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Data from: Ploidy determination of buffel grass accessions in the USDA National Plant Germplasm System collection by flow cytometry

    The DNA content of 568 accessions of buffel grass in the USDA National Plant Germplasm System was determined through flow cytometry to predict their ploidy levels. Based on DNA content, 308 accessions were determined as tetraploids with 36 chromosomes, 139 as pentaploids with 45 chromosomes, 20 as hexaploids with 54 chromosomes, two as septaploids with 63 chromosomes, and 99 as aneuploids. Chromosome counts of selected plants confirmed ploidy levels from DNA findings. Chromosome number of euploid plants could be predicted from the DNA data.

    GOSSYM

      GOSSYM is a dynamic, process-level simulation model of cotton growth and yield. GOSSYM essentially is a materials balance model which keeps track of carbon and nitrogen in the plant and water and nitrogen in the soil root zone. GOSSYM predicts the response of the field crop to variations in the environment and to cultural inputs. Specifically, the model responds to weather inputs of daily total solar radiation, maximum and minimum air temperatures, daily total wind run, and rainfall and/or irrigation amount. The model also responds to cultural inputs such as preplant and withinseason applications of nitrogen fertilizer, row spacing and within row plant density as they affect total plant population, and cultivation practices.

      2DLEAF

        A 2D mechanistic model of CO2 and water vapor movement in a leaf and photosynthesis.

        WinFlume 1.06.0006

          WinFlume is a Windows-based computer program used to design and calibrate long-throated flume and broad-crested weir flow measurement structures. The software was developed through the cooperative efforts of the Bureau of Reclamation, the Agricultural Research Service, and the International Institute for Land Reclamation & Improvement . Primary funding for WinFlume's development has come from the Bureau of Reclamation's Water Conservation-Field Services Program.

          PECMAN Software

            Peanut Curing Manager (PECMAN) is a decision support system that assists drying facility managers with inventory control. It schedules sampling and removal times, estimates time remaining on dryer and current moisture content. Cooperators have reported reduced drying costs and improved peanut quality.

            Irrigator Pro

              Irrigator Pro is an expert system designed to provide irrigation scheduling recommendations based on scientific data resulting in conservation minded irrigation management. The success of Irrigator Pro for Peanuts created interest in other groups. A collaborative effort between the NPRL, Cotton Commission, University of Georgia, and the Peanut Foundation was established to create comparable models for cotton and corn.

              ARS-Media

                ARS-Media utilizes a linear programming optimization algorithm to determine the combination of salts, acids, and bases that satisfies any given target solution of ions allowing researchers to construct experimental designs that use ions as individual factors and, hence, experimentally determine ion-specific effects on biological responses.

                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.

                  PhotoSim

                    This program models the photosynthetic response of 13 floriculture crops to light, temperature, or carbon dioxide (CO2) and allows users to estimate the impact of adjusting their greenhouse environment. You can predict the impact on photosynthesis for different management changes (shading, supplemental high pressure sodium lighting, CO2 injection,or heating or cooling).