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Data from: Distance-based decision-making in oviposition by Tribolium castaneum Herbst (Coleoptera: Tenebrionidae) on low- and no-gluten flours

    Red flour beetles have been known to readily infest wheat flour but their likelihood to choose other types of flours is unknown. Red flour beetles will lay eggs in many types of flours but their choice to infest low- and no-gluten flours remains to be tested. Here we test a panel of 14 different commercially available flours in three different choice assays. We find that the beetles lay similar amounts of eggs in buckwheat, teff, millet, rice, and rye flours but that they show significant declines in preference for sorghum, potato, quinoa, cassava, oat, amaranth, garbanzo, spelt, and corn flours.

    Breedbase

      The Breedbase system has evolved from the Sol Genomics Network (SGN) and Cassavabase and related sites (see RTBbase.org).Breedbase is striving to be a complete breeding management system, including field management, data collection, crossing utilities, and advanced trial analysis.

      Data from: Low-dose foliar and tuber treatments of the auxin analog 2,4-D reduces potato common scab and powdery scab for multiple potato cultivars and can improve potato root development

        All of the annotated raw data from the submitted paper "Low-dose foliar and tuber treatments of the auxin analog 2,4-D reduces potato common scab and powdery scab for multiple potato cultivars and can improve potato root development." Datasets included are common scab disease scores from 2017 and 2018 field sites in ME and PA, soil profile data from 2018 PA and ME field sites, bag weight data from 2018 PA and ME field trials, common scab disease scores from seed tuber treatment trial in Tasmania, powdery scab disease score data from 2017 and 2018 Tasmania trials, tuber necrosis data from seed-tuber treatment trials, total tuber yield from the 2017 and 2018 Tasmania field trials, root growth from the 2017 Tasmania trial.

        2DSOIL version 03

          2D finite element water, solute, and heat mover model for plant models.

          RZWQM2

            Root Zone Water Quality Model 2 (RZWQM2) is a whole-system model for studying crop production and environmental quality under current and changing climate conditions. It emphasizes the effects of agricultural management practices on physical, chemical and biological processes. RZWQM2 is a one-dimensional model with a pseudo 2-dimensional drainage flow. Crop simulation options include the generic plant growth model, DSSAT-CSM 4.0 and HERMES SUCROS models. It also can simulate surface energy balance with components from the SHAW model and water erosion from the GLEAMS model. An automated parameter estimation algorithm (PEST) was added to RZWQM2 for objective model calibration and uncertainty analysis.

            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: Genetic Diversity and Population Structure of the USDA Sweetpotato (Ipomoea batatas) Germplasm Collections Using GBSpoly

                Population structure and genetic diversity of 417 USDA sweetpotato (*Ipomoea batatas*) accessions originating from 8 broad geographical regions (Africa, Australia, Caribbean, Central America, Far East, North America, Pacific Islands, and South America) were determined using single nucleotide polymorphisms (SNPs) identified with a genotyping-by-sequencing (GBS) protocol, GBSpoly, optimized for highly heterozygous and polyploid species.