中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Azolla biofertilizer for improving low nitrogen use efficiency in an intensive rice cropping system

文献类型:期刊论文

作者Yao, Yuanlin1,2; Zhang, Min1,2; Tian, Yuhua1; Zhao, Miao3; Zeng, Ke1,2; Zhang, Bowen4; Zhao, Meng1,2; Yin, Bin1
刊名FIELD CROPS RESEARCH
出版日期2018-02-01
卷号216页码:158-164
关键词N use efficiency Azolla biofertilizer Biological N fixation N-15 recovery Ammonia volatilization
ISSN号0378-4290
DOI10.1016/j.fcr.2017.11.020
英文摘要The efficient use of nitrogen (N) in crop production is critical for meeting the challenges of food security and environmental integrity. Azolla biofertilizer may be a promising approach to achieve better N use efficiency (NUE) in paddy rice fields due to its great potential for biological N fixation (BNF). The objective of this study was to determine the efficacy of partially substituting Azolla biofertilizer for synthetic N fertilizer to improve NUE, reduce N loss and enhance rice yield in the currently highly fertilized rice cropping systems of China. Therefore, a 3-year field experiment was conducted with five treatments: CK (control without urea), FN (farmers' N practice), FNA (the farmers' N combined with Azolla biofertilizer), RN (reducing farmers' N by 25%) and RNA (substituting Azolla biofertilizer for 25% farmers' N). The NUE, ammonia (NH3) volatilization, rice yield and net economic benefit (the difference between the value of the harvest grain and the costs of fertilizer and Azolla inputs) were assessed. The results showed that in the RNA and FNA treatments, Azolla biofertilizer produced higher recovery efficiency of fertilizer N by 69% and 59%, provided higher agronomic N use efficiency by 52% and 31% and achieved higher partial factor productivity of applied N by 43% and 13% than FN for the 3 years, respectively. In addition, the RNA and FNA treatments achieved crop N-15 recovery that was 64% and 49% higher than. the FN treatment, respectively. The improved NUE under the Azolla biofertilizer treatments were attributed to reduced N loss and enhanced N uptake by rice plants. The RNA and FNA treatments significantly reduced N-15 loss by 48% and 26%, as well as lowered NH3 loss by 42% and 12% over FN, respectively. In addition, Azolla could fix 52 and 44 kg N ha(-1) crop(-1) in the RNA and FNA treatments, and thereby, Azolla biofertilizer resulted in higher N uptake that was 17% and 33% higher in the RNA and FNA groups than in FN, respectively. As a result, the RNA and FNA treatments achieved higher rice yield by 8% and 14% over FN, respectively, but they attained similar and higher net economic benefit over FN for the 3 years. Therefore, substituting Azolla biofertilizer for 25% of urea-N provides a financially attractive option for farmers to substantially improve NUE and yield and effectively reduce N loss in intensive rice cropping systems.
语种英语
WOS记录号WOS:000423652600016
出版者ELSEVIER SCIENCE BV
源URL[http://ir.imde.ac.cn/handle/131551/20882]  
专题成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室
成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Yin, Bin
作者单位1.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Jiangsu, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chengdu Univ Informat Technol, Coll Resources & Environm, Chengdu 610225, Sichuan, Peoples R China
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Ecol Regulat, Chengdu 610041, Sichuan, Peoples R China
推荐引用方式
GB/T 7714
Yao, Yuanlin,Zhang, Min,Tian, Yuhua,et al. Azolla biofertilizer for improving low nitrogen use efficiency in an intensive rice cropping system[J]. FIELD CROPS RESEARCH,2018,216:158-164.
APA Yao, Yuanlin.,Zhang, Min.,Tian, Yuhua.,Zhao, Miao.,Zeng, Ke.,...&Yin, Bin.(2018).Azolla biofertilizer for improving low nitrogen use efficiency in an intensive rice cropping system.FIELD CROPS RESEARCH,216,158-164.
MLA Yao, Yuanlin,et al."Azolla biofertilizer for improving low nitrogen use efficiency in an intensive rice cropping system".FIELD CROPS RESEARCH 216(2018):158-164.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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