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桃蚜在辣椒上的空间分布及抽样技术研究
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  • 英文篇名:Spatial Distribution Pattern of Myzus persicae in Chendu Pepper Regions and Sampling Techniques
  • 作者:王小强 ; 曹馨月 ; 刘虹玲 ; 伍兴隆 ; 蒲德强
  • 英文作者:Wang Xiaoqiang;Cao Xinyue;Liu Hongling;Wu Xinglong;Pu Deqiang;Industrial Crop Research Institute, Sichuan Academy of Agricultural Science;Tea Research Institute, Sichuan Academy of Agricultural Science;Institute of Plant Protection, Sichuan Academy of Agricultural Science;
  • 关键词:桃蚜 ; 成都地区 ; 辣椒 ; 空间分布 ; 抽样技术 ; 聚集原因
  • 英文关键词:Myzus persicae;;Chengdu;;pepper;;spatial distribution pattern;;sampling technique;;reasons for aggregation
  • 中文刊名:中国农学通报
  • 英文刊名:Chinese Agricultural Science Bulletin
  • 机构:四川省农业科学院经济作物育种栽培研究所;四川省农业科学院茶叶研究所;四川省农业科学院植物保护研究所;
  • 出版日期:2019-09-23
  • 出版单位:中国农学通报
  • 年:2019
  • 期:27
  • 基金: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)
  • 语种:中文;
  • 页:164-170
  • 页数:7
  • CN:11-1984/S
  • ISSN:1000-6850
  • 分类号:S436.418.2
摘要
为明确四川省成都主要辣椒种植区桃蚜空间分布格局,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由环境因素决定;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;利用空间格局参数确定了理论抽样数和序贯抽样模型。
        To better understand the occurrence regularity of Myzus persicae in Chengdu pepper regions 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 M. persicae population. The results indicated that the distribution patterns of M. persicae population, which accorded with minus binomial distribution, belonged to an aggregated distribution. The aggregation intensity increased with the increase of population density, and individuals attracted each other. The aggregated mean indice(λ)suggested that the aggregation was caused by biological characteristics of M. persicae and environmental factors, but environmental factors became key point after late August. The aggregation indexes [K, CA, m*/m, L*/(1+m)] can explain the spatial distribution patterns of M. persicae population better through correlation analysis between population density and aggregation index. The equation of theoretical sampling number and sequential sampling model are inferred from the spatial pattern parameters.
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