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用数学语言来说,病害流行程度是寄主,病原和环境条件三方面因素的函数。流行程度是依变量,寄主数量和抗病性程度、病原菌量和致病性、环境条件中对流行有影响的因素如温度、湿度、雨量、露量、日照、风速……传病昆虫数量以及有关的人为措施等等都是自变量。如果这些变量都能测得数据,而且能建成符合植物病理学理论的函数关系,那么就可以进行流行动态的数理分析,使流行学研究从定性进入定量。由于病害流行是个复杂的动态系统,在研究上就需要由浅入深,由简到繁。这就需要制
In mathematical language, the prevalence of disease is a function of three factors, host, pathogen and environmental conditions. The prevalence is dependent on the variables, the number of hosts and the degree of disease resistance, the amount of pathogenic bacteria and pathogenicity, the epidemic influencing factors in the environmental conditions such as temperature, humidity, rainfall, dewfall, sunshine, wind speed ... the number of transmitted insects and The man-made measures and so on are all independent variables. If all of these variables can be measured and functional relationships built to plant pathology can be constructed, then a dynamic mathematical analysis can be conducted to make epidemiological studies qualitatively quantitative. As the disease epidemic is a complex dynamic system, it is necessary to make a thorough research from the simple to the complex. This requires system