Additional file 1 of GWAS revealed effect of genotype × environment interactions for grain yield of Nebraska winter wheat

Additional file 1: Table S1. Pedigree information for F 3:6 Nebraska Duplicate Nursery winter wheat. Table S2. List of SNPs generated from GBS data. Table S3. The genotypes performance for GY under nine environments. Table S4. Average high and low monthly temperatures, total monthly precipitation, and total snowfall in all environments except Grant and Kansas for growing season (2016 /2017). Table S5. Details of GWAS analysis for grain yield using mixed linear model (MLM) at the significance level of 5% bonferroni correction using 11,991 SNPs. Table S6. gene annotation and candidate genes for the high LD genomic regions. Table S7. The presence (1) and absence (0) of all alleles associated with high yielding detected by GWAS in 13 selected genotypes in all environments. Table S8. The distance matrix based on genotypic data between the best high yielding genotypes. Table S9. The different allele effects matrix among the 13 selected genotypes.

附加文件1：表S1. 内布拉斯加重复试验圃F₃:₆世代冬小麦的系谱信息。
表S2. 基于基因分型测序（Genotyping-by-Sequencing, GBS）数据生成的单核苷酸多态性（Single Nucleotide Polymorphism, SNP）位点列表。
表S3. 9种环境下籽粒产量（Grain Yield, GY）的基因型表现情况。
表S4. 除格兰特（Grant）与堪萨斯（Kansas）外，所有试验环境2016/2017生长季的月均最高、最低气温，月总降水量及月总降雪量。
表S5. 基于11991个SNP位点，采用混合线性模型（Mixed Linear Model, MLM）在5%邦弗朗尼（Bonferroni）校正显著性水平下开展籽粒产量全基因组关联分析（Genome-Wide Association Study, GWAS）的详细结果。
表S6. 高连锁不平衡（Linkage Disequilibrium, LD）基因组区域的基因注释及候选基因信息。
表S7. 13个选定基因型在全环境下，经GWAS检测到的高产关联等位基因的存在（1）与缺失（0）情况。
表S8. 基于基因型数据构建的最优高产基因型间的遗传距离矩阵。
表S9. 13个选定基因型间的等位基因效应差异矩阵。