文献类型： 外文期刊

作者： Liang, Hao ¹ ; Zhou, Guo-Peng ² ; Gao, Song-Juan ³ ; Nie, Jun ⁴ ; Xu, Chang-Xu ⁵ ; Wu, Ji ⁶ ; Liu, Chun-Zeng ⁷ ; Lv, Yu-Hu ⁸ ; Huang, Yi-Bin ⁹ ; Geng, Ming-Jian ¹⁰ ; Wang, Jian-Hong ¹¹ ; He, Tie-Guang ¹² ; Cao, Wei-Dong ² ;

作者机构： 1.Hohai Univ, Coll Agr Sci & Engn, Nanjing, Peoples R China

2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Beijing, Peoples R China

3.Nanjing Agr Univ, Coll Resources & Environm Sci, Nanjing, Peoples R China

4.Hunan Acad Agr Sci, Soil & Fertilizer Inst Hunan Prov, Changsha 401125, Peoples R China

5.Jiangxi Acad Agr Sci, Inst Soil & Fertilizer & Resources & Environm, Nanchang, Peoples R China

6.Inst Soil & Fertilizer, Anhui Acad Agr Sci, Hefei, Peoples R China

7.Henan Acad Agr Sci, Inst Plant Nutr Agr Resources & Environm Sci, Zhengzhou, Peoples R China

8.Xinyang Acad Agr Sci, Xinyang, Peoples R China

9.Fujian Acad Agr Sci, Inst Soil & Fertilizer Resources & Environm, Fuzhou, Peoples R China

10.Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Peoples R China

11.Zhejiang Acad Agr Sci, Inst Environm & Resource & Soil Fertilizer, Hangzhou, Peoples R China

12.Guangxi Acad Agr Sci, Agr Resources & Environm Res Inst, Guangxi Key Lab Arable Land Conservat, Nanning, Peoples R China

13.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, 12 Zhongguancun South Rd, Beijing 100081, Peoples R China

关键词： Rice; Green manure; Nitrogen footprint; Site -specific N application rate; Process -based modeling

期刊名称：JOURNAL OF ENVIRONMENTAL MANAGEMENT （ 影响因子：8.7； 五年影响因子：8.4 ）

ISSN： 0301-4797

年卷期： 2023 年 347 卷

页码：

收录情况： SCI

摘要： Milk vetch (Astragalus sinicus L.) is leguminous green manure (GM) which produces organic nitrogen (N) for subsequent crops and is widely planted and utilized to simultaneously reduce the use of synthetic N fertilizer and its environmental costs in rice systems. Determination of an optimal N application rate specific to the GM-rice system is challenging because of the large temporal and spatial variations in soil, climate, and field manage-ment conditions. To solve this problem, we developed a framework to explore the site-specific N application rate for the low-N footprint rice production system in southern China based on multi-site field experiments, farmer field survey, and process-based model (WHCNS_Rice, soil water heat carbon nitrogen simulator for rice). The results showed that a process-based model can explain >83.3% (p < 0.01) of the variation in rice yield, aboveground biomass, crop N uptake, and soil mineral N. Based on the scenario analysis of the tested WHCNS_Rice model, the simple regression equation was developed to implement site-specific N application rates that considered variations in GM biomass, soil, and climatic conditions. Simulation evaluation on nine provinces in southern China showed that the site-specific N application rate reduced regional synthetic N fertilizer input by 29.6 +/- 17.8% and 65.3 +/- 23.0% for single and early rice, respectively; decreased their total N footprints (NFs) by 23.4% and 49.3%, respectively; and without reduction in rice yield, compared with traditional farming N practices. The reduction in total NF was attributed to the reduced emissions from ammonia volatilization by 35.2%, N leaching by 28.4%, and N runoff by 32.7%. In this study, we suggested a low NF rice production system that can be obtained by combining GM with site-specific N application rate in southern China.