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王平,王晓黎,李洪浩,等.四川马铃薯晚疫病绿色防控与生态环境保护[J].农学学报,2018,8(12):.,et al.Green Prevention of Phytophthora infestans in Sichuan[J].Journal of Agriculture,2018,8(12):
四川马铃薯晚疫病绿色防控与生态环境保护
Green Prevention of Phytophthora infestans in Sichuan
投稿时间:2017-10-16  修订日期:2018-03-23
DOI:10.11923/j.issn.2095-4050.cjas17100008
中文关键词: 马铃薯  晚疫病  抗病品种  CARAH预警模型  四川省
英文关键词: potato  Phytophthora infestans  the resistant varieties  CARAH warning model  Sichuan Province
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基金项目:国家农业产业技术体系四川薯类创新团队项目(川农业函[2014]91 号);四川省农科院2018 年度科技成果中试熟化项目“马铃薯新模式新 技术及保鲜贮藏技术集成示范”。
作者单位E-mail
王平 四川省农业科学院 wangxiaoli16@126.com 
王晓黎 四川省农业科学院植物保护研究所 wangxiaoli16@126.com 
李洪浩 四川省农业科学院植物保护研究所 wangxiaoli16@126.com 
刘波微 四川省农业科学院植物保护研究所 wangxiaoli16@126.com 
沈学善 四川省农业科学院 wangxiaoli16@126.com 
黄涛 四川省农业科学院 wangxiaoli16@126.com 
中文摘要:
      为绿色防控马铃薯晚疫病,2012-2015 年将四川省通过审定的马铃薯(Cucumis sativus)抗晚疫病新品种在昭觉县、布拖县和盐源县等10 个县进行品种比较展示试验,结果表明,抗病品种的发病率和病情指数明显低于主栽品种‘米拉’的发病率和病情指数,产量明显高于‘米拉’的产量,抗病品种增产、增收。在防治晚疫病方面,抗病品种可以减少用药量25%左右。2014 年,引进比利时CARAH模型,在叙永县设置马铃薯晚疫病预测预报试验点(观察圃),采用Hobo测量仪定时收集气象数据,探索马铃薯晚疫病的预测预报。田间调查的晚疫病初次发病时间是5 月30 日,CARAH模型分析得到的初次发病时间是5 月31 日,两者结果基本一致。2015 年,将晚疫病预测预报扩展到四川省7 个县市,结果表明CARAH模型可以用于晚疫病的预测预报。
英文摘要:
      The paper aims to study green prevention and control of potato Phytophthora infestans. In 2012-2015, the P. infestans resistant varieties of potato authorized by Sichuan Province were tested in 10 counties including Zhaojue, Butuo, Yanyuan and so on. The results revealed that morbidity and disease index of the resistant varieties were significantly lower than those of‘Mira’, but the yield was significantly higher than that of‘Mira’, the resistant varieties could increase production and income and reduce about 25% of the drug usage in controlling P. infestans. In 2014, we introduced CARAH from Belgium and set up test point for the prediction of the disease in Xuyong, used Hobo to gather meteorological data in time. The results revealed that the first disease time was May 30 by the field investigation, and May 31 predicted by CARAH model, the results were generally consistent. We expanded the prediction to 7 counties in 2015, the results revealed that CARAH model was applicable to P. infestans prediction.
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