Crop models and their use in assessing crop production and food security: A review

Abstract Agriculture is directly related to food security as it determines the global food supply. Research in agriculture to predict crop productivity and losses helps avoid high food demand with little supply and price spikes. Here, we review ten crop models and one intercomparison project used fo...

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Main Authors: Yohanne Larissa Gavasso‐Rita, Simon Michael Papalexiou, Yanping Li, Amin Elshorbagy, Zhenhua Li, Corinne Schuster‐Wallace
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Food and Energy Security
Subjects:
Online Access:https://doi.org/10.1002/fes3.503
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author Yohanne Larissa Gavasso‐Rita
Simon Michael Papalexiou
Yanping Li
Amin Elshorbagy
Zhenhua Li
Corinne Schuster‐Wallace
author_facet Yohanne Larissa Gavasso‐Rita
Simon Michael Papalexiou
Yanping Li
Amin Elshorbagy
Zhenhua Li
Corinne Schuster‐Wallace
author_sort Yohanne Larissa Gavasso‐Rita
collection DOAJ
description Abstract Agriculture is directly related to food security as it determines the global food supply. Research in agriculture to predict crop productivity and losses helps avoid high food demand with little supply and price spikes. Here, we review ten crop models and one intercomparison project used for simulating crop growth and productivity under various impacts from soil–crop–atmosphere interactions. The review outlines food security and production assessments using numerical models for maize, wheat, and rice production. A summary of reviewed studies shows the following: (1) model ensembles provide smaller modeling errors compared to single models, (2) single models show better results when coupled with other types of models, (3) the ten reviewed crop models had improvements over the years and can accurately predict crop growth and yield for most of the locations, management conditions, and genotypes tested, (4) APSIM and DSSAT are fast and reliable in assessing broader output variables, (5) AquaCrop is indicated to investigate water footprint, quality and use efficiency in rainfed and irrigated systems, (6) all models assess nitrogen dynamics and use efficiency efficiently, excluding AquaCrop and WOFOST, (7) JULES specifies in evaluating food security vulnerability, (8) ORYZA is the main crop model used to evaluate paddy rice production, (9) grain filling is usually assessed with APSIM, DAISY, and DSSAT, and (10) the ten crop models can be used as tools to evaluate food production, availability, and security.
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spelling doaj.art-6fca6e526e1e4fc09f4795c8924533aa2024-02-27T06:19:25ZengWileyFood and Energy Security2048-36942024-01-01131n/an/a10.1002/fes3.503Crop models and their use in assessing crop production and food security: A reviewYohanne Larissa Gavasso‐Rita0Simon Michael Papalexiou1Yanping Li2Amin Elshorbagy3Zhenhua Li4Corinne Schuster‐Wallace5Department of Civil, Geological and Environmental Engineering University of Saskatchewan Saskatoon CanadaDepartment of Civil, Geological and Environmental Engineering University of Saskatchewan Saskatoon CanadaGlobal Institute for Water Security University of Saskatchewan Saskatoon CanadaDepartment of Civil, Geological and Environmental Engineering University of Saskatchewan Saskatoon CanadaGlobal Institute for Water Security University of Saskatchewan Saskatoon CanadaGlobal Institute for Water Security University of Saskatchewan Saskatoon CanadaAbstract Agriculture is directly related to food security as it determines the global food supply. Research in agriculture to predict crop productivity and losses helps avoid high food demand with little supply and price spikes. Here, we review ten crop models and one intercomparison project used for simulating crop growth and productivity under various impacts from soil–crop–atmosphere interactions. The review outlines food security and production assessments using numerical models for maize, wheat, and rice production. A summary of reviewed studies shows the following: (1) model ensembles provide smaller modeling errors compared to single models, (2) single models show better results when coupled with other types of models, (3) the ten reviewed crop models had improvements over the years and can accurately predict crop growth and yield for most of the locations, management conditions, and genotypes tested, (4) APSIM and DSSAT are fast and reliable in assessing broader output variables, (5) AquaCrop is indicated to investigate water footprint, quality and use efficiency in rainfed and irrigated systems, (6) all models assess nitrogen dynamics and use efficiency efficiently, excluding AquaCrop and WOFOST, (7) JULES specifies in evaluating food security vulnerability, (8) ORYZA is the main crop model used to evaluate paddy rice production, (9) grain filling is usually assessed with APSIM, DAISY, and DSSAT, and (10) the ten crop models can be used as tools to evaluate food production, availability, and security.https://doi.org/10.1002/fes3.503climate changecrop modelingfood availabilityfood insecurity
spellingShingle Yohanne Larissa Gavasso‐Rita
Simon Michael Papalexiou
Yanping Li
Amin Elshorbagy
Zhenhua Li
Corinne Schuster‐Wallace
Crop models and their use in assessing crop production and food security: A review
Food and Energy Security
climate change
crop modeling
food availability
food insecurity
title Crop models and their use in assessing crop production and food security: A review
title_full Crop models and their use in assessing crop production and food security: A review
title_fullStr Crop models and their use in assessing crop production and food security: A review
title_full_unstemmed Crop models and their use in assessing crop production and food security: A review
title_short Crop models and their use in assessing crop production and food security: A review
title_sort crop models and their use in assessing crop production and food security a review
topic climate change
crop modeling
food availability
food insecurity
url https://doi.org/10.1002/fes3.503
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