Phenotypic and Genotypic Dataset for Tobacco Bacterial Wilt Resistance

Germplasm information, phenotype data, SNP quality-control information, and genome-wide association study (GWAS) results were systematically organized to establish a phenotype–genotype dataset for tobacco bacterial wilt resistance. To evaluate the usability of the dataset, GWAS benchmark analysis was performed using the mixed linear model implemented in TASSEL 5.0, with five principal components and a Centered_IBS kinship matrix included to control population structure and relatedness.

The benchmark analysis detected stable association signals in the 0–3 Mb region of chromosome HIC_17 and the 116–130 Mb region of chromosome HIC_11, indicating that this dataset can support resistance locus mining and resistant germplasm screening for tobacco bacterial wilt. By integrating multi-batch resistance phenotype data, high-density SNP genotype data, and GWAS benchmark results, this dataset provides a basic data resource for genetic analysis of tobacco bacterial wilt resistance, molecular marker development, GWAS model comparison, and phenotype–genotype joint prediction.