Latent fruit tree viruses present economic threat to the industry and nurseries as diseases they cause not only reduce fruit quality and production yield, but can also be spread inadvertently through propagation due to the lack of viral symptoms on an infected mother plant. As a result, these viruses require appropriate detection tools for effective management. In this study we developed RT-qPCR assays for the detection of three latent viruses of pome, apple chlorotic leaf spot virus (ACLSV), apple stem pitting virus (ASPV), and apple mosaic virus (ApMV), using the alignment of representative sequences from the NCBI database. The optimized assays were shown to be specific by successfully amplifying the target from positive controls without showing any detectable amplification in negative and non-target controls, and revealed high sensitivity by reliably detecting as low as 101 copies per reaction. The results also demonstrated that both the choice of extraction method and the reagents used for RT-qPCRcould play a critical role in virus detection outcome. These assays were both reliable and robust compared to the extant RT-PCR methods, and they could be a viable tool for making informed management decisions.