茎炎疫情在西瓜上的进展 有或没有杀菌剂输入
Anthony P Keinath1, Daniel J Anco2
1Coastal Research and Education Center, Department of Plant and Environmental Sciences, Clemson University, Charleston, SC 29414, U.S.A.
Plant disease
|September 1, 2024
概括
在西瓜上,茎病 (GSB) 的严重程度最好通过累积的叶子湿度小时来预测. 这一发现有助于预测疾病的进展,并优化杀菌剂的作物保护应用.
科学领域:
- 植物病理学 植物病理学
- 农业气象 农业气象学
- 真菌病流行病学 在真菌病流行病学.
背景情况:
- 由*Stagonosporopsis citrulli*引起的茎炎 (GSB) 是一种破坏性疾病,影响菜,特别是西瓜.
- 之前的模型确定了叶子的湿度和温度是温室黄瓜中GSB的关键因素.
研究的目的:
- 根据环境因素,开发基于野外种植的西瓜中GSB严重性的预测模型.
- 评估不同真菌杀菌剂应用对GSB流行病进展的影响.
主要方法:
- 利用了来自南卡罗来纳州查尔斯顿六个真菌杀菌剂实验的疾病和天气数据,跨越多年 (1997-2022).
- 用累积叶子湿度小时作为主要解释变量来模拟GSB严重程度的增加.
- 通过k倍交叉验证评估模型匹配,并分析了杀菌剂治疗对疾病进展曲线的影响.
主要成果:
- 在所有流行病中,累计数小时的叶子湿度是预测GSB严重程度 (≥2%) 的最重要因素.
- 温度和其他环境变量并没有改善预测模型.
- 与非喷治疗相比,保护剂和GSB特异性杀菌剂显著降低了疾病进展的速度.
结论:
- 一个基于叶子湿度的预测模型有效地预测了在田间种植的西瓜中GSB流行病的进展.
- 杀菌剂的应用,特别是保护性和交替的GSB特异性治疗,可以显著减轻疾病的传播.
- 该模型为在不同的环境条件和杀菌剂制度下管理GSB提供了有价值的工具.
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