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| 广州地区小菜蛾发生量预测模型研究 | |
| 引用本文： | 包华理,虞皓,王少毅,陈伟平,何文彪,林锦英,李少能,孔文辉.广州地区小菜蛾发生量预测模型研究[J].广东农业科学,2009(6):94-97. |
| 作者姓名： | 包华理 虞皓 王少毅 陈伟平 何文彪 林锦英 李少能 孔文辉 |
| 作者单位： | 1. 广东省农科院植物保护研究所,广东,广州,510640 2. 广州市农业标准与监测中心,广东,广州,510308 3. 广州市农业科学研究所,广东,广州,510308 4. 广州市番禺区蔬菜科学所,广东,广州,511400 5. 从化市农科所,广东,从化,510900 |
| 基金项目： | 广州市科技攻关项目，广州市蔬菜办公室资助项目，广东省农业科技攻关项目，国家攻关"食品安全关键技术-广东示范区"项目 |
| 摘 要： | 根据小菜蛾生物学、生态学特性,1996～2002年历时7年在广州市郊5个代表性的地点监测,以田间虫口基数、性诱蛾量和气象因素为预报因子,组建广州地区小菜蛾发生量预测预报回归模型,应用模型进行发生量预测.经2003、2004年试用检验.预报结果达到准确范围. |
| 关 键 词： | 小菜蛾 预测模型 蔬菜害虫测报 |
Study on the predictive model for the diamondback moth,Plutella xylostella population in the suburb vegetable areas of Guangzhou, China |
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| BAO Hua-li,YU Hao,WANG Shao-yi,CHEN Wei-ping,HE Wen-biao,LING Jin-ying,LI Shao-neng,KONG Wen-hui.Study on the predictive model for the diamondback moth,Plutella xylostella population in the suburb vegetable areas of Guangzhou, China[J].Guangdong Agricultural Sciences,2009(6):94-97. | |
| Authors: | BAO Hua-li YU Hao WANG Shao-yi CHEN Wei-ping HE Wen-biao LING Jin-ying LI Shao-neng KONG Wen-hui |
| Institution: | BAO Hua-li1,YU Hao1,WANG Shao-yi2,CHEN Wei-ping1,HE Wen-biao2,LING Jin-ying3,LI Shao-neng4,KONG Wen-hui5(1.Plant Protection Research Institute,Guangdong Academy of Agricultural Sciences,Guangzhou 510640,China,2.Guangzhou Agricultural Standard and Supervisory Center,Guangzhou 510308,3.Guangzhou Research Institute of Agricultural Sciences,4.Panyu Vegetable Research Institute,Guangzhou 511400,5.Conghua Research Institute of Agricultural Sciences,Conghua 510900,China) |
| Abstract: | Guangzhou city is the centure of the Pearl River Delta area,which is one of major vegetable growing areas in china.The major models there are high-bed and low-ditch continuous vegetable growing model.The diamondback moth(DBM),Plutella xylostella,is an important,damaging insect of cruciferous crops worldwide and has become the most serious insect pest on crucifers in South China where the frequency of outbreaks has increased rapidly since the 1970s.The valid pest management requires an effective model for qu... |
| Keywords: | Plutella xylostella predictive model cruciferous vegetable pest management |
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