Literature DB >> 31009531

Effects of Pheromone Dose and Trap Height on Capture of a Bast Scale of Pine, Matsucoccus thunbergianae (Hemiptera: Margarodidae) and Development of a New Synthesis Method.

Sung-Chan Lee1, Jun Hyeong Kwon1, Deok Jea Cha2, Dong-Soo Kim2, Dong Ha Lee3, Seon-Mi Seo1,4, Hyo-Rim Lee5, Min-Jung Huh1, Myunghee Jung1,6, Il-Kwon Park1,4.   

Abstract

Matsuone is a well-known sex pheromone of the genus Matsucoccus (Hemiptera: Margarodidae), including species Matsucoccus matsumurae (Kuwana), Matsucoccus resinosae Bean & Goldwin, and Matsucoccus thunbergianae Miller & Park. In this study, we investigated the effects of matsuone dose and trap height on the capture of M. thunbergianae and developed an alternative synthesis of racemic matsuone. In field trapping experiments, M. thunbergianae males showed dose-dependent attraction to (6R,10R/S)-matsuone from 100 μg up to an approximate saturation level of 1,600 μg per rubber septum lure. Traps baited with (6R,10R/S)-matsuone and installed 50 cm above ground level attracted more males than traps 100 and 150 cm above ground level. To reduce synthesis procedures, time, and labor, we developed a new synthetic route to racemic matsuone and conducted field experiments with the product. Although traps baited with the racemic matsuone were less attractive than traps baited with (6R,10R/S)-matsuone synthesized by a previously reported method, the new synthetic route could be an economically favorable alternative to the previous method used in production of lures for field application.
© The Author(s) 2019. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  zzm321990 Matsucoccus thunbergianaezzm321990 ; Matsuone; black pine; sex pheromone; synthesis

Year:  2019        PMID: 31009531     DOI: 10.1093/jee/toz079

Source DB:  PubMed          Journal:  J Econ Entomol        ISSN: 0022-0493            Impact factor:   2.381


  1 in total

1.  Automatic Pest Counting from Pheromone Trap Images Using Deep Learning Object Detectors for Matsucoccus thunbergianae Monitoring.

Authors:  Suk-Ju Hong; Il Nam; Sang-Yeon Kim; Eungchan Kim; Chang-Hyup Lee; Sebeom Ahn; Il-Kwon Park; Ghiseok Kim
Journal:  Insects       Date:  2021-04-12       Impact factor: 2.769

  1 in total

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