干旱区生态环境知识资源中心(Arid): Selection of the best nitrogen fertilizer management scenario in wheat based on Palmer drought severity index with an environmental perspective

Arid

DOI	10.1016/j.eja.2023.126980
	Selection of the best nitrogen fertilizer management scenario in wheat based on Palmer drought severity index with an environmental perspective
	Amirhajloo, Sajad; Gheysari, Mahdi; Shayannejad, Mohammad; Shirvani, Mehran
通讯作者	Gheysari, M
来源期刊	EUROPEAN JOURNAL OF AGRONOMY
ISSN	1161-0301
EISSN	1873-7331
出版年	2023
卷号	151
英文摘要	In arid and semi-arid regions, where winter wheat relies partially on precipitation for its water requirements, the timing and amount of precipitation play a pivotal role in nitrogen (N) losses. Given the extensive cultivation of wheat in these areas, farmers' oversight of N rates, N splitting, and the impact of precipitation patterns on N losses have led to water resources contamination. Therefore, tailoring N management to drought condition fluctuations can reduce N losses. The goal was to boost wheat yield while minimizing N losses. The CERES-Wheat model was meticulously calibrated and evaluated over three years, involving an experimental field and five farmer fields. The calibrated model simulated twenty-five N fertilizer scenarios, spanning various N levels (50-250 kg ha-1) and split patterns. This conesidered soil textures and meteorological data from 1992 to 2020. The model's outcomes, encompassing various yield indices and performance metrics such as water productivity (WP), irrigation water productivity (IWP), N residual in soil (NR), N leaching (NL), available N use efficiency (ANUE), N absorption efficiency (NAE), and N utilization efficiency (NUE), were categorized into four distinct groups based on the Palmer's Drought Severity Index (PDSI): Group A: Positive PDSI all season, Group B: Negative PDSI all season, Group C: Positive early, negative later, and Group D: Negative early, positive later. Indices underwent thorough Principal Component Analysis (PCA) to identify the optimal scenario. Model evaluation represented key parameters comprehensively. Simulated total biomass matched real-world conditions (NRMSE 12.44-26.08%, D-index 0.86-0.97). Soil moisture and N fell within specific ranges (NRMSE 18.79-25.60%, RMSE 1.98-4.95 mg kg-1). Comparing different drought and soil conditions, significant performance metric differences emerged. Specifically, in Groups A and D, WP, IWP, ANUE, and NAE increased by 3.38%, 11.53%, 5.86%, and 5.76% compared to C and B. Group B had an 8.55-fold NL increase over A, while Group A saw a substantial 50.64% NR surge compared to B. In overall assessment, the study has identified that the optimal N application rate for the study area is 150 kg ha-1. However, determining the most appropriate N split pattern hinges on the dynamic interplay between PDSI and soil available water content (AWC).
英文关键词	CERES-Wheat Nitrate Principal component analysis (PCA) Soil available water content (AWC)
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001082304500001
WOS关键词	CERES-WHEAT ; DSSAT ; YIELD ; MODEL ; NITRATE ; SOIL
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396326
推荐引用方式 GB/T 7714	Amirhajloo, Sajad,Gheysari, Mahdi,Shayannejad, Mohammad,et al. Selection of the best nitrogen fertilizer management scenario in wheat based on Palmer drought severity index with an environmental perspective[J],2023,151.
APA	Amirhajloo, Sajad,Gheysari, Mahdi,Shayannejad, Mohammad,&Shirvani, Mehran.(2023).Selection of the best nitrogen fertilizer management scenario in wheat based on Palmer drought severity index with an environmental perspective.EUROPEAN JOURNAL OF AGRONOMY,151.
MLA	Amirhajloo, Sajad,et al."Selection of the best nitrogen fertilizer management scenario in wheat based on Palmer drought severity index with an environmental perspective".EUROPEAN JOURNAL OF AGRONOMY 151(2023).