This readme.txt file was generated on 20240807 by Fiona Todd Recommended citation for the data: Akakpo, R; Lee, EJ; Pacheco, JB; Rios, EF; Boukar, O; Volz, KM; Akinmade, H; Boote, KJ; Close, TJ; Muñoz-Amatriaín, M; Morrell, PL. (2024). Identification of genetic variation associated with high-temperature tolerance in cowpea. Retrieved from the Data Repository for the University of Minnesota, DOI ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset "Identification of genetic variation associated with high-temperature tolerance in cowpea" 2. Author Information Principal Investigator Contact Information Name: Peter Morrell Institution: University of Minnesota Address: Department of Agronomy and Plant Genetics, 411 Borlaug Hall, 1991 Upper Buford Circle, Saint Paul, MN 55108 Email: pmorrell@umn.edu ORCID: 0000-0001-6282-1582 Associate or Co-investigator Contact Information Name: María Muñoz-Amatriaín Institution: Universidad de León Address: Departamento de Biología Molecular, Universidad de León, 24071 León, Spain Email: mmuna@unileon.es ORCID: 0000-0002-4476-1691 Associate or Co-investigator Contact Information Name: Esteban Rios Institution: University of Florida Address: Agronomy Department, University of Florida, Gainesville, FL 32611 Email: estebanrios@ufl.edu ORCID: 0000-0003-3389-7195 3. Date published or finalized for release: 4. Date of data collection (single date, range, approximate date): N/A 5. Geographic location of data collection (where was data collected?): Datapoints across African continent, specific locations in IITA_cowpea_core_PP_data_test.kml 6. Information about funding sources that supported the collection of the data: Foundation For Food & Agriculture Research, Unravelling the genetics of cowpea adaptation to high temperatures for legume improvement 7. Overview of the data (abstract): -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Creative Commons BY 2. Links to publications that cite or use the data: N/A 3. Was data derived from another source? If yes, list source(s): International Institute of Tropical Agriculture (IITA) Genebank Core collection, WorldClim2.1 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/policies/#drum-terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: IITA_cowpea_core_PP_data_test.kml Short description: file showing localities of cowpea landrace and wild samples in Google Earth B. Filename: cowpea_490_stats_AA_rename.vcf.gz Short description: Blocked GNU Zip Format (BGZF; gzip compatible) VCF file containing cowpea iSelect \ genotypes for 44,111 SNPs in 490 landrace and wild accessions. Data shown is after quality \ control C. Filename: Partner_Favorites.vcf.gz Short description: Blocked GNU Zip Format (BGZF; gzip compatible) VCF file containing cowpea iSelect \ genotypes for 47,808 SNPs in 490 cultivated accessions. Data shown is after quality \ control 2. Relationship between files: N/A -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Data from IITA core collection was cleaned, ending up with 580 cowpea landrace and wild accessions 2. Methods for processing the data: STRUCTURE version 2.3.4, ΔK calculation method, Structure Harvester, R package SNPRelate, GWAS models from GAPIT version 3 R package, FarmCPU, BLINK, HeirFstat R package, Spatial ancestry analysis, est-sfs 3. Instrument- or software-specific information needed to interpret the data: R studio, R packes SNPRelate, tess3, GAPIT version 3, q-value version 2.30.0, and HierFstat 4. Standards and calibration information, if appropriate: N/A 5. Environmental/experimental conditions: N/A 6. Describe any quality-assurance procedures performed on the data: Data reviewed with ITALLIC to eliminate inconsistent data points that could not be rectified by IITA genebank curators 7. People involved with sample collection, processing, analysis and/or submission: N/A