Chinese Journal of Agrometeorology ›› 2016, Vol. 37 ›› Issue (03): 352-360.doi: 10.3969/j.issn.1000-6362.2016.03.011

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Evaluation on Maize Chilling Injury Based on WOFOST Model in Hetao Irrigation Region in Inner Mongolia

LI Xiu-fen, MA Shu-qing, ZHAO Hui-ying, WANG Ping, JIANG Li-xia, ZHU Hai-xia   

  1. 1. Heilongjiang Institute of Meteorological Sciences, Harbin 150030, China; 2. Meteorological Observatory of Jilin Province, Changchun 130062
  • Received:2015-09-10 Online:2016-06-20 Published:2016-06-20

Abstract:

Based on observed data during maize growth and development, combining with the existing research results, the localization and adaptability test of WOFOST model was carried out. Based on daily meteorological data from 12 meteorological stations in research region from 1961 to 2010, the crop parameters were partitioned. By using WOFOST model, the maize development and growth processes were simulated. The tasseling stage delayed days, filling index were determined as maize chilling injury index, and storage organ dry weight fluctuation percentage production as evaluation index, the history and production of chilling injury were analyzed. The results showed that the localized WOFOST model was an effective method in Hetao irrigation regionin Inner Mongolia, which could be used in maize simulation. WOFOST model simulated well maize development degree and response of development degree to chilling injury. According to the WOFOST maize chilling injury index, there occurred 260 stations/times different degree maize chilling injury in the region in last 50 years, the severe chilling injury accounted for 37.3%, the light and medium chilling injury accounted for 62.7%, and 84.7% of severe chilling injury years showed yield reduction. Compared with the traditional method, the new method showed more clearly biological significance, so these indicators could be applied in the business of maize chilling injury monitoring and evaluation in Hetao irrigation region in Inner Mongolia.

Key words: Maize, Chilling injury index, WOFOST model, Effect and grade evaluation, Delayed growth days, Filling index