Fixed precision sequential sampling plans for leaf mines of Liriomyza sativae Blanchard (Diptera: Agromyzidae) in cucumber greenhouses | ||
| Egyptian Academic Journal of Biological Sciences. A, Entomology | ||
| Article 7, Volume 4, Issue 2, December 2011, Pages 55-63 PDF (82.41 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/eajbsa.2011.15165 | ||
| Authors | ||
| Peyman Namvar1; Mohammed Hassan Safaralizadeh2; Valiollah Baniameri3; Ali Asghar Pourmirza2 | ||
| 1Department of Plant protection, Jiroft and Kahnooj Recearch center for Agriculture | ||
| 2Department of Entomology, Agriculture Faculty, Urmia University | ||
| 3Department of Entomology, Iranian Research Institute of Plant Protection | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Vegetable leaf miner; leaf mine; sequential sampling; spatial distribution; resampling simulation; greenhouse cucumber | ||
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