The application belongs to the field of animal and
plant breeding prediction, and discloses a fast and accurate genomic prediction method based on a genetic force model, which calculates the minor
allele frequency and
linkage disequilibrium score of a marker; obtains an optimal SNP genetic force model through a SNP genetic force model; selects an optimal number of
layers; obtains layer
genotype data formed by the
genotype data of all individuals in a corresponding layer of a to-be-predicted
data set; calculates the estimated genetic force of each layer of SNPs based on the optimal SNP genetic force model, and assigns the estimated genetic force to a corresponding
diagonal weight matrix of the layer; calculates the kinship matrix between individuals in the corresponding layer
genotype data of each layer; fits a multi-random
mixed model to obtain the genomic estimated breeding value of each
phenotype of all individuals in the to-be-tested
data set. The application is based on a
linear model framework, has low calculation complexity, and the key steps can be processed in parallel, so the calculation speed is fast; the application constructs a trait-specific SNP genetic force model, optimizes the
model representation of the
genetic structure of a complex trait, and thus improves the prediction performance.