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按需靶向施药杀菌剂。

Targeting Fungicide Inputs According to Need.

机构信息

Department of Agroecology, Aarhus University, DK-4200, Slagelse, Denmark; email:

Rothamsted Research, Harpenden, AL5 2JQ, United Kingdom.

出版信息

Annu Rev Phytopathol. 2017 Aug 4;55:181-203. doi: 10.1146/annurev-phyto-080516-035357. Epub 2017 May 19.

Abstract

Fungicides should be used to the extent required to minimize economic costs of disease in a given field in a given season. The maximum number of treatments and maximum dose per treatment are set by fungicide manufacturers and regulators at a level that provides effective control under high disease pressure. Lower doses are economically optimal under low or moderate disease pressure, or where other control measures such as resistant cultivars constrain epidemics. Farmers in many countries often apply reduced doses, although they may still apply higher doses than the optimum to insure against losses in high disease seasons. Evidence supports reducing the number of treatments and reducing the applied dose to slow the evolution of fungicide resistance. The continuing research challenge is to improve prediction of future disease damage and account for the combined effect of integrated control measures to estimate the optimum number of treatments and the optimum dose needed to minimize economic costs. The theory for optimizing dose is well developed but requires translation into decision tools because the current basis for farmers' dose decisions is unclear.

摘要

杀菌剂的使用应在一定程度上,以尽量减少特定季节特定田块的病害造成的经济损失。最大施药次数和每次施药的最大剂量由杀菌剂制造商和监管机构设定,其水平可在高病害压力下提供有效控制。在低或中度病害压力下,或在其他控制措施(如抗性品种)限制病害流行时,较低剂量在经济上是最优的。许多国家的农民经常减少施药剂量,但他们可能仍然会施用高于最佳剂量的药剂,以防止在高病害季节出现损失。有证据表明,减少施药次数和降低施药剂量可以减缓杀菌剂抗药性的进化。持续的研究挑战是改善对未来病害损失的预测,并考虑综合控制措施的综合影响,以估计最小化经济成本所需的最佳施药次数和最佳剂量。优化剂量的理论已经很完善,但需要转化为决策工具,因为目前农民施药剂量决策的依据尚不清楚。

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