Defoliation by the vegetable leafminer, Liriomyza sativae Blanchard (Diptera: Agromyzidae), was simulated by removing known amounts of leaf area with a hole punch in a glasshouse experiment that evaluated 21 combinations of defoliation intensity, timing and duration on cucumber yields. Defoliation was quantified in cm²‐days (leaf area removed x no. days), and linear regression was used to correlate yield losses to simulated damage. The probability of erroneous decisions associated with different intensities of sequential sampling was explored. Spatial heterogeneity in leafminer infestation and the cumulative impact of defoliation over time were both considered, and the economic costs associated with wrong decisions were also assessed. Significant yield loss was observed beyond 10,000 cm²‐days of defoliation, whereas lower defoliation levels were tolerated by plants. The economic injury level (EIL) rose at an increasing rate as the onset of defoliation moved later in the season. An algorithm was used to estimate monthly EILs that farmers can use to guide leafminer management decisions in cucumber and minimize their economic risk.

中文翻译：

---

通过模拟脱叶估算的温室黄瓜蔬菜切叶机管理的动态经济阈值

在温室试验中，通过用打孔器去除已知数量的叶面积，模拟了蔬菜除叶机Liriomyza sativae Blanchard（双翅目：Agromyzidae）的落叶，该试验评估了21种脱叶强度，时间和持续时间对黄瓜产量的组合。脱落量以cm ^2为单位天（去除的叶面积x天数），然后使用线性回归将产量损失与模拟伤害相关联。探索了与顺序采样的不同强度相关的错误决策的可能性。都考虑了采叶虫侵扰的空间异质性以及随时间推移而产生的落叶的累积影响，并且还评估了与错误决策相关的经济成本。超过10,000 cm ²观察到明显的屈服损失脱叶的天数，而植物可以忍受较低的脱叶水平。随着本季节后期落叶开始发生，经济伤害水平（EIL）呈上升趋势。使用一种算法来估算农民可以用来指导黄瓜中的挖矿机管理决策并使其经济风险最小化的每月EIL。