Sublethal effects of the insecticidal fusion protein ω
-ACTX-Hv1a/GNA on the parasitoid Eulophus pennicornis
 via its host Lacanobia oleracea

Nakasu, Erich Yukio Tempel; Karamaouna, Filitsa; Partsinevelos, Georgios; Halim, Hesham M. Abd El; Fitches, Elaine; Pyati, Prashant; Gatehouse, John A.; Gatehouse, Angharad M. R.; Edwards, Martin G.

doi:10.1002/ps.4030

Cited by 2 publications

(2 citation statements)

References 29 publications

(51 reference statements)

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“…Some spider toxins have extreme taxonomic selectivity within Insecta; for example some spider knottins kill German cockroaches ( Blattellla germanica ) but not the closely related American cockroach Periplaneta americana . Moreover, several spider knottins have been isolated that kill a broad range of insect pests but are harmless to bees and beneficial parasitoids, including ω‐hexatoxin‐Hv1a and ω/κ‐hexatoxin‐Hv1a (Spear®), the knottin peptide that has been developed by Vestaron Corporation for control of insects and mites…”

Section: Can Spider Knottins Be Developed As Insecticides?mentioning

confidence: 99%

Tying pest insects in knots: the deployment of spider‐venom‐derived knottins as bioinsecticides

King

2019

Pest Management Science

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Spider venoms are complex chemical arsenals that contain a rich variety of insecticidal toxins. However, the major toxin class in many spider venoms is disulfide‐rich peptides known as knottins. The knotted three‐dimensional fold of these mini‐proteins provides them with exceptional chemical and thermal stability as well as resistance to proteases. In contrast with other bioinsecticides, which are often slow‐acting, spider knottins are fast‐acting neurotoxins. In addition to being potently insecticidal, some knottins have exceptional taxonomic selectivity, being lethal to key agricultural pests but innocuous to vertebrates and beneficial insects such as bees. The intrinsic oral activity of these peptides, combined with the ability of aerosolized knottins to penetrate insect spiracles, has enabled them to be developed commercially as eco‐friendly bioinsecticides. Moreover, it has been demonstrated that spider‐knottin transgenes can be used to engineer faster‐acting entomopathogens and insect‐resistant crops. © 2019 Society of Chemical Industry

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Section: Can Spider Knottins Be Developed As Insecticides?mentioning

confidence: 99%

Tying pest insects in knots: the deployment of spider‐venom‐derived knottins as bioinsecticides

King

2019

Pest Management Science

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“…Therefore, planting more corn in the limited land has become one of the topics of researchers. How to identify and remove weeds in the seedling corn field is an important field of research [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Application of Convolution Neural Network Algorithm Based on Intelligent Sensor Network in Target Recognition of Corn Weeder at Seedling Stage

Zhang

Jia

et al. 2022

Journal of Sensors

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Grass damage in the seedling corn field has always been an important factor affecting the growth and development of crops. The existence of grass not only compresses the living space of corn seedlings but also easily causes insect damage. Therefore, it is essential for weeding in the seedling corn field. The existing weeding methods usually use manual or chemical herbicide spraying, which is not only time-consuming and laborious but also inefficient. With the development of artificial intelligence and modern agricultural technology, the use of robots for field weeding has become an effective means, which has attracted more and more attention of researchers at home and abroad. Therefore, based on the full investigation of the development of relevant technologies at home and abroad, this paper carried out the research on the real-time target recognition and ranging method of field weeding robot and proposed a target recognition method of weeding corn at the seedling stage by using an intelligent sensor network and deep learning convolution neural network. Among them, the intelligent sensor is mainly used for target ranging and obstacle avoidance, and CNN is mainly used for target recognition. Taking the images of corn seedlings and weeds in the seedling stage under natural environmental conditions as samples, the migration training is carried out through the depth network model of the COCO data set, and the convolution features are shared by the CNN depth network model and Fast-CNN depth network model. VGG and ResNet feature extraction networks are compared. The experimental results show that the CNN depth network model based on this paper has obvious advantages in rape and weed target recognition. The target recognition accuracy of rape and weeds can reach 87.64%, and the recall rate can reach 80.23%. Compared with other models, it has obvious advantages, which proves the effectiveness of this model.

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Sublethal effects of the insecticidal fusion protein ω -ACTX-Hv1a/GNA on the parasitoid Eulophus pennicornis via its host Lacanobia oleracea

Abstract: Hv1a/GNA has negligible effects on the parasitoid, even under worst-case scenarios. This low toxicity to these insects is of interest in terms of biopesticide specificity and safety to non-target organisms.

Cited by 2 publications

References 29 publications

Tying pest insects in knots: the deployment of spider‐venom‐derived knottins as bioinsecticides

Tying pest insects in knots: the deployment of spider‐venom‐derived knottins as bioinsecticides

Application of Convolution Neural Network Algorithm Based on Intelligent Sensor Network in Target Recognition of Corn Weeder at Seedling Stage

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