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DOI	10.3390/rs13183789
	Optimizing the Sowing Date to Improve Water Management and Wheat Yield in a Large Irrigation Scheme, through a Remote Sensing and an Evolution Strategy-Based Approach
	Belaqziz, Salwa; Khabba, Said; Kharrou, Mohamed Hakim; Bouras, El Houssaine; Er-Raki, Salah; Chehbouni, Abdelghani
通讯作者	Belaqziz, S (corresponding author), Ibn Zohr Univ UIZ, Fac Sci, Dept Comp Sci, LabSIV Lab, Agadir 80000, Morocco. ; Belaqziz, S (corresponding author), Mohammed VI Polytech Univ UM6P, Ctr Remote Sensing Applicat CRSA, Benguerir 43150, Morocco.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:18
英文摘要	This study aims to investigate the effects of an optimized sowing calendar for wheat over a surface irrigation scheme in the semi-arid region of Haouz (Morocco) on irrigation water requirements, crop growth and development and on yield. For that, a scenario-based simulation approach based on the covariance matrix adaptation-evolution strategy (CMA-ES) was proposed to optimize both the spatiotemporal distribution of sowing dates and the irrigation schedules, and then evaluate wheat crop using the 2011-2012 growing season dataset. Six sowing scenarios were simulated and compared to identify the most optimal spatiotemporal sowing calendar. The obtained results showed that with reference to the existing sowing patterns, early sowing of wheat leads to higher yields compared to late sowing (from 7.40 to 5.32 t/ha). Compared with actual conditions in the study area, the spatial heterogeneity is highly reduced, which increased equity between farmers. The results also showed that the proportion of plots irrigated in time can be increased (from 40% to 82%) compared to both the actual irrigation schedules and to previous results of irrigation optimization, which did not take into consideration sowing dates optimization. Furthermore, considerable reduction of more than 40% of applied irrigation water can be achieved by optimizing sowing dates. Thus, the proposed approach in this study is relevant for irrigation managers and farmers since it provides an insight on the consequences of their agricultural practices regarding the wheat sowing calendar and irrigation scheduling and can be implemented to recommend the best practices to adopt.
英文关键词	seeding date irrigation scheduling evolutionary algorithm optimization water resources wheat grain yield
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000701485900001
WOS关键词	FAO CROP MODEL ; COVARIANCE-MATRIX ADAPTATION ; WINTER-WHEAT ; SEMIARID REGIONS ; MANAGING WHEAT ; GRAIN-YIELD ; TIME-SERIES ; CLIMATE ; EVAPOTRANSPIRATION ; TEMPERATURE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	French National Research Institute for Sustainable Development
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364484
作者单位	[Belaqziz, Salwa] Ibn Zohr Univ UIZ, Fac Sci, Dept Comp Sci, LabSIV Lab, Agadir 80000, Morocco; [Belaqziz, Salwa; Khabba, Said; Er-Raki, Salah; Chehbouni, Abdelghani] Mohammed VI Polytech Univ UM6P, Ctr Remote Sensing Applicat CRSA, Benguerir 43150, Morocco; [Khabba, Said] Cadi Ayyad Univ UCA, Fac Sci Semlalia, Dept Phys, LMFE, Marrakech 40000, Morocco; [Kharrou, Mohamed Hakim] Mohammed VI Polytech Univ UM6P, Int Water Res Inst IWRI, Benguerir 43150, Morocco; [Bouras, El Houssaine; Er-Raki, Salah] Cadi Ayyad Univ UCA, Fac Sci & Technol, Dept Appl Phys, ProcEDE, Marrakech 40000, Morocco; [Bouras, El Houssaine; Chehbouni, Abdelghani] Univ Toulouse, Ctr Etud Spatiales Biosphere CESBIO, CNRS, CNES,INRAE,IRD,UPS, F-31400 Toulouse, France
推荐引用方式 GB/T 7714	Belaqziz, Salwa,Khabba, Said,Kharrou, Mohamed Hakim,et al. Optimizing the Sowing Date to Improve Water Management and Wheat Yield in a Large Irrigation Scheme, through a Remote Sensing and an Evolution Strategy-Based Approach[J]. French National Research Institute for Sustainable Development,2021,13(18).
APA	Belaqziz, Salwa,Khabba, Said,Kharrou, Mohamed Hakim,Bouras, El Houssaine,Er-Raki, Salah,&Chehbouni, Abdelghani.(2021).Optimizing the Sowing Date to Improve Water Management and Wheat Yield in a Large Irrigation Scheme, through a Remote Sensing and an Evolution Strategy-Based Approach.REMOTE SENSING,13(18).
MLA	Belaqziz, Salwa,et al."Optimizing the Sowing Date to Improve Water Management and Wheat Yield in a Large Irrigation Scheme, through a Remote Sensing and an Evolution Strategy-Based Approach".REMOTE SENSING 13.18(2021).