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This study was conducted to develop sequential sampling plans to estimate leaf mine density by Liriomyza sativae (Blanchard) at three fixed-precision levels in cucumber greenhouse. The within- greenhouse spatial patterns of leafmines were aggregated. The slopes and intercepts of Taylor’s power law did not differ between years. A fixed-precision level sampling plan was developed using the parameters of Taylor’s power law generated from total number of leafmines in a cucumber leaf at three precision levels (D) of 0.1, 0.25 and 0.29. The resulting sampling plans were tested with sequential bootstrap simulations (n=500) using 10 independent data sets for validation. Bootstrap simulation within a wide range of densities demonstrated that actual D' values at desired D= 0.29 averaged less than or equal to 0.29 in all cases. Even at the lowest density of leaf mine (0.27 mine per leaf), the actual mean D' was 0.28 at D= 0.29. This result shows that the sampling plan developed in this study is effective and reliable for estimating the mine densities in cucumber greenhouses.

Fixed precision sequential sampling plans for leaf mines of Liriomyza sativae Blanchard (Diptera: Agromyzidae) in cucumber greenhouses