Data for: Variant filters using segregation information improve mapping of nectar-production genes in sunflower (Helianthus annuus L.)

<b>Genotypic Data (VCFs):</b>All VCF files contain imputed, biallelic SNPs derived from the same population but differ in the filtering strategies applied.<code>Approach1_...vcf.gz</code>: Filtered using hard thresholds (minQ ≥ 100, max Missing ≤ 0.75, MAF ≥ 0.05, inferred single copy).<code>Approach2_...vcf.gz</code>: Applies the same hard filters as Approach 1, with an additional Chi-Square filter (p-value ≤ 0.1).<code>Approach3_...vcf.gz</code>: Filtered using <i>only</i> a Chi-Square filter (p-value ≤ 0.1) on imputed, biallelic SNPs.<b>Phenotypic Data (XLSX):</b><code>nectar_phenotype.xlsx</code>: Contains phenotypic measurements for the population, including individual identifiers (<code>ID</code>) and nectar volume data (<code>nectar_mm_T</code>, <code>nectar_mm</code>).