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Using risk models for control of leaf blotch diseases in barley minimises fungicide use – experiences from the Nordic and Baltic countries
Acta Agriculturae Scandinavica Section B, Soil and Plant Science ( IF 1.6 ) Pub Date : 2021-02-17 , DOI: 10.1080/09064710.2021.1884742
Lise Nistrup Jørgensen 1 , Niels Matzen 1 , Andrea Ficke 2 , Björn Andersson 3 , Marja Jalli 4 , Antanas Ronis 5 , Ghita C. Nielsen 6 , Patrik Erlund 7 , Annika Djurle 3
Affiliation  

ABSTRACT

The disease pressure from Pyrenophora teres, Rhynchosporium graminicola, and Ramularia collo–cygni varies widely between years and locations, which highlights the need for using risk models to avoid unnecessary use of fungicides. Three disease risk models were tested in thirty–three field trials during two seasons in five countries in order to validate and identify situations favourable for barley leaf blotch diseases in the Nordic–Baltic region. The tested models were: The Crop Protection Online (CPO), which uses number of days with precipitation (>1 mm), cultivar resistance and disease data as basis for risk assessments; the humidity model (HM) which signals a risk warning after 20 continuous hours with high humidity, and the Finnish net blotch model (WisuEnnuste), which calculates a risk based on previous crop, tillage method, cultivar resistance and weather parameters. The risk models mostly gave acceptable control of diseases and yield responses compared with untreated and reference treatments. In the dry season of 2018, the models recommended 88–96% fewer applications than the reference treatments, while in 2019, the number of applications was reduced by 0–76% compared to reference treatments. Based on yield increases, the recommendations were correct in 50–69% of the trials compared to one–treatment references and 69–80% of the trials when references used mainly two treatments.



中文翻译:

使用风险模型控制大麦叶片斑点病可最大程度减少杀真菌剂的使用-北欧和波罗的海国家的经验

摘要

从疾病压力圆核腔菌喙蛛柱隔孢属collo,天鹅座年份和位置之间的差异很大,这突出表明需要使用风险模型来避免不必要地使用杀真菌剂。在五个国家的两个季节中的三十三个场次试验中,对三个疾病风险模型进行了测试,以验证和确定有利于北欧-波罗的海地区大麦叶斑病的情况。测试的模型是:在线作物保护(CPO),使用降水天数(> 1 mm),品种抗性和疾病数据作为风险评估的基础;湿度模型(HM)在高湿度下连续20小时后发出危险警告信号,而芬兰净斑点模型(WisuEnnuste)根据以前的作物,耕作方法,品种抗性和天气参数计算风险。与未治疗和参考治疗相比,该风险模型大多能够较好地控制疾病并提高产量。在2018年的干旱季节,该模型建议的施用量比参考疗法少88–96%,而在2019年,与参考疗法相比,申请数量减少了0–76%。基于增产,与单一治疗参考相比,在50%至69%的试验中建议是正确的,而参考主要使用两种治疗时,建议在69%至80%的试验中是正确的。

更新日期:2021-02-17
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