基于田间空气中病菌孢子浓度的小麦白粉病病情估计模型研究
Models of disease index estimation of wheat powdery mildew based on the concentrations of Blumeria graminis f. sp. tritici conidia in the fields
查看参考文献18篇
文摘
|
2014和2015两年度利用Burkard定容式孢子捕捉器监测了高感小麦白粉病品种京双16种植区和中感品种众麦2号种植区田间空气中的病菌孢子浓度变化动态,同时利用小型气象站监测了田间的气象因子,通过分析京双16和众麦2号种植区空气中孢子浓度与空气温度、湿度、降雨、风速和太阳辐射率的相关性,发现空气中的孢子浓度主要与空气温度呈显著的正相关性(r>0.348 3,P<0.05)。在此基础上,分别分析了田间病情与调查日期前累积孢子浓度、一周前累积孢子浓度、前一周累积孢子浓度和当周累积孢子浓度的关系,结果表明,中感品种众麦2号田间病情与累积孢子浓度的关系均呈指数关系,其中田间病情与调查日期前累积孢子浓度或一周前累积孢子浓度的拟合效果最好,而感病品种京双16的田间病情与累积孢子浓度多呈对数关系,其中病情指数与一周前累积孢子浓度的拟合效果最好。 |
其他语种文摘
|
Daily sporec on centration of Blumeriα graminis f. sp. tritici were monitored using Burkard volumetric spore samplers in the air of moderately susceptible variety Zhongmai2 and highly susceptible variety Jingshuang16 wheat fields in 2014 and 2015.Daily meteorological factors were recorded by meteorological station in the fields. The correlations were analyzed between spore concentration and meteorological factors, such as air temperature, humidity, rainfall, wind speed and solar radiation. The results showed that spore concentration was mainly positively and significantly correlated to air temperature(r>0.348 3,P<0.05). Then the correlations were calculated between disease index (DI)and four kind of accumulated spore concentrations, which were the accumulated spore concentration before the day of disease measuring,and the accumulated spore concentration before the current week of disease measuring,and the accumulated spore concentration in the previous week of disease measuring, and the accumulated spore concentration in the current week of disease measuring respectively. The data showed that there were exponential relationships between DI and the accumulated spore concentration in moderately susceptible variety Zhongmai2 wheat fields in 2014 and 2015,and the best DI estimating model was based on the accumulated spore concentration before the day of disease measuring or on the accumulated spore concentration before the current week of disease measuring; there were mainly logarithmic relationships between DI and the accumulated spore concentration in highly susceptible variety Jingshuang16 wheat fields in 2014 and 2015,and the best DI estimating model was based on the accumulated spore concentration before the current week of disease measuring. |
来源
|
植物病理学报
,2017,47(2):253-261 【核心库】
|
DOI
|
10.13926/j.cnki.apps.000055
|
关键词
|
小麦白粉病
;
孢子浓度
;
病情指数模型
;
气象因子
;
孢子捕捉器
|
地址
|
中国农业科学院植物保护研究所, 植物病虫害生物学国家重点实验室, 北京, 100193
|
语种
|
中文 |
文献类型
|
研究性论文 |
ISSN
|
0412-0914 |
学科
|
植物保护 |
基金
|
国家重点研发计划
;
国家973计划
;
公益性行业科研专项
|
文献收藏号
|
CSCD:5978777
|
参考文献 共
18
共1页
|
1.
Bennet F G A. Resistance to powdery mildew in wheat:A review of its use in agriculture and breeding programs.
Plant Pathology,1984,33(3):279-300
|
CSCD被引
9
次
|
|
|
|
2.
Aylor D E. Biophysical scaling and the passive dispersal of fun gusspores: relationship to integrated pestman-agements strategies.
Agricultural Forest Meteorology,1999,97(4):275-292
|
CSCD被引
2
次
|
|
|
|
3.
Estrada A B. Effect of humidity and temperature on conidial germination and appressorium development of two Philippine isolates of the mango anthracnose pathogen Colletotrichum gloeospo-rioides.
Plant Pathology,2000,49(5):608-610
|
CSCD被引
4
次
|
|
|
|
4.
Ryley M J. Patterns of release of the secondary conidia of Claviceps africana, the sorghum ergot pathogen in Australia.
Plant Pathology,2008,57(3):473-483
|
CSCD被引
2
次
|
|
|
|
5.
Chandeliera F. Detection and quantification of airborne inoculum of Hymenoscyphus pseudoalbidus using real-time PCR assays.
Plant Pathology,2014,63(6):1296-1305
|
CSCD被引
2
次
|
|
|
|
6.
Channon A G. Forecasting barley mildew development in West Scotland.
Annals of Applied Biology,1981,97(1):43-53
|
CSCD被引
2
次
|
|
|
|
7.
Browning J A. Urediospore and grain yields from interacting crown rust races and commercial multiline oat cultivars.
Phytopathology,1970,60(9):1286-1298
|
CSCD被引
1
次
|
|
|
|
8.
Roelfs A P. Natural rust epidemics in wheat nurseries as affected by inoculum density.
Plant Disease Reporter,1972,56(5):410-414
|
CSCD被引
1
次
|
|
|
|
9.
Jenkyn J F. Disease gradients and small plot experiments on barley mildew.
Annals of Applied Biology,1974,76(3):269-279
|
CSCD被引
2
次
|
|
|
|
10.
Jeger M J. Relating disease progress to cumulative numbers of trapped spores: apple powdery mildew and scab epidemics in sprayed and unsprayed orchard plots.
Plant Pathology,1984,33(4):517-523
|
CSCD被引
5
次
|
|
|
|
11.
Chen L Y. Conidial dispersal by Alternaria brassicicola on Chinese cabbage (Brassica pekinensis) in the field and under simulated conditions.
Plant Pathology,2003,52(5):536-545
|
CSCD被引
2
次
|
|
|
|
12.
Cao X R.
Monitoring of wheat powdery mildew by using hyperspectral remote sensing and dynamics of airborne conidia of Blumeria graminis f. sp. tritici (in Chinese),2009
|
CSCD被引
1
次
|
|
|
|
13.
Cao X R.
Remote sensing for wheat powdery mildew monitoring and quantification of conidia in traps using Real-time PCR (in Chinese),2012
|
CSCD被引
1
次
|
|
|
|
14.
Cao X R. Dynamics in concentrations of Blumeria graminis f. sp.tritici conidia and its relationship to local weather conditions and disease index in wheat.
European Journal of Plant Pathology,2012,132(4):525-535
|
CSCD被引
8
次
|
|
|
|
15.
Yao D M.
Application of remote sensing and pathogen conidia trap for monitoring of wheat powdery mildew (in Chinese),2013
|
CSCD被引
1
次
|
|
|
|
16.
Liu W.
Monitering of wheat powdery mildew by using remote sensing and spatiotemporal dynamics of airborne conidia of Blumeria graminis f. sp. tritici (in Chinese),2014
|
CSCD被引
1
次
|
|
|
|
17.
Liu W. Dynamic monitoring of aerial conidia of Blumeria graminis f. sp. tritici in wheat fields (in Chinese).
植物病理学报,2016,46(1):112-118
|
CSCD被引
3
次
|
|
|
|
18.
Sheng B Q. Research about host distribution of Blumeria graminis f. sp. tritici in the 11 provinces of the north of China (in Chinese).
中国农业科学,1995,28(6):52-57
|
CSCD被引
1
次
|
|
|
|
|