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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,...

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Autores principales: Wimalasiri, Eranga M., Jahanshiri, Ebrahim, Perego, Alessia, Botta, Marco, Azam-Ali, Sayed N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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