Logarithmic Transformation is Essential for Statistical Analysis of Fungicide EC50 Values

文献类型： 外文期刊

第一作者： Liang, Hong-Jie

作者： Liang, Hong-Jie;Li, Jin-Li;Di, Ya-Li;Zhu, Fu-Xing;Zhang, An-Sheng

作者机构：

关键词： EC50 values;fungicide;log transformation;statistical analysis

期刊名称：JOURNAL OF PHYTOPATHOLOGY （ 影响因子：1.789； 五年影响因子：1.574 ）

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收录情况： SCI

摘要： Half maximal (50%) effective concentration (EC50) values are widely used to express fungicide potency and sensitivity of plant pathogens. This study explored the necessity of logarithmic transformation for statistical analysis of EC50 values. The results demonstrated that without logarithmic transformation, none of the five sets of epoxiconazole EC50 data (n=26-33) against Sclerotinia sclerotiorum fitted a normal distribution. But after logarithmic transformation, four of the five datasets became normally distributed. Of the five sets of pyraclostrobin EC50 data (n= 29-32), only one dataset fitted a normal distribution. After logarithmic transformation, four datasets became normally distributed. Logarithmic transformation transformed the heterogeneity of variance across the five sets of epoxiconazole EC50 data to homogeneity but failed to improve the heterogeneity of variance across the five sets of pyraclostrobin EC50 data. For 150 isolates' EC50 values to epoxiconazole and 153 isolates' EC50 values to pyraclostrobin, the intervals of arithmetic means +/- standard deviations (SD) covered 85.3% and 90.2% of data points, respectively, whereas the intervals of geometric means ((X) over bar*) multiplied/divided by the multiplicative SD (S*) covered 69.3% and 70.9% of data points, respectively, which approximated the theoretical value of 68.3%. Distribution normality and homogeneity of variance are prerequisites for analysis of variance (anova) and the two parameters could be improved by logarithmic transformation, therefore, power and efficiency of statistical tests on EC50 data will be greatly enhanced by this kind of transformation.

分类号： Q945

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