›› 2017, Vol. 60 ›› Issue (10): 1198-1207.doi: 10.16380/j.kcxb.2017.10.010

• 研究论文 • 上一篇    下一篇

敌敌畏烟剂熏蒸防治韭菜迟眼蕈蚊的条件优化

徐蕾, 赵彤华, 刘培斌, 许国庆*, 王哲, 钟涛   

  1. (辽宁省农业科学院植物保护研究所, 沈阳 110161)
  • 出版日期:2017-10-20 发布日期:2017-10-20

Optimization of fumigation conditions of dichlorvos smoke agent in controlling Bradysia odoriphaga (Diptera: Sciaridae)

XU Lei, ZHAO Tong-Hua, LIU Pei-Bin, XU Guo-Qing*, WANG Zhe, ZHONG Tao   

  1.  (Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China)
  • Online:2017-10-20 Published:2017-10-20

摘要: 【目的】本研究旨在探索提高敌敌畏烟剂熏蒸防治韭菜迟眼蕈蚊Bradysia odoriphaga成虫效果及效率的条件。【方法】采用正交试验法研究了温度、相对湿度、处理时间和烟剂剂量4因素对韭菜迟眼蕈蚊成虫死亡率的影响,筛选出了最优处理方案;通过多元回归分析建立了拟合模型,并且进行了试验验证。【结果】正交试验结果通过主效应分析表明,4因素对敌敌畏烟剂熏蒸防效影响大小的排列顺序为烟剂剂量﹥温度﹥相对湿度﹥处理时间。通过方差分析和单因素多重比较,筛选得到了熏蒸优化处理方案:温度为32℃,相对湿度为70%,剂量为0.0878 g a.i./m3,熏蒸处理2 h。回归分析结果表明,温度与相对湿度、温度与烟剂剂量、相对湿度与烟剂剂量之间存在交互作用,交互效应指数分别为3, -4.4和-3.25,同时得到了试虫死亡率与影响因素的回归方程。采用优化熏蒸条件组合方案得到的试虫死亡率达到96.59%,且试验实测值与模型拟合值间的Pearson相关系数为0.9749,表明多元回归方程经试验验证为准确有效。【结论】敌敌畏烟剂防治韭菜迟眼蕈蚊成虫可以通过优化熏蒸条件实现增效,并且本研究得到的回归模型能够用于预测成虫的致死效果。

关键词: 韭菜迟眼蕈蚊, 敌敌畏烟剂, 正交试验, 方差分析, 多元回归分析

Abstract:
【Aim】 This study aims to explore the conditions for improving the fumigation effect and efficiency of dichlorvos smoke agent in controlling Bradysia odoriphaga adults. 【Methods】 Four factors including temperature, relative humidity, period and dosage were optimized by the orthogonal experiment, and the fitted model was established by multiple regression analysis and verified by a set of experiments. 【Results】 The main effect analysis of the orthogonal experiment results showed that the influence order on the efficacy of dichlorvos smoke agent was dosage>temperature>relative humidity>period. Determined by analysis of variance and multiple comparison, the optimal conditions for fumigation were the temperature of 32℃, relative humidity of 70%, dosage of 0.0878 g a.i./m3 and period of 2 h. Regression analysis showed that there were interactions between temperature and relative humidity, temperature and dosage, and relative humidity and dosage, with the interaction effect indices of 3, -4.4 and -3.25, respectively. At the same time, the regression equation of the mortality of test insects and the related factors was established. The mortality under the optimized fumigation conditions was 96.59%. Moreover, the Pearson’s correlation coefficient between the measured value and the predictive value was 0.9749, showing that the regression model was verified to be accurate and effective by the experiments. 【Conclusion】 The control efficacy of dichlorvos smoke agent in controlling B. odoriphaga adults can be promoted by optimizing fumigation conditions, and the regression model obtained in this study can be used to predict the mortality of B. odoriphaga adults.

Key words: Bradysia odoriphaga, dichlorvos smoke agent, orthogonal experiment, variance analysis, multiple regression analysis