DocumentCode :
2706262
Title :
Evaluation of wind-induced lodging risk for maize cultivar based on GIS
Author :
Mi, Chunqiao ; Zhang, Xiaodong ; Li, Shaoming ; Yang, Jianyu ; Zhu, Dehai
Author_Institution :
Dept. of Geographic Inf. Eng., China Agric. Univ., Beijing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
Lodging in maize causes severe yield loss annually. In this study, a total of 687 growing counties in or near Huang-Huai-Hai Plain, China were chosen as study area. First, cultivar lodging resistance was determined based on frequency distribution analysis using the data of national regional trials for maize cultivar in recent 9 years. Then, environment lodging stress was assessed based on probability analysis of extreme wind event in maize vegetative stage using meteorology data in recent 59 years. Last, lodging risk was evaluated combining cultivar lodging resistance with local environment lodging stress. Cultivars NH1101 and Xianyu 335 were taken as examples and the results analyzed with GIS indicated that lodging risk related not only to local environment lodging stress but also to cultivar lodging resistance. It can facilitate the identification of high-risk growing environments so as to reduce the risk and loss of lodging in maize.
Keywords :
crops; geographic information systems; wind; China; GIS; Huang-Huai-Hai Plain; cultivar NH1101; cultivar Xianyu335; cultivar lodging resistance; extreme wind event; frequency distribution analysis; growing counties; high-risk growing environments; local environment lodging stress; lodging risk evaluation; maize cultivar; maize vegetative stage; meteorology data; national regional trials; probability analysis; wind-induced lodging risk; Gaussian distribution; Geographic Information Systems; Resistance; Stress; Wind speed; Geographic Information System (GIS); cultivar lodging resistance; environment lodging stress; lodging in maize; lodging risk evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980713
Filename :
5980713
Link To Document :
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