Japanese Journal of Applied Entomology and Zoology
Online ISSN : 1347-6068
Print ISSN : 0021-4914
ISSN-L : 0021-4914
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Original Article
  • Masahiro Isono
    2020 Volume 64 Issue 2 Pages 55-64
    Published: May 25, 2020
    Released: June 20, 2020
    JOURNALS FREE ACCESS

    The Japanese elm leaf miner, Anafenusa shinoharai Smith(Hymenoptera: Tenthredinidae), caused a large blister-like browning on the young leaves of Ulmus davidiana var. japonica in Morioka City, Iwate, Japan. This damage is reported for the first time, and the life history and larval morphology of the species are described to facilitate rapid diagnosis. The species is univoltine, and the adults emerged and reproduced in mid-May when the host leaves reached 78% of their full length. After 3 weeks, mature larvae fell to the ground, formed a chamber in the soil, and overwintered there as prepupae. In this study, all 40 adults that emerged from the soil were female, carrying an average of 35.5 mature eggs. The larvae consumed both palisade and spongy parenchyma, forming a mine with an average size of 10.3 cm2. In 2019, the number of adults that emerged from the soil was 26.7/m2 and the number of mature larvae that dropped to the ground was 239.9/m2, suggesting that the infestation and damage would be repeated the next year. I describe the larval morphology of the 5th instar(final feeding stage)and the 6th instar(non-feeding mature stage), revealing drastic morphological changes. In addition, I redescribe the adult morphology.

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Short Communications
Technical Note
  • Daisuke Iwata, Yutaka Kobayashi, Masuhiro Ishimoto
    2020 Volume 64 Issue 2 Pages 79-83
    Published: May 25, 2020
    Released: June 20, 2020
    JOURNALS FREE ACCESS

    To automate pheromone trap surveys at a low cost, we developed a new counting system equipped with a photoelectric sensor and single-board computer for Spodoptera litura Fabricius(Lepidoptera: Noctuidae). We set a funnel trap with this system in a soybean field from August 14 to September 4 in 2018. As a result, the number of trap catches and the count obtained by the photoelectric sensor were positively correlated. However, the count obtained by the photoelectric sensor was significantly larger than the number of trap catches. To avoid counting the same individual multiple times, we corrected the numbers of the count obtained by the photoelectric sensor, if there was a count within a certain time from the previous count. Using this the correction, the automated counts of the trap catches were improved.

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