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将1983年、1984年田间小麦慢叶锈病和快叶锈病以及高抗品种上小麦叶锈病的病情调查数据,分别用逻辑斯谛方程(Logistic Equation)、冈珀茨方程(Gompertz Equation)和病害发展曲线下面积(Area Under Diseaec Paocess Curve,AUDPC)三种数学模型转换为r值,K值和A值。统计结果表明,三个参数均能反映出品种间抗病性的差异,其中r值变量随最小,K值居中,A值变量值最大并能减小年份间的差异。本文提出AUDPC更适合应用于小麦慢叶锈抗病性的研究。
The data of disease survey of leaf rust and fast leaf rust of wheat in field in 1983 and 1984 and the leaf rust of wheat in high resistant varieties were respectively analyzed by Logistic Equation, Gompertz Equation and disease development Area under the curve (Area Under Diseaec Paocess Curve, AUDPC) three mathematical models converted to r value, K value and A value. The statistical results showed that all the three parameters could reflect the difference of disease resistance among the cultivars. Among them, the r variables were the smallest, the K values were the middle, and the values of the A variables were the largest and could reduce the differences between the years. This paper proposes that AUDPC is more suitable for wheat leaf rust resistance study.