Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Vectors of Dutch Elm Disease in Northern Europe

View through CrossRef
Potential Dutch elm disease vector beetle species were caught with pheromone bottle traps and handpicked in 2019: in total, seven species and 261 specimens were collected. The most common was Scolytus triarmatus, but by percent, the incidence of Ophiostoma novo-ulmi was highest in Scolytus scolytus, followed by Xyleborinus saxesenii and S. triarmatus. We analysed the beetles’ DNA using PacBio sequencing to determine vector beetles of Ophiostoma novo-ulmi. Ophiostoma novo-ulmi was found on six out of seven analysed beetle species: Scolytus scolytus, S. triarmatus, S. multistriatus, S. laevis, Xyleborinus saxesenii and Xyleborus dispar. The last two beetles were detected as vectors for Ophiostoma novo-ulmi for the first time. Previous knowledge on the spread of beetles is discussed.
Title: Vectors of Dutch Elm Disease in Northern Europe
Description:
Potential Dutch elm disease vector beetle species were caught with pheromone bottle traps and handpicked in 2019: in total, seven species and 261 specimens were collected.
The most common was Scolytus triarmatus, but by percent, the incidence of Ophiostoma novo-ulmi was highest in Scolytus scolytus, followed by Xyleborinus saxesenii and S.
triarmatus.
We analysed the beetles’ DNA using PacBio sequencing to determine vector beetles of Ophiostoma novo-ulmi.
Ophiostoma novo-ulmi was found on six out of seven analysed beetle species: Scolytus scolytus, S.
triarmatus, S.
multistriatus, S.
laevis, Xyleborinus saxesenii and Xyleborus dispar.
The last two beetles were detected as vectors for Ophiostoma novo-ulmi for the first time.
Previous knowledge on the spread of beetles is discussed.

Related Results

The Populations and Habitat Preferences of Three Elm Species in Conditions Prevailing on Plains of Poland
The Populations and Habitat Preferences of Three Elm Species in Conditions Prevailing on Plains of Poland
From among the 35–40 elm species existing around the world, three are native to Europe: the wych elm (Ulmus glabra Huds.), the European white elm, (Ulmus laevis Pall.), and the fie...
Dutch Atlantic
Dutch Atlantic
Abstract The Dutch Atlantic is often ignored because for much of its history it was quite small and seemingly insignificant compared to other European colonies in...
Comparison of Deep Learning and Incremental Learning Model for Net Load Forecasting
Comparison of Deep Learning and Incremental Learning Model for Net Load Forecasting
This paper presents hourly net load forecasting, which is the forecasting of the difference between the hourly demand and the hourly power produced from the Photovoltaic (PV) syste...
Flood Forecasting Based on an Improved Extreme Learning Machine Model Combined with the Backtracking Search Optimization Algorithm
Flood Forecasting Based on an Improved Extreme Learning Machine Model Combined with the Backtracking Search Optimization Algorithm
Flood forecasting plays an important role in flood control and water resources management. Recently, the data-driven models with a simpler model structure and lower data requiremen...
COV-ELM classifier: An extreme learning machine based identification of COVID-19 using chest X-ray images
COV-ELM classifier: An extreme learning machine based identification of COVID-19 using chest X-ray images
Coronaviruses constitute a family of viruses that gives rise to respiratory diseases. COVID-19 is an infectious disease caused by a newly discovered coronavirus also termed Severe ...
Settlement Prediction of Foundation Pit Excavation Based on the GWO‐ELM Model considering Different States of Influence
Settlement Prediction of Foundation Pit Excavation Based on the GWO‐ELM Model considering Different States of Influence
This paper proposes a novel grey wolf optimization‐extreme learning machine model, namely, the GWO‐ELM model, to train and predict the ground subsidence by combining the extreme le...
A COMPACT OPTIMAL LEARNING MACHINE
A COMPACT OPTIMAL LEARNING MACHINE
Artificial neural networks (ANNs) have been developed and applied to a variety of problems, such as pattern recognition, clustering, function approximation, foreca...
Temporal characteristics of ELMs on the COMPASS divertor
Temporal characteristics of ELMs on the COMPASS divertor
Abstract The presented work shows a systematic study of the temporal characteristics of ELM events on the COMPASS divertor obtained with high temporal resolution pro...

Back to Top