›› 2006, Vol. 49 ›› Issue (4): 705-709.doi:

• 研究论文 • 上一篇    下一篇

用诱蛾量和有效积温模型预测东北越冬代水稻二化螟发生期

焦晓国, 宣维健,盛承发*   

  1. (中国科学院动物研究所,农业虫鼠害综合治理研究国家重点实验室,北京100080)
  • 出版日期:2006-09-29 发布日期:2006-08-20
  • 通讯作者: 盛承发

A forecasting model for emergence and flight pattern of the overwintering generation of Chilo suppressalis (Lepidoptera: Pyralidae) based on pheromone trapcatches and degree-days in northeastern China

JIAO Xiao-Guo, XUAN Wei-Jian, SHENG Cheng-Fa   

  1. State Key Laboratory of Integrated Management of Pest Insects and Rodents,Institute of Zoology, Chinese Academy of Sciences, Beijing 100080, China
  • Online:2006-09-29 Published:2006-08-20
  • Contact: SHENG Cheng-Fa

摘要: 在吉林省柳河县绿色稻米生产区,采用1999~2001年间3月1日后有效积温和水稻二化螟诱捕器诱蛾量数据,用线性模型探讨了当地有效积温和诱捕器诱蛾量之间的关系。由建立的线性模型确定越冬代水稻二化螟发蛾始盛期、高峰期和盛末期所需有效积温分别为238.323、339.418和483.398日·度。 采用吉林长春稻区2002~2004年3年间数据比较模型预测值和观察值之间的差异,有效积温的误差值在3.882~26.943日·度之间,相应时间误差为 0~3 天。模型预测准确性较好,可用以及时指导大田防治。

关键词: 二化螟, 预测模型, 有效积温, 诱蛾量

Abstract: A linear forecasting model to monitor the spring emergence and flight pattern of the overwintering generation of the rice stem borer, Chilo suppressalis (Walker), in northeastern China was developed.The model is based on the correlation between the pheromone trap catches and corresponding degree-days (DDs) calculated from 1 March above the threshold of 12.9℃ in Liuhe, Jilin in 1999-2000. Overwintering adults generally begin to appear in Liuhe rice fields after 126.995 cumulative DDs. The DD accumulations from 1 March corresponding to the capture of 10%, 50% and 90% of all male moths throughout the flight season were 238.323, 339.418 and 483.398, respectively. The comparison of the predicted results with the observed data in three years (2002-2004) in Changchun city verified the reliability of the log-probit line forecasting model,which indicated that the error of DDs varied from 3.882 to 26.943, and the corresponding error of dates (between the observed and predicted dates) was 0-3 days. In rice-producing regions in northeastern China, farmers could use the results of the forecasting model to help make decisions for the effective control of the rice stem borer.

Key words: Chilo suppressalis, forecasting model, degree-days, trap catches