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三种植物与紫红链霉菌组合灭螺效果

马安宁1;张云1;柯文山2;倪红2   

  1. 1湖北大学资源环境学院, 武汉 430062; 2湖北大学生命科学学院, 武汉 430062
  • 收稿日期:2008-04-23 修回日期:1900-01-01 出版日期:2009-01-10 发布日期:2009-01-10

Molluscicidal efficacy of three kinds of plants mixed with Streptomyces violaceoruber against snail Oncomelania hupensis.

MA An-ning1;ZHANG Yun1;KE Wen-shan2;NI Hong2   

  1. 1School of Resources and Environmental Science, Hubei University, Wuhan 430062, China; 2School of Life Sciences, Hubei University, Wuhan 430062, China
  • Received:2008-04-23 Revised:1900-01-01 Online:2009-01-10 Published:2009-01-10

摘要: 探讨了不同植物与紫红链霉菌组合的灭螺效果,为研制高效低毒植物灭螺剂提供依据。将天名精(Carpesium abrotanoides)、苍耳子(Xanthium sibiricum)、青蒿(Artemisia carvifolia)3种植物水浸液分别与紫红链霉菌液(Streptomyces violaceoruber)组合后对钉螺进行浸杀对比实验,并比较了相同植物与紫红链霉菌液的复合颗粒灭螺剂的灭螺效果。结果表明:天名精、苍耳子与紫红链霉菌复合颗粒灭螺剂7 d钉螺死亡率分别比其1%混合液提高17.6%(P=0.019)和5.3%(P=0.362);青蒿与链霉菌复合颗粒灭螺剂7 d钉螺死亡率比其1%混合液降低6.7%(P=0.022);天名精、苍耳子和链霉菌复合颗粒灭螺剂较其混合液具有一定的增效作用。

关键词: 李园, 节肢动物群落, 时间动态, 聚类分析

Abstract: To develop high-efficiency and low-toxicity plant molluscicides against snail (Oncomelania hupensis), the water extracts of Carpesium abrotanoides, Xanthium sibiricum, and Artemisia carvifolia were respectively mixed with Streptomyces violaceoruber solution, and the mollusicicidal efficacy of the liquid mixtures against O. hupensis was evaluated, with the comparison of corresponding granular mixtures. After 7-day exposure to the 1% liquid mixtures of C. abrotanoides and S. violaceoruber and of X. sibiricum and S. violaceoruber, the mortality of the snail was 17.6% (P=0.019) and 5.3% (P=0.362) lower than that exposed to the corresponding granular mixtures, respectively; while after 7-day exposure to the 1% liquid mixture of A. carvifolia and S. violaceoruber, the mortality was 6.7% (P=0.022) higher than that exposed to corresponding granular mixture. The granules of C. abrotanoides mixed with S. violaceoruber and of X. sibiricum mixed with S. violaceoruber had higher synergistic effects than the corresponding liquid mixtures.

Key words: Plum orchard, Arthropod community, Dynamic, Cluster analysis