[1]陈冰,林汉龙,宋祖钦,等.基于经验法则的水稻细菌性条斑病气候年型分析[J].气象研究与应用,2020,41(01):26-30.[doi:10.19849/j.cnki.CN45-1356/P.2020.1.06]
 Chen Bing,LinHanlong,Song Zuqin,et al.Climatic year pattern analysis of rice bacterial leaf streak based on the rule of thumb[J].Journal of Meteorological Research and Application,2020,41(01):26-30.[doi:10.19849/j.cnki.CN45-1356/P.2020.1.06]
点击复制

基于经验法则的水稻细菌性条斑病气候年型分析()
分享到:

气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第41卷
期数:
2020年01期
页码:
26-30
栏目:
研究论文
出版日期:
2020-03-31

文章信息/Info

Title:
Climatic year pattern analysis of rice bacterial leaf streak based on the rule of thumb
作者:
陈冰1 林汉龙2 宋祖钦1 陈观浩3 何泽华1 王春霞1
1. 广东省化州市气象局, 广东 化州 525100;
2. 广东省化州市笪桥镇农业技术推广站, 广东 化州 525132;
3. 广东省化州市病虫测报站, 广东 化州 525100
Author(s):
Chen Bing1 LinHanlong2 Song Zuqin1 Chen Guanhao3 He Zehua1 Wang Chunxia1
1. Huazhou Meteorological Service, HuazhouGuangdong 525100;
2. Daqiao Agricultural Technology Extension Station, HuazhouGuangdong 525132;
3. Forecast Station of Plant Disease and Insect Pests of Huazhou, Huazhou Guangdong 525100
关键词:
细菌性条斑病经验法则气象因子气候年型
Keywords:
bacterial leaf streakrule of thumbmeteorological factorclimatic year pattern
分类号:
P468
DOI:
10.19849/j.cnki.CN45-1356/P.2020.1.06
摘要:
利用广东省化州市1989-2016年晚稻细菌性条斑病资料和同期气象资料,采用合成分析和秩相关分析,筛选出影响细菌性条斑病发生的关键气象因子;基于经验法则,利用水稻细菌性条斑病发生阶段的温度、降水距平,判别细菌性条斑病发病程度,并确定了细菌性条斑病发生流行的气候年型与预测指标。经历史回代,判别细菌性条斑病发病程度符合率为82.1%,并进行了2017-2019年的外延指标判别,符合率达100%,综合判别符合率在83%以上。
Abstract:
Based on the data of bacterial leaf streak of late rice from 1989 to 2016 in Huazhou, Guangdong Province, and the meteorological data of the same period, the key meteorological factors affecting the occurrence of bacterial leaf streak were screened out by using synthetic analysis and rank correlation analysis. Based on the rule of thumb, the occurrence degree of bacterial leaf streak was determined by the temperature and precipitation in the occurrence stage of bacterial leaf streak, and the climatic year pattern and prediction index of bacterial leaf streak were determined. After historical regression, the coincidence rate of judging the incidence of bacterial stripe disease was 82.1%. The 2017-2019 extension index was judged, the compliance rate reached 100%, and the comprehensive judged compliance rate was above 83%.

参考文献/References:

[1] Niňo-liu D O, Ronald P C, Bogdanove A J. Xanthomonasoryzaepathovars:model pathogens of a model crop[J]. Molecular Plant Pathology, 2006,7(5):303-324.
[2] 张荣胜,陈志谊,刘永锋.水稻细菌性条斑病研究进展[J].江苏农业学报,2014,30(4):901-908.
[3] 翁邦佐,吴明河,卢东,等.气象因子对晚稻细菌性条斑病发病程度的影响[J].中国植保导刊,2010,30(2):31-32.
[4] 童贤明,徐鸿润,朱灿星.水稻细菌性条斑病发生及流行因子分析[J].植物保护学报,1995,22(2):97-101.
[5] 许志刚,刘凤权,沈秀萍,等.水稻白叶枯病和条斑病的流行与预测(综述)[J].西南农业大学学报,1998,20(5):567-572.
[6] 朱庆春,陈冰,陈红春,等.化州市晚稻细菌性条斑病发生的气象预测模型研究[J].中国植保导刊,2013,33(3):44-46.
[7] 吴冠清,陈观浩,周成,等.晚稻细菌性条斑病发病程度模糊预测[J].江西植保,2009,32(1):29-31.
[8] 周志军.晚稻细菌性条斑病预测方式的探讨[J].植物保护,1992,18(4):9-11.
[9] 封光华,刘友胜,孙同心,等.晚稻细菌性条斑病流行趋势预测模型的研究[J].江西农业学报,1998,10(2):54-58.
[10] 陈征,诸葛龙,黄英,等.水稻细菌性条斑病系统管理模型的研究[J].计算机与农业,1999,(1):20-26.
[11] 李仲惺,楼珏,卢华金.水稻细菌性条斑病发病程度与发病因子关系探讨[J].中国稻米,2016,22(4):62-64.
[12] 刘瑞强,陈观浩,胡福胜.应用数学模型模拟水稻细菌性条斑病发生动态[J].江西植保,2007,30(1):21-22.
[13] 姚树然,霍治国,司丽丽.基于经验法则的小麦白粉病气候年型分析[J].生态学杂志,2013,32(4):981-986.
[14] 于玲,杨彬云,相云,等.不同气候年型棉铃虫气象指标系统的研究[J].中国农业气象,2000,21(3):27-32.
[15] 沈建新,董国堃,张水妹,等.水稻细菌性条斑病发生流行与综防技术[J].植物保护,2002,28(1):33-34.
[16] 黄佳仁,张德英,彭树初,等.湖南水稻细菌性条斑病发生因子及其控防对策[J].湖南农业科学,1992,(2):36-38.
[17] 陈观浩,吴冠清,陈端,等.化州市水稻细菌性条斑病流行规律及测报防治[J].广东农业科学,2008,(11):67-69.

备注/Memo

备注/Memo:
收稿日期:2019-11-25。
基金项目:广东省科技计划项目 (2013B020416002),茂名市科技计划项目(2019455)
作者简介:陈冰(1973-),女,高级工程师,主要从事应用气象及气象服务研究。E-mail:522033051@qq.com
通讯作者:陈观浩(1957-),男,推广研究员,主要从事农作物有害生物生态学与预测预报研究。E-mail:cgh7909986@126.com
更新日期/Last Update: 1900-01-01