A harmonised dataset for modelling select underutilised crops Across EU.

Crop diversification Crop modelling Neglected and underutilised crops Sustainable agriculture

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 08 08 2023
revised: 04 10 2023
accepted: 10 10 2023
medline: 2 11 2023
pubmed: 2 11 2023
entrez: 2 11 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37915832
doi: 10.1016/j.dib.2023.109679
pii: S2352-3409(23)00764-3
pmc: PMC10616134
doi:

Types de publication

Journal Article

Langues

eng

Pagination

109679

Informations de copyright

© 2023 The Authors. Published by Elsevier Inc.

Références

Data Brief. 2021 Jan 21;35:106781
pubmed: 33553528
MethodsX. 2021 Jun 19;8:101420
pubmed: 34430315

Auteurs

Eranga M Wimalasiri (EM)

Crops for the Future UK, National Institute of Agricultural Botany, 93 Lawrence Weaver Road, Cambridge CB3 0LG, UK.
Department of Export Agriculture, Faculty of Agricultural Sciences, Sabaragamuwa University of Sri Lanka, Belihuloya 70140, Sri Lanka.

Ebrahim Jahanshiri (E)

Crops for the Future UK, National Institute of Agricultural Botany, 93 Lawrence Weaver Road, Cambridge CB3 0LG, UK.

Alessia Perego (A)

Department of Agricultural and Environmental Sciences-Production, Landscape, Agroenergy, University of Milan, Via G. Celoria 2, 20133 Milan, Italy.

Marco Botta (M)

Department of Agricultural and Environmental Sciences-Production, Landscape, Agroenergy, University of Milan, Via G. Celoria 2, 20133 Milan, Italy.

Sayed N Azam-Ali (SN)

Crops for the Future UK, National Institute of Agricultural Botany, 93 Lawrence Weaver Road, Cambridge CB3 0LG, UK.

Classifications MeSH