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

dataset
posted on 2024-10-16, 20:46 authored by James McNellie, William May, Loren Rieseberg, Brent S. Hulke

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.

Funding

Genome Canada – Genome British Columbia Project: LSARP2014-223SUN

USDA-ARS: 3060-21000-043-00D

USDA-ARS: 3060-21000-047-00D

History

Data contact name

Smart, Brian, C.

Data contact email

brian.smart@ndsu.edu

Publisher

Ag Data Commons

Intended use

This dataset and its associated files are intended for academic research and educational purposes, facilitating the replication of our study on soil salinity effects in sunflower production and supporting further analysis in crop science, agronomy, and yield optimization research.

Use limitations

Users are asked to honor the ethical and legal bounds of this dataset, free of sensitive info but requiring compliance with data laws. Provided 'as is', its completeness or accuracy for all uses isn't guaranteed. Proper citation in use is encouraged.

Temporal Extent Start Date

2016-05-19

Temporal Extent End Date

2017-10-01

Frequency

  • asNeeded

Theme

  • Non-geospatial

Geographic Coverage

{"type":"FeatureCollection","features":[{"geometry":{"type":"Point","coordinates":[-103.617800,50.465700]},"type":"Feature","properties":{}}]}

Geographic location - description

Indian Head, Saskatchewan, Canada 50.4657°, -103.6178°

ISO Topic Category

  • farming
  • location

National Agricultural Library Thesaurus terms

salt tolerance; Helianthus annuus; breeding; climate change; phytotoxicity; soil salinity; Great Plains region; marine sediments; water table; annuals; wetlands; crop production; saline soils; crops; cultivars; salinity; chromosome mapping; Saskatchewan; phenotype; leaf area; leaf mass; oils; kriging; phenotypic plasticity; regression analysis; loci; genomics; quantitative trait loci; alleles; agronomy

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 301

Pending citation

  • No

Public Access Level

  • Public