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| 叉角厉蝽捕食芋田斜纹夜蛾影响因子研究 |
| Study on influencing factors of predation efficiency of Eocanthecona furcellata on Spodoptera litura in taro field |
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| 中文关键词: 叉角厉蝽 斜纹夜蛾 捕食效率 生物防治 芋头 二次通用旋转组合设计 |
| 英文关键词:Eocanthecona furcellata (Wolff) Spodoptera litura (Fabricius) predation efficiency biological control taro taro uniform-precision rotatable central composite design |
| 基金项目:广东省重点领域研发计划项目（2020B020223004）；广东省外来入侵物种风险评估和监测预警创新团队项目（2020KJ134） |
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| 中文摘要: |
| 为了探明外界因子对叉角厉蝽Eocanthecona furcellata捕食效率的影响，提高田间应用叉角厉蝽对斜纹夜蛾Spodoptera litura种群的防控效果，本试验采用二次通用旋转组合设计方法，研究了3个试验因子（斜纹夜蛾幼虫密度、叉角厉蝽若虫释放量、芋头植株数量）对叉角厉蝽捕食效率的影响，基于不同处理下叉角厉蝽对斜纹夜蛾的捕食率统计，建立捕食效率（Y）与斜纹夜蛾幼虫密度（X1）、叉角厉蝽释放量（X2）和芋头植株数量（X3）3个试验因子的关系的回归模型：Y = 71.8751593 - 4.74158206X1 + 12.83546961X2 + 1.249219611X3 + 0.1022956216X12 - 0.518515769X22 - 1.076015769X32 - 0.1667500000X1X2 - 0.0832500000X1X3 + 0.416250000X2X3。经单因子效应分析，3个试验因子对叉角厉蝽捕食率影响程度从大到小依次为：斜纹夜蛾幼虫密度（X1）、叉角厉蝽释放量（X2）、芋头植株数量（X3）。经对建立的二次多项式回归模型取最高指标时各个因素拟合分析以及对3个试验因子单效应、互作效应作图，得出使叉角厉蝽捕食率达到最大值的3个试验因子配比为7∶5∶1，即当斜纹夜蛾幼虫数量为7头、叉角厉蝽为5头以及芋头植株为1株时，叉角厉蝽若虫捕食率达到最大，为90.83%。 |
| 英文摘要: |
| To evaluate the effects of external factors on the predation efficiency of Eocanthecona furcellata (Wolff) and improve its field biocontrol on Spodoptera litura (Fabricius) populations, a quadratic general rotation combination design was employed to examine the influence of three experimental factors on the predation efficiency of E. furcellata, including the density of S. litura larvae (X1), the release quantity of E. furcellata nymphs (X2), and the number of taro plants (X3). Based on the predation rates of E. furcellata against S. litura under varing treatments, a regression model was established to describe the relationship between the predation efficiency (Y) and the three factors: Y = 71.8751593 - 4.74158206X1 + 12.83546961X2 + 1.249219611X3 + 0.1022956216X12 - 0.518515769X22 - 1.076015769X32 - 0.1667500000X1X2 - 0.0832500000X1X3 + 0.416250000X2X3. Single-factor effect analysis revealed the relative importance of the three experimental factors on predation rate in descending order as follows: the density of S. litura larvae (X1), the release quantity of E. furcellata nymphs (X2), and the number of taro plants (X3). Through the fitting analysis of each factor when the highest index was taken in the established quadratic polynomial regression model and drawing of single-factor and interaction effects of the three factors, the optimal ratio for maximizing predation efficiency was determined to be 7∶5∶1.That was, the density of 7 S. litura larvae (X1), the release quantity of 5 E. furcellata nymphs (X2), and the number of 1 taro plant (X3) could achieve a maximum predation rate of 90.83%. |
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