Understanding the genetic determinants are essential for improving the fruit quality traits of strawberry. In this study, we focused on mapping the loci for fruit-length (FL), -diameter (FD), -weight (FW) and -soluble solid content (SSC) using the genome-wide single nucleotide polymorphisms (SNPs) identified via ddRAD-sequencing of the F₁ population raised from Maehyang (♀) X Festival (♂). A total of 12,698 high quality SNPs were identified of which 1554 SNPs that showed significant Mendelian segregation (p < 0.05) were mapped to 53 linkage groups (LG) spanning a total of 2937.93 cM with an average marker density of 2.14 cM/locus. Six QTLs for FL and four QTLs for each of FD, FW and SSC were identified that explained 24–35%, 21–42%, 24–54% and 23–50% of overall phenotypic variations, respectively. The genes that lie within these QTL regions were extracted and discussed thoroughly. In addition, a high resolution melting marker (MF154) were designed based on the SNP A1⁷²³G of the UDP-glucose 4-epimerase GEPI48-like gene FAN_iscf00021287. The marker detected the high vs low sugar containing F₁ plants and commercial cultivars with 81.39% and 86.95% detection accuracy, respectively. These SNPs, linkage map, QTLs and candidate genes will be helpful in understanding and improving the fruit quality traits of strawberry.

了解遗传决定因素对于改善草莓的果实品质特性至关重要。在这项研究中，我们重点研究了通过使用全基因组范围内的单核苷酸多态性（SNP）鉴定出的果实长度（FL），-直径（FD），-重量（FW）和-可溶性固形物（SSC）的基因座。从Maehyang （♀）X Festival（♂）提出的F ₁群体的ddRAD测序。共鉴定出12,698个高质量SNP，其中1554个SNP具有明显的孟德尔偏析（p <0.05）被映射到53个连锁组（LG），跨度总计2937.93 cM，平均标记密度为2.14 cM /基因座。确定了六个FL的QTL和FD，FW和SSC的四个QTL，分别解释了总表型变异的24–35％，21–42％，24–54％和23–50％。提取并彻底讨论了位于这些QTL区域内的基因。另外，基于UDP-葡萄糖4-表异构酶GEPI48样基因FAN_iscf00021287的SNP A1 ⁷²³ G设计了高分辨率解链标记（MF154）。标记物检测到高糖含量和低糖含量的F ₁植物和商业品种的检测准确度分别为81.39％和86.95％。这些SNP，连锁图谱，QTL和候选基因将有助于理解和改善草莓的果实品质性状。