干旱区生态环境知识资源中心(Arid): Capability of a solar energy-driven crop model for simulating water consumption and yield of maize and its comparison with a water-driven crop model

Arid

DOI	10.1016/j.agrformet.2020.107955
	Capability of a solar energy-driven crop model for simulating water consumption and yield of maize and its comparison with a water-driven crop model
	Ran, Hui 1; Kang, Shaozhong 2; Hu, Xiaotao 1; Li, Sien 2; Wang, Wene 1; Liu, Fulai 1
通讯作者	Kang, Shaozhong ; Hu, Xiaotao
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
EISSN	1873-2240
出版年	2020
卷号	287
英文摘要	As water scarcity becomes more acute in many parts of the world, crop modeling tools that effectively simulating crop response to deficit irrigation strategies to help investigate management improvement are needed. Identifying the strengths and weaknesses of the crop models with different growth-engines are therefore of great importance. The objective of this study was to investigate the capability and improvements of the new version of a solar energy-driven crop model (DSSAT-CERES-Maize, v4.7.5.0) in simulating water consumption and yield of hybrid seed maize under different soil water conditions, and its comparison with a water-driven crop model (AquaCrop, v4.0). Data obtained from a 4-year (2012-2015) field trial on maize grown under different irrigation treatments at Wuwei, Northwest China, was used for this assessment. These models were calibrated and validated using measured daily evapotranspiration (ET), leaf area index (LAI), aboveground biomass, yield (Y), harvest index (HI) and soil water content (SWC). Daily ET was measured using a combination of an eddy covariance (EC) system, sap flow sensors, and micro-lysimeter cylinders. The ability of DSSAT-CERES-Maize using the two different ET options, i.e., Priestley-Taylor/Ritchie (PT) and FAO-56 Penman-Monteith (PM) was analyzed. The results showed that DSSAT-CERES-Maize with the PT approach had fair agreement with measured daily ET of maize under non-water stress condition (R-2 =0.85; NRMSE = 26.7%), but poor agreement with ET under water stress conditions (R-2 =0.51; NRMSE = 43.8%). DSSAT-CERES-Maize with the PM approach systematically underestimated ET by up to 13% under non-water stress condition, which was mainly attributed to that the maximum static CERES-Maize crop coefficient (EORATIO) was currently hard coded to 1.0. Using the PT or FAO-56 PM approach as ET input in DSSAT-CERES-Maize showed no different effect on final biomass (B) and Y simulation for full irrigation. But for water stress conditions, DSSAT-CERES-Maize with the FAO-56 PM approach simulated B and Y with higher overestimation to the measured data than those simulated using the PT approach. The simulated LAI, biomass and SWC by DSSAT-CERES-Maize using the PT approach generally well followed the trend of the measured values for most irrigation treatments. The model with the PT approach showed acceptable prediction for B and Y of different irrigation treatments across years, with NRMSE of 15.5% and 26.2%, respectively, but the accuracy decreased with an aggravation of water stress. Furthermore, the strengths and weaknesses of DSSAT-CERES-Maize and AquaCrop, and their different cores of growth-engines, i.e. RUE and normalized water productivity (WP*) were carefully discussed. It was concluded that DSSAT-CERES-Maize was a superior estimate of maize yield than was AquaCrop, especially when the climate varied dramatically between years. But DSSAT-CERES-Maize, for the simulation of maize water consumption in an arid region where drought often occurs, was inferior to AquaCrop. These results contribute to recommend the appropriate crop model for specific modeling goals.
英文关键词	Evapotranspiration Yield forecast Water stress Radiation use efficiency Water productivity Growth-engine
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000531095900028
WOS关键词	RADIATION-USE EFFICIENCY ; DEFICIT IRRIGATED MAIZE ; RESOURCE USE EFFICIENCY ; FIELD-GROWN SUNFLOWER ; SEED PRODUCTION ; AQUACROP MODEL ; LIMITED IRRIGATION ; CERES-WHEAT ; ARID REGION ; EVAPOTRANSPIRATION
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
来源机构	西北农林科技大学 ; 中国农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319329
作者单位	1.Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Yangling 712100, Shaanxi, Peoples R China; 2.China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Ran, Hui,Kang, Shaozhong,Hu, Xiaotao,et al. Capability of a solar energy-driven crop model for simulating water consumption and yield of maize and its comparison with a water-driven crop model[J]. 西北农林科技大学, 中国农业大学,2020,287.
APA	Ran, Hui,Kang, Shaozhong,Hu, Xiaotao,Li, Sien,Wang, Wene,&Liu, Fulai.(2020).Capability of a solar energy-driven crop model for simulating water consumption and yield of maize and its comparison with a water-driven crop model.AGRICULTURAL AND FOREST METEOROLOGY,287.
MLA	Ran, Hui,et al."Capability of a solar energy-driven crop model for simulating water consumption and yield of maize and its comparison with a water-driven crop model".AGRICULTURAL AND FOREST METEOROLOGY 287(2020).