ArticleScientific reports2021
Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Modelling crop growth and soil hydrothermal regimes under conservation agriculture using APSIM-wheat.Scientific reports · 2025Article
- Genome-wide identification and expression analysis of TaFDL gene family responded to vernalization in wheat (Triticum aestivum L.).BMC genomics · 2025Article
- Phosphogypsum as Fertilizer: Impacts on Soil Fertility, Barley Yield Components, and Heavy Metals Contents.Plants (Basel, Switzerland) · 2024Article
- Article
- Application of APSIM model in winter wheat growth monitoring.Frontiers in plant science · 2024Article
- Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions.Frontiers in plant science · 2023Article
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2 authors.
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Abstract
In this study, we evaluated the suitability of semi-arid region of Central Morocco for wheat production using Agricultural Production Systems sIMulator (APSIM) considering weather, soil properties and crop management production factors. Model calibration was carried out using data collected from field trials. A quantitative statistics, i.e., root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), and index of agreement (d) were used in model performance evaluation. Furthermore, series of simulations were performed to simulate the future scenarios of wheat productivity based on climate projection; the optimum sowing date under water deficit condition and selection of appropriate wheat varieties. The study showed that the performance of the model was fairly accurate as judged by having RMSE = 0.13, NSE = 0.95, and d = 0.98. The realization of future climate data projection and their integration into the APSIM model allowed us to obtain future scenarios of wheat yield that vary between 0 and 2.33 t/ha throughout the study period. The simulated result confirmed that the yield obtained from plots seeded between 25 October and 25 November was higher than that of sown until 05 January. From the several varieties tested, Hartog, Sunstate, Wollaroi, Batten and Sapphire were yielded comparatively higher than the locale variety Marzak. In conclusion, APSIM-Wheat model could be used as a promising tool to identify the best management practices such as determining the sowing date and selection of crop variety based on the length of the crop cycle for adapting and mitigating climate change.
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