Genotype data and Supplementary tables for "Developing and deploying an efficient genotyping workflow for accelerating maize improvement in developing countries"

<b>Genotype data:</b> The genotype data derived from the KlusterCaller software following KASP genotyping was used as follows: 1. The sample and SNP IDs and genotype calls were extracted from the genotype data and imported into the PowerMarker 3.25 statistical software, following the manufacturer's guidelines, to draw the dendrogram and calculate the genetic distance for the Genetic Identity experiment.<br>2. Genotype data was imported into the SNPviewer Software to visualize the cluster plots for the two QC experiments.<br><b>Supplementary tables:</b> Supplementary tables 1 and 2 show the list of KASP SNPs, including their sequences, used in the study. The list of KASP SNP for Maize is freely available to registered persons at the Integrated Breeding Platform https://integratedbreeding.net/1848/communities/maize/markersgermplasm?snps=1

<b>基因型数据：</b>本研究使用经竞争性等位基因特异性PCR（Kompetitive Allele Specific PCR，KASP）基因分型后由KlusterCaller软件生成的基因型数据，具体操作如下：
1. 按照软件操作指南，从基因型数据中提取样本ID、单核苷酸多态性（Single Nucleotide Polymorphism，SNP）ID与基因型分型结果，导入至PowerMarker 3.25统计软件中，用于绘制聚类树状图并计算遗传同一性实验所需的遗传距离。
2. 将基因型数据导入SNPviewer软件，以可视化两个质量控制（Quality Control，QC）实验的聚类图。
<b>补充表格：</b>补充表格1与表格2展示了本研究中使用的KASP SNP标记及其序列信息。本研究中玉米所用的KASP SNP标记列表，可在整合育种平台（https://integratedbreeding.net/1848/communities/maize/markersgermplasm?snps=1）向注册用户免费获取。