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蓝莓炭疽病决策支持系统及分离株杀菌剂敏感性的验证

Validation of a Decision Support System for Blueberry Anthracnose and Fungicide Sensitivity of Isolates.

作者信息

Gama Andre B, Cordova Leandro G, Rebello Carolina S, Peres Natalia A

机构信息

University of Florida, Gulf Coast Research and Education Center, Wimauma, FL 33598.

Corteva Agriscience, Application Technology, Indianapolis, IN 46268.

出版信息

Plant Dis. 2021 Jun;105(6):1806-1813. doi: 10.1094/PDIS-09-20-1961-RE. Epub 2021 Apr 26.

Abstract

Blueberry is an increasingly important crop in Florida. Anthracnose fruit rot (AFR), caused mostly by , is favored by long wetness periods and temperatures from 15 to 27°C. Currently, the model in the Strawberry Advisory System (StAS) guides fungicide applications targeting strawberry AFR. Given the similarity between blueberry and strawberry AFR, we hypothesized that the model used in StAS could be used in a decision support system (DSS) built for blueberry AFR. There is no information on inhibition posed by fungicides on isolates from blueberry. Our objectives were to demonstrate that the model used in the StAS could be used for blueberry AFR management in Florida and to assess the sensitivity of isolates to fungicides. Four trials were undertaken in blueberry fields in Florida during two seasons to compare the effectiveness of fungicide applications according to the model with that of the growers' standard calendar. Sensitivity of blueberry isolates to azoxystrobin, benzovindiflupyr, penthiopyrad, pydiflumetofen, boscalid, thiophanate-methyl, fluazinam, and fludioxonil was evaluated. AFR incidence and yield were compared between treatments. Following recommendations from the model resulted in disease control as effective as the standard program and in some cases with fewer applications. All isolates were sensitive to benzovindiflupyr, penthiopyrad, fluazinam, and fludioxonil. Low frequency of in vitro inhibition of isolates by azoxystrobin, pydiflumetofen, boscalid, and thiophanate-methyl should raise concern about fungicide resistance. Our results indicate that the model used in StAS could be used in a DSS to help Florida growers to manage AFR in blueberry.

摘要

蓝莓在佛罗里达州正成为一种日益重要的作物。炭疽病果实腐烂(AFR)主要由[病原体名称缺失]引起,长时间潮湿以及15至27°C的温度有利于该病发生。目前,草莓咨询系统(StAS)中的模型指导针对草莓AFR的杀菌剂施用。鉴于蓝莓和草莓AFR之间的相似性,我们推测StAS中使用的模型可用于为蓝莓AFR构建的决策支持系统(DSS)。目前尚无关于杀菌剂对蓝莓分离株抑制作用的信息。我们的目标是证明StAS中使用的模型可用于佛罗里达州蓝莓AFR的管理,并评估分离株对杀菌剂的敏感性。在两个季节期间,于佛罗里达州的蓝莓田中进行了四项试验,以比较根据该模型施用杀菌剂与种植者标准用药日程的效果。评估了蓝莓分离株对嘧菌酯、苯并烯氟菌唑、戊唑醇、氟唑菌酰胺、啶酰菌胺、甲基硫菌灵、氟啶胺和咯菌腈的敏感性。比较了各处理之间的AFR发病率和产量。遵循该模型的建议可实现与标准方案一样有效的病害防治,且在某些情况下用药次数更少。所有分离株对苯并烯氟菌唑、戊唑醇、氟啶胺和咯菌腈敏感。嘧菌酯、氟唑菌酰胺、啶酰菌胺和甲基硫菌灵对分离株的体外抑制频率较低,这应引起对杀菌剂抗性的关注。我们的结果表明,StAS中使用的模型可用于决策支持系统,以帮助佛罗里达州的种植者管理蓝莓中的AFR。

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