Data and Code from: Association studies of salinity tolerance in sunflower provide robust breeding and selection strategies under climate change

Abstract Phytotoxic soil salinity is a global problem, and in the northern Great Plains and western Canada, salt accumulates on the surface of marine sediment soils with high water tables under annual crop cover, particularly near wetlands. Crop production can overcome saline-affected soils using crop species and cultivars with salinity tolerance along with changes in management practices. This research seeks to improve our understanding of sunflower (Helianthus annuus) genetic tolerance to high salinity soils. Genome-wide association was conducted using the Sunflower Association Mapping panel grown for two years in naturally occurring saline soils (2016 and 2017, near Indian Head, Saskatchewan, Canada), and six phenotypes were measured: days to bloom, height, leaf area, leaf mass, oil percentage, and yield. Plot level soil salinity was determined by grid sampling of soil followed by kriging. Three estimates of sunflower performance were calculated: 1) under low soil salinity (<4 dS/m), 2) under high soil salinity (> 4 dS/m), and 3) plasticity (regression coefficient between phenotype and soil salinity). Fourteen loci were significant, with one instance of co-localization between a leaf area and a leaf mass locus. Some genomic regions identified as significant in this study were also significant in a recent greenhouse salinity experiment using the same panel. Also, some candidate genes underlying significant QTL have been identified in other plant species as having a role in salinity response. This research identifies alleles for cultivar improvement and for genetic studies to further elucidate salinity tolerance pathways. Contents  This link to GitHub contains the data and analysis scripts used in this research, including R analysis scripts, and data analyzed.

                                            [
  "005:18"
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                                            {
  "fn": "Smart, Brian, C.",
  "hasEmail": "mailto:brian.smart@ndsu.edu"
}
                                        

                                            [
  {
    "@type": "dcat:Distribution",
    "title": "https://github.com/BrianSmart/SunflowerAssociationMappingFieldSaltStress",
    "mediaType": "text/html",
    "downloadURL": "https://github.com/BrianSmart/SunflowerAssociationMappingFieldSaltStress"
  }
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                                            [
  "Kriging-based approach",
  "Western Canada",
  "soil salinity",
  "sunflowers"
]
                                        

                                            [
  "005:040"
]
                                        

                                            {
  "name": "Agricultural Research Service",
  "@type": "org:Organization"
}
                                        

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