Article (Scientific journals)
Relevance of soil fertility spatial databases for parameterizing APSIM-wheat crop model in Moroccan rainfed areas
Mamassi, Achraf; Marrou, Hélène; El Gharous, Mohamed et al.
2022In Agronomy for Sustainable Development, 42 (5)
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Keywords :
Agronomy and Crop Science; Environmental Engineering
Abstract :
[en] Crop models have evolved over the past decade to incorporate more soil-related processes. While this may open avenues to support farmers regarding fertilization practices, it also widens the pitfalls related to model parametrization. Open-access georeferenced soil databases are often a solution for modelers to derive soil parameters. However, they can potentially add to model uncertainty depending on database resolution and the variability of the characteristics it contains. Fertimap is an online spatial database recently released in Morocco. In this study, we aim at assessing how Fertimap could support the use of crop model in the rainfed wheat production areas of Morocco. Data including local soil analysis, farmers’ practices, wheat biomass, and yield were collected on 126 farmers’ fields distributed across the rainfed wheat production area in Morocco from 2018 to 2020. Data were first used to parameterize, calibrate, and assess the model, using site-specific data to infer soil parameters. Then, the impact of soil data source on model uncertainty was assessed by rerunning the simulations while using alternatively locally measured soil inputs or inputs extracted from Fertimap. To disentangle the effect of data source from model sensitivity on model outputs, the model’s sensitivity to labile phosphorus, pH, and organic carbon parameters was also tested. The APSIM-wheat model was found to reasonably simulate wheat phenological stages, biomass, and yield. The comparison of model outputs using one or another source of soil data indicated that using Fertimap had no significant effect on the model’s outputs. This study provides the first assessment of the APSIM-wheat model for simulation of widely used wheat cultivars in Moroccan rainfed areas. It is also the first proof of the practical utility of Fertimap database for modeling purposes in Morocco. This preliminary study delivers a robust basis for model-assisted agricultural advising to take off in Morocco.
Research center :
SPHERES - ULiège
Disciplines :
Agriculture & agronomy
Author, co-author :
Mamassi, Achraf  ;  Université de Liège - ULiège > Sphères
Marrou, Hélène
El Gharous, Mohamed
Wellens, Joost  ;  Université de Liège - ULiège > TERRA Research Centre > Echanges Eau - Sol - Plantes
Jabbour, Fatima-Ezzahra
Zeroual, Youssef
Hamma, Abdellah
Tychon, Bernard ;  Université de Liège - ULiège > Sphères
Language :
English
Title :
Relevance of soil fertility spatial databases for parameterizing APSIM-wheat crop model in Moroccan rainfed areas
Publication date :
22 August 2022
Journal title :
Agronomy for Sustainable Development
ISSN :
1774-0746
eISSN :
1773-0155
Publisher :
Springer Science and Business Media LLC
Volume :
42
Issue :
5
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Prayon [BE]
OCP
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since 27 August 2022

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