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Clisagri: An R package for agro-climate services
Crop yields are affected by unfavourable/extreme weather and climate events occurring during sensitive growth stages. Understanding the risks associated with these events is essential to adapt agro-management decisions and reduce losses. For this purpose, we propose a targeted climate service integr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789046/ https://www.ncbi.nlm.nih.gov/pubmed/33458448 http://dx.doi.org/10.1016/j.cliser.2020.100197 |
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author | Ceglar, A. Toreti, A. Zampieri, M. Manstretta, V. Bettati, T. Bratu, M. |
author_facet | Ceglar, A. Toreti, A. Zampieri, M. Manstretta, V. Bettati, T. Bratu, M. |
author_sort | Ceglar, A. |
collection | PubMed |
description | Crop yields are affected by unfavourable/extreme weather and climate events occurring during sensitive growth stages. Understanding the risks associated with these events is essential to adapt agro-management decisions and reduce losses. For this purpose, we propose a targeted climate service integrating a dynamic crop phenology model with an approach based on dedicated agro-climate risk indicators. The initial set of these indicators has been developed in a co-design approach with agronomists and durum wheat farmers participating as end-users in the H2020-MedGOLD project. Four groups of indicators characterize drought events, excessive wetness, cold stress and heat stress during sensitive growth stages. The proposed approach has been fully implemented as an R-package named Clisagri. The package is complemented with a set of optimization functions, which target optimal variety selection in terms of crop cycle duration. |
format | Online Article Text |
id | pubmed-7789046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77890462021-01-14 Clisagri: An R package for agro-climate services Ceglar, A. Toreti, A. Zampieri, M. Manstretta, V. Bettati, T. Bratu, M. Clim Serv Article Crop yields are affected by unfavourable/extreme weather and climate events occurring during sensitive growth stages. Understanding the risks associated with these events is essential to adapt agro-management decisions and reduce losses. For this purpose, we propose a targeted climate service integrating a dynamic crop phenology model with an approach based on dedicated agro-climate risk indicators. The initial set of these indicators has been developed in a co-design approach with agronomists and durum wheat farmers participating as end-users in the H2020-MedGOLD project. Four groups of indicators characterize drought events, excessive wetness, cold stress and heat stress during sensitive growth stages. The proposed approach has been fully implemented as an R-package named Clisagri. The package is complemented with a set of optimization functions, which target optimal variety selection in terms of crop cycle duration. Elsevier 2020-12 /pmc/articles/PMC7789046/ /pubmed/33458448 http://dx.doi.org/10.1016/j.cliser.2020.100197 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ceglar, A. Toreti, A. Zampieri, M. Manstretta, V. Bettati, T. Bratu, M. Clisagri: An R package for agro-climate services |
title | Clisagri: An R package for agro-climate services |
title_full | Clisagri: An R package for agro-climate services |
title_fullStr | Clisagri: An R package for agro-climate services |
title_full_unstemmed | Clisagri: An R package for agro-climate services |
title_short | Clisagri: An R package for agro-climate services |
title_sort | clisagri: an r package for agro-climate services |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789046/ https://www.ncbi.nlm.nih.gov/pubmed/33458448 http://dx.doi.org/10.1016/j.cliser.2020.100197 |
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