Abstract: The aim of this study was to explore the genome-wide copy number variations (CNVs) affecting porcine bone rate traits, and to study the action mode and mechanism of the genes covered by these CNVs. CNVcaller software which based on the depth of sequencing were used to detect the copy number variations of the F2 population of the Large White×Min pig, and TASSEL mixed-linear model (MLM) were used to perform genome association analysis on the bone rate traits. The genes covered by CNVs were analyzed by seeking databases. The expression of the 4 significant CNVs in leg cartilage were detected by RNA resequencing in 75-day-old Large White pigs. A total of 3 027 CNVs were detected in F2 population, including 1 251 deletions, 987 multiple copies, and 789 deletions and multiple copies. There were 4 copy number variations associated with bone rate at genomic level, all on chromosome 7. Two of the four variants did not overlap with any gene. The most significant CNV (CNV4) could cover the myeloid associated differention marker(MYADM) gene. The study of gene expression in 75-days-old pigs showed that only CNV2 was highly expressed in hind leg cartilage. It was speculated that CNV2 could affect bone rate by affecting the expression of internal genes, and CNV4 might play a regulatory role in embryonic development. In summary, four CNVs affecting bone rate traits were successfully identified in pigs. It was speculated that CNV2 affected bone rate by affecting the expression of internal genes, and CNV4 might play the regulation role in embryonic development and finally affect bone rate. This study laid a theoretical foundation for researching the regulation mechanism of bone rate traits in the future and provided a reference for the breeding of bone rate traits in pig.