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Coffee tree architecture and its interactions with microclimates drive the dynamics of coffee berry disease in coffee trees
Coffee berry disease (CBD), which is widespread in Africa, has been responsible for massive yield losses of Coffea arabica. In Cameroon, C. arabica is mainly planted in agroforestry systems on smallholder farms, where low incomes hinder the use of chemicals to manage the disease. Novel agroecologica...
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/PMC6385237/ https://www.ncbi.nlm.nih.gov/pubmed/30796275 http://dx.doi.org/10.1038/s41598-019-38775-5 |
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author | Motisi, Natacha Ribeyre, Fabienne Poggi, Sylvain |
author_facet | Motisi, Natacha Ribeyre, Fabienne Poggi, Sylvain |
author_sort | Motisi, Natacha |
collection | PubMed |
description | Coffee berry disease (CBD), which is widespread in Africa, has been responsible for massive yield losses of Coffea arabica. In Cameroon, C. arabica is mainly planted in agroforestry systems on smallholder farms, where low incomes hinder the use of chemicals to manage the disease. Novel agroecological strategies for controlling CBD are expected to be implemented and even increase in the current context of global changes. In this study, we showed that coffee tree architecture and its interactions with microclimates were important to CBD cluster symptom appearance (CSA), with notable CSA increasing along the tree branch away from the trunk to the tip of the branch. As shade trees can modify microclimates, we further investigated scenarios of various microclimatic conditions under shade to explore the effects of agroforestry systems on CBD dynamics in coffee trees. We showed that shade could result in contrasting effects on disease dynamics, decreasing CSA along the branch and increasing epidemic duration. We suggest that the contrasting effects of shade on disease dynamics need further evaluation of the possible trade-offs among the variables at play, and we recommend a combination of epidemiological and architectural modelling to help design more cost-effective and environmentally friendly CBD management strategies. |
format | Online Article Text |
id | pubmed-6385237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63852372019-02-26 Coffee tree architecture and its interactions with microclimates drive the dynamics of coffee berry disease in coffee trees Motisi, Natacha Ribeyre, Fabienne Poggi, Sylvain Sci Rep Article Coffee berry disease (CBD), which is widespread in Africa, has been responsible for massive yield losses of Coffea arabica. In Cameroon, C. arabica is mainly planted in agroforestry systems on smallholder farms, where low incomes hinder the use of chemicals to manage the disease. Novel agroecological strategies for controlling CBD are expected to be implemented and even increase in the current context of global changes. In this study, we showed that coffee tree architecture and its interactions with microclimates were important to CBD cluster symptom appearance (CSA), with notable CSA increasing along the tree branch away from the trunk to the tip of the branch. As shade trees can modify microclimates, we further investigated scenarios of various microclimatic conditions under shade to explore the effects of agroforestry systems on CBD dynamics in coffee trees. We showed that shade could result in contrasting effects on disease dynamics, decreasing CSA along the branch and increasing epidemic duration. We suggest that the contrasting effects of shade on disease dynamics need further evaluation of the possible trade-offs among the variables at play, and we recommend a combination of epidemiological and architectural modelling to help design more cost-effective and environmentally friendly CBD management strategies. Nature Publishing Group UK 2019-02-22 /pmc/articles/PMC6385237/ /pubmed/30796275 http://dx.doi.org/10.1038/s41598-019-38775-5 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 Motisi, Natacha Ribeyre, Fabienne Poggi, Sylvain Coffee tree architecture and its interactions with microclimates drive the dynamics of coffee berry disease in coffee trees |
title | Coffee tree architecture and its interactions with microclimates drive the dynamics of coffee berry disease in coffee trees |
title_full | Coffee tree architecture and its interactions with microclimates drive the dynamics of coffee berry disease in coffee trees |
title_fullStr | Coffee tree architecture and its interactions with microclimates drive the dynamics of coffee berry disease in coffee trees |
title_full_unstemmed | Coffee tree architecture and its interactions with microclimates drive the dynamics of coffee berry disease in coffee trees |
title_short | Coffee tree architecture and its interactions with microclimates drive the dynamics of coffee berry disease in coffee trees |
title_sort | coffee tree architecture and its interactions with microclimates drive the dynamics of coffee berry disease in coffee trees |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385237/ https://www.ncbi.nlm.nih.gov/pubmed/30796275 http://dx.doi.org/10.1038/s41598-019-38775-5 |
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