U.S. flag

An official website of the United States government

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).

      Data from: Cultivar resistance to common scab disease of potato is dependent on the pathogen species

        All data from the paper "Cultivar resistance to common scab disease of potato is dependent on the pathogen species." Three separate datasets are included: 1.A csv file with the disease severity of three common scab pathogens across 55 different potato cultivars in a greenhouse pot assay (Figures 2-5 in the associated paper). The included R script was used with this data to perform the ANOVA for the data from the greenhouse pot assay (Table 2 in the associated paper). This script can be used in R for any similar dataset to calculate the significance and percent of total variation for any number of user-defined fixed effects. 2. A zipped file with all of the qPCR data for the expression of the txtAB genes (Figure 6 in the associated paper). 3. An Excel file with the HPLC data for making the thaxtomin detection standard curve and quantifying the amount of thaxtomin in the test sample.

        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.

          NEWT: National Extension Web-mapping Tool

            National Extension Web-mapping Tool (or NEWT), is the key in efforts to make spatial data available within the Cooperative Extension System. NEWT requires no GIS experience to use. NEWT provides access to relevant spatial data at a variety of scales (national, state, county) in useful formats (maps, tables, graphs),

            National Plant Germplasm System

              The U.S. National Plant Germplasm System (NPGS) is collaborative effort to safeguard the genetic diversity of agriculturally important plants.

              Data from: Color Analysis of Storage Roots from the USDA, ARS Sweetpotato Germplasm Collection

                The periderm (skin) and stele (flesh) of sweet potato storage roots were measured using a Konica Minolta Chroma Meter, and data were recorded using the CIE 1976 L*a*b* and CIE L*C*h* color spaces. Data parameters presented are lightness (L*), red-green coordinate (a*), yellow-blue coordinate (b*), color intensity or chroma (C*), and hue angle (H*). Also included in this data set are percentage dry matter and root densities as these data are correlated to color values.