Genotyping Data of 251 Wheat Samples for Population Structure and GWAS Analysis

This dataset encompasses genotyping results for a collection of 251 wheat samples. The genotyping was conducted using the Illumina iSelect 90K SNP array at Trait Genetics, Gatersleben (Germany), using Illumina Inc., San Diego, USA. The SNP dataset underwent rigorous quality filtering. Markers with a minor allele frequency (MAF) below 5% and those with more than 10% missing data were excluded. Following this filtering process, a total of 17,093 high-quality SNP markers were retained for the subsequent GWAS analysis. These data enable research focused on understanding the genetic basis of traits in wheat, investigating population structure within this collection, and identifying genomic regions associated with important agronomic characteristics. Crucially, this high-density genotypic data has served as a valuable resource across multiple research projects, enabling diverse investigations into wheat genetics under various stress conditions (e.g., drought, heat, salinity) and across different field environments. It facilitates a deeper understanding of the genetic basis for traits relevant to crop improvement and adaptation. )This dataset supports the manuscript Genome-Wide Association Study Reveals Key SNP Markers for Component Yield-Related Traits in Bread Wheat (Triticum aestivum L.), ', currently under peer-review. It's uploaded at the editor's request. Upon publication, the article's DOI will be added to this record for trace ability(