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- W1535007130 abstract "[Objective]The present experiment was conducted to investigate the development dynamics in net rate of silkworm protospecies production in order to develop methods for protospecies management. [Method]The time series ARIMA model and seasonal structure component (SSC) model were used to analyze the development dynamics in net rate of silkworm protospecies. [Result]The time series analysis on net species rate of annual 12 batches of silkworm protospecies was carried out during 2001-2007 in Guangxi using SPSS software and the statistical prediction model ARIMA (1,0,0), and the net rate dynamics of protospecies was established, which passed the white noise series test. The results showed that the predicted value was close to the actual one. The SSC model analysis results showed a declining trend in net species rate of Guangxi silkworm protospecies in 7 years, which reflected a production trend of Guangxi silkworm protospecies. [Conclusion]The methods used in the present study were found very effective in analyzing the production data and regulation of Guangxi silkworm protospecies." @default.
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- W1535007130 date "2011-01-01" @default.
- W1535007130 modified "2023-09-23" @default.
- W1535007130 title "Development regulation on net species rate of silkworm protospecies in Guangxi using time series model analysis." @default.
- W1535007130 hasPublicationYear "2011" @default.
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