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Coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards
Agronomic practices can alter plant susceptibility to diseases and represent a promising alternative to the use of pesticides. Yet, they also alter crop quality and quantity so that the evaluation of their efficacy is not straightforward. Here we couple a compartmental epidemiological model for brow...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560096/ https://www.ncbi.nlm.nih.gov/pubmed/31186487 http://dx.doi.org/10.1038/s41598-019-44898-6 |
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author | Bevacqua, Daniele Génard, Michel Lescourret, Françoise Martinetti, Davide Vercambre, Gilles Valsesia, Pierre Mirás-Avalos, Josè Manuel |
author_facet | Bevacqua, Daniele Génard, Michel Lescourret, Françoise Martinetti, Davide Vercambre, Gilles Valsesia, Pierre Mirás-Avalos, Josè Manuel |
author_sort | Bevacqua, Daniele |
collection | PubMed |
description | Agronomic practices can alter plant susceptibility to diseases and represent a promising alternative to the use of pesticides. Yet, they also alter crop quality and quantity so that the evaluation of their efficacy is not straightforward. Here we couple a compartmental epidemiological model for brown rot diffusion in fruit orchards with a fruit-tree growth model explicitly considering the role of agronomic practices over fruit quality. The new modelling framework permits us to evaluate, in terms of quantity and quality of the fruit production, management scenarios characterized by different levels of regulated deficit irrigation and crop load. Our results suggest that a moderate water stress in the final weeks of fruit development and a moderate fruit load provide effective control on the brown rot spreading, and eventually guarantee monetary returns similar to those that would be obtained in the absence of the disease. |
format | Online Article Text |
id | pubmed-6560096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65600962019-06-19 Coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards Bevacqua, Daniele Génard, Michel Lescourret, Françoise Martinetti, Davide Vercambre, Gilles Valsesia, Pierre Mirás-Avalos, Josè Manuel Sci Rep Article Agronomic practices can alter plant susceptibility to diseases and represent a promising alternative to the use of pesticides. Yet, they also alter crop quality and quantity so that the evaluation of their efficacy is not straightforward. Here we couple a compartmental epidemiological model for brown rot diffusion in fruit orchards with a fruit-tree growth model explicitly considering the role of agronomic practices over fruit quality. The new modelling framework permits us to evaluate, in terms of quantity and quality of the fruit production, management scenarios characterized by different levels of regulated deficit irrigation and crop load. Our results suggest that a moderate water stress in the final weeks of fruit development and a moderate fruit load provide effective control on the brown rot spreading, and eventually guarantee monetary returns similar to those that would be obtained in the absence of the disease. Nature Publishing Group UK 2019-06-11 /pmc/articles/PMC6560096/ /pubmed/31186487 http://dx.doi.org/10.1038/s41598-019-44898-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bevacqua, Daniele Génard, Michel Lescourret, Françoise Martinetti, Davide Vercambre, Gilles Valsesia, Pierre Mirás-Avalos, Josè Manuel Coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards |
title | Coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards |
title_full | Coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards |
title_fullStr | Coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards |
title_full_unstemmed | Coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards |
title_short | Coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards |
title_sort | coupling epidemiological and tree growth models to control fungal diseases spread in fruit orchards |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560096/ https://www.ncbi.nlm.nih.gov/pubmed/31186487 http://dx.doi.org/10.1038/s41598-019-44898-6 |
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