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大豆花叶病流行因素和发生预测研究
引用本文:罗瑞梧,尚佑芬,杨崇良,赵玖华,李长松.大豆花叶病流行因素和发生预测研究[J].植物保护学报,1991,18(3):267-271.
作者姓名:罗瑞梧  尚佑芬  杨崇良  赵玖华  李长松
作者单位:山东省农业科学院植物保护研究所 济南
摘    要:1984—1989年于济南研究诸因素对病害流行的作用。研究表明,大豆品种抗性和初始毒源数量为病害流行的主导因素。大豆幼苗期最感病,开花期为发病高峰。在春大豆苗期温度偏高雨量偏少及夏大豆苗期温度偏低雨量偏多的情况下,有利花叶病发生。对13种蚜虫进行饲毒接毒试验,证明桃蚜(Myzus persicae)、豆蚜(Aphis craccivora)和大豆蚜(Aphisglycines)可传毒,对病害田间流行有重要影响。对5年的16组数据应用IBM微机进行逐步回归和通径分析,组建发生预测模型。

关 键 词:大豆  花叶病  流行  预测

STUDIES ON EPIDEMIOLOGY AND PREDICTION OF SOYBEAN MOSAIC VIRUS
Luo Ruiwu,Shang Youfen,Yang Chongliang,Zhao Jiuhua and Li Changsong.STUDIES ON EPIDEMIOLOGY AND PREDICTION OF SOYBEAN MOSAIC VIRUS[J].Acta Phytophylacica Sinica,1991,18(3):267-271.
Authors:Luo Ruiwu  Shang Youfen  Yang Chongliang  Zhao Jiuhua and Li Changsong
Institution:Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan,Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan,Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan,Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan and Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan
Abstract:Some epidemiological factors of SMV were studied in Jinan,Shan- dong Province from 1984 to 1989.The results indicated that the resistance of soybean cultivars and the amount of primary inoculum sources domi- nated the dynamic aspects of SMV epidemics.It was found that the Soy- bean was easiestly infected by SMV during seedling stage and the peak of disease incidence happened during flowering stage.During seedling stage higher temperature and less rain for spring cropping soybean and lower temperature and more rain for summer cropping soybean were fa- vourable to disease development.Vector-transmission experiments with 13 species of aphis showed that Myzus persicae,Aphis craccivora and A. glycines were the major vectors which played an important role in trans- mission of SMV in soybean fields.Models of disease occurence forecast were established by means of stepwise regression and path analysis on 16 groups of data obtained in 5 years.
Keywords:soybean mosaic virus  epidemiological factors  predictive model  aphid vectors  
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