Quantitative real-time reverse transcription PCR (qRT-PCR) analysis has been used routinely to quantify gene expression levels. Primer design and the optimization of qRT-PCR parameters are critical for the accuracy and reproducibility of qRT-PCR analysis. Computational tool-assisted primer design often overlooks the presence of homologous sequences of the gene of interest and the sequence similarities between homologous genes in a plant genome. This sometimes results in skipping the optimization of qRT-PCR parameters due to the false confidence in the quality of the designed primers. Here we present a stepwise optimization protocol for single nucleotide polymorphisms (SNPs)-based sequence-specific primer design and sequential optimization of primer sequences, annealing temperatures, primer concentrations, and cDNA concentration range for each reference and target gene. The goal of this optimization protocol is to achieve a standard cDNA concentration curve with an R ≥ 0.9999 and efficiency (E) = 100 ± 5% for the best primer pair of each gene, which serves as the prerequisite for using the 2 method for data analysis.