英文摘要 |
"The time effect often plays an important role in the study of plant epidemiology. Usually, the extent of diseases that occur in a plant population is assessed several times during plant growth. The results are collected and analyzed as a disease progress curve, which is plotted as disease intensity against the time frame of the measurements. Such a disease progress curve is essential for epidemiological research. Traditionally, disease epidemics were described using one or more descriptive parameters, such as the rate of disease progress. The most commonly used model is the growth curve model. However, there are some flaws in this model based on discussions in the previous literature. Therefore, we utilized two other approaches to describe, analyze, and compare epidemics, i.e., the area under the disease progress curve and repeated-measures analysis of variance. We further used a dataset consisting of the effect of several fungicides of rice leaf blast to illustrate these two approaches and evaluate which fungicide was better when used in the field." |