This readme file was generated on 2025-02-17 by Dante M. Pizarro GENERAL INFORMATION Title of Dataset: Author/Principal Investigator Information Name: Valentin D. Picasso ORCID: https://orcid.org/0000-0002-4989-6317 Institution: Department of Plant and Agroecosystem Sciences. University of Wisconsin-Madison Address: 1575 Linden Drive, Madison, WI 53706, USA Email: picassorisso@wisc.du Author/Associate or Co-investigator Information Name: Dante M. Pizarro ORCID: https://orcid.org/0000-0001-9595-5579 Institution: Department of Plant and Agroecosystem Sciences. University of Wisconsin-Madison Address: 1575 Linden Drive, Madison, WI 53706, USA Email: dpizarro@wisc.du Author/Associate or Co-investigator Information Name: Krishna B. Bhandari ORCID: https://orcid.org/0000-0002-7304-216X Institution: Department of Agricultural and Environmental Sciences. Tennessee State University Address: 3500 John A. Merritt Boulevard, Nashville, TN 37209, USA Email: kbhandar@tnstate.edu Author/Associate or Co-investigator Information Name: Edward C. Brummer ORCID: https://orcid.org/0000-0002-3621-4516 Institution: Department of Plant Sciences. University of California-Davis Address: UC Davis, One Shields Ave, Davis, CA 95616, USA Email: ecbrummer@ucdavis.edu Date of data collection: 2020-05-27 to 2021-09-07 Geographic location of data collection: 43°18'9.47"N, 89°20'43.32"W, or Arlington, Wisconsin, USA and 42°9'48.78"N, 121°45'22.7952"W, or Klamath Falls, Oregon, USA Information about funding sources that supported the collection of the data: Funding was provided by the USDA - NIFA, Resilience of Alfalfa Cultivars to Variable Environments (Grant No. 2018 70005 28737) SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: Links to publications that cite or use the data: Links to other publicly accessible locations of the data: Links/relationships to ancillary data sets: Was data derived from another source? If yes, list source(s): Recommended citation for this dataset: DATA & FILE OVERVIEW File List: ForageDataHub-AlfalfaDrought-19.1 Relationship between files, if important: Additional related data collected that was not included in the current data package: Are there multiple versions of the dataset? If yes, name of file(s) that was updated: Why was the file updated? When was the file updated? METHODOLOGICAL INFORMATION Description of methods used for collection/generation of data: Alfalfa drought stress field experiments were sown on May 23 2019 in Arlington, Wisconsin, USA (43°18′9.47″ N, 89°20′43.32″ W), and on June 11 2019 in Klamath Falls, Oregon. Treatment design was a factorial with two factors: a) drought stress with two levels: normal rainfall and rainout shelter, and b) alfalfa cultivar with 24 levels (modern cultivars selected based on their diverse morphological traits from three major seed companies: Corteva, FGI, and S&W, and two historical cultivars as controls). Experimental design was a split-plot, with a completely randomized block design with two replications for the main plot (drought stress) and cultivar as the split-plot. Each rainout shelter consisted of three low tunnels located side by side, with movable plastic cover in both sides of the shelter. Forecasted rainfall events greater to 2 mm were excluded (i.e., rainout shelters were closed before the expected rain) after first alfalfa harvest each year. However, if severe storms or high winds were forecasted, the rainout shelters were kept open to protect the experimental infrastructure. The decision to allow full rain before the first harvest was to ensure that the subsequent drought stress was not extreme, and we could harvest forage biomass throughout the entire growing season. Forage biomass was harvested three times per year over two production years. Subsample of harvested material of each split-plot was collected and weighed before and after dried at 65°C to determine dry matter. Resilience for each alfalfa cultivar by block was determined by dividing the yield under drought stress by yield under normal rainfall. Analysis of variance was used for forage yield using year, drought stress, cultivar, their interactions, and block as fixed effects. For resilience, the analyses of variance considered year, cultivar, their interaction, and block as fixed effects. Differences were considered significant at P ≤ 0.05. Methods for processing the data: Collected data were saved on Microsoft Excel spreadsheets. Instrument- or software-specific information needed to interpret the data: Standards and calibration information, if appropriate: Environmental/experimental conditions: Describe any quality-assurance procedures performed on the data: People involved with sample collection, processing, analysis and/or submission: Dante Pizarro, Valentin Picasso, Krishna Bhandari, and Charlie Brummer. DATA-SPECIFIC INFORMATION FOR: ForageDataHub-AlfalfaDrought-19.1 Number of variables: 12 Number of cases/rows: 3072 Variable List: Name Added by (name of person adding data) Location City, State Lat Degrees, Minutes and Seconds Long Degrees, Minutes and Seconds Year Year of data collection (2020 or 2021) Plot Plot number Harv Harvest (1, 2 or 3) Water Water restriction (drought) or no water restriction (rain) Rep Replicate number (1, 2, 3, or 4) Harv Harvest (1, 2 or 3) Water Water restriction (drought) or no water restriction (rain) Variety Alfalfa variety DM yield Dry matter yield, kg/ha WInj Winter injury (1 to 5) Missing data codes: Specialized formats or other abbreviations used: