Australasian Plant Pathology ( IF 0.9 ) Pub Date : 2021-09-15 , DOI: 10.1007/s13313-021-00823-y Leonardo Leoni Belan 1 , Lucas Santos Satiro 1 , Willian Bucker Moraes 1 , Leônidas Leoni Belan 2 , Wanderson Bucker Moraes 3 , Waldir Cintra de Jesus Junior 4
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Abstract
Coffee leaf rust (Hemileia vastatrix) is considered the main disease of conilon coffee (Coffea canephora). Sampling methods aiming at accurate estimation of disease intensity are key for epidemiological studies and management, but there is not one method available for leaf rust of conilon. Thus, the objective with this study was to develop and validate a method to sample leaves to estimate the incidence of rust in conilon coffee plants. Nine within-plant sampling methods for rust incidence (proportion of symptomatic leaves), based on a combination of canopy height of plagiotropic branches, node position and leaf number per branch were established and evaluated during monthly assessment of natural epidemics from October 2011 to April 2013, representing two stages of crop development. The monthly estimated incidence values were compared to the actual rust incidence using linear regression, Lin’s concordance correlation (ρc) and progress curve. The most efficient method was selected based on accuracy and precision. The most accurate and precise sampling method by which to represent the actual incidence was of all the leaves from four plagiotropic branches distributed in the four quadrants in the upper third of the plant. This method was efficient during all crop development stages. Moreover, the estimated incidence progress curve showed the same pattern of temporal distribution as the actual incidence. Thus, a specific method for leaf sampling and estimating the incidence of leaf rust in conilon coffee plants was developed and validated.
Graphic abstract
中文翻译：
准确估计锥叶咖啡叶锈病发生率的采样方法比较
摘要
咖啡叶锈病（Hemileiavastatrix）被认为是科尼隆咖啡（Coffea canephora）的主要病害。）。以准确估计病害强度为目标的采样方法是流行病学研究和管理的关键，但没有一种方法可用于玉米叶锈病。因此，本研究的目的是开发和验证一种对叶子进行采样的方法，以估计 conilon 咖啡植物的锈病发生率。在 2011 年 10 月至 2013 年 4 月的自然流行月度评估期间，基于斜向枝的冠层高度、节点位置和每枝叶数的组合，建立并评估了 9 种锈病发生率（有症状叶子的比例）的植物内采样方法，代表作物发育的两个阶段。使用线性回归、Lin 的一致性相关性 (ρc) 和进展曲线将每月估计的发生率值与实际锈蚀发生率进行比较。根据准确度和精密度选择最有效的方法。代表实际发病率的最准确和精确的采样方法是对分布在植物上三分之一的四个象限中的四个斜向分支的所有叶子进行采样。这种方法在所有作物发育阶段都是有效的。此外，估计的发病率进展曲线显示出与实际发病率相同的时间分布模式。因此，开发并验证了一种用于叶采样和估计 conilon 咖啡植物叶锈病发生率的特定方法。代表实际发病率的最准确和精确的采样方法是对分布在植物上三分之一的四个象限中的四个斜向分支的所有叶子进行采样。这种方法在所有作物发育阶段都是有效的。此外，估计的发病率进展曲线显示出与实际发病率相同的时间分布模式。因此，开发并验证了一种用于叶采样和估计 conilon 咖啡植物叶锈病发生率的特定方法。代表实际发病率的最准确和精确的采样方法是对分布在植物上三分之一的四个象限中的四个斜向分支的所有叶子进行采样。这种方法在所有作物发育阶段都是有效的。此外，估计的发病率进展曲线显示出与实际发病率相同的时间分布模式。因此，开发并验证了一种用于叶采样和估计 conilon 咖啡植物叶锈病发生率的特定方法。
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