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中国农学通报 ›› 2017, Vol. 33 ›› Issue (24): 144-147.doi: 10.11924/j.issn.1000-6850.casb16070025

所属专题: 水稻

• 植物保护 农药 • 上一篇    下一篇

三江平原水稻潜叶蝇发生规律及预测预报研究

顾 鑫   

  1. 黑龙江省农业科学院佳木斯分院/农业部佳木斯作物有害生物科学观测试验站
  • 收稿日期:2016-07-06 修回日期:2017-08-14 接受日期:2016-09-18 出版日期:2017-09-05 发布日期:2017-09-05
  • 通讯作者: 顾 鑫
  • 基金资助:
    黑龙江省杰出青年科学基金“利用SSR技术构建大豆种质抗灰斑病分子身份证”(JC2015005)。

Occurrence Rule and Prediction of Hydrellia griseola in Sanjiang Plain

  • Received:2016-07-06 Revised:2017-08-14 Accepted:2016-09-18 Online:2017-09-05 Published:2017-09-05

摘要: 研究旨在明确黑龙江省水稻主产区(三江平原)的水稻潜叶蝇的发生规律及影响水稻潜叶蝇发生的主要气象因子。试验从2006 年开始连续10 年在黑龙江省三江平原对水稻潜叶蝇的发生情况进行定点调查,收集水稻潜叶蝇发生时期的气象因子及第一代的虫口基数,采用通径分析及逐步回归的方法对6 月末水稻潜叶蝇百株虫口数、气象因子及第一代虫口基数进行了研究,研究结果明确了第一代虫口基数及5 月中旬的平均气温为影响水稻潜叶蝇的主要直接因子,而5 月上旬的平均温度和5 月下旬的平均温度是通过影响第一代虫口基数而间接影响了6 月末的百株虫口数。通过逐步回归建立的短期预测模型Y=-150.012-1.432X1+7.79X4+0.17X6+5.96X7-0.121X9-0.14X12-0.09X15+1.43X19回归拟合效果好。可对黑龙江省三江平原水稻潜叶蝇的发生进行中短期预测。

关键词: 鼓槌石斛, 鼓槌石斛, 无菌萌发, 无菌苗增殖, 快繁

Abstract: To determine the occurrence rule of Hydrellia griseola in rice producing areas of Heilongjiang Province (Sanjiang plain) and the main meteorological factors affecting the occurrence of Hydrellia griseola, an experiment was conducted to investigate the occurrence of Hydrellia griseola in Sanjiang plain from 2006 for 10 consecutive years, meteorological factors and the first generation of the insect population were collected during Hydrellia griseola occurrence period, by means of path analysis and stepwise regression analysis, the insect population of 100 plants, the meteorological factors and the population of the first generation of Hydrellia griseola in the end of June were studied. The results showed that the first generation of insect population and the average air temperature in the middle of May were the direct factors that affected Hydrellia griseolas, the average temperature in early May and late May influenced Hydrellia griseolas population of 100 plants by its influence on the first generation of insect population. The short term forecasting model based on stepwise regression Y=-150.012- 1.432X1+ 7.79X4+ 0.17X6+ 5.96X7- 0.121X9- 0.14X12- 0.09X15+ 1.43X19 fitting effect was good. It could be used in the prediction of Hydrellia griseola in Sanjiang plain.

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