A degree day model was developed to predict the first seasonal flight of adult Scotinophara lurida using black light trap data collected near commercial rice paddy field from 1999 to 2001 in Korea. To find out the base temperature for adult S. lurida flight, degree-days were calculated using 15 estimates for base temperature from 0 to 15��. The coefficient of variation (CV) between years for degree-days to 50% catch was calculated for each base temperature. The base temperature which yielded the lowest CV between years was chosen as best. Base temperature of 9oC had the lowest CV between years. A two-parameter Weibull function was used to model cumulative percentage capture as a function of degree-days. Prediction by the model was evaluated.