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Reducing greenhouse gas emissions from a wheat–maize rotation system while still maintaining productivity.

Authors :
Li, Jianzheng
Wang, Enli
Wang, Yingchun
Xing, Hongtao
Wang, Daolong
Wang, Ligang
Gao, Chunyu
Source :
Agricultural Systems. Jun2016, Vol. 145, p90-98. 9p.
Publication Year :
2016

Abstract

High-input agriculture in China has successfully increased crop productivity in the past decades, but at a significant environmental cost. It is essential to improve management strategies to mitigate greenhouse gas (GHG) emissions and other environmental costs, while maintaining grain yields. However, there is a lack of studies to evaluate mitigation strategies under long-term climate variability. This paper combines field experimental data and soil–plant systems modeling to investigate the potential for improving water and nitrogen management of a wheat–maize double cropping system in North China Plain. The APSIM model was calibrated against the data and then applied to simulate crop yield and N 2 O emissions from soil in response to irrigation and nitrogen inputs. Our results show that the N fertilizer rate and irrigation amount under the local farmer practice could be reduced by 28% and 14% without sacrificing crop yield. This in turn led to a reduction in GHG emissions by 31%, mainly attributed to the decrease in emissions from the production and transportation of N fertilizer and direct N 2 O emissions from soil. Additionally, the results indicate that the direct N 2 O emissions from soil was positively correlated with N inputs, implying an increasing emission factor (N 2 O produced per unit of N input) with N application rates. It is concluded that potential exists to optimize N fertilizer rate and irrigation amount to reduce GHG emissions while still maintaining crop yield in the agro-ecosystems in North China Plain. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0308521X
Volume :
145
Database :
Academic Search Index
Journal :
Agricultural Systems
Publication Type :
Academic Journal
Accession number :
114878362
Full Text :
https://doi.org/10.1016/j.agsy.2016.03.007