【Objective】The present experiment was conducted to investigate the developmental dynamics of pebrine virus incidence on silkworm proto-species in Guangxi in order to effectively control silkworm pebrine disease. 【Method】The time developmental dynamics of virus incidence on silkworm proto-species in Guangxi was worked out from 2006-2010 by adopting general linear regression model， auto-regression model and seasonal structure component model. 【Result】It was found that general linear regression was not a satisfactory method to analyze time series data of virus incidences on silkworm proto-species. Auto-regression model， to some extent， resolved the self-relevant problems about residual error， and its predictive value conformed with actual value. The results obtained from seasonal structure component model revealed that virus incidence rates on silkworm proto-species in Guangxi were on the rising trend during the past five years (2006-2010). In addition， the virus incidence rate of the 1s t，4th，5th and 6th batch of silkworm proto-species output was relatively higher with the highest in 6th batch， while that of the 2nd，3rd，7th，8th，9th，10th，11th and 12th batch was lower with the lowest in 8th，9th，10th batch. 【Conclusion】Time series analysis can objectively reflect the development dynamics of virus incidence rate on silkworm proto-species in Guangxi. Silkworm pebrine disease can be prevented and controlled by using statistical prediction models in future.