scholarly journals Collecting Nontarget Wood-Boring Insects for Host-Specificity Testing of Natural Enemies of Cerambycids: A Case Study of Dastarcus helophoroides (Coleoptera: Bothrideridae), a Parasitoid of the Asian Longhorned Beetle (Coleoptera: Cerambycidae)

2018 ◽  
Author(s):  
Juli R Gould ◽  
Breanne Aflague ◽  
Theresa C Murphy ◽  
Luke McCartin ◽  
Joseph S Elkinton ◽  
...  
Keyword(s):  
Host Specificity ◽  
Natural Enemies ◽  
Longhorned Beetle ◽  
Asian Longhorned Beetle ◽  
Dastarcus Helophoroides ◽  
Host Specificity Testing ◽  
Wood Boring

A Relational Theory of Risk: a Case Study of the Asian Longhorned Beetle Infestation in Worcester, MA

2019 ◽  
Vol 23 (6) ◽  
pp. 781-795 ◽  
Author(s):  
Joey Hersh ◽  
Deborah G. Martin ◽  
Nicholas a. B. Geron ◽  
John Rogan
Keyword(s):  
Relational Theory ◽  
Longhorned Beetle ◽  
Asian Longhorned Beetle

Optimizing Application Rates of Metarhizium brunneum (Hypocreales: Clavicipitaceae) Microsclerotia for Infecting the Invasive Asian Longhorned Beetle (Coleoptera: Cerambycidae)

2020 ◽  
Vol 113 (6) ◽  
pp. 2650-2656
Author(s):  
Eric H Clifton ◽  
Sana Gardescu ◽  
Robert W Behle ◽  
Ann E Hajek
Keyword(s):  
The United States ◽  
Urban Trees ◽  
Anoplophora Glabripennis ◽  
Longhorned Beetle ◽  
Asian Longhorned Beetle ◽  
Commercial Use ◽  
Metarhizium Brunneum ◽  
Application Rates ◽  
Potential Development ◽  
Wood Boring

Abstract The Asian longhorned beetle (Anoplophora glabripennis [Motschulsky]) is an invasive wood-boring beetle that threatens urban trees and forests in North America and Europe. The entomopathogenic fungus Metarhizium brunneum Petch strain F52 can infect and kill A. glabripennis adults. Products containing this fungus were available for commercial use in the United States but not registered for Asian longhorned beetle. This study tested different formulations and application rates of M. brunneum F52 microsclerotial granules for their potential development for management of A. glabripennis adults. Three application rates of M. brunneum microsclerotial granules relative to a 1× formulation from previous experiments (0.03 g/cm2; 2× = 0.06 g/cm2 and 3× = 0.09 g/cm2) were exposed on tree trunks for 4-wk periods during May–September. Increased application rates had better retention (% of initial g applied) than the 1× rate, rather than greater weathering loss. Microsclerotia at the 2× application produced 5.05 × 106 conidia/cm2, which was 18 times more conidia than the 1× application. Since A. glabripennis is under active eradication, bioassays with adult beetles were carried out in a quarantine laboratory, using the formulation samples from field exposures. The 2× application resulted in faster beetle mortality. The 3× and 2× rates were not significantly different in retention of the formulation, conidial production, or mortality, but 2× produced the most conidia per gram applied (3.92 × 109 conidia/g). An augmented formulation containing 70% M. brunneum by weight, rather than 50%, produced significantly more conidia and faster beetle mortality than the 50% formulation.

scholarly journals Application of liquid chromatography/mass spectrometry in assessment of potential use of azadirachtins (TreeAzin™) against Asian longhorned beetle

2014 ◽  
Vol 6 (19) ◽  
pp. 8063-8071 ◽  
Author(s):  
E. Beltrán ◽  
M. Ibáñez ◽  
E. Gracia-Lor ◽  
J. V. Sancho ◽  
F. Hernández ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Insect Pests ◽  
Longhorned Beetle ◽  
Liquid Chromatography Mass Spectrometry ◽  
Asian Longhorned Beetle ◽  
Neem Tree ◽  
Boring Insect ◽  
Wood Boring ◽  
Potential Use

Azadirachtins are natural triterpenoid compounds derived from Neem tree extracts with potential for use as systemic insecticides against invasive wood-boring insect pests.

