首页> 外文期刊>Entomological Review >Biological Features and Population Density Forecasts of the Beet Webworm Pyrausta sticticalis L. (Lepidoptera, Pyraustidae) in the Period of Low Population Density of the Pest in Krasnodar Territory
【24h】

Biological Features and Population Density Forecasts of the Beet Webworm Pyrausta sticticalis L. (Lepidoptera, Pyraustidae) in the Period of Low Population Density of the Pest in Krasnodar Territory

机译:克拉斯诺达尔地区害虫低种群密度时期的甜菜Webworm Pyrausta sticticalis L.(鳞翅目,Pyraustidae)的生物学特征和种群密度预测

获取原文
获取原文并翻译 | 示例
           

摘要

Population dynamics of the beet webworm Pyrausta sticticalis L. was studied in 2003-2005 in Krasnodar Territory (Slavyansk-on-Kuban District) during the period of low population density of the pest. In the period examined, the adult death rate was high, fecundity was low; the low rate of hatchability and high rate of mortality was typical of larvae reared in the laboratory. Analysis of life tables has demonstrated that the observed population density of adults could be explained only by a constant flow of migrants. Low viability of insects from the local population could be explained by the infection with pathogenic microorganisms, including viruses of the Polyhe-drosis and Granulosi groups of Baculovirus, and microsporidia, including Nosema sticticalis and Microsporidium sp. Reproduction of the pest can also be influenced by unfavorable weather conditions reducing population density in the subsequent generation. It is demonstrated that the model of the beet webworm population density dynamics based on indices of female fertility, changes in the offspring viability, and the rate of infection with microsporidia is more reliable than models based only on meteorological factors.
机译:甜菜网虫Pyrausta sticticalis L.的种群动态于2003-2005年在克拉斯诺达尔地区(库班地区斯拉维扬斯克地区)处于低种群密度时期进行了研究。在检查期间,成人死亡率高,生殖力低;在实验室饲养的幼虫通常具有较低的孵化率和较高的死亡率。对生命表的分析表明,观察到的成年人口人口密度只能用不断流动的移民来解释。当地昆虫的低生存力可以用致病性微生物感染来解释,其中包括杆状病毒的多角体病毒和颗粒菌群病毒,以及小孢子虫病,包括鼻吸虫和微孢子虫。有害生物的繁殖还可能受到不利的天气条件的影响,从而降低了后代的种群密度。结果表明,基于雌性育性指标,后代生存能力变化和小孢子虫感染率的甜菜网虫种群密度动态模型比仅基于气象因素的模型更为可靠。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号