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利用计算机模拟和田间验证对用于马铃薯晚疫病管理的BlightPro决策支持系统进行评估。

Evaluation of the BlightPro Decision Support System for Management of Potato Late Blight Using Computer Simulation and Field Validation.

作者信息

Small Ian M, Joseph Laura, Fry William E

机构信息

Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Ithaca, NY 14850.

出版信息

Phytopathology. 2015 Dec;105(12):1545-54. doi: 10.1094/PHYTO-05-15-0117-R. Epub 2015 Nov 25.

DOI:10.1094/PHYTO-05-15-0117-R
PMID:26312965
Abstract

The objective of this study was to evaluate the utility of the BlightPro decision support system (DSS) for late blight management using computer simulation and field tests. Three fungicide schedules were evaluated: (i) calendar-based (weekly) applications, (ii) applications according to the DSS, or (iii) no fungicide. Simulation experiments utilized 14 years of weather data from 59 locations in potato-producing states. In situations with unfavorable weather for late blight, the DSS recommended fewer fungicide applications with no loss of disease suppression; and, in situations of very favorable weather for late blight, the DSS recommended more fungicide applications but with improved disease suppression. Field evaluation was conducted in 2010, 2011, 2012, and 2013. All experiments involved at least two cultivars with different levels of resistance. DSS-guided and weekly scheduled fungicide treatments were successful at protecting against late blight in all field experiments. As expected, DSS-guided schedules were influenced by prevailing weather (observed and forecast) and host resistance and resulted in schedules that maintained or improved disease suppression and average fungicide use efficiency relative to calendar-based applications. The DSS provides an interactive system that helps users maximize the efficiency of their crop protection strategy by enabling well-informed decisions.

摘要

本研究的目的是通过计算机模拟和田间试验评估BlightPro决策支持系统(DSS)在晚疫病管理中的效用。评估了三种杀菌剂施用方案:(i)基于日历(每周)的施用,(ii)根据DSS的施用,或(iii)不施用杀菌剂。模拟实验利用了来自马铃薯种植州59个地点的14年气象数据。在晚疫病天气不利的情况下,DSS建议减少杀菌剂施用次数,且不损失病害防治效果;而在晚疫病天气非常有利的情况下,DSS建议增加杀菌剂施用次数,但病害防治效果有所改善。于2010年、2011年、2012年和2013年进行了田间评估。所有实验都涉及至少两个抗性水平不同的品种。在所有田间实验中,DSS指导和每周定期的杀菌剂处理都成功地预防了晚疫病。正如预期的那样,DSS指导的方案受到当时天气(观测和预报)以及寄主抗性的影响,相对于基于日历的施用,其方案能维持或提高病害防治效果和平均杀菌剂使用效率。DSS提供了一个交互式系统,通过使决策明智,帮助用户最大限度地提高其作物保护策略的效率。

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引用本文的文献

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Sensors (Basel). 2024 Dec 9;24(23):7864. doi: 10.3390/s24237864.
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BLIGHTSIM: A New Potato Late Blight Model Simulating the Response of to Diurnal Temperature and Humidity Fluctuations in Relation to Climate Change.BLIGHTSIM:一种新型马铃薯晚疫病模型,用于模拟气候变化下马铃薯对昼夜温度和湿度波动的响应
Pathogens. 2020 Aug 15;9(8):659. doi: 10.3390/pathogens9080659.