The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Can knowledge‐based N management produce more staple grain with lower greenhouse gas emission and reactive nitrogen pollution? A meta‐analysis
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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Cites
Global food demand and the sustainable intensification of agriculture
Tilman, D., Balzer, C., Hill, J., & Befort, B. L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116437108 · Cited by 7,692
Transformation of the Nitrogen Cycle: Recent Trends, Questions, and Potential Solutions
Galloway, J. N., Townsend, A. R., Erisman, J. W., Bekunda, M., Cai, Z., Freney, J. R., Martinelli, L. A., Seitzinger, S. P., & Sutton, M. A. (2008) · Science · doi:10.1126/science.1136674 · Cited by 6,995
Reducing environmental risk by improving N management in intensive Chinese agricultural systems
Ju, X.-T., Xing, G.-X., Chen, X.-P., Zhang, S.-L., Zhang, L.-J., Liu, X.-J., Cui, Z.-L., Yin, B., Christie, P., Zhu, Z.-L., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813417106 · Cited by 2,599
Producing more grain with lower environmental costs
Chen, X., Cui, Z., Fan, M., Vitousek, P., Zhao, M., Ma, W., Wang, Z., Zhang, W., Yan, X., Yang, J., et al. (2014) · Nature · doi:10.1038/nature13609 · Cited by 1,907
Self-citationSutton, M. A., Oenema, O., Erisman, J. W., Leip, A., van Grinsven, H., & Winiwarter, W. (2011) · Nature · doi:10.1038/472159a · Cited by 1,164
Integrated soil–crop system management for food security
Chen, X.-P., Cui, Z.-L., Vitousek, P. M., Cassman, K. G., Matson, P. A., Bai, J.-S., Meng, Q.-F., Hou, P., Yue, S.-C., Römheld, V., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1101419108 · Cited by 776
AKIYAMA, H., YAN, X., & YAGI, K. (2010) · Global Change Biology · doi:10.1111/j.1365-2486.2009.02031.x · Cited by 746
Self-citationIntegrated reactive nitrogen budgets and future trends in China
Gu, B., Ju, X., Chang, J., Ge, Y., & Vitousek, P. M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510211112 · Cited by 662
Abalos, D., Jeffery, S., Sanz-Cobena, A., Guardia, G., & Vallejo, A. (2014) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2014.03.036 · Cited by 623
Increased soil emissions of potent greenhouse gases under increased atmospheric CO2
van Groenigen, K. J., Osenberg, C. W., & Hungate, B. A. (2011) · Nature · doi:10.1038/nature10176 · Cited by 551
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Gu, B., Zhang, X., Lam, S. K., Yu, Y., van Grinsven, H. J. M., Zhang, S., Wang, X., Bodirsky, B. L., Wang, S., Duan, J., et al. (2023) · Nature · doi:10.1038/s41586-022-05481-8 · Cited by 722
Self-citation(2022) · Advances in Agronomy · doi:10.1016/bs.agron.2021.11.002 · Cited by 538
Xia, L., Lam, S. K., Yan, X., & Chen, D. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.6b06470 · Cited by 473
Self-citationControls and Adaptive Management of Nitrification in Agricultural Soils
Norton, J., & Ouyang, Y. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01931 · Cited by 404
Optimal nitrogen rate strategy for sustainable rice production in China
Cai, S., Zhao, X., Pittelkow, C. M., Fan, M., Zhang, X., & Yan, X. (2023) · Nature · doi:10.1038/s41586-022-05678-x · Cited by 312
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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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