Bracon planitibiae sp. nov. (Hymenoptera: Braconidae), a new parasitoid of Asian longhorned beetle (Anoplophora glabripennis)

Zootaxa ◽  
2019 ◽  
Vol 4671 (3) ◽  
pp. 427-433
Author(s):  
LIANG-MING CAO ◽  
XIAO-YI WANG ◽  
JULI-RUTH GOULD ◽  
FEI LI ◽  
YAN-LONG ZHANG ◽  
...  
Keyword(s):  
New Species ◽  
Forest Tree ◽  
Anoplophora Glabripennis ◽  
Longhorned Beetle ◽  
Asian Longhorned Beetle ◽  
Parasitoid Species ◽  
First Instar ◽  
Wood Boring ◽  
A New Species ◽  
Salix Spp

Bracon planitibiae sp. nov. (Hymenoptera, Braconidae), a new species parasitizing first instar larvae of Asian longhorned beetle, Anoplophora glabripennis (Motschulsky), (Coleoptera: Cerambycidae), is described. Its host is a serious wood boring pest in China, North America and Europe, where it causes severe damages to plantations of Acer spp., Populus spp., Salix spp., Ulmus spp., and many other ornamental and forest tree species. We obtained a variety of parasitoid species by using Asian longhorned beetle–infested sentinel logs to attract natural parasitoids, of which B. planitibiae sp. nov. is one. Detailed photographs of the new species are provided. 

scholarly journals Review of Host Trees for the Wood-Boring Pests Anoplophora glabripennis and Anoplophora chinensis: An Urban Forest Perspective

2014 ◽  
Vol 40 (3) ◽  
Author(s):  
Henrik Sjöman ◽  
Johan Östberg ◽  
Johan Nilsson
Keyword(s):  
Life Cycle ◽  
Tree Species ◽  
Urban Forest ◽  
Insect Pests ◽  
Urban Trees ◽  
Anoplophora Glabripennis ◽  
Longhorned Beetle ◽  
Asian Longhorned Beetle ◽  
Complete Life Cycle ◽  
Wood Boring

Two devastating insect pests have been introduced to North America and Europe – the Asian longhorned beetle (ALB) (Anoplophora glabripennis) and the citrus longhorned beetle (CLB) (Anoplophora chinensis). These two wood-boring beetles are argued to be one of the most serious threats to the tree landscape since they have a large number of host species and genera. With the aim of creating an up-to-date compilation of these hosts, a systematic review was made of the literature for information on tree species attacked and used by ALB and CLB as hosts for complete life cycle or for feeding. This review revealed that a large number of tree species and genera are liable to be attacked by ALB and CLB. However, based on the findings, the whole picture is still unclear. One reason for this is the lack of transparency in published studies regarding lists of susceptible tree species for ALB and CLB. Another factor that needs to be reported is whether a tree species supports the complete life cycle of the beetles or just feeding by adult beetles. Without this information, species possessing moderate host qualities are at risk of being incorrectly labelled as very good hosts and hence excluded as urban trees.

scholarly journals Combining WV-2 images and tree physiological factors to detect damage stages of Populus gansuensis by Asian longhorned beetle (Anoplophora glabripennis) at the tree level

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Quan Zhou ◽  
Xudong Zhang ◽  
Linfeng Yu ◽  
Lili Ren ◽  
Youqing Luo
Keyword(s):  
Remote Sensing ◽  
Gansu Province ◽  
Tree Level ◽  
Anoplophora Glabripennis ◽  
Longhorned Beetle ◽  
Asian Longhorned Beetle ◽  
Remote Sensing Images ◽  
Physiological Factors ◽  
Abnormal Phenotype ◽  
Damage Degree

Abstract Background Anoplophora glabripennis (Motschulsky), commonly known as Asian longhorned beetle (ALB), is a wood-boring insect that can cause lethal infestation to multiple borer leaf trees. In Gansu Province, northwest China, ALB has caused a large number of deaths of a local tree species Populus gansuensis. The damaged area belongs to Gobi desert where every single tree is artificially planted and is extremely difficult to cultivate. Therefore, the monitoring of the ALB infestation at the individual tree level in the landscape is necessary. Moreover, the determination of an abnormal phenotype that can be obtained directly from remote-sensing images to predict the damage degree can greatly reduce the cost of field investigation and management. Methods Multispectral WorldView-2 (WV-2) images and 5 tree physiological factors were collected as experimental materials. One-way ANOVA of the tree’s physiological factors helped in determining the phenotype to predict damage degrees. The original bands of WV-2 and derived vegetation indices were used as reference data to construct the dataset of a prediction model. Variance inflation factor and stepwise regression analyses were used to eliminate collinearity and redundancy. Finally, three machine learning algorithms, i.e., Random Forest (RF), Support Vector Machine (SVM), Classification And Regression Tree (CART), were applied and compared to find the best classifier for predicting the damage stage of individual P. gansuensis. Results The confusion matrix of RF achieved the highest overall classification accuracy (86.2%) and the highest Kappa index value (0.804), indicating the potential of using WV-2 imaging to accurately detect damage stages of individual trees. In addition, the canopy color was found to be positively correlated with P. gansuensis’ damage stages. Conclusions A novel method was developed by combining WV-2 and tree physiological index for semi-automatic classification of three damage stages of P. gansuensis infested with ALB. The canopy color was determined as an abnormal phenotype that could be directly assessed using remote-sensing images at the tree level to predict the damage degree. These tools are highly applicable for driving quick and effective measures to reduce damage to pure poplar forests in Gansu Province, China.

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