首页> 外文会议>Beltwide Cotton Conference >ALTERNATIVE INFIELD REFUGE STRATEGIES FOR CONTROLLING CERTAIN COTTON KEY PESTS IN MIDDLE EGYPT
【24h】

ALTERNATIVE INFIELD REFUGE STRATEGIES FOR CONTROLLING CERTAIN COTTON KEY PESTS IN MIDDLE EGYPT

机译:替代infiefe避难策略,用于控制中埃及某些棉钥匙害虫

获取原文

摘要

In cotton production, there are many factors that can reduce crop yield. One important cause is insects. Insects that cause loss to the fruit are frequently more destructive than those that damage leaves, stems and roots. Cotton in Egypt is subjected to yield and quality losses by arthropod insects. The Cotton leaf worm (CLW), Spodoptera littoralis and the Cotton bollworms, pink bollworm (PBW), Pectinophora gossypiella and spiny bollworm (SBW), Earias insulana cause the greatest part of yield losses resulted from nearly one million feddans cultivated annually. This study describes an improvement in insect control practices directed against feeding insects (i.e., CLW, PBW and SBW) by integration of monitoring, biological control, cultural, behavioral, genetic and bio-insecticides that can serve as a base for the formulation of biologically- based new approach of integrated management of cotton key pests. Field studies were conducted during 1999 and 2000 at Minia Governorate, middle Egypt. Experimental area was about 150 feddans of cotton (Giza, 80) during 1999 and 2000 cotton seasons. Five programs were evaluated: 1-Prediction models based on the Pheromone trap catches. 2-Bio insecticides such Agreen (contains Bacillus thuringiensis agypti) andSpinosad. 3-
机译:在棉花生产中,有许多因素可以减少作物产量。一个重要原因是昆虫。导致果实损失的昆虫经常比叶,茎和根部损伤的那些更具破坏性。埃及棉花受节肢动物昆虫的收益率和质量损失。棉叶蠕虫(CLW),Spodoptera littoralis和棉铃虫,粉红色的鸡蛋虫(PBW),Pectinophora Gossypiella和Spiny Bollworm(SBW),令人震票导致近100万个Feddans造成的产量损失最大的部分。本研究描述了通过集成监测,生物控制,文化,行为,遗传和生物杀虫剂来捕食昆虫控制实践(即ClW,PBW和SBW)的改善,这些遗传和生物杀虫剂可以作为制剂的基础用于制剂的基础基于棉钥匙虫综合管理的新方法。在Minia省,中埃及的1999年和2000年进行了实地研究。实验区在1999年和2000年的棉花季节是大约150份棉花(Giza,80)的费用。评估五个程序:基于信息素陷阱捕获的1个预测模型。 2-生物杀虫剂如此杀虫剂(含有Bacillus thuringiensis agypti)和spinosad。 3-

著录项

相似文献

  • 外文文献
  • 中文文献
  • 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