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Data from: Registration of conventional soybean germplasm JTN-5110 with resistance to nematodes and fungal pathogens

    This dataset was generated from soybean (*Glycine max*) field trials conducted at the West Tennessee Research and Education Center in Jackson, TN and at the Research and Education Center at Milan in Milan, TN as well as from molecular marker screening conducted at the West Tennessee Research and Education Center in Jackson, TN. Table 3 includes measured data for height, yield, and seed size, and rating data for lodging and seed quality for JTN-5110, 5601T, and select other released germplasm lines and cultivars. Table 5 includes rating data for JTN-5110 and soybeans with established SCN resistance from simple sequence repeat (SSR) markers: Satt309 and Sat_168, associated with *rhg1* on chromosome 18; Sat_162, associated with *Rhg4* on chromosome 8; and Satt574, associated with *cqSCN-005* on chromosome 17. Table 7 includes rating data for JTN-5110 and check cultivars from frogeye leafspot (caused by *Cercospora sojina*) field disease screenings conducted in Milan, TN from 2010-2012.

    Data from: Interseeded cover crop mixtures influence soil water storage during the corn phase of corn-soybean-wheat no-till cropping systems

      This study was initiated to evaluate, during the following corn (*Zea mays* L.) phase, the effects of interseeded cover crops on soil temperature, soil water balances, evapotranspiration, infiltration, and yield and water use efficiency of corn. The study was conducted at the USDA Beltsville Agricultural Research Center, Beltsville, MD from 2017 through 2020. The cropping systems under study were primarily sequences of corn-soybean (*Glycine max* L.)-wheat (*Triticum aestivum* L.)-double crop soybean all planted with no-tillage management.

      Evapotranspiration, Irrigation, Dew/frost - Water Balance Data for The Bushland, Texas Soybean Datasets

        This dataset consist of 15-minute and daily amounts of evapotranspiration (ET), dew/frost fall, precipitation (rain/snow), irrigation, scale counterweight adjustment, and emptying of drainage tanks, all in mm. The values are the result of a rigorous quality control process involving algorithms for detecting dew/frost accumulations, and precipitation (rain and snow). Changes in lysimeter mass due to emptying of drainage tanks, counterweight adjustment, maintenance activity, and harvest are accounted for such that ET values are minimally affected. Data are for soybean [*Glycine max* (L.) Merr.] grown 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 on large, precision weighing lysimeters, each in the center of a 4.44 ha square field.

        Weighing Lysimeter Data for The Bushland, Texas, Soybean Datasets

          This dataset consists of five years of weighing lysimeter data for soybean [Glycine max (L.) Merr.] grown 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 1995, 2003, 2004, and 2010, 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, each in the center of a 4.4-ha square field. 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. This particular dataset contains lysimeter soil water storage and drainage data, and data from in-soil and above-soil sensors. Properties sensed included wind speed, air temperature and relative humidity, components of the radiation balance (e.g., net radiation, incoming and reflected shortwave, photosynthetically active radiation (PAR), incoming and reflected longwave, thermal infrared emitted by the plant/soil surface), soil heat flux, soil temperature, and soil volumetric water content at certain depths. Not all properties were always sensed in any one year.

          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.

            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.

              Data and code from: The Impacts of Parental Choice and Intrapopulation Selection for Seed Size on the Uprightness of Progeny Derived from Interspecific Hybridization between Glycine max and Glycine soja

                This dataset contains all data and code necessary to reproduce the analysis described under the heading "Experiment 3" in the manuscript: Taliercio, E., D. Eickholt, Q. D. Read, T. Carter, N. Waldeck, and B. Fallen. 2023. The impacts of parental choice and intrapopulation selection for seed size on the uprightness of progeny derived from interspecific hybridization between *Glycine max* and *Glycine soja*. In revision. (Update citation when MS is accepted) Included are .Rmd notebook containing code, HTML rendered output of notebook, and .xlsx data files required to reproduce analyses described in notebook.