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Can knowledge‐based N management produce more staple grain with lower greenhouse gas emission and reactive nitrogen pollution? A meta‐analysis

Xia, Longlong, Lam, Shu Kee, Chen, Deli, Wang, Jinyang, Tang, Quan, Yan, Xiaoyuan·2017·Global Change Biology

Abstract

Knowledge‐based nitrogen (N) management, which is designed for a better synchronization of crop N demand with N supply, is critical for global food security and environmental sustainability. Yet, a comprehensive assessment on how these N management practices affect food production, greenhouse gas emission (GHG), and N pollution in China is lacking. We compiled the results of 376 studies (1166 observations) to evaluate the overall effects of seven knowledge‐based N management practices on crop productivity, nitrous oxide (N 2 O) emission, and major reactive N (Nr) losses (ammonia, NH3; N leaching and runoff), for staple grain (rice, wheat, and corn) production in China. These practices included the application of controlled‐release N fertilizer, nitrification inhibitor (NI) and urease inhibitor (UI), higher splitting frequency of fertilizer N application, lower basal N fertilizer (BF) proportion, deep placement of N fertilizer, and optimal N rate based on soil N test. Our results showed that, compared to traditional N management, these knowledge‐based N practices significantly increased grain yields by 1.3–10.0%, which is attributed to the higher aboveground N uptake (5.1–12.1%) and N use efficiency in grain (8.0–48.2%). Moreover, these N management practices overall reduced GHG emission and Nr losses, by 5.4–39.8% for N 2 O emission, 30.7–61.5% for NH3 emission (except for the NI application), 13.6–37.3% for N leaching, and 15.5–45.0% for N runoff. The use of NI increased NH3 emission by 27.5% (9.0–56.0%), which deserves extra‐attention. The cost and benefit analysis indicated that the yield profit of these N management practices exceeded the corresponding input cost, which resulted in a significant increase of the net economic benefit by 2.9–12.6%. These results suggest that knowledge‐based N management practice can be considered an effective way to ensure food security and improve environmental sustainability, while increasing economic return.

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Metadata

Authors
Xia, L., Lam, S. K., Chen, D., Wang, J., Tang, Q., & Yan, X.
Venue
Global Change Biology
Publisher
Wiley
Published
2016-08-29
Volume
23
Issue
5
Pages
1917-1925
ISSN
  • 1354-1013 (ISSN-L)
  • 1365-2486
OpenAlex
W2499701230
Cited by
507
References
35
FWCI
23.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Can knowledge‐based N management produce more staple grain with lower greenhouse gas emission and reactive nitrogen pollution? A meta‐analysis. https://app.cochat.ai/papers/10.1111/gcb.13455
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Xia, L., Lam, S. K., Chen, D., Wang, J., Tang, Q., & Yan, X. (2017). Can knowledge‐based N management produce more staple grain with lower greenhouse gas emission and reactive nitrogen pollution? A meta‐analysis. Global Change Biology. https://doi.org/10.1111/gcb.13455

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