Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China.
Int J Mol Sci. 2022 Sep 16;23(18):10797. doi: 10.3390/ijms231810797.
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.
松材线虫病(PWD)是一种全球性的森林检疫性病害,主要危害松科植物。该病害传播速度快,一旦感染,松树死亡率极高。本文综述了松材线虫病的常见检测技术,包括形态学、分子学、化学和物理学方法。通过了解松材线虫、媒介和宿主松树之间的复杂关系,并利用现有的线虫检测方法,可以改进干预和控制措施的实施,从而有效降低松材线虫病的危害。虽然传统技术可以可靠地诊断出症状阶段,但挥发性化合物检测和遥感技术可以在无症状阶段进行快速诊断。此外,遥感技术还可以监测大面积的 PWD。因此,基于这些技术的多角度评估对于快速有效地检测 PWD 至关重要。