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Vicia villosa seed physical dormancy dataset from 2017-2019

    Material for physical dormancy analyses derived from a *Vicia villosa* breeding program. A detailed description of nursery design, management, and selection methods are provided in https://doi.org/10.2135/cropsci2018.09.0569. Seeds were collected and analyzed for physical dormancy from a total of 1611 individual plants.

    National Animal Nutrition Program (NANP) Feed Composition Database

      This database was developed by the [Feed Composition Sub-Committee](https://animalnutrition.org/node/38) and serves as a freely-available, centralized resource for up-to-date nutrient composition data for feedstuffs commonly fed to animal species. There are currently 123 ingredients and 129 nutrients represented in the database.

      Food Intakes Converted to Retail Commodities Databases (FICRCD)

        Food Intakes Converted to Retail Commodities Databases (FICRCD) provide data for foods consumed in the United States national dietary intake surveys at the retail commodity level. The survey foods are converted into 65 retail-level commodities. The commodities are grouped into eight major categories: Dairy Products; Fats and Oils; Fruits; Grains; Meat, Poultry, Fish and Eggs; Nuts; Caloric Sweeteners; and Vegetables, Dry Beans and Legumes.

        USDA ARS National Rhizobium Germplasm Collection

          Our mission is to support application of low-input sustainable agriculture by: Providing, to the best of our ability, technical information about rhizobia, their preservation, and cultural and symbiotic characteristics; Acquiring and preserving the nitrogen-fixing bacterial symbionts of leguminous plants with the goal of maintaining widest possible genetic diversity; Maintaining quality control of new and existing germplasm by evaluation of microbiological purity and by examination of nodulation of the original trap host plant; Distributing cultures to the public and private sectors without charge for these services; Developing or adapting techniques in molecular biology for the determination of genetic diversity of rhizobia, to investigate interactions with their host plants and to identify novel characteristics; Acquiring, maintaining, evaluating quality, and distributing type strains for all the different taxa of nitrogen-fixing legume symbionts; Participating in the UNESCO program.

          Food Patterns Equivalents Database (FPED)

            USDA’s Food Patterns Equivalents Database (FPED) converts the foods and beverages in the Food and Nutrient Database for Dietary Studies to the 37 USDA Food Patterns components. The FPED serves as a unique research tool to evaluate food and beverage intakes of Americans with respect to the 2015-2020 Dietary Guidelines for Americans recommendations.

            Legume Information System

              The Legume Information System ([legumeinfo.org](https://legumeinfo.org "Legume Information System")) is the USDA-ARS genetics and genomics database for legume crops and relatives. Researchers can also submit their data directly. LIS houses data for more than a dozen species such as common bean and chickpea, peanut, and soybean, with genome sequences, genes and predicted functions, families of related genes, views of evolutionary relationships between genomic regions, genetic maps, markers, and links to germplasm resources.

              Legume (Fabaceae) Fruits and Seeds Version 2

                This is an identification key to genera for seeds and fruits of the legume family. The coverage is world wide, and for each genus there are descriptions of the seeds and fruits, distribution data, and images. The interactive software system INTKEY is used for accessing the data and images. The key can be used for identifying to genus unknown legume samples or for querying the data and images for legume genera, and is designed for seed analysts, technicians, port inspectors, weed scientists, ecologists, botanists, and researchers who need to identify isolated legume fruits and seeds.

                Feed the Future Grain Legumes Project Database

                  Data from this project focuses on the evaluation of breeding lines. These breeding lines, derived from 109 PIC populations specifically developed to combine abiotic and biotic stress tolerance, showed superior agronomic potential compared with checks and local landraces. The diversity, scale, and potential of the material in the PIC breeding pipeline is invaluable and requires continued support to ensure the release of varieties that promise to increase the productivity of common bean in the E. African region. Data available includes databases, spreadsheets, and images related to the project.