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Ag Data Commons migration begins October 18, 2023

The Ag Data Commons is migrating to a new platform – an institutional portal on Figshare. Starting October 18 the current system will be available for search and download only. Submissions will resume after the launch of our portal on Figshare in November. Stay tuned for details!

CottonGen Map Viewer

    MapViewer is a graphical tool for viewing and comparing *Gossypium* spp. genetic maps. It includes dynamically scrollable maps, correspondence matrices, dot plots, links to details about map features, and exporting functionality. It was developed by the MainLab at Washington State University and is available for download for use in other Tripal databases.

    CottonGen JBrowse

      CottonGen has an instance of the JBrowse genome browser for viewing genome data. A list of the Whole Genomes and Chloroplast Genomes is available together with a JBrowse tutorial for more details about how to navigate and use JBrowse.

      CottonGen BLAST

        CottonGen offers BLAST with genome, transcriptome, peptide and marker sequence databases from *Gossypium* species. This can be done using nucleotide sequences or peptide sequences. BLAST functionality is similar to that on NCBI.

        Java Newhall Simulation Model (jNSM)

          The Java Newhall Simulation Model or jNSM is a mesoscale model that is appropriate for use in regional geospatial analyses that support the MLRA update of published digital soil geographic databases (SSURGO/STATSGO2). This software can be used with monthly, serially complete records from weather stations, Soil Climate Analysis Network (SCAN) stations, and local soil climate monitoring sensors.

          CottonGen CottonCyc Pathways Database

            The CottonGen CottonCyc Pathways Database supports searching and browsing the CottonCyc databases: * Cyc pathways for JGI v2.0 *G. raimondii* D5 genome assembly * Cyc pathways for CGP-BGI v1.0 *G. hirsutum* AD1 genome assembly

            CottonGen Breeding Information Management System (BIMS)

              BIMS, the Breeding Information Management System, is a secure and comprehensive online breeding management system developed for the generic Tripal Database Platform which allows breeders to store, manage, archive and analyze their private breeding program. Breeders can load data in templates provided as well as output from the Field Book App, an android app for collecting phenotype data. In addition to the private breeders BIMS, users without accounts can also view the publicly available breeding data. The fully developed version will allow users to: * Fully integrate their data with publicly available genomic, genetic and breeding data in the community database. * Utilize their integrated pedigree, phenotype and genotype data in performing genomic analysis and making breeding decisions. * Use open-source new genomics tool and breeding decision tools with seamless access to HPC.

              CottonGen: Cotton Database Resources

                CottonGen (https://www.cottongen.org) is a curated and integrated web-based relational database providing access to publicly available genomic, genetic and breeding data to enable basic, translational and applied research in cotton. Built using the open-source Tripal database infrastructure, CottonGen supersedes CottonDB and the Cotton Marker Database, which includes sequences, genetic and physical maps, genotypic and phenotypic markers and polymorphisms, quantitative trait loci (QTLs), pathogens, germplasm collections and trait evaluations, pedigrees, and relevant bibliographic citations, with enhanced tools for easier data sharing, mining, visualization, and data retrieval of cotton research data.

                LandPKS (Land Potential Knowledge System): Mobile App for Extension, Land-Use and Project Planning, M&E and On-Farm Research

                  **LandPKS** comprises a free modular mobile phone app connected to cloud-based storage, global databases, and models, downloadable from Google Play or the iTunes App Store; a system for storing and accessing user data; and a system for sharing data, information and knowledge. LandPKS is being developed to help users determine the sustainable potential of their land, including its restoration potential, based on its unique soil, topography and climate. The land potential assessments will be updated based on new evidence regarding the success or failure of new management and restoration systems on different soils.

                  AgBase

                    [AgBase](https://agbase.arizona.edu/index.html) Version 2.0 is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products including gene ontology annotations. Its long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models. AgBase uses controlled vocabularies developed by the Gene Ontology (GO) Consortium to describe molecular function, biological process, and cellular component for genes and gene products in agricultural species.

                    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.