Progression of Gummy Stem Blight Epidemics on Watermelon with and without Fungicide Inputs.

IF 4.4 2区 农林科学 Q1 PLANT SCIENCES Plant disease Pub Date : 2024-08-27 DOI:10.1094/PDIS-05-24-1083-RE
Anthony P Keinath, Daniel Anco
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Abstract

Gummy stem blight (GSB), caused primarily by the fungus Stagonosporopsis citrulli in the southeastern United States, affects cucurbits and is particularly destructive on watermelon. Previous epidemiological models of GSB constructed for greenhouse cucumber showed leaf wetness and temperature were the primary and secondary environmental factors, respectively, that explained epidemic progress. The objective of this study was to construct a model that predicted GSB severity on field-grown watermelon based on environmental factors. Disease and weather data from six fungicide experiments in Charleston, South Carolina, in spring and fall 1997 and fall 2017, 2018, 2019, and 2022 were used as inputs. Fungicide treatments were grouped into nonsprayed, protectant (chlorothalonil and mancozeb) and GSB-specific (cyprodinil, difenoconazole and fludioxonil) applications. Cumulative hours of leaf wetness was the primary explanatory variable that modeled the increase in proportion GSB severity ≥2% across all epidemics. Incorporation of temperature or other environmental variables did not improve the model. Fit of the overall model was evaluated with k-fold cross validation, where individual experiments were each excluded from the model fitting process. Slopes of predicted disease progress curves were lowered significantly compared to the nonsprayed treatments by applications of protectant fungicides. Applying GSB-specific fungicides alternated with chlorothalonil further reduced slope values. The model successfully predicted progress of GSB epidemics under different weather patterns and fungicide applications.

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使用和不使用杀真菌剂时西瓜茎枯病流行的进展。
胶状茎枯病(GSB)在美国东南部主要由Stagonosporopsis citrulli真菌引起,影响葫芦科植物,对西瓜的破坏性尤其严重。以前为温室黄瓜构建的 GSB 流行病学模型显示,叶片湿度和温度分别是解释流行病进展的主要和次要环境因素。本研究的目的是构建一个模型,根据环境因素预测大田种植西瓜的 GSB 严重程度。将 1997 年春季和秋季以及 2017 年、2018 年、2019 年和 2022 年秋季在南卡罗来纳州查尔斯顿进行的六次杀真菌剂试验的病害和天气数据作为输入。杀菌剂处理分为非喷洒型、保护型(百菌清和代森锰锌)和GSB专用型(腈菌唑、苯醚甲环唑和氟硅唑)。在所有流行病中,叶片湿润累积小时数是模拟 GSB 严重程度≥2% 的比例增加的主要解释变量。加入温度或其他环境变量并不能改善模型。整体模型的拟合度通过 k 倍交叉验证进行评估,其中每个实验都被排除在模型拟合过程之外。与未喷洒保护性杀真菌剂的处理相比,预测病害进展曲线的斜率明显降低。在施用百菌清的同时施用针对 GSB 的杀菌剂进一步降低了斜率值。该模型成功地预测了不同天气模式和杀菌剂应用情况下 GSB 的流行进展。
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来源期刊
Plant disease
Plant disease 农林科学-植物科学
CiteScore
5.10
自引率
13.30%
发文量
1993
审稿时长
2 months
期刊介绍: Plant Disease is the leading international journal for rapid reporting of research on new, emerging, and established plant diseases. The journal publishes papers that describe basic and applied research focusing on practical aspects of disease diagnosis, development, and management.
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