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

    This dataset consists of growth and yield data for upland cotton [*Gossypium hirsutum* (L.)] grown for lint and seed at the USDA-ARS Conservation and Production Research Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 2000 through 2004, 2008, 2010, 2012, and 2020 on up to four large, precision weighing lysimeters, each in the center of a 4.44 ha square field similarly cropped. Crops were grown variously under irrigated, deficit irrigated, and dryland conditions. The 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. 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 cotton growth and yield data.

    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.

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

        This dataset consists of growth and yield data for soybean [Glycine max (L.) Merr.] grown for seed 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 1995, 2003, 2004, 2010 and 2019. In the 1995, 2003, 2004, and 2010 seasons, soybean was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. In 2019, soybean was grown on four large, precision weighing lysimeters and their surrounding and contiguous 4.4 ha square fields. 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 soybean growth and yield data.

        Data from: Phenotypic and nodule microbial diversity among crimson clover (Trifolium incarnatum L.) accessions

          Phenotypic evaluation of 37 crimson clover (Trifolium incarnatum L.) accessions from the US National Plant Germplasm System. Focus of the trial was on traits important for cover crop performance, including fall emergence, winter survival, flowering time, biomass, nitrogen (N) content in aboveground biomass, and proportion of plant N from biological nitrogen fixation (BNF). Experiments were conducted at the Beltsville Agricultural Research Center (Maryland, USA) across three growing seasons (2012-2013, 2013-2014, 2014-2015).

          UNSATCHEM

            Simulates water, heat, carbon dioxide and solute movement in one-dimensional variably saturated media.

            SWMS-3D

              Simulates water and solute movement in three-dimensional variably saturated media.

              SWMS-2D

                Simulates water and solute movement in two-dimensional variably saturated media.

                HYDRUS-1D

                  HYDRUS-1D is a Microsoft Windows-based modeling environment for analysis of water flow and solute transport in variably saturated porous media. The software package includes the one-dimensional finite element model HYDRUS (version 7.0) for simulating the movement of water, heat, and multiple solutes in variably saturated media. The model is supported by an interactive graphics-based interface for data-preprocessing, discretization of the soil profile, and graphic presentation of the results.

                  HYDRUS

                    Simulates water, heat, and solute movement in one-dimensional variably-saturated porous medium.

                    CHAIN2D

                      Simulates the movement of water, heat, and multiple solutes in two dimensional variably-saturated porous media.