| 桃蚜在辣椒上的空间分布及抽样技术研究 |
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| 引用本文： | 王小强,曹馨月,刘虹玲,伍兴隆,蒲德强. 桃蚜在辣椒上的空间分布及抽样技术研究[J]. 中国农学通报, 2019, 35(27): 158-164. DOI: 10.11924/j.issn.1000-6850.casb18040018 |
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| 作者姓名： | 王小强 曹馨月 刘虹玲 伍兴隆 蒲德强 |
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| 作者单位： | 1.四川省农业科学院经济作物育种栽培研究所;2.四川省农业科学院茶叶研究所;3.四川省农业科学院植物保护研究所 |
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| 基金项目： | 四川省苗子工程重点项目“七星瓢虫规模化繁育过程中的储藏技术研究”(18MZGC0224)；四川省应用基础重点项目“大灰食蚜蝇种群结 构与遗传多样性维持机制”(18YYJC0468)。 |
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| 摘 要： | 桃蚜作为世界范围内农作物主要害虫,在我国主要蔬菜种植区均有发生。因其繁殖能力强以及对蔬菜尤其是辣椒质量造成危害而成为重要防治对象。为了明确四川省成都主要辣椒种植区桃蚜空间分布格局,本试验运用2种回归方法和8个聚集度指标(K, C, CA, I, M*, m*/m, L*, L*/(1+m))对桃蚜盛发期种群的空间格局进行了研究；同时,通过Iwao回归法和Taylor幂法计算桃蚜种群理论抽样数,Iwao和kuno序贯抽样技术拟合桃蚜的序贯抽样模型。结果表明桃蚜种群呈聚集分布,聚集强度随种群密度的升高而增加,且个体间相互吸引,其聚集原因是由桃蚜习性与环境因素共同引起的,但8月下旬开始聚集原因主要有环境因素决定；通过种群密度与聚集度指标相关性分析表明,用平均拥挤度(m*/m)、负二项分布指标(K),久野指数(CA)及L*/(m+1)分析桃蚜空间分布型更具说服力；并利用空间格局参数确定了理论抽样数和序贯抽样模型。
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| 关 键 词： | 卫星反演 卫星反演 层状云 人工增雨条件 过冷云 卫星判据 |
| 收稿时间： | 2018-04-03 |
| 修稿时间： | 2018-05-20 |
Spatial Distribution Pattern of Myzus persicae in Chendu Pepper Regions and Sampling Techniques |
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| Abstract: | Peach aphid, Myzus persicae (Hemiptera: aphidiae), happened in all of the vegetable regions in china, especially in pepper, is a destructive pest of a wide range of crops. Peach aphids became control key point are due to be strong reproductive capacity and effect to quality and yield of pepper. So, in order to better understand the occurrence regularity of Myzus persicae in Chendu pepper regins of Sichuan province, two regression models [Iwao"s regression and Taylor"s power principle] and eight indices of aggregation [ K, C, CA, I, M*, m*/m, L*, L*/(1+m)] were used to test the spatial distribution patterns of Myzus persicae population. The results indicate that the distribution patterns of Myzus persicae population, which accords with minus binomial distribution, belong to an aggregated distribution. The aggregation intensity increases with the increase of population density, and attracts each other. The aggregated mean indice (λ) suggested that aggregation was caused by biological characteristics of Myzus persicae and environmental factors, but environmental factors became key point after late August. In addition, the aggregation indexs [K, CA, m*/m, L*/(1+m)] can explain the spatial distribution patterns of Myzus persicae population better through correlation analysis between population density and aggregation index. The equation of theoretical sampling number and sequential sampling model were inferred from the spatial pattern parameters. |
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| Keywords: | Myzus persicae chendu pepper spatial distribution pattern sampling technique reasons for aggregation |
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