The temporal progress of candeia rust, caused by the fungus Puccinia velata, was monitored in an experimental field at Lavras municipality, Southern Minas Gerais state, Brazil. A plantation with 17 Eremanthus erythropappus clones was set at the site, and the temporal disease progress was analyzed based on visual assessments of disease severity on leaves. The disease was monitored monthly between September 2016 and August 2017. Progress curves based on disease severity were constructed and empirical models were fitted. The area under the disease progress curve (AUDPC) was calculated, and the means test was applied to select clones resistant to the disease. The Pearson coefficient was used to assess correlations between disease severity and environmental variables. The model that best described disease progress over the assessment period was the Gompertz model. The mean AUDPC values were grouped into four groups of resistance levels according to the Scott–Knott test. There was a negative correlation between air temperature and disease severity. Considering that the disease occurred in all clones and that the climatic conditions of Southern Minas Gerais are favorable to the candeia rust, it is important to adopt measures for the selection of clones resistant to this disease.

中文翻译：

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克隆的假丝酵母人工林中由锈菌引起的假丝酵母的时间进展。

在巴西南米纳斯吉拉斯州拉夫拉斯市的一个实验田中，监测了由真菌Puccinia velata引起的念珠菌锈病的暂时进展。种植有17个Eremanthus erythropappus的人工林在该位置设置克隆，并根据视觉评估叶片上的病害严重程度来分析时间疾病进展。在2016年9月至2017年8月之间每月监测一次疾病。建立了基于疾病严重程度的进展曲线，并建立了经验模型。计算疾病进展曲线（AUDPC）下的面积，并采用均值检验选择对疾病具有抗性的克隆。皮尔逊系数用于评估疾病严重程度与环境变量之间的相关性。在评估期间最能描述疾病进展的模型是Gompertz模型。根据Scott-Knott检验，平均AUDPC值分为四组阻力水平。气温与疾病严重程度之间呈负相关。