CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • CGIAR Research Programs and Platforms (2012-2021)
    • CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)
    • CCAFS Journal Articles
    • View Item
       
    • CGSpace Home
    • CGIAR Research Programs and Platforms (2012-2021)
    • CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)
    • CCAFS Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Optimizing the use of open chambers to measure ammonia volatilization in field plots amended with urea

    Thumbnail
    Authors
    Martins, Márcio R
    Sarkis, Leonardo F
    Sant'Anna, Selenobaldo AC
    Santos, Camila A
    Araujo, Karla E
    Santos, Ricardo C
    Araújo, Ednaldo S
    Alves, Bruno JR
    Jantalia, Claudia P
    Boddey, Robert M.
    Zaman, Mohammad
    Urquiaga, Segundo
    Date Issued
    2021-04
    Language
    en
    Type
    Journal Article
    ISI journal
    Accessibility
    Limited Access
    Usage rights
    Copyrighted; all rights reserved
    Metadata
    Show full item record
    Share
    
    Citation
    Martins MR, Sarkis LF, Sant'Anna SAC, Santos CA, Araujo KE, Santos RC, Araújo ES, Alves BJR, Jantalia CP, Boddey RM, Zaman M, Urquiaga S. 2021. Optimizing the use of open chambers to measure ammonia volatilization in field plots amended with urea. Pedosphere 31(2):243-254.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/110872
    DOI: https://doi.org/10.1016/S1002-0160(20)60078-9
    Abstract/Description
    Measuring ammonia (NH3) volatilization from urea-fertilized soils is crucial for evaluation of practices that reduce gaseous nitrogen (N) losses in agriculture. The small area of chambers used for NH3 volatilization measurements compared with the size of field plots may cause significant errors if inadequate sampling strategies are adopted. Our aims were: i) to investigate the effect of using multiple open chambers on the variability in the measurement of NH3 volatilization in urea-amended field plots and ii) to define the critical period of NH3-N losses during which the concentration of sampling effort is capable of reducing uncertainty. The use of only one chamber covering 0.015% of the plot (51.84 m2) generates a value of NH3-N loss within an expected margin of error of 30% around the true mean. To reduce the error margin by half (15%), 3–7 chambers were required with a mean of 5 chambers per plot. Concentrating the sampling efforts in the first two weeks after urea application, which is usually the most critical period of N losses and associated errors, represents an efficient strategy to lessen uncertainty in the measurements of NH3 volatilization. This strategy enhances the power of detection of NH3-N loss abatement in field experiments using chambers.
    CGIAR Author ORCID iDs
    Leonardo Sarkishttps://orcid.org/0000-0002-9090-4366
    Selenobaldo A. C. Sant'Annahttps://orcid.org/0000-0001-8893-7671
    Ednaldo Araújohttps://orcid.org/0000-0001-8293-0751
    Claudia Jantaliahttps://orcid.org/0000-0002-6178-6145
    Robert Boddeyhttps://orcid.org/0000-0003-3648-9859
    Mohammad Zamanhttps://orcid.org/0000-0001-9760-2988
    Segundo Urquiagahttps://orcid.org/0000-0002-3601-1233
    Other CGIAR Affiliations
    Climate Change, Agriculture and Food Security
    AGROVOC Keywords
    climate change; agriculture; food security; ammonia; gas emissions
    Subjects
    LOW EMISSIONS DEVELOPMENT;
    Organizations Affiliated to the Authors
    Empresa Brasileira de Pesquisa Agropecuária; Federal Rural University of Rio de Janeiro; Agroscope, Switzerland; Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture
    Collections
    • CCAFS Journal Articles [1251]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback