高级检索+

基于多指标检测的松材线虫病潜在抗性评价及预防性技术体系构建

Evaluation of Potential Resistance to Pine Wilt Disease Based on Multi-Index Detection and Construction of a Preventive Technology System

  • 摘要:
    目的 评估阿坝州松林对松材线虫病的潜在抗性水平,为该地区构建预防性技术体系提供科学依据,以应对未来可能的疫情入侵风险。
    方法 以理县和九寨沟县林区的松木和松针为研究对象,共采集144份样本,其中松木72份、松针72份。对理县36份样本(含松木和松针各18份)进行5%阿维菌素乳油树干注射处理作为处理组,另36份(含松木和松针各18份)不作处理作为对照组。对九寨沟县的松木、松针设置同样的处理组和对照组,总计处理组72份、对照组72份。病虫害数据来源为评估性数据,应用国家标准方法与气相色谱技术测定样品的含水量、松脂含量、叶绿素含量及4 种挥发性萜烯(α-蒎烯、β-蒎烯、D-柠檬烯、α-石竹烯)含量,结合主成分分析筛选抗性关键指标,并通过系统聚类划分抗性等级。
    结果 1)松脂含量、松针α-蒎烯、松针β-蒎烯和松针叶绿素含量是抗性核心指标,累计贡献率达78.62%。处理组的高抗阈值为:松脂含量≥18 mg·kg−1、松针α-蒎烯含量≥800 mg·kg−1β-蒎烯含量≥200 mg·kg−1、叶绿素含量≥1.5 mg·g−1,且各指标均值显著高于对照组(P<0.05)。2)144份样品被划分为高抗(8.33%)、中抗(41.67%)、敏感(45.18%)和高感(4.82%)4个等级。处理组高抗样品占比(27.78%)显著高于对照组(5.56%),而敏感、高感样品占比(16.67%)显著低于对照组(44.45%)。3)基于抗性等级与药剂处理效果,构建了“分级监测-化学诱导-天牛防控-林分优化”技术体系。该体系可使敏感林分的松脂含量提升32.6%~45.8%,媒介天牛Monochamus alternatus种群密度降低68.3%,基于核心抗性指标的风险评估结果下降72.5%。
    结论 明确了阿坝州松林抗松材线虫病的核心指标与阈值,证实5%阿维菌素乳油处理可显著提升松树抗性,所构建的预防性监测与预控技术体系,可为防范松材线虫病入侵、保护阿坝州松林资源提供科学支撑。

     

    Abstract:
    Objective The aim of this study is to evaluate the potential resistance level of pine forests in Aba Prefecture to pine wilt disease, providing a scientific basis for the establishment of a preventive technical system to cope with the risk of future pest invasion.
    Methods A total of 144 samples (72 pine wood and 72 pine needle samples) from forest areas in Li County and Jiuzhaigou County were collected, 36 samples from Li County (18 pine wood and 18 pine needle samples) were treated via trunk injection with 5% abamectin emulsifiable concentrate (treatment group), while another 36 samples received no treatment (control group). The same treatment and control groups were established for the samples from Jiuzhaigou County, resulting in a total of 72 samples in the treatment groups and 72 samples in the control groups. Diseases and pests data were derived from evaluative datasets. The water content, resin content, chlorophyll content and the contents of four volatile terpenes (α-pinene, β-pinene, D-limonene, and α-caryophyllene) of the samples were determined using National Standard Methods of China combined with gas chromatography. Principal component analysis was used to screen key resistance indicators, and systematic clustering was employed to classify resistance levels.
    Results  (1) The core resistance indicators, namely resin content, needle α-pinene content, needle β-pinene content, and needle chlorophyll content, exhibited a cumulative contribution rate of 78.62%. The high resistance thresholds for the treatment group were revealed as follows: resin content ≥18 mg·kg−1, needle α-pinene content ≥800 mg·kg−1, needle β-pinene content ≥200 mg·kg−1 and chlorophyll content ≥1.5 mg·g−1, with the mean values of each indicator being significantly higher than those of the control groups (P<0.05). (2) The 144 samples were classified into four resistance levels: high resistance (8.33%), moderate resistance (41.67%), susceptible (45.18%), and highly susceptible (4.82%). The proportion of high-resistance samples in the treatment group (27.78%) was significantly higher than that in the control group (5.56%), while the proportion of susceptible and highly susceptible samples (16.67%) in the treatment group was significantly lower than that in the control group (44.45%). (3) Based on the resistance classification and the efficacy of chemical treatments, a technical system integrating “graded monitoring, chemical induction, Monochamus alternatus control and stand optimization” was established. This system increased the resin content in susceptible stands by 32.6%~45.8%, reduced the population density of M. alternatus by 68.3%, and decreased the risk assessment results derived from core resistance indicators by 72.5%.
    Conclusion This study identified the core indicators and thresholds for the resistance of pine forests in Aba Prefecture to pine wilt disease, confirmed that treatment with 5% abamectin emulsifiable concentrate significantly enhanced pine resistance, and established a preventive monitoring and pre-control technical system. The results provide scientific support for preventing the invasion of pine wilt disease and protecting the pine forest resources in Aba Prefecture.

     

/

返回文章
返回