The objective of this research was to know the behavior of ten coffee cultivars against Hemileia vastatrix in San Ramón (Chanchamayo, Peru). The test was carried out from April 2017 to March 2018 at the Coffee Germplasm Bank, at the Regional Development Institute “La Génova” (San Ramón, Chanchamayo) of La Molina National Agrarian University. 10 cultivars were selected (Catimor, Pache, Mundo Novo, Pacamara, Caturra, Catuaí, Bourbon, Typica, Maragogype and Geisha), each one with 5 plants (2 × 1 m) of seven years of age, installed under the shade of trees of Inga sp. (12 × 12 m). For the statistical analysis, it was worked as a Completely Random Design, considering each cultivar as a treatment and each plant as a repetition. The severity was evaluated throughout a year, in the lower, middle and upper third of each plant, using a graphic scale. For the months with high severity, a comparison of means obtained in each third of the plant and for each variety was made. Then, the severity means obtained in each cultivar were compared. The results showed that the severity was different in each of the ten cultivars evaluated. Throughout the year, the highest severity values corresponded to the months of April, May and June 2017. The severity was greater in the lower third and was decreasing until the upper third of the plant, presenting statistically significant differences. Maragogype, presented the highest severity (15.9%) and Pacamara the lowest (1.3%), values that were also statistically different.

中文翻译：

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SanRamón（秘鲁Chanchamayo）的十个咖啡品种对海葵的行为

这项研究的目的是要知道向10家咖啡品种的行为驼孢vastatrix圣拉蒙（婵茶玛悠，秘鲁）。该测试于2017年4月至2018年3月在拉莫利纳国立农业大学“ LaGénova”（昌恰马约州圣拉蒙）区域发展研究所的咖啡种质银行进行。选择了10个品种（Catimor，Pache，Mundo Novo，Pacamara，Caturra，Catuaí，Bourbon，Typica，Maragogype和Geisha），每个品种都有7年龄的5种植物（2×1 m），安装在树荫下的印加sp。（12×12 m）。为了进行统计分析，将其视为完全随机设计，将每个品种视为一种处理方法，并将每种植物视为重复处理。使用图形标尺，在一年中，对每种植物的下部，中部和上部三分之一进行严重程度评估。对于严重程度较高的月份，对在植物的三分之一和每种品种中获得的平均值进行了比较。然后，比较在每个品种中获得的严重程度平均值。结果表明，在评估的十个品种中，每个品种的严重程度均不同。全年中，最高严重性值对应于2017年4月，5月和6月。严重度在植物的下三分之一处较高，并且一直下降到植物的上三分之一，具有统计学上的显着差异。马拉戈吉普