Abstract: The growth characteristics of Pseudomonas in chilled pork with pallet package were analyzed at low temperatures (0, 5 ℃ and 10 ℃). The modified Gompertz, Huang, and Baranyi models were used for fitting the growth data of Pseudomonas. Statistical criteria residual (residual distribution) and goodness-of-fit (residual sum of squares (RSS), Akalke Information Crlterlon (AIC), residual standard error (RSE)) analyses were used to evaluate model performance and determine the appropriate model for the growth of Pseudomonas in chilled pork. Results showed that an apparent reduction of Pseudomonas during the lag phase at low temperatures (0, 5 ℃ and 10 ℃). The minimum RSS, AIC and RSE values fitted by Baranyi model at 0 ℃ were 5.2933, －54.0428 and 0.1708, respectively. The smallest RSS, AIC and RSE values achieved by modified Gompertz and Huang models were 17.7372, －18.9098, 0.5068 and 13.0410, －22.4848 and 0.4207, respectively. The best choice to describe the growth of Pseudomonas were Baranyi, modified Gompertz and Huang models at 0, 5 ℃ and 10 ℃, respectively. Therefore, the most appropriate model should be chosen to predict the growth of Pseudomonas at different temperature conditions for practical application in chilled pork industry.