干旱区生态环境知识资源中心(Arid): Performance Evaluation of the WOFOST Model for Estimating Evapotranspiration, Soil Water Content, Grain Yield and Total Above-Ground Biomass of Winter Wheat in Tensift Al Haouz (Morocco): Application to Yield Gap Estimation

Arid

DOI	10.3390/agronomy11122480
	Performance Evaluation of the WOFOST Model for Estimating Evapotranspiration, Soil Water Content, Grain Yield and Total Above-Ground Biomass of Winter Wheat in Tensift Al Haouz (Morocco): Application to Yield Gap Estimation
	Dewenam, Lucas Emmanuel Fesonae; Er-Raki, Salah; Ezzahar, Jamal; Chehbouni, Abdelghani
通讯作者	Er-Raki, S (corresponding author), Mohammed VI Polytech Univ UM6P, Ctr Remote Sensing Applicat CRSA, Ben Guerir 43150, Morocco. ; Er-Raki, S (corresponding author), Univ Cadi Ayyad, Fac Sci & Tech, Dept Phys Appl, ProcEDE, Marrakech 40000, Morocco.
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2021
卷号	11 期号:12
英文摘要	The main goal of this investigation was to evaluate the potential of the WOFOST model for estimating leaf area index (LAI), actual evapotranspiration (ETa), soil moisture content (SM), above-ground biomass levels (TAGP) and grain yield (TWSO) of winter wheat in the semi-arid region of Tensift Al Haouz, Marrakech (central Morocco). An application for the estimation of the Yield Gap is also provided. The model was firstly calibrated based on three fields data during the 2002-2003 and 2003-2004 growing seasons, by using the WOFOST implementation in the Python Crop simulation Environment (PCSE) to optimize the different parameters that provide the minimum difference between the measured and simulated LAI, TAGP, TWSO, SM and ETa. Then, the model validation was performed based on the data from five other wheat fields. The results obtained showed a good performance of the WOFOST model for the estimation of LAI during both growing seasons on all validation fields. The average R-2, RSME and NRMSE were 91.4%, 0.57 m(2)/m(2), and 41.4%, respectively. The simulated ETa dynamics also showed a good agreement with the observations by eddy covariance systems. Values of 60% and 72% for R-2, 0.8 mm and 0.7 mm for RMSE, 54% and 31% for NRMSE are found for the two validation fields, respectively. The model's ability to predict soil moisture content was also found to be satisfactory; the two validation fields gave R-2 values equal to 48% and 49%, RMSE values equal to 0.03 cm(3)/cm(3) and 0.05 cm(3)/cm(3), NRMSE values equal to 11% and 19%. The calibrated model had a medium performance with respect to the simulation of TWSO (R-2 = 42%, RSME = 512 kg/ha, NRMSE = 19%) and TAGP (R-2 = 34% and RSME = 936 kg/ha, NRMSE = 16%). After accurate calibration and validation of the WOFOST model, it was used for analyzing the gap yield since this model is able to estimate the potential yield. The WOFOST model allowed a good simulation of the potential yield (7.75 t/ha) which is close to the optimum value of 6.270 t/ha in the region. Yield gap analysis reveals a difference of 5.35 t/ha on average between the observed yields and the potential yields calculated by WOFOST. Such difference is ascribable to many factors such as the crop cycle management, agricultural practices such as water and fertilization supply levels, etc. The various simulations (irrigation scenarios) showed that early sowing is more adequate than late sowing in saving water and obtaining adequate grain yield. Based on various simulations, it has been shown that the early sowing (mid to late December) is more adequate than late sowing with a total amount of water supply of about 430 mm and 322 kg (140 kg of N, 80 kg of P and 102 kg of K) of fertilization to achieve the potential yield. Consequently, the WOFOST model can be considered as a suitable tool for quantitative monitoring of winter wheat growth in the arid and semi-arid regions.
英文关键词	crop modelling WOFOST Tensift Morocco evapotranspiration crop yield estimation soil moisture leaf area index total biomass winter wheat gap 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:000735275400001
WOS关键词	LEAF-AREA INDEX ; SIMULATION ; SYSTEMS ; COEFFICIENTS ; IRRIGATION ; CLIMATE ; SERIES ; CROPS
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373916
作者单位	[Dewenam, Lucas Emmanuel Fesonae; Er-Raki, Salah; Ezzahar, Jamal; Chehbouni, Abdelghani] Mohammed VI Polytech Univ UM6P, Ctr Remote Sensing Applicat CRSA, Ben Guerir 43150, Morocco; [Er-Raki, Salah] Univ Cadi Ayyad, Fac Sci & Tech, Dept Phys Appl, ProcEDE, Marrakech 40000, Morocco; [Ezzahar, Jamal] Univ Cadi Ayyad, MISCOM, Ecole Natl Sci Appl ENSA, Safi 46000, Morocco; [Chehbouni, Abdelghani] UM6P, Int Water Res Inst IWRI, Ben Guerir 43150, Morocco; [Chehbouni, Abdelghani] Univ Toulouse, Ctr Etud Spatiales Biosphere CESBIO, IRD, F-31400 Toulouse, France
推荐引用方式 GB/T 7714	Dewenam, Lucas Emmanuel Fesonae,Er-Raki, Salah,Ezzahar, Jamal,et al. Performance Evaluation of the WOFOST Model for Estimating Evapotranspiration, Soil Water Content, Grain Yield and Total Above-Ground Biomass of Winter Wheat in Tensift Al Haouz (Morocco): Application to Yield Gap Estimation[J],2021,11(12).
APA	Dewenam, Lucas Emmanuel Fesonae,Er-Raki, Salah,Ezzahar, Jamal,&Chehbouni, Abdelghani.(2021).Performance Evaluation of the WOFOST Model for Estimating Evapotranspiration, Soil Water Content, Grain Yield and Total Above-Ground Biomass of Winter Wheat in Tensift Al Haouz (Morocco): Application to Yield Gap Estimation.AGRONOMY-BASEL,11(12).
MLA	Dewenam, Lucas Emmanuel Fesonae,et al."Performance Evaluation of the WOFOST Model for Estimating Evapotranspiration, Soil Water Content, Grain Yield and Total Above-Ground Biomass of Winter Wheat in Tensift Al Haouz (Morocco): Application to Yield Gap Estimation".AGRONOMY-BASEL 11.12(2021).