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应用生态学报 ›› 1991, Vol. 2 ›› Issue (3): 258-263.

• 研究论文 • 上一篇    下一篇

大棚黄瓜霜霉病气候生态防治方法研究再报——高温控制与病情和产量关系及其防治指标

马树庆, 马吉祥, 梁洪海   

  1. 吉林省气象科学研究所, 长春 130062
  • 收稿日期:1989-12-22 出版日期:1991-07-25 发布日期:1991-07-25

A further report on the study of climate-ecological prevention way of cucumber downy mildew: the relationship of high-temperature controlling with disease damage and yield and its prevention indices

Ma Shuqing, Ma Jixiang, Liang Honghai   

  1. Meteorological Institute of Jilin Province, Changchun 130062d:\PDF\.pdf
  • Received:1989-12-22 Online:1991-07-25 Published:1991-07-25

摘要: 本文采用田间温度控制试验资料,用数理统计的方法分析高温控制范围、控制时间和控制频率与大棚黄瓜霜霉病的发生期、流行期、发生程度以及产量的关系,并建立了统计相关模式,确定了高温控制生态防治方法的技术指标。最高温度、高温控制时间和控制频率这3个主要指标与病情和黄瓜产量的关系非常密切,最高气温每升高1℃,发病期和流行期将推迟3—5天,病叶率降低13—15%,黄瓜产量可增长10%左右。在一定范围内,控制时间越长,频率越高,则发病期和流行期越晚,病情越轻,产量越高。研究证明,高温控制方法是一个有效的生态防治方法,具有明确的气候生态学依据。

关键词: 黄瓜霜霉病, 温度控制, 相关分析, 生态防治指标

Abstract: Based on field experiment data and with statistical method, this paper analyzed the relationship of range, time and frequency of high-temperature controlling with periods of development and prevailing of cucumber downy mildew, its damage degree and cucumber yield. Relative models were established and technic indices of high-temperature controlling method were defined. Three main indices (maximum temperature, period of hightemperature controlling and controlling frequency) relate closely to damage degree and cucumber yield. If the maximum temperature raises by 1℃, periods of disease development and prevailing will delay by 3—5 days, percentage of damaged leaf will decrease by 13—15% and cucumber yield will increase by 10% or so. Within a definite range, longer controlling period and higher controlling frequency will induce a later disease development and prevailing period, lower damage degree and higher cucumber yield. It is proved that high-temperature controlling method is an effective ecological prevention way, which has a definite climate-ecological basis.

Key words: Cucumber downy mildew, High-temperature controlling, Correlation analysis, Ecological prevention index