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Position: Home > Articles > THE FORECASTING MODELS FOR THE RATE OF SYMPTOM APPEARANCE OF SOYBEAN MOSAIC VIRUS Acta Phytopathologica Sinica 1989 (2) 87-93

大豆花叶病毒(SMV)病显症率的模型预测

作  者:
郭井泉;刘燕龙;张明厚
单  位:
东北农学院植病教研室
摘  要:
大豆感染SMV系统量症前介体不能传毒。接种稀释10倍SMV病液显症率与介体传毒相似。介体和人工接种SMV于5个感病品种V_1-R_5 9个生长时期共30余批次,结果表明SMV显症率主要决定于温度。显症起始温度为9℃,最适温度约26℃.V_1-R_2时期的植株显症所需有效积温基本一致;R_3—R_5时期比前者略有增加。累积显症率与累积有效积温的相关点图呈“S”型曲线分布,通过Weibull和Gompertz等8组曲线拟合选出拟合最优模型。V_1—R_2时期显症预测Gompertz拟合最好,得预测式:PP_(11)=Exp[-103021.196×Exp(-0.1329TT_1)]R_3—R_5时期Weibull拟合最好,得预测式:PP_(12)=1-Exp{-[0.02222(TT_1-65)~(2.581)]}
译  名:
THE FORECASTING MODELS FOR THE RATE OF SYMPTOM APPEARANCE OF SOYBEAN MOSAIC VIRUS
作  者:
Guo Jingquan;Liu Yanlong;Zhang Minghou Northeast Agricultural College,Harbin
摘  要:
Soybean plants infected by SMV could become the acquisition hosts for the aphidsvectors,Only after appearance of systemic symptom.The rate of the syste- mic symptom appearance of soybean plants mechanically inoculated with the cru- de sap of 1:10 dilution was similar to that transmitted by aphid vectors.The soy-bean plants of V_1—R_5 growing stages of five susceptible cultivars were inocul-ated with the crude sap and by aphid vectors and the experiments were repeated more than 30 times,the results suggested the rate of the systemic symptom app- earance of infected plants was greatly correlated with the temperature.The mi-nimum temperature for the symptom appearance was 9℃,the optimal temperature was about 26℃.The effective accumulative temperature for the rate of symptom appearance of plants since infection by SMV during V_1—R_2 growing stages were very sim-ilar,but those during R_3—R_5 were little higher than that during V_1—R_2.The figures of correlation points between the data of accumulative rate of systemic symptom appearance and those of accumulative effective temperature showed sig- mold curve.Among 8 formulas used to describe the data,the Gompertz was the best suitable for that during V_1—R_2,the forecasting model is:PPi_1=Exp(-103021. 196 Exp(-0.1329TTi).and the Weibull was the during R_3—R_5,the forecasting model is:PPi_2=1—Exp[-(0.02222(TTi—65)~(2.581)].

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