A genomic selection method of Huaxi cattle, comprising the following steps: S1. constructing a reference population and determining economic traits; S2. collecting and preserving blood for each individual in the reference population, extracting DNA and genotyping, quality control of the data after genotyping; S3. proceeding genotype imputation to the processed genotype data, obtaining a sequencing data, and then screening QTL loci;wherein the QTL loci comprise significant SNPs related to weaning weight, average daily gain during fattening, carcass weight, dressing percentage and calving difficulty; S4. integrating the identified QTLs with the high density beadchip genotyping data to obtain the standard data, calculating the effects of all SNP markers of each trait; S5. collecting blood and extracting DNA from a candidate population, genotyping using the biochip, proceeding imputation to the standard data after quality control, multiplying the genotype vector of the candidate population by the vector of SNP effects, wherein the effects of all SNP markers and QTLs were estimated by the reference population, thus obtaining the genomic estimated breeding value of the candidate population and calculating the genomic China beef index of the individual according to the genomic estimated breeding value; wherein the equation of individual comprehensive selection index(GCBI) used for the selection is as follows: GCBI = 100 + − 5 × Gebv CE 1.30 + 35 × Gebv WWT 17.7 + 20 × Gebv DG _ F 0.11 + 25 × Gebv CW 16.4 + 15 × Gebv DP 0.13 , wherein the Gebv CE is the genomic estimated breeding value of calving difficulty, Gebv WWT is the genomic estimated breeding value of weaning weight, Gebv DG _ F is the genomic estimated breeding value of average daily gain during fattening, Gebv CW is the genomic estimated breeding value of carcass weight, Gebv DP is the genomic estimated breeding value of dressing percentage. S1. constructing a reference population and determining economic traits; S2. collecting and preserving blood for each individual in the reference population, extracting DNA and genotyping, quality control of the data after genotyping; S3. proceeding genotype imputation to the processed genotype data, obtaining a sequencing data, and then screening QTL loci;wherein the QTL loci comprise significant SNPs related to weaning weight, average daily gain during fattening, carcass weight, dressing percentage and calving difficulty; S4. integrating the identified QTLs with the high density beadchip genotyping data to obtain the standard data, calculating the effects of all SNP markers of each trait; S5. collecting blood and extracting DNA from a candidate population, genotyping using the biochip, proceeding imputation to the standard data after quality control, multiplying the genotype vector of the candidate population by the vector of SNP effects, wherein the effects of all SNP markers and QTLs were estimated by the reference population, thus obtaining the genomic estimated breeding value of the candidate population and calculating the genomic China beef index of the individual according to the genomic estimated breeding value; wherein the equation of individual comprehensive selection index(GCBI) used for the selection is as follows: GCBI = 100 + − 5 × Gebv CE 1.30 + 35 × Gebv WWT 17.7 + 20 × Gebv DG _ F 0.11 + 25 × Gebv CW 16.4 + 15 × Gebv DP 0.13 , wherein the Gebv CE is the genomic estimated breeding value of calving difficulty, Gebv WWT is the genomic estimated breeding value of weaning weight, Gebv DG _ F is the genomic estimated breeding value of average daily gain during fattening, Gebv CW is the genomic estimated breeding value of carcass weight, Gebv DP is the genomic estimated breeding value of dressing percentage. <EOS>