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玉米低温冷害动态评估和预测方法

马树庆1;刘玉英1;王琪2   

  1. 1吉林省气象台, 长春 130062;2吉林省气象科学研究所, 长春 130062
  • 收稿日期:2005-11-08 修回日期:2006-08-02 出版日期:2006-10-18 发布日期:2006-10-18

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

摘要: 为了防御和减轻玉米低温冷害,应用改进的玉米生长发育和干物质积累动态模型,采用新的玉米低温冷害指标和参数,建立了玉米低温冷害发生及损失程度的动态预测和评估方法.该方法遵循积温学说和玉米生物学、生态学原理,用相对积温作为发育期预报和灾害判别的主导因子,用干物质亏缺率代表冷害减产率.经代表地区不同气候年型的验证和试用,证明该冷害预报和评估方法具有较好的客观性和适用性,经过参数和指标调整后,可应用于东北地区各地.

关键词: 土壤干层, 土壤水分, 陕北黄土高原, 刺槐, 分布

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