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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)]}
Soybean infection SMV system before the disease can not prescribe poison. Inoculation diluted 10 times the SMV disease fluid manifestation rate and mediator poisoning similar. The results showed that the prevalence of SMV was mainly determined by the temperature in medium and artificially inoculated SMV over 5 batches of V_1-R_5 nine growth periods. The initial temperature of symptom onset was 9 ℃, and the optimum temperature was about 26 ℃. The effective accumulated temperature required for plant symptom in V_1-R_2 was basically the same; the R_3-R_5 increased slightly compared with the former. The plot of cumulative incidence and accumulated effective accumulated temperature showed “S” curve distribution, and the best fit model was selected by 8 sets of curve fitting, such as Weibull and Gompertz. Gompertz fitting was the best in V_1-R_2, and the prediction was: PP_ (11) = Exp [-103021.196 × Exp (-0.1329TT_1)] Weibull fitting was the best in R_3-R_5, 12) = 1-Exp {- [0.02222 (TT_1-65) to (2.581)]}