Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model

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...

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Autores principales:	Hamza Briak, Fassil Kebede
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/217badfcaae14c359ce78ded8a107972
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spelling	oai:doaj.org-article:217badfcaae14c359ce78ded8a1079722021-12-05T12:12:23ZWheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model10.1038/s41598-021-02668-32045-2322https://doaj.org/article/217badfcaae14c359ce78ded8a1079722021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02668-3https://doaj.org/toc/2045-2322Abstract 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.Hamza BriakFassil KebedeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-20 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hamza Briak Fassil Kebede Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model
description	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.
format	article
author	Hamza Briak Fassil Kebede
author_facet	Hamza Briak Fassil Kebede
author_sort	Hamza Briak
title	Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model
title_short	Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model
title_full	Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model
title_fullStr	Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model
title_full_unstemmed	Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model
title_sort	wheat (triticum aestivum) adaptability evaluation in a semi-arid region of central morocco using apsim model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/217badfcaae14c359ce78ded8a107972
work_keys_str_mv	AT hamzabriak wheattriticumaestivumadaptabilityevaluationinasemiaridregionofcentralmoroccousingapsimmodel AT fassilkebede wheattriticumaestivumadaptabilityevaluationinasemiaridregionofcentralmoroccousingapsimmodel
_version_	1718372120593956864

Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model

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