| Climatic regionalization and yield prediction models of rapeseed (Brassica napus) in Linxia high-cold region of Gansu province |
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| DOI：10.7606/j.issn.1000-7601.2013.02.10 |
| Key Words: rapeseed (Brassica napus) climatic condition yield prediction model |
| Author Name | Affiliation | | SUN Yulian | Institute of Arid Meteorology, China Meteorological Administration / Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province / Key Open Laboratory of Arid Climatic Change and Disaster Reduction of China Meteorological
Administration, Lanzhou, Gansu 730020, China
Linxia Hui Autonomous Prefecture Meteorological Bureau, Linxia, Gansu 731100, China | | BIAN Xuejun | Linxia Hui Autonomous Prefecture Meteorological Bureau, Linxia, Gansu 731100, China | | HUANG Chengxiu | Linxia Hui Autonomous Prefecture Meteorological Bureau, Linxia, Gansu 731100, China | | JIA Xiaoqin | Linxia Hui Autonomous Prefecture Meteorological Bureau, Linxia, Gansu 731100, China | | MA Xujie | Linxia Hui Autonomous Prefecture Meteorological Bureau, Linxia, Gansu 731100, China | | CAI Guangzhen | Linxia Hui Autonomous Prefecture Meteorological Bureau, Linxia, Gansu 731100, China | | WANG Kun | Linxia Hui Autonomous Prefecture Meteorological Bureau, Linxia, Gansu 731100, China |
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| Abstract: |
| With the mathematical statistic methods, the climatic ecological conditions and their the influences to yield and yield components of rapeseed (Brassica napus) in Linxia region was analyzed. The results showed that the precipitation, temperature and sunshine were the main climatic factors affecting the growth of rapeseed in this region. The climatic regionalization of rapeseed planting was conducted according to the climatic factors during the growing season of rapeseed in the high-cold region, and the requirements of double low rapeseed varieties to climatic conditions at the different growth stages were analyzed. Moreover, the dynamic climatic prediction models for all of the 5 growth stages from sowing to mature were established, so as to predict the yield of double low rapeseed according to meteorological conditions. |
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