Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk

The European Green Deal aims to reduce the use of chemical pesticides by half by 2030. Decision support systems are tools to help farmers schedule fungicide spraying based on disease risk and can reduce fungicide application frequency and overall use. However, the potential benefit of decision suppo...

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Autores principales: Lázaro, Elena, Makowski, David, Vicent, Antonio
Formato: Artículo
Lenguaje:Inglés
Publicado: Springer Nature 2021
Materias:
Acceso en línea:http://hdl.handle.net/20.500.11939/7690
https://www.nature.com/articles/s43247-021-00291-8#citeas
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author Lázaro, Elena
Makowski, David
Vicent, Antonio
author_browse Lázaro, Elena
Makowski, David
Vicent, Antonio
author_facet Lázaro, Elena
Makowski, David
Vicent, Antonio
author_sort Lázaro, Elena
collection ReDivia
description The European Green Deal aims to reduce the use of chemical pesticides by half by 2030. Decision support systems are tools to help farmers schedule fungicide spraying based on disease risk and can reduce fungicide application frequency and overall use. However, the potential benefit of decision support systems compared to traditional calendar-based strategies has not yet been rigorously quantified. Here we synthesise 80 experiments and show that globally decision support systems can reduce fungicide treatments by at least 50% without compromising disease control. For a given fixed number of fungicide sprays, decision support systems were as effective as calendar-based programs in reducing disease incidence. When the number of sprays was halved, the increase in disease incidence was lower for decision support system-based strategies than calendar-based strategies. Our findings suggest that decision support systems can reduce fungicide use while limiting the risk to plant health and resistance development.
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spelling ReDivia76902025-04-25T14:48:29Z Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk Lázaro, Elena Makowski, David Vicent, Antonio Environmental studies H20 Plant diseases N20 Agricultural machinery and equipment T01 Pollution U10 Mathematical and statistical methods Agriculture Environmental impact Plant sciences Sustainability decision support systems Fungicides The European Green Deal aims to reduce the use of chemical pesticides by half by 2030. Decision support systems are tools to help farmers schedule fungicide spraying based on disease risk and can reduce fungicide application frequency and overall use. However, the potential benefit of decision support systems compared to traditional calendar-based strategies has not yet been rigorously quantified. Here we synthesise 80 experiments and show that globally decision support systems can reduce fungicide treatments by at least 50% without compromising disease control. For a given fixed number of fungicide sprays, decision support systems were as effective as calendar-based programs in reducing disease incidence. When the number of sprays was halved, the increase in disease incidence was lower for decision support system-based strategies than calendar-based strategies. Our findings suggest that decision support systems can reduce fungicide use while limiting the risk to plant health and resistance development. 2021-10-26T11:01:02Z 2021-10-26T11:01:02Z 2021 article publishedVersion Lázaro, E., Makowski, D. & Vicent, A. (2021). Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk. Commun Earth Environ 2, 224. 2662-4435 (online) http://hdl.handle.net/20.500.11939/7690 10.1038/s43247-021-00291-8 https://www.nature.com/articles/s43247-021-00291-8#citeas en info:eu-repo/grantAgreement/MINECO/Programa estatal de i+D+i Orientada a los Retos de la Sociedad/RTA2013-00004-C03-02//Control integrado de enfermedades fúngicas en frutales mediterráneos: detección masiva temprana, modelos epidemiológicos y optimización de las aplicaciones fungicidas info:eu-repo/grantAgreement/MINECO/Programa estatal de i+D+i Orientada a los Retos de la Sociedad/RTA2017-00009-C04-02//Modelización de componentes epidemiológicas de las principales enfermedades fúngicas que afectan a la parte aérea del almendro This research was partially funded by grants RTA2013-00004-C03-02 and RTA2017- 00009-C04-02 FEDER INIA AEI Ministry of Science and Innovation, Spain, by the French CLAND Institute of Convergence (16-CONV-0003) and by French Network for Data Analysis in Agriculture (RMT SDMAA). Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess Springer Nature electronico
spellingShingle Environmental studies
H20 Plant diseases
N20 Agricultural machinery and equipment
T01 Pollution
U10 Mathematical and statistical methods
Agriculture
Environmental impact
Plant sciences
Sustainability
decision support systems
Fungicides
Lázaro, Elena
Makowski, David
Vicent, Antonio
Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk
title Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk
title_full Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk
title_fullStr Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk
title_full_unstemmed Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk
title_short Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk
title_sort decision support systems halve fungicide use compared to calendar based strategies without increasing disease risk
topic Environmental studies
H20 Plant diseases
N20 Agricultural machinery and equipment
T01 Pollution
U10 Mathematical and statistical methods
Agriculture
Environmental impact
Plant sciences
Sustainability
decision support systems
Fungicides
url http://hdl.handle.net/20.500.11939/7690
https://www.nature.com/articles/s43247-021-00291-8#citeas
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