基于1992-2010年梅河口站玉米长期观测资料对目前常用的5类玉米低温冷害指标方法(生长季温度距平指标、生长季积温指标、作物生育期距平指标、热量指数指标和玉米低温冷害综合指标)的准确性评估表明,考虑不同发育期差异的低温冷害综合指标方法的准确率达67％,其他指标方法的准确性都偏低.究其原因在于这些指标的建立都来自于特定的地域与时段,没有从过程与机制出发,限制了在其他地区与时段应用的准确性.因此,为提高玉米低温冷害预报的准确性,需要加强玉米低温冷害过程的机制及其模拟研究.%The accuracy of five corn chilling damage indices (temperature anomaly index, accumulated temperature index, heat index, safety tasseling period index, comprehensive index) was evaluated in Meihekou, Jilin province in this study, based on long-term observation data of corn ecosystem in Meihekou agrometeorological station, China Meteorological Administration during 1992—2010. The results indicated that the accuracy of corn chilling damage in Meihekou, Jilin province reached about 67% by the comprehensive index of corn chilling damage considering the difference at different growing stages, but much lower accuracy was found from other indices. The main reason is that these corn chilling damage indices are established from specific regions and specific periods, therefore they do not consider the processes and mechanisms of corn chilling damage yet. Thus, this kind of indices should be modified and should take other regions and other study periods into account. Therefore, it is necessary to strengthen re-seareh on simulation and and mechanisms of corn chilling damage processes, in order to improve the accuracy of corn chilling damage prediction.
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