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WeedSite

    Software for learning about the benefits of site-specific weed management compared to a uniform herbicide application. No GIS software is needed. The benefits are predicted from weed maps drawn by the user.

    AgroAtlas

      The Russian-English Agricultural Atlas is the world’s most comprehensive source of information on the geographic distribution of plant-based agriculture in Russia and neighboring countries. The Atlas contains 1500 maps that illustrate the distribution of 100 crops, 560 wild crop relatives, 640 diseases, pests and weeds, and 200 environmental parameters. Additionally, the Atlas provides detailed biological descriptions, illustrations, metadata and reference lists. Currently, individual maps can be downloaded and viewed using freely available AgroAtlas GIS Utility software, which can also be downloaded at this site.

      Data from: Multiple immune pathways control susceptibility of Arabidopsis thaliana to the parasitic weed Phelipanche aegyptiaca

        Four files are included in this dataset. 1. An R script for generating odds ratio graphs that depict both the 95% and 99% confidence interval across all tested mutants in the referenced paper. 2. An example csv file for use with the R script. 3. A SAS script for running the Proc Glimmix procedure for generating odds ratios of attachments for all tested mutants in the referenced paper. 4. An example JMP file for use with the SAS script.

        Data from: Biological control of boxwood blight by Pseudomonas protegens recovered from recycling irrigation systems

          A total of 1547 bacterial strains recovered from recycling irrigation systems were evaluated *in vitro* and *in planta* for their biological control efficacy against boxwood (*Buxus* spp.) blight caused by *Calonectria pseudonaviculata* (*Cps*), an emerging fungal disease in the United States. *Pseudomonas protegens* strains produced antifungal secondary metabolites that reduced *Cps* growth and infection.

          RF-CLASS: Remote-sensing-based Flood Crop Loss Assessment Service System

            The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS) is an Earth Observation (EO) based flood crop loss assessment cyber-service system operated by the Center for Spatial Information Science and Systems (CSISS), George Mason University. RF-CLASS supports flood-related crop statistics and insurance decision-making.

            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.

              Data from: Proteomics analysis reveals novel host molecular mechanisms associated with thermotherapy of 'Ca. Liberibacter asiaticus'-infected citrus plants

                The goal of this study is to identify potential Las resistance/tolerance-related genes in citrus plants for application in breeding or genetic engineering programs, and apply comparative proteomics analysis via 2-DE and mass spectrometry to elucidate the molecular processes associated with heat-induced mitigation of HLB in citrus plants.