Southern leaf blight is a major stress of maize, happening in most regions of China, especially in summer corn region. In this study, the Huang-Huai-Hai and Northeast and North China plain were chosen as the study area. Firstly, the meteorological factors resulting in Bipolaris maydis were selected through the correlation analysis between the sample meteorological data and maize regional trial data in the same county. Those were the number of the days (DT) with daily average temperature from 25 to 27 ℃ and the number of the days (dr) with daily rainfall between 1 and 25 mm during June, July and August. Secondly, a quantitative expression on southern corn leaf blight (Y), Y=0.05103.Dt+0.04333.DR, was created by multivariable regression method. Using the equation, the stress of each meteorological station was calculated, and then, the stress of each county was estimated using geostatistics analysis tool of interpolation in ArcGIS. At last, the stress was compared by the equation with statistical findings and survey results, the results showed that the stress was more serious in the Huang-Huai-Hai plain, which coincides with the actual situation. In this study, the quantitative expression of southern corn leaf blight could provide simulation data of environment stresses at the county level, which could be a data source for precise extension of variety, test environment selection of field trial and environment evaluation.%小斑病是玉米的重要胁迫之一,在中国频繁发生,尤以夏玉米产区为主.通过对黄淮海、东华北玉米产区国家区试点发病情况与气象因素的相关性分析,筛选出影响小斑病的气象因子,即6、7、8月的日均温度为25～27℃的天数Dr及日降雨量为1～25 mm的天数DR.然后用多元回归方法建立玉米种植环境小斑病y的定量表达式,初步研究结果为Y=0.05103DT+0.04333DR.运用该式计算气象站点的小斑病值,利用ArcGIS中的地理统计分析工具,插值估计整个研究区域的发病情况,并做县级区域统计,比较黄淮海、东华北两大玉米产区的小斑病分布情况,发现黄淮海发病严重,与统计结果和实际调查吻合.该研究提出的玉米种植环境小斑病定量表达方法,能提供精确到县级的环境胁迫模拟数据,可作为品种精准推广、试验环境筛选、环境评价等所需量化信息的一种来源.
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