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>).

<b>基因型数据（VCFs（Variant Call Format文件））：</b>所有VCF文件均包含源自同一群体的经填充的双等位基因单核苷酸多态性（Single Nucleotide Polymorphisms, SNPs），仅所采用的过滤策略存在差异。<code>Approach1_...vcf.gz</code>：采用硬过滤阈值进行过滤（最低质量值minQ ≥ 100、最大缺失率max Missing ≤ 0.75、最小等位基因频率（Minor Allele Frequency, MAF）≥ 0.05，且推断为单拷贝）。<code>Approach2_...vcf.gz</code>：采用与方法1一致的硬过滤规则，并额外添加卡方（Chi-Square）过滤（p值（p-value）≤0.1）。<code>Approach3_...vcf.gz</code>：仅对经填充的双等位基因单核苷酸多态性（SNPs）采用卡方（Chi-Square）过滤（p值（p-value）≤0.1）进行筛选。<b>表型数据（XLSX）：</b><code>nectar_phenotype.xlsx</code>：包含该群体的表型测量数据，其中包含个体标识符<code>ID</code>以及花蜜体积数据<code>nectar_mm_T</code>与<code>nectar_mm</code>。