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评估以色列当地和进口的火疫病预警系统。

Evaluation of local and imported fire blight warning systems in Israel.

出版信息

Phytopathology. 2003 Mar;93(3):356-63. doi: 10.1094/PHYTO.2003.93.3.356.

Abstract

ABSTRACT The possibility of using local and imported warning systems for the management of fire blight (caused by the bacterium Erwinia amylovora) in pears was tested in Israel from 1997 to 2000. Three imported systems (MARYBLYT 4.3, BIS95, and Cougarblight 98C) and one local system (Fire Blight Control Advisory [FBCA]) were used. All systems were tested in simulation experiments; MARYBLYT 4.3 and FBCA were also tested in orchard experiments under natural infections. Simulation experiments included 193 orchard-plots in which the time of disease onset enabled us to determine the date of infection. Thirty-five experiments were conducted in commercial orchards; in 10 of these, fire blight developed naturally. The performance of the imported warning systems was too variable to be accurately used under Israeli conditions. In the simulation experiments, the success rate (i.e., the capacity of the systems to predict the exact date of the occurrence of infection episodes) of the imported systems was low (3 to 55%) with considerably large variability among years (CV = 30 to 67%). Similar results were obtained in the orchard experiments for MARYBLYT 4.3: in only two of five experiments where plots were managed according to that system was disease severity significantly lower than that recorded in untreated control plots. In comparison, the local system, FBCA, predicted most infection episodes in the simulation experiments with low variability (99%, CV = 1.0%). In the orchard experiments, adequate disease suppression was achieved in all eight experiments in which FBCA recommendations were followed. We concluded that it was not possible to import and successfully implement fire blight warning systems in Israel that have been developed in regions with dissimilar environmental conditions.

摘要

摘要 本研究于 1997 年至 2000 年在以色列测试了使用本地和进口预警系统来管理梨火疫病(由细菌 Erwinia amylovora 引起)的可能性。测试了三个进口系统(MARYBLYT 4.3、BIS95 和 Cougarblight 98C)和一个本地系统(Fire Blight Control Advisory [FBCA])。所有系统均在模拟实验中进行了测试;MARYBLYT 4.3 和 FBCA 也在自然感染下的果园实验中进行了测试。模拟实验包括 193 个果园地块,通过这些实验我们可以确定发病时间,从而确定感染日期。在 35 个商业果园实验中,有 10 个果园发生了自然感染。由于进口预警系统的性能变化太大,因此无法在以色列的条件下准确使用。在模拟实验中,进口系统的成功率(即系统预测感染事件发生的确切日期的能力)较低(3%至 55%),且各年之间的差异较大(CV = 30%至 67%)。在 MARYBLYT 4.3 的果园实验中也得到了类似的结果:在根据该系统管理的五个实验中,仅有两个实验的病情严重程度显著低于未处理对照地块的记录。相比之下,本地系统 FBCA 在模拟实验中预测了大多数感染事件,且变异性较低(99%,CV = 1.0%)。在果园实验中,在遵循 FBCA 建议的 8 个实验中,均实现了充分的疾病抑制。因此,我们得出结论,在以色列无法成功导入和实施在环境条件不同的地区开发的火疫病预警系统。

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