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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!

Data from: Plant strategies for maximizing growth during drought and drought recovery in Solanum melongena L. (eggplant)

    This data represents the collection of physiological and biometric data of above- and below-ground plant traits in four species of Solanum melongena of Philippine origin (PHL 4841, PHL 2778, PHL 2789, and Mara). Half of the plants were subjected to significant water deficit, and half again of those deficit plants were allowed to recover after subsequent watering. This data is suitable to serve as a benchmark for trait values in S. melongena, as well as in studies of trait responses to terminal drought and episodic drought in agricultural settings.

    Data from: Invasive forb benefits from water savings by native plants and carbon fertilization under elevated CO2 and warming

      To test the hypothesis that elevated CO2 and warming would strongly influence invasive species success in a semi‐arid grassland as a result of both direct and water‐mediated indirect effects, the invasive forb Linaria dalmatica was transplanted into mixed‐grass prairie treated with free‐air CO2 enrichment and infrared warming, and survival, growth, and reproduction followed over 4 yr. Leaf gas exchange and carbon isotopic composition in L. dalmatica and the dominant native C3 grass Pascopyrum smithii were also measured.

      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: Sporobolus stapfianus: Insights into desiccation tolerance in the resurrection grasses from linking transcriptomics to metabolomics

          Non-targeted metabolomics, combined with transcriptomics via a NimbleGen array platform, are used to study how gene expression and metabolite profiles can be linked to generate a more detailed mechanistic appreciation of the cellular response to both desiccation and rehydration in the C4 resurrection grass, *Sporobolus stapfianus* Gandoger, as a member of a group of important forage grasses.