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A harmonised dataset for modelling select underutilised crops Across EU
Whilst simulating crop performance in different environments can help fill the knowledge gap and improve the adoption of crops that are currently neglected and underutilised in conventional agrifood systems, lack of experimental data remains a barrier to widespread modelling of these crops. To date,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616134/ https://www.ncbi.nlm.nih.gov/pubmed/37915832 http://dx.doi.org/10.1016/j.dib.2023.109679 |
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author | Wimalasiri, Eranga M. Jahanshiri, Ebrahim Perego, Alessia Botta, Marco Azam-Ali, Sayed N. |
author_facet | Wimalasiri, Eranga M. Jahanshiri, Ebrahim Perego, Alessia Botta, Marco Azam-Ali, Sayed N. |
author_sort | Wimalasiri, Eranga M. |
collection | PubMed |
description | Whilst simulating crop performance in different environments can help fill the knowledge gap and improve the adoption of crops that are currently neglected and underutilised in conventional agrifood systems, lack of experimental data remains a barrier to widespread modelling of these crops. To date, no attempt has been made to collate sub-species crop data that are specifically suited for modelling underutilised crops. This article describes the first attempt to develop a database for crop modelling data with a focus on European underutilised crops. Following a pilot study to identify crops with the potential across the EU, a structured dataset of detailed experimental data was developed by analysing more than 500 agronomic studies that were published across European agroclimatic zones from 1972 to 2022. The dataset contains minimum information for calibrating basic crop models for any location in the EU provided that enough experimental and environmental data are available. More specifically, the database includes crop phenology, yield, management practices, geographic and pedo-climatic details of select underutilised and neglected species. The information underwent a curation procedure to ensure its quality. The collated database will be used in CropBASE, the global knowledge base for underutilised crops. |
format | Online Article Text |
id | pubmed-10616134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106161342023-11-01 A harmonised dataset for modelling select underutilised crops Across EU Wimalasiri, Eranga M. Jahanshiri, Ebrahim Perego, Alessia Botta, Marco Azam-Ali, Sayed N. Data Brief Data Article Whilst simulating crop performance in different environments can help fill the knowledge gap and improve the adoption of crops that are currently neglected and underutilised in conventional agrifood systems, lack of experimental data remains a barrier to widespread modelling of these crops. To date, no attempt has been made to collate sub-species crop data that are specifically suited for modelling underutilised crops. This article describes the first attempt to develop a database for crop modelling data with a focus on European underutilised crops. Following a pilot study to identify crops with the potential across the EU, a structured dataset of detailed experimental data was developed by analysing more than 500 agronomic studies that were published across European agroclimatic zones from 1972 to 2022. The dataset contains minimum information for calibrating basic crop models for any location in the EU provided that enough experimental and environmental data are available. More specifically, the database includes crop phenology, yield, management practices, geographic and pedo-climatic details of select underutilised and neglected species. The information underwent a curation procedure to ensure its quality. The collated database will be used in CropBASE, the global knowledge base for underutilised crops. Elsevier 2023-10-13 /pmc/articles/PMC10616134/ /pubmed/37915832 http://dx.doi.org/10.1016/j.dib.2023.109679 Text en © 2023 The Authors. Published by Elsevier Inc. https://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 | Data Article Wimalasiri, Eranga M. Jahanshiri, Ebrahim Perego, Alessia Botta, Marco Azam-Ali, Sayed N. A harmonised dataset for modelling select underutilised crops Across EU |
title | A harmonised dataset for modelling select underutilised crops Across EU |
title_full | A harmonised dataset for modelling select underutilised crops Across EU |
title_fullStr | A harmonised dataset for modelling select underutilised crops Across EU |
title_full_unstemmed | A harmonised dataset for modelling select underutilised crops Across EU |
title_short | A harmonised dataset for modelling select underutilised crops Across EU |
title_sort | harmonised dataset for modelling select underutilised crops across eu |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616134/ https://www.ncbi.nlm.nih.gov/pubmed/37915832 http://dx.doi.org/10.1016/j.dib.2023.109679 |
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