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Table · dataset · 2026

<b>Data repository manoscript: "</b><b>Landscape Genomics of Wild Olive Reveals Opportunities to Inform Cultivar Adaptation"</b>

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<p dir="ltr"><b>Data supporting: "Landscape Genomics of Wild Olive Reveals Opportunities to Inform Cultivar Adaptation"</b></p><p dir="ltr">This deposit contains the primary genomic dataset, candidate locus lists, fitted landscape genomic model, environmental predictor data, and environmental raster layers used in the genotype–environment association (GEA) and Redundancy Analysis (RDA)-based landscape genomic and Cultivar Genomic Offset analyses reported in the associated manuscript.</p><p dir="ltr"><b>Contents:</b></p><ul><li><code>WC708_lec24_DP10_100_miss090_ind085_mac1.vcf.recode.vcf.gz</code> — Filtered variant call file for 708 individuals (326 cultivated accessions, 13 eastern wild individuals, 369 western wild/seed-propagated individuals), used as the starting genomic dataset for all downstream analyses.</li><li><code>GEA_124_WW.txt</code> — Genotype data at the 124 candidate genotype–environment association (GEA) loci for the 142 truly wild western (WW) individuals, identified via LFMM and filtered for polymorphism (MAF ≥ 0.05) in the cultivated panel; used to construct the wild-reference RDA landscape genomic model.</li><li><code>GEA_124_cultivars.txt</code> — Genotype data at the same 124 candidate GEA loci for the cultivated accessions, used for projection into the RDA space and calculation of Cultivar Genomic Offset.</li><li><code>RDA_all_enriched.rds</code> — Fitted Redundancy Analysis (RDA) model object (R, vegan package), built from the 124 candidate GEA loci and environmental predictors in the 142 WW individuals.

This is the model used for all wild and cultivar projections and Genomic Offset calculations (Figures 3–6).</li><li><code>Env_155_WWE.csv</code> — Environmental predictor values (bioclimatic and soil variables) at each sampling site for the 142 wild west and 13 wild east, used as input to the GEA and RDA analyses.</li><li><code>bio2_ENM_def_clip.tif</code>, <code>bio10_ENM_def_clip.tif</code>, <code>bio11_ENM_def_clip.tif</code>, <code>bio15_ENM_def_clip.tif</code>, <code>bio18_ENM_def_clip.tif</code>, <code>bio19_ENM_def_clip.tif</code> — Bioclimatic raster layers from CHELSA v2.1 (1981–2010 climate normals).

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The rasters were clipped using a spatial raster mask derived from the Environmental Niche Model (ENM), defining the spatial extent used for the subsequent landscape genomic projections.</li><li><code>soilclay_ENM_def_clip.tif</code>, <code>soilN_ENM_def_clip.tif</code>, <code>soilpH_ENM_def_clip.tif</code>, <code>soilsand_ENM_def_clip.tif</code> — Soil property raster layers from SoilGrids250m (5–15 cm depth). The rasters were clipped using the same spatial raster mask derived from the Environmental Niche Model (ENM), defining the spatial extent used for the subsequent landscape genomic analyses.</li></ul><p dir="ltr"><b>Related resources:</b><br>The complete analysis code and scripts used for genotype filtering, GEA, RDA, ENM, and Cultivar Genomic Offset analyses are available in the GitHub repository: github.com/LorePlant/Cultivar_GO_2025.git </p><p dir="ltr">Please cite this dataset alongside the associated manuscript.</p><p dir="ltr"><b>License:</b> [CC BY 4.0]</p>

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Provenance · 1 source records, 17 field assertions
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figshareoai:figshare.com:article/339364425 d agoJSON v1
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