Coffee is one of the most economically important agricultural commodities in the world. Labeling accuracy and conservation efficiency are essential for coffee germplasm management and for the exchange and utilization in breeding new varieties. However, due to its homogenous genetic background, accurate identification of Coffea arabica germplasm has not been fully achieved. Specifically, data comparison across different laboratories and genotyping platforms has not been available. Here, we report the screening of 672 candidate SNPs using Nano-Fluidic Array genotyping. Based on call rate, Minor Allele Frequency and Linkage Disequilibrium, a set of 96 SNPs were selected for genotyping C. arabica. This validated panel is suitable for use in coffee germplasm conservation and crop improvement, including varietal identification, seeds and nursery accreditation, and coffee bean authentication.

咖啡是世界上最重要的经济农产品之一。标签的准确性和保存效率对于咖啡种质管理以及新品种育种中的交换和利用至关重要。但是，由于其同源的遗传背景，尚未完全实现对阿拉伯咖啡种质的准确鉴定。具体而言，尚无法进行跨不同实验室和基因分型平台的数据比较。在这里，我们报告使用纳米流体阵列基因分型对672个候选SNP进行筛选。根据通话率，次要等位基因频率和连锁不平衡，选择了一组96个SNP用于对阿拉伯衣原体进行基因分型。。该经过验证的面板适用于咖啡种质保护和作物改良，包括品种鉴定，种子和苗圃鉴定以及咖啡豆鉴定。