Estimation of Leafmine Density of Liriomyza trifolii (Diptera: Agromyzidae) in Cherry Tomato Greenhouses using Fixed Precision Sequential Sampling Plans

Doo Hyung Lee, Jung Joon Park, Heungsun Park, Ki Jong Cho

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This study was conducted to develop sequential sampling plans to estimate leafmine density by Liriomyza trifolii (Burgess) at three fixed-precision levels in commercial tomato greenhouses. The within-greenhouse spatial patterns of leafmines were aggregated. The slopes and intercepts of Taylor's power law did not differ between greenhouses and 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 tomato leaf (consisted of 7 leaflets) at three precision levels (D) of 0.20, 0.25, and 0.30. The resulting sampling plans were tested with sequential bootstrap simulations (n = 500) using 9 independent data sets for validation. Bootstrap simulation within a wide range of densities demonstrated that actual D′ values at desired D = 0.30 averaged < 0.29 in all cases. even at the lowest density of leafmine (0.16 mines per leaf), the actual mean D′ value was 0.24 at D = 0.30. This result shows that the sampling plan developed in this study is effective and reliable for estimating the mine densities in tomato greenhouses.

Original languageEnglish
Pages (from-to)81-86
Number of pages6
JournalJournal of Asia-Pacific Entomology
Volume8
Issue number1
DOIs
Publication statusPublished - 2005 Feb 1

Fingerprint

Liriomyza trifolii
cherry tomatoes
Agromyzidae
greenhouses
tomatoes
sampling
leaves

Keywords

  • American serpentine leafminer
  • leafmine
  • resampling simulation
  • sequential sampling
  • spatial distribution
  • Taylor's power law
  • validation

ASJC Scopus subject areas

  • Insect Science

Cite this

Estimation of Leafmine Density of Liriomyza trifolii (Diptera : Agromyzidae) in Cherry Tomato Greenhouses using Fixed Precision Sequential Sampling Plans. / Lee, Doo Hyung; Park, Jung Joon; Park, Heungsun; Cho, Ki Jong.

In: Journal of Asia-Pacific Entomology, Vol. 8, No. 1, 01.02.2005, p. 81-86.

Research output: Contribution to journalArticle

@article{3a55358d3764459d8402bea9068b0fbd,
title = "Estimation of Leafmine Density of Liriomyza trifolii (Diptera: Agromyzidae) in Cherry Tomato Greenhouses using Fixed Precision Sequential Sampling Plans",
abstract = "This study was conducted to develop sequential sampling plans to estimate leafmine density by Liriomyza trifolii (Burgess) at three fixed-precision levels in commercial tomato greenhouses. The within-greenhouse spatial patterns of leafmines were aggregated. The slopes and intercepts of Taylor's power law did not differ between greenhouses and 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 tomato leaf (consisted of 7 leaflets) at three precision levels (D) of 0.20, 0.25, and 0.30. The resulting sampling plans were tested with sequential bootstrap simulations (n = 500) using 9 independent data sets for validation. Bootstrap simulation within a wide range of densities demonstrated that actual D′ values at desired D = 0.30 averaged < 0.29 in all cases. even at the lowest density of leafmine (0.16 mines per leaf), the actual mean D′ value was 0.24 at D = 0.30. This result shows that the sampling plan developed in this study is effective and reliable for estimating the mine densities in tomato greenhouses.",
keywords = "American serpentine leafminer, leafmine, resampling simulation, sequential sampling, spatial distribution, Taylor's power law, validation",
author = "Lee, {Doo Hyung} and Park, {Jung Joon} and Heungsun Park and Cho, {Ki Jong}",
year = "2005",
month = "2",
day = "1",
doi = "10.1016/S1226-8615(08)60074-6",
language = "English",
volume = "8",
pages = "81--86",
journal = "Journal of Asia-Pacific Entomology",
issn = "1226-8615",
publisher = "Elsevier",
number = "1",

}

TY - JOUR

T1 - Estimation of Leafmine Density of Liriomyza trifolii (Diptera

T2 - Agromyzidae) in Cherry Tomato Greenhouses using Fixed Precision Sequential Sampling Plans

AU - Lee, Doo Hyung

AU - Park, Jung Joon

AU - Park, Heungsun

AU - Cho, Ki Jong

PY - 2005/2/1

Y1 - 2005/2/1

N2 - This study was conducted to develop sequential sampling plans to estimate leafmine density by Liriomyza trifolii (Burgess) at three fixed-precision levels in commercial tomato greenhouses. The within-greenhouse spatial patterns of leafmines were aggregated. The slopes and intercepts of Taylor's power law did not differ between greenhouses and 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 tomato leaf (consisted of 7 leaflets) at three precision levels (D) of 0.20, 0.25, and 0.30. The resulting sampling plans were tested with sequential bootstrap simulations (n = 500) using 9 independent data sets for validation. Bootstrap simulation within a wide range of densities demonstrated that actual D′ values at desired D = 0.30 averaged < 0.29 in all cases. even at the lowest density of leafmine (0.16 mines per leaf), the actual mean D′ value was 0.24 at D = 0.30. This result shows that the sampling plan developed in this study is effective and reliable for estimating the mine densities in tomato greenhouses.

AB - This study was conducted to develop sequential sampling plans to estimate leafmine density by Liriomyza trifolii (Burgess) at three fixed-precision levels in commercial tomato greenhouses. The within-greenhouse spatial patterns of leafmines were aggregated. The slopes and intercepts of Taylor's power law did not differ between greenhouses and 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 tomato leaf (consisted of 7 leaflets) at three precision levels (D) of 0.20, 0.25, and 0.30. The resulting sampling plans were tested with sequential bootstrap simulations (n = 500) using 9 independent data sets for validation. Bootstrap simulation within a wide range of densities demonstrated that actual D′ values at desired D = 0.30 averaged < 0.29 in all cases. even at the lowest density of leafmine (0.16 mines per leaf), the actual mean D′ value was 0.24 at D = 0.30. This result shows that the sampling plan developed in this study is effective and reliable for estimating the mine densities in tomato greenhouses.

KW - American serpentine leafminer

KW - leafmine

KW - resampling simulation

KW - sequential sampling

KW - spatial distribution

KW - Taylor's power law

KW - validation

UR - http://www.scopus.com/inward/record.url?scp=68949133147&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=68949133147&partnerID=8YFLogxK

U2 - 10.1016/S1226-8615(08)60074-6

DO - 10.1016/S1226-8615(08)60074-6

M3 - Article

AN - SCOPUS:68949133147

VL - 8

SP - 81

EP - 86

JO - Journal of Asia-Pacific Entomology

JF - Journal of Asia-Pacific Entomology

SN - 1226-8615

IS - 1

ER -