ReviewInternational journal of molecular sciences2022
The Detection of Pine Wilt Disease: A Literature Review.
Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
31 citing papers in PubMed, 82 citations in OpenAlex.
- A neprilysin effector from the pinewood nematode Bursaphelenchus xylophilus targets pine caffeic acid O-methyltransferase and inhibits lignin biosynthesis.Pest management science · 2026Article
- Comprehensive Analysis of the TLP Gene Family in Pine and Functional Implications in Response to Pine Wood Nematode Infection.Biology · 2026Article
- Amino Acid-Optimized Medium Improves Long-Term Growth, Conidiation, Stress Tolerance, and Biocontrol Performance ofJournal of fungi (Basel, Switzerland) · 2026Article
- Combined Transcriptomic and Metabolomic Analyses of Low-Temperature Adaptation inInternational journal of molecular sciences · 2026Article
- A deep learning framework for species-level identification of root-knot nematodes using perineal pattern images.Scientific reports · 2026Article
- A multi-scale small object detection framework for tomato leaf pest and disease detection in complex natural environments.Frontiers in plant science · 2026Article
- MSDF-Net: a cross-version lightweight detection framework based on deformable convolution and high-resolution feature enhancement for pine wilt disease.Frontiers in plant science · 2026Article
- Ultra-High-Resolution Optical Remote Sensing Satellite Identification of Pine-Wood-Nematode-Infected Trees.Plants (Basel, Switzerland) · 2025Article
- Identification and functional characterization of the histone acetyltransferase gene family in Bursaphelenchus xylophilus.BMC genomics · 2025Article
- Detection of Pine Wilt Disease in UAV Remote Sensing Images Based on SLMW-Net.Plants (Basel, Switzerland) · 2025Article
- Early feature study of Yunnan pine pinewood nematode disease based on hyperspectral remote sensing of ground objects.Scientific reports · 2025Article
- A lightweight segmentation model toward timely processing for identification of pine wood nematode affected trees with UAV.Plant methods · 2025Article
- Hidden Threats: The Unnoticed Epidemic System of Pine Wilt Disease Driven by Sexually MatureBiology · 2025Article
- Development of a 101.6K liquid-phased probe for GWAS and genomic selection in pine wilt disease-resistance breeding in Masson pine.The plant genome · 2025Article
- Transcriptomic, metabonomic and proteomic analyses reveal that terpenoids and flavonoids are required for Pinus koraiensis early defence against Bursaphelenchus xylophilus infection.BMC plant biology · 2025Article
- LW-PWDNet: a lightweight and cross-terrain adaptive framework for early pine wilt disease detection.Frontiers in plant science · 2025Article
- LE-PWDNet: a lightweight and enhanced detection framework based on DEIM for early-stage pine wilt disease.Frontiers in plant science · 2025Article
- Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions.PeerJ · 2025Review
- A feature recognition and detection algorithm for pine wilt disease trees based on FLMP-YOLOv8.PloS one · 2025Article
- Establishment of embryogenic Pinus thunbergii Parl. suspension cultures: growth parameters, dynamic analysis, and plant regenerative capacities.BMC plant biology · 2024Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Pine wilt disease (PWD) is a global quarantine disease of forests that mainly affects Pinaceae species. The disease spreads rapidly. Once infected, pine trees have an extremely high mortality rate. This paper provides a summary of the common techniques used to detect PWD, including morphological-, molecular-, chemical- and physical-based methods. By comprehending the complex relationship among pinewood nematodes, vectors and host pine trees and employing the available approaches for nematode detection, we can improve the implementation of intervention and control measures to effectively reduce the damage caused by PWD. Although conventional techniques allow a reliable diagnosis of the symptomatic phase, the volatile compound detection and remote sensing technology facilitate a rapid diagnosis during asymptomatic stages. Moreover, the remote sensing technology is capable of monitoring PWD over large areas. Therefore, multiple perspective evaluations based on these technologies are crucial for the rapid and effective detection of PWD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.