Development and validation of binomial sampling plans for estimating leafmine density of Liriomyza trifolii (Diptera: Agromyzidae) in greenhouse tomatoes

Doo Hyung Lee, Jung Joon Park, Joon Ho Lee, Yoo Han Song, Kijong Cho

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The dynamics of leafmines developed by Liriomyza trifolii (Burgess) larvae in greenhouse tomatoes were studied in Korea during 2003-2004 in order to construct and validate binomial sampling plans. An empirical PT-m model, expressed as: ln(m)=α+βln[-ln(1-PT)], was used to relate between the proportion of infested leaves (PT) and mean densities (m) at tally thresholds (T, the minimum number of leafmines present before a leaf is considered infested) of 1, 2, 3, 4 and 5 mines per leaf. To ensure the consistent selection of sample units, a sequence of reference pictures, with various levels of leafmine formation, was measured in advance by image analysis. The mines <0.4cm2 in area were excluded from counting in the greenhouses. There were no significant relationships between the total numbers of leafmines and individual mine areas. The binomial sampling plans were validated using resampling simulations with seven independent data sets. In an estimation of the density, the sampling precision (SE/mean) was found to increase with higher Ts; however, there were negligible improvements in the precision with T≥3 mines per leaf. Using T=3, over a wide range of mine densities, as few as 30 samples were necessary to achieve a precision of 0.30. In comparing binomial models with T=3 and 5, using seven independent data, the model with T=3 was a robust and relatively un-biased predictor of the mean density, whereas the T=5 model was generally biased towards over-prediction of the mean density. The binomial sampling plans presented here should permit rapid estimation of the mine density and enhance development for a damage assessment program in greenhouse tomatoes.

Original languageEnglish
Pages (from-to)579-587
Number of pages9
JournalApplied Entomology and Zoology
Volume40
Issue number4
DOIs
Publication statusPublished - 2005

Keywords

  • American serpentine leafminer
  • Binomial sampling
  • Digital image analysis
  • Mine area
  • Tally threshold

ASJC Scopus subject areas

  • Insect Science

Fingerprint Dive into the research topics of 'Development and validation of binomial sampling plans for estimating leafmine density of Liriomyza trifolii (Diptera: Agromyzidae) in greenhouse tomatoes'. Together they form a unique fingerprint.

Cite this