Breeding value is the sum of additive effects of all the genes, which has important effect on breeding. Statistical methods are often used traditionally to estimate breeding value. This paper uses support vector regression machine to estimate breeding value, and two feature-selection methods are developed to preprocess the data. the proposed algorithm is compared with statistical methods in other literatures, its performance is verified.