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The Ag Data Commons is migrating

The Ag Data Commons is migrating to a new institutional portal on Figshare. The current system is available for search and download only. The new platform is open for submission with assistance from Ag Data Commons curators. Please contact NAL-ADC-Curator@usda.gov, if you need to publish or update your datasets.

Growth and Yield Data for the Bushland, Texas, Sorghum Datasets

    This dataset consists of growth and yield data for sorghum [*Sorghum bicolor* (L.)] grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 1988, 1991, 1993, 1997, 1998, 1999, 2003 through 2007, 2014, and 2015 (13 years). In 2006 and 2007, sorghum was also grown for forage. Sorghum was grown on from one to four large, precision weighing lysimeters, each in the center of a 4.44 ha square field, and in those surrounding fields. Water management treatments ranged from irrigation replenishing crop water use fully every week (full) to deficit irrigations ranging down to 1/3 of full, and to dryland cropping without irrigation. Irrigation application methods included sprinkler and subsurface drip irrigation. The entire datasets for individual season years consist of soil water content, weather, crop growth and yield, agronomic calendar, water balance (evapotranspiration, precipitation, dew/frost, irrigation), and lysimeter energy and water balance data. This dataset focuses on the sorghum growth and yield data.

    Walnut Gulch Experimental Watershed, Lucky Hills (Carbon Dioxide and Water Flux)

      The meteorological data and Bowen ratio energy balance systems (BREB) (Model 023/CO2 Campbell Scientific Inc., Logan, Utah, USA) data are used to calculate carbon dioxide and evapotranspiration (ET) fluxes at Lucky Hills. The stored Bowen ration instrument data from the measurement site were transmitted by radio daily to our research station in Tombstone, AZ.

      Walnut Gulch Experimental Watershed, Kendall (Carbon Dioxide and Water Flux)

        Atmospheric carbon dioxide and moisture concentrations were measured with an infrared gas analyzer (IRGA) (LI-6262, LI-COR, Inc. Lincoln, Nebraska, USA). Measurements were made from 1997 through the present at the Kendall site. The meteorological data and Bowen ratio energy balance systems (BREB) (Model 023/CO2 Campbell Scientific Inc., Logan, Utah, USA) data are used to calculate carbon dioxide and evapotranspiration (ET) fluxes.

        P-TRAP Phosphorus Transport Reduction App

          The P-TRAP software allows a user to design different types of phosphorus removal structures based on site conditions, phosphorus absorbing material characteristics and structure parameters. The P-TRAP software allows users to explore different designs to meet performance goals for P removal amounts and material lifetime. A database of P absorbing material characteristics is included based on previous laboratory experiments.

          Data from: Invasive forb benefits from water savings by native plants and carbon fertilization under elevated CO2 and warming

            To test the hypothesis that elevated CO2 and warming would strongly influence invasive species success in a semi‐arid grassland as a result of both direct and water‐mediated indirect effects, the invasive forb Linaria dalmatica was transplanted into mixed‐grass prairie treated with free‐air CO2 enrichment and infrared warming, and survival, growth, and reproduction followed over 4 yr. Leaf gas exchange and carbon isotopic composition in L. dalmatica and the dominant native C3 grass Pascopyrum smithii were also measured.

            Virtual Grower 3

              Initially designed to help greenhouse growers determine heating costs and do simple simulations to figure out where heat savings could be achieved, it has slowly added features so that now, Virtual Grower can help not only identify those savings through different greenhouse designs, but predict crop growth, assist in scheduling, make real-time predictions of energy use, and see the impact of supplemental lighting on plant growth and development. In other words, the software can be a safety net and allow users to experiment with "what if" scenarios in a risk-free setting.


                A hydrologic simulation model for studying the effects of management practices on movement of sediment and chemicals in response to rainfall or irrigation on small field areas. Includes models for plant growth and nutrient cycling, and operates on a continuous basis. Weather conditions and rainfall may be stochastically simulated.

                Data from: Genome-Wide Association Mapping of Loci Associated with Plant Growth and Forage Production under Salt Stress in Alfalfa (Medicago sativa L.)

                  Salinity tolerance is highly desirable to sustain alfalfa production in marginal lands that have been rendered saline. In this study, we used a diverse panel of 198 alfalfa accessions for mapping loci associated with plant growth and forage production under salt stress using genome-wide association studies (GWAS). The plants were genotyped using genotyping-by-sequencing (GBS). A greenhouse procedure was used for phenotyping four agronomic and physiological traits affected by salt stress, including dry weight (DW), plant height (PH), leaf chlorophyll content (LCC), and stomatal conductance (SC). For each trait, a stress susceptibility index (SSI) was used to evaluate plant performance under stressed and non-stressed conditions. Marker-trait association identified a total of 42 markers significantly associated with salt tolerance. They were located on all chromosomes except chromosome 2 based on the alignment of their flanking sequences to the reference genome (*Medicago truncatula*). Of those identified, 13 were associated with multiple traits. Several loci identified in the present study were also identified in previous reports. BLAST search revealed that 19 putative candidate genes linked to 24 significant markers. Among them, B3 DNA-binding protein, Thiaminepyrophosphokinase and IQ calmodulin-binding motif protein were identified among multiple traits in the present and previous studies. With further investigation, these markers and candidates would be useful for developing markers for marker-assisted selection in breeding programs to improve alfalfa cultivars with enhanced tolerance to salt stress.