| 覃艳妮，郑惠中，郭文娟，杨开朗，温俊宝,2020,臭椿沟眶象成虫越冬场所选择的关键因子[J].环境昆虫学报,(4):925-937 |
| 臭椿沟眶象成虫越冬场所选择的关键因子 |
| Key factors for the selection of Eucryptorrhynchus brandti adults in overwintering site |
| |
| DOI： |
| 中文关键词: 臭椿沟眶象 越冬场所 成虫 关键因子 预测 控制策略 |
| 英文关键词:Eucryptorrhynchus brandti overwintering site adult key factor prediction control strategy |
| 基金项目:国家重点研发计划生物安全关键技术研发重点专项（2018YFC1200400）；国家自然科学基金（31770691）；北京市科技计划（Z171100001417005） |
|
| 摘要点击次数: 688 |
| 全文下载次数: 1106 |
| 中文摘要: |
| 昆虫成虫越冬前会选择合适的越冬场所，为了更好地控制臭椿沟眶象Eucryptorrhynchus brandti (Harold)成虫，需要了解其越冬场所的特点，找出影响其越冬场所选择的关键因素，以便开展越冬场所管理和翌年发生预测。在宁夏臭椿沟眶象发生区，采用平行线取样方法中的随机调查法调查臭椿沟眶象越冬场所(寄主、寄主树下植被、土壤温湿度)、越冬的树干方位、越冬位置距树干距离等情况。用皮尔逊相关性与多元统计分析方法确定影响其越冬的主要因素为胸径(X1)、流胶孔数(X2)、羽化孔数(X2)、土壤湿度(X3)、越冬土壤深度(X5)、越冬树干方位(X7)对臭椿沟眶象越冬成虫数量有显著影响 (P≤0.05) ，建立的多元回归模型为Y= -26.267+0.258X1-1.138X2+5.276X3+0.824X5+20.191X7-0.707X10，R2=0.586，正判率为63.4%。对越冬成虫数量的实测值与预估值进行t-检验，发现预估值与实测值之间无显著差异(P=0.103≥0.05)。建立的多元回归模型，能够预测翌年害虫发生情况，利用其选择越冬场所的特点，为开展臭椿沟眶象潜所诱杀提供理论依据。 |
| 英文摘要: |
| Insect adults will choose the appropriate wintering place before winter.In order to better control the adults of the skunk gully, it is necessary to understand the characteristics of the wintering place and identify the key factors affecting the choice of wintering place, so as to carry out the wintering place management and the forecast of the leap year. In the occurrence area of the Eucryptorrhynch brandti in Ningxia, the random survey method in the parallel line sampling method was used to investigate the overwintering site (host, host under tree vegetation, soil temperature and humidity), the trunk position of wintering, the distance from the trunk of the wintering position, etc. Pearson correlation and multivariate statistical analysis were used to determine the main factors affecting its overwintering, DBH(X1), number of glue gummosis holes (X2), number of emergence holes(X3), soil moisture(X5), winter soil depth(X7), orientation of overwintering trunk(X10）. The multiple regression model is Y=-26.267+0.258X1-1.138X2+5.276X3+0.824X5+20.191X7-0.707X10, R2=0.586, the positive rate was 63.4%. The t-test was carried out on the measured and predicted values of the overwintering adults. It was found that there was no significant difference between the predicted value and the measured value (P=0.103≥0.05）. The established one way regression model can predict the occurrence of pests in the next year, and use it to select the characteristics of the wintering place, and provide a theoretical basis for the development of the stagnation and stagnation. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
