data.nal.usda.gov/ardn) is a network of datasets harmonized and aggregated using a common vocabulary termed ICASA. ICASA is a recommended data dictionary by USDA NAL (https://data.nal.usda.gov/data-dictionary-examples) described in detail here: www.tinyurl.com/icasa-mvl. Research was conducted at the North Florida Research and Education Center - Suwannee Valley, located near Live Oak, Florida (30°18’22” N, 82°54’00” W). Corn, carrots, peanuts, and rye (cover crop) were grown on Hurricane, Chipley, and Blanton soil complexes that are all over 90% sand. The experimental design utilized a randomized complete block design with split plot that incorporated two fields with eight blocks (treatment replicates) and fifteen plots per block. The main plots contained four irrigation treatments, and the sub-plots contained three different nitrogen rates. The SMS irrigation treatment contained three additional nitrogen treatments. The north field in the study (System 2) was a corn-cover crop-peanut-cover crop rotation, while the south field (System 1) was a corn-carrot-peanut-cover crop rotation. During each growing season, soil moisture was monitored using capacitance type soil moisture sensors, soil nitrogen was measured through bi-weekly soil samples at four depths, and biomass was collected four times with the final sample being collected just prior to harvest.

    Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) - Field trial data from Live Oak, Florida

      Research was conducted at the North Florida Research and Education Center - Suwannee Valley, located near Live Oak, Florida (30°18’22” N, 82°54’00” W). Corn, carrots, peanuts, and rye (cover crop) were grown on Hurricane, Chipley, and Blanton soil complexes that are all over 90% sand. The experimental design utilized a randomized complete block design with split plot that incorporated two fields with eight blocks (treatment replicates) and fifteen plots per block. The main plots contained four irrigation treatments, and the sub-plots contained three different nitrogen rates. The SMS irrigation treatment contained three additional nitrogen treatments. The north field in the study (System 2) was a corn-cover crop-peanut-cover crop rotation, while the south field (System 1) was a corn-carrot-peanut-cover crop rotation. During each growing season, soil moisture was monitored using capacitance type soil moisture sensors, soil nitrogen was measured through bi-weekly soil samples at four depths, and biomass was collected four times with the final sample being collected just prior to harvest.

      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.

        Data from: Mitigating nitrogen pollution with under-sown legume-grass cover crop mixtures in winter cereals

          This study was part of a cover crop-based, organic rotational no-till cropping systems experiment conducted from 2015-2017 at Pennsylvania State University’s Russell E. Larson Agricultural Research Center in Rock Springs, PA, USA, employing a corn (*Zea mays* subsp. mays L.), soybean (*Glycine max* (L.) Merr.), spelt (*Triticum spelta* L.) rotation that is typical for feed and forage farmers in the Mid-Atlantic USA. Data include: Nitrate leaching from anion resin bags; Nitrous oxide fluxes from static chambers and isotopomers; Soil inorganic N including ammonium and nitrate; Soil moisture and temperature; Cover crop biomass as well as carbon and nitrogen content and nitrogen isotope ratios; Cash crop yields.

          CCE Nitrogen Index Tool

            The Nitrogen Index is a tool written in the programming language Java that is used to calculate nitrogen uptake and leaching in farming techniques.

            WATSUIT

              Predicts the salinity, sodicity, and toxic-solute concentration of the soil-water within a simulated crop root zone resulting from the use of a particular irrigation water of given composition and at a specified leaching fraction. It can be used to evaluate the effect of a given salinity level (or solute concentration) on crop yield and of a given sodicity level on soil permeability.

              NUOnet (Nutrient Use and Outcome Network) database

                The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows.

                Data from: Gas emissions from dairy barnyards

                  To assess the magnitude of greenhouse gas (GHG) fluxes, nutrient runoff and leaching from dairy barnyards and to characterize factors controlling these fluxes, nine barnyards were built at the U.S. Dairy Forage Research Center Farm in Prairie du Sac, WI (latitude 43.33N, longitude 89.71W). The barnyards were designed to simulate outdoor cattle-holding areas on commercial dairy farms in Wisconsin. Each barnyard was approximately 7m x 7m; areas of barnyards 1-9 were 51.91, 47.29, 50.97, 46.32, 45.64, 46.30, 48.93, 48.78, 46.73 square meters, respectively. Factors investigated included three different surface materials (bark, sand, soil) and timing of cattle corralling. Each barnyard included a gravity drainage system that allowed leachate to be pumped out and analyzed. Each soil-covered barnyard also included a system to intercept runoff at the perimeter and drain to a pumping port, similar to the leachate systems.