Trapping of Vespa velutina nigrithorax Buysson (Hymenoptera: Vespidae) Queen Near Apiaries Honeybee Comb Extract in South Region of Korea

최용수,; 이명렬,; 이만영,; 김혜경,; 윤미영,; 강아랑,

doi:10.17519/apiculture.2015.11.30.4.281

Cited by 6 publications

(2 citation statements)

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“…One commonly used method is bait traps that attract the hornet (Monceau et al, 2013;Couto et al, 2014;Wang et al, 2014). Several methods using bait traps have been introduced for the effective management of V. velutina in Korea (Sim et al, 2014;Choi et al, 2015;Kang et al, 2016), demonstrating that the main mechanism for attracting V. velutina is by a feeding response. However, these methods require quality control to reach consistent attraction efficiency.…”

Section: Resultsmentioning

confidence: 99%

Attraction of the Invasive Hornet, Vespa velutina nigrithorax, by using Bacillus sp. BV‐1 Cultures

Lim¹,

Lee²,

Lee³

et al. 2019

Korean Journal of Environmental Agriculture

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BACKGROUND: The invasive hornet Vespa velutina nigrithorax has becomes a public concern in rural and urban South Korea. The technologies are necessary to develop a way to counter V. velutina. In an effort to develop a way to counter V. velutina, we found that a bacillus strain, named Bacillus sp. BV-1, produces volatile compounds that attract V. velutina. METHODS AND RESULTS: Field trials of V. velutina attraction were performed using plates and traps containing BV-1 cultures grown on sugar medium. When the sugar medium and sugar-grown BV-1 cultures in the plates were placed close together, V. velutina visited preferably the plates with the BV-1 cultures. Significantly more V. velutina were caught in the traps containing BV-1 cultures than in those containing only sugar medium. Headspace solid-phase microextraction coupled with GC/MS analysis of BV-1 cultures detected 2-methyl-1-propanol, 3-methyl-1-butanol, 3-methylbutanoic acid, ethyl hexanoate, 2-pheylethanol, ethyl octanoate, and ethyl decanoate as the major volatiles. CONCLUSION: BV-1 cultures were suggested as potential agents for managing V. velutina as they produce volatile compounds that attract the hornet.

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Section: Resultsmentioning

confidence: 99%

Attraction of the Invasive Hornet, Vespa velutina nigrithorax, by using Bacillus sp. BV‐1 Cultures

Lim¹,

Lee²,

Lee³

et al. 2019

Korean Journal of Environmental Agriculture

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“…Moreover, as more than 85% of V. velutina's prey consists of honeybees, the increase in its population has led to a significant rise in damage to Korean beekeepers [10]. It is all the more devastating as honeybees are unable to defend themselves against V. velutina's hunting strategy of preying on individual bees, which implies that even a single V. velutina can cause considerable damage to apiaries [11,12]. The methods used in Korean apiaries to control wasp populations include pesticide repatriation and vespa traps; however, these methods do not specifically target V. velutina.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Portable Image Analysis System for Real-Time Detection of Vespa velutina

et al. 2023

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Honeybees pollinate over 75% of the total food resources produced annually, and they produce valuable hive products, such as bee pollen, propolis, and royal jelly. However, species such as the Asian hornet (Vespa velutina) feed on more than 85% of honeybees, causing a decline in their population and considerable damage to beekeepers in Korea. To prevent damage to honeybees, a portable real-time monitoring system was developed that detects V. velutina individuals and notifies users of their presence. This system was designed with a focus on portability and ease of installation, as V. velutina can be found in various areas of apiary sites. To detect V. velutina, an improved convolutional neural network YOLOv5s was trained on 1960 high-resolution (3840×2160) image data. At the confidence threshold of ≥0.600 and intersection over the union of ≥0.500, the performance of the system in terms of detection accuracy, precision, recall, F1 score, and mean average precision was high. A distance-based performance comparison showed that the system was able to detect V. velutina individuals while monitoring three beehives. During a field test of monitoring three beehives, the system could detect 83.3% of V. velutina during their hunting activities and send alarms to registered mobile application users.

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Rearing techniques for hornets with emphasis on Vespa velutina (Hymenoptera: Vespidae): A review

Itterbeeck

Feng

Zhao

et al. 2021

Journal of Asia-Pacific Entomology

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Trapping of Vespa velutina nigrithorax Buysson (Hymenoptera: Vespidae) Queen Near Apiaries Honeybee Comb Extract in South Region of Korea

Cited by 6 publications

References 0 publications

Attraction of the Invasive Hornet, Vespa velutina nigrithorax, by using Bacillus sp. BV‐1 Cultures

Attraction of the Invasive Hornet, Vespa velutina nigrithorax, by using Bacillus sp. BV‐1 Cultures

Deep Learning-Based Portable Image Analysis System for Real-Time Detection of Vespa velutina

Rearing techniques for hornets with emphasis on Vespa velutina (Hymenoptera: Vespidae): A review

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Trapping of Vespa velutina nigrithorax Buysson (Hymenoptera: Vespidae) Queen Near Apiaries Honeybee Comb Extract in South Region of Korea

Cited by 6 publications

References 0 publications

Attraction of the Invasive Hornet, Vespa velutina nigrithorax, by using Bacillus sp. BV&#8208;1 Cultures

Attraction of the Invasive Hornet, Vespa velutina nigrithorax, by using Bacillus sp. BV&#8208;1 Cultures

Deep Learning-Based Portable Image Analysis System for Real-Time Detection of Vespa velutina

Rearing techniques for hornets with emphasis on Vespa velutina (Hymenoptera: Vespidae): A review

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Attraction of the Invasive Hornet, Vespa velutina nigrithorax, by using Bacillus sp. BV‐1 Cultures

Attraction of the Invasive Hornet, Vespa velutina nigrithorax, by using Bacillus sp. BV‐1 Cultures