浙江农业学报

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水稻双季改单季病害长期运动规律与节点防控技术研究

  

  1. (浙江省临海市农技推广中心,浙江 临海317000)
  • 出版日期:2015-06-25 发布日期:2015-06-26

The motion regularity and control by critical control points analysis of rice diseases after changing ‘double cropping’ to ‘single cropping&rsquo

  1. (Linhai Agricultural Technique Extension Center, Linhai 317000, China)
  • Online:2015-06-25 Published:2015-06-26

摘要: 为探明水稻双季改单季病害长期运动规律,提高单季稻制度病害防控水平,对临海市1995— 2012年水稻病害测报资料和近年防治试验与应用进行分析。结果表明,随双季稻—单双并存—单季稻渐进变化,水稻主要病害从纹枯病—稻瘟病—细菌性条斑病(白叶枯病)结构,逐渐演变成纹枯病—黑条矮缩病—稻曲病(穗瘟)结构,且态势渐趋加重。基于以上数据创建纹枯病、黑条矮缩病、稻曲病长期演变的数学模型,提出单季稻病害防控的关键点主要在于做好苗期治虱防矮、分蘖期病害发病中心控制、穗期病害“三看”预防和局部病害局部防控等4个节点防控技术。因此,单季稻制度病害防控需针对病害演变动态,注重从单病适时防控向整体节点长效防控转变,完善节点防控技术,从而保障单季稻的超高产栽培。

关键词: 水稻, 病害, 运动规律, 数学模型, 节点防控

Abstract: Data from forecast and control of rice diseases during 1995-2012 in Linhai were analyzed in this study to reveal long\|term movement rule of rice diseases after changing from double into single cropping system, which was supposed to be helpful to improve diseases control level. The results showed that there was a gradually aggravated trend in the evolution from the former structure of main rice diseases, sheath blight, blast and bacterial stripe (bacterial blight), to a structure of sheath blight, black\|streaked dwarf and false smut (panicle blast). A mathematical model for long\|term diseases movement of sheath blight, black\|streaked dwarf, false smut has been established. Four key points were proposed to control single\|cropping rice diseases, controlling planthoppers to prevent dwarf at seedling stage, managing disease center at tillering stage, three check\|ups for preventing at heading stage, and local prevention for local diseases. Therefore, to ensure super\|high\|yield cultivation of single\|cropping rice, diseases control strategies in single\|cropping system need to be adjusted basing on understanding the diseases movement rules and improving node management technology, rather than timely treating for single disease.

Key words: rice, diseases, motion regularity, mathematical model, control by critical control point