Background: Recently, the single-step genomic best linear unbiased prediction (ssGBLUP) method, which incorporates not only genomic information but also phenotypic information of pedigree, is under study. In this study, we performed a ssGBLUP analysis on a commercial Hanwoo population using phenotypic, genotypic, and pedigree data. Methods: The test population comprised Hanwoo 1,740 heads raised in four regions of Korea, while the reference population used Hanwoo 18,499 heads raised across the country and two-generation pedigree data. Analysis was performed using genotype data generated by the Hanwoo 50 K SNP beadchip. Results: The mean Genome estimated breeding values (GEBVs) estimated using the ssGBLUP methods for carcass weight (CWT), eye muscle area (EMA), back fat thickness (BFT), and marbling score (MS) were 7.348, 1.515, -0.355, and 0.040, respectively, while the accuracy of each trait was 0.749, 0.733, 0.769, and 0.768, respectively. When the correlation analysis between the GEBVs as a result of this study and the actual slaughter performance was confirmed, CWT, EMA, BFT, and MS were reported to be 0.519, 0.435, 0.444, and 0.543, respectively. Conclusions: Our results suggest that the ssGBLUP method enables a more accurate evaluation because it conducts a genetic evaluation of an individual using not only genotype information but also phenotypic information of the pedigree. Individual evaluation using the ssGBLUP method is considered effective for enhancing the genetic ability of farms and enabling accurate and rapid improvements. It is considered that if more pedigree information of reference population is collected for analysis, genetic ability can be evaluated more accurately.

INTRODUCTION
MATERIALS AND METHODS
    Test population
    Reference population
    Genomic information quality control (QC)
    Statistical analysis
    Accuracy analysis
RESULTS
    estimated using the ssGLBUP method was estimated. Accuracy
    Basic statistical analysis of the reference population
    Estimation of genetic parameter
    Accuracy analysis of breeding value
DISCUSSION
REFERENCES

• Gwang Hyeon Lee(Department of Applied Biotechnology, The Graduate School of Hankyong National University, Anseong 17579, Korea)
• Khaliunaa Tseveen(Department of Applied Biotechnology, The Graduate School of Hankyong National University, Anseong 17579, Korea)
• Yoon Seok Lee(Department of Applied Biotechnology, The Graduate School of Hankyong National University, Anseong 17579, Korea, Genomic Informatics Center, Hankyong National University, Anseong 17579, Korea, Gyeonggi Regional Research Center, Hankyong National University, Anseong 17579, Korea)
• Hong Sik Kong(Department of Applied Biotechnology, The Graduate School of Hankyong National University, Anseong 17579, Korea, Genomic Informatics Center, Hankyong National University, Anseong 17579, Korea, Gyeonggi Regional Research Center, Hankyong National University, Anseong 17579, Korea) Corresponding author