干旱区生态环境知识资源中心(Arid): Determining optimum nitrogen management as a function of planting date for spring wheat (Triticum aestivum L.) under semi-arid conditions using a modeling approach

Arid

DOI	10.1016/j.jaridenv.2020.104256
	Determining optimum nitrogen management as a function of planting date for spring wheat (Triticum aestivum L.) under semi-arid conditions using a modeling approach
	Ishaque, Wajid; Shelia, Vakhtang; Anothai, Jakarat; Zaman, Mohammad; Hoogenboom, Gerrit
通讯作者	Shelia, V
来源期刊	JOURNAL OF ARID ENVIRONMENTS
ISSN	0140-1963
EISSN	1095-922X
出版年	2020
卷号	182
英文摘要	A crop modeling approach can be used to assess various crop management options and water productivity to improve crop production for different environments. The goal of this study was to determine optimum planting dates and nitrogen management options using a systems analysis approach based on the Cropping System Model (CSM) CERES-Wheat of DSSAT v 4.6. Wheat experiments were conducted from 2007 to 2013 under semi-arid conditions at the experimental fields of the Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Pakistan. The CSM-CERES-Wheat model was calibrated for wheat (Triticum aestivum L.) cultivar Sehar-2006 from a 3-year field experiment data on flowering day, maturity day, canopy cover, grain yield, biomass, grain nitrogen content, and nitrogen harvest index. After calibration, the CSM-CERES-Wheat model produced satisfactory simulations for wheat phenology and crop growth parameters. The model was then evaluated using six years of independent datasets for both irrigated and rainfed conditions. The evaluation showed that the model performed well as indicated by the accurate simulation of wheat phenology [the normalized root mean square error (NRMSE) = 3%] and crop growth parameters such as crop cover (NRMSE = 7%-13%), biomass (NRMSE = 17%), and grain yield (NRMSE = 9%) against measured data. The model's performance was less satisfactory for biomass production under high soil moisture or rainfed conditions. Focusing on differences in temperature and rainfall patterns during the potential growing season, the model was used to estimate the optimum planting dates and in-season nitrogen management options using 39 years (1974-2013) of historical weather data for short term adaptation against climate variability. The scenario simulations for planting dates showed that growing wheat under rainfed conditions at the study region is not a viable option. However, based on the simulation results, we concluded that early planting from November 1st to 10th for irrigated conditions with applications of 150 kg N ha(-1) in three equal splits with the first at sowing and the rest two splits during vegetative growth phase could result in higher crop yield and water use efficiency. This study showed that the model can be a promising tool for providing crop management recommendations under high-temperature conditions found in the semi-arid conditions.
英文关键词	Genetic coefficients Sustainable production Crop model Systems analysis DSSAT
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000564509500007
WOS关键词	CERES-WHEAT ; CROP MODEL ; YIELD COMPONENTS ; HIGH-TEMPERATURE ; CLIMATE-CHANGE ; SOWING TIME ; PRODUCTIVITY ; IRRIGATION ; EFFICIENCY ; VARIETIES
WOS类目	Ecology ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325918
作者单位	[Ishaque, Wajid] Nucl Inst Agr & Biol NIAB, POB 128,Jhang Rd, Faisalabad, Punjab, Pakistan; [Shelia, Vakhtang; Hoogenboom, Gerrit] Univ Florida, Inst Sustainable Food Syst, Frazier Rogers Hall, Gainesville, FL 32611 USA; [Shelia, Vakhtang; Hoogenboom, Gerrit] Univ Florida, Dept Agr & Biol Engn, Frazier Rogers Hall, Gainesville, FL 32611 USA; [Anothai, Jakarat] Prince Songkla Univ, Fac Nat Resources, Dept Plant Sci, Hat Yai 90112, Thailand; [Zaman, Mohammad] Vienna Int Ctr, Dept Nucl Sci & Applicat, Joint FAO IAEA Div Nucl Tech Food & Agr, POB 100, A-1400 Vienna, Austria
推荐引用方式 GB/T 7714	Ishaque, Wajid,Shelia, Vakhtang,Anothai, Jakarat,et al. Determining optimum nitrogen management as a function of planting date for spring wheat (Triticum aestivum L.) under semi-arid conditions using a modeling approach[J],2020,182.
APA	Ishaque, Wajid,Shelia, Vakhtang,Anothai, Jakarat,Zaman, Mohammad,&Hoogenboom, Gerrit.(2020).Determining optimum nitrogen management as a function of planting date for spring wheat (Triticum aestivum L.) under semi-arid conditions using a modeling approach.JOURNAL OF ARID ENVIRONMENTS,182.
MLA	Ishaque, Wajid,et al."Determining optimum nitrogen management as a function of planting date for spring wheat (Triticum aestivum L.) under semi-arid conditions using a modeling approach".JOURNAL OF ARID ENVIRONMENTS 182(2020).