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Dynamic prediction and evaluation method of maize chilling damage

MA Shuqing1; LIU Yuying1; WANG Qi2   

  1. 1Meteorological Observatory of Jilin Province, Changchun 130062, China;2Institute of Meteorological Science of Jilin Province, Changchun 130062, China
  • Received:2005-11-08 Revised:2006-08-02 Online:2006-10-18 Published:2006-10-18

Abstract: In order to prevent and alleviate the chilling damage of maize, a dynamic prediction and evaluation method on its emergence and loss was developed by using an improved dynamic model of maize growth and dry matter accumulation, and new parameters and damage indices. The method followed the thermal constant theory and the principles of maize biology and ecology, utilized relative accumulated temperature as the leading factor of maize development stage prediction and damage discretion, and took dry matter shortage rate as the loss rate of the damage. The results of test and tryout showed that the method was objective and applicable, and suited for various places of Northeastern China through areal adjustment of parameters and indices.

Key words: Soil dry layer, Soil moisture, North Shaanxi Loess Plateau, Robinnia pseudoscacia, Distribution