Full TGIF Record # 317406
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2021/2021.pdf#page=349
    Last checked: 04/13/2022
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Publication Type:
i
Report
Author(s):Hong, Mu; Zhang, Yao; Braun, Ross; Bremer, Dale J.
Author Affiliation:Hong and Bremer: Kansas State University; Zhang: Colorado State University; Braun: Purdue University
Title:Simulation of nitrous oxide emissions in zoysia turfgrass using DAYCENT and DNDC
Section:Environment
Other records with the "Environment" Section
Source:Mike Davis Program for Advancing Golf Course Management: 2021 Progress Reports. 2021, p. 342-351.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:10
Language:English
References:12
See Also:Related article appears in 2022 Turfgrass Research: Research Reports [Kansas State], 8(5) 2022, p. [1-8], R=323022. R=323022
See Also:Other Reports from this USGA research project: 2018-19-669
Note:Tables
USGA Summary Points:The DAYCENT and DNDC models were parameterized, calibrated, and validated for zoysiagrass with field data from Braun and Bremer (2018a, 2019) and Lewis and Bremer (2013). Daily N2O fluxes and annual cumulative N2O emissions were well modelled and adequately validated by DAYCENT for different irrigation and fertilization practices, whereas performance of DNDC was poor. In C4 turfgrass such as zoysiagrass, DAYCENT can well simulate the impacts of irrigation and N-fertilization practices on N2O emissions in daily and cumulative N2O fluxes, better than DNDC.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hong, M., Y. Zhang, R. Braun, and D. J. Bremer. 2021. Simulation of nitrous oxide emissions in zoysia turfgrass using DAYCENT and DNDC. USGA Turfgrass Environ. Res. Summ. p. 342-351.
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Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2021/2021.pdf#page=349
    Last checked: 04/13/2022
    Requires: PDF Reader
    Notes: Item is within a single large file
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