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水稻二化螟性诱蛾量与测报指标的相关性分析
引用本文:焦晓国,宣维健,王红托,盛承发. 水稻二化螟性诱蛾量与测报指标的相关性分析[J]. 吉林农业大学学报, 2004, 26(3): 256-259
作者姓名:焦晓国  宣维健  王红托  盛承发
作者单位:中国科学院动物研究所,北京,100080;中国科学院动物研究所,北京,100080;中国科学院动物研究所,北京,100080;中国科学院动物研究所,北京,100080
基金项目:中国科学院东北农业创新工程重大项目资助(KZCX1 Y CA 07)
摘    要:2003年在吉林省柳河县,采用水盆诱捕器,对越冬代水稻二化螟的累计诱蛾量与水稻受害率之间的相关性进行了研究。结果表明:6月5日至7月1日每块稻田二化螟累计诱蛾量与相应稻田田间卵块密度、稻株受害率之间存在显著线性相关关系。二化螟卵块密度y1与诱捕器累计诱蛾量z的回归方程为y1=0.0022x-0.1877;水稻枯鞘株率y2和枯鞘穴率y3与诱捕器累计诱蛾量x的回归方程分别为Y2=0.0023x-0.2907,Y,=0.0114z-1.0918;水稻白穗株率y1与诱捕器累计诱蛾量x的回归方程为y1=0.0015x-0.2718。由二化螟发蛾高峰日前的性诱捕器累计诱蛾量,可以准确预测田间二化螟的卵块密度和水稻受害水平。提前1~2周指导大田防治,

关 键 词:二化螟  性诱剂  测报  相关性
文章编号:1000-5684(2004)03-0256-04

Correlation Analysis between the Chilo suppressalis Male Moths Caught by Pheromone Traps and the Forecasting Indexes
JIAO Xiao-guo,XUAN Wei-jian,WANG Hong-tuo,SHENG Cheng-fa. Correlation Analysis between the Chilo suppressalis Male Moths Caught by Pheromone Traps and the Forecasting Indexes[J]. Journal of Jilin Agricultural University, 2004, 26(3): 256-259
Authors:JIAO Xiao-guo  XUAN Wei-jian  WANG Hong-tuo  SHENG Cheng-fa
Abstract:The correlations between the overwinteringChilo suppressalis male moths caught by pheromone traps and the forecasting indexes were studied in Liuhe county of Jilin province in 2003. The results indicated that there were significant linear correlations between the total number of male moth caught from June 6 to July 1 by the pheromone traps in each piece of rice field and the egg-mass density, the percentages of rice plants damaged in the corresponding field. The regression equations between the egg-mass density (y_1), percentage of damaged rice plants stems (y_2), damaged rice plants hills (y_3), damaged rice plants white heads (y_4), and the cumulative male moth catches (x) were y_1=0.002 2x-(0.187 7), y_2=0.002 3x-0.290 7, y_3=0.011 4x-1.091 8, and y_4=0.001 5x-0.271 8, respectively. Based on the male moth catches up to the peak day (July 1), it was reliable that the decision-making for control could be done within 2 weeks after the peak day of the moth emergence.
Keywords:Chilo suppressalis  sex pheromone  forecasting  correlation
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