• Login
    View Item 
    •   Home
    • Articles and other publications by RIVM employees
    • Miscellaneous
    • View Item
    •   Home
    • Articles and other publications by RIVM employees
    • Miscellaneous
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    RIVM Publications RepositoryCommunitiesTitleAuthorsIssue DateSubmit Date

    My Account

    LoginRegister

    Statistics

    Display statistics

    Development of a machine-learning model to identify the impacts of pesticides characteristics on soil microbial communities from high-throughput sequencing data.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Average rating
     
       votes
    Cast your vote
    You can rate an item by clicking the amount of stars they wish to award to this item. When enough users have cast their vote on this item, the average rating will also be shown.
    Star rating
     
    Your vote was cast
    Thank you for your feedback
    Authors
    Ke, Mingjing
    Xu, Nuohan
    Zhang, Zhenyan
    Qiu, Danyan
    Kang, Jian
    Lu, Tao
    Wang, Tingzhang
    Peijnenburg, W J G M
    Sun, Liwei
    Hu, Baolan
    Qian, Haifeng
    Show allShow less
    Type
    Article
    Language
    en
    
    Metadata
    Show full item record
    Title
    Development of a machine-learning model to identify the impacts of pesticides characteristics on soil microbial communities from high-throughput sequencing data.
    Published in
    Environmental microbiology 2022; 24(11):5561-5573
    DOI
    10.1111/1462-2920.16175
    PMID
    36054535
    URI
    http://hdl.handle.net/10029/626065
    ae974a485f413a2113503eed53cd6c53
    10.1111/1462-2920.16175
    Scopus Count
    Collections
    Miscellaneous

    entitlement

    Related articles

    • Machine learning predicts ecological risks of nanoparticles to soil microbial communities.
    • Authors: Xu N, Kang J, Ye Y, Zhang Q, Ke M, Wang Y, Zhang Z, Lu T, Peijnenburg WJGM, Josep Penuelas, Bao G, Qian H
    • Issue date: 2022 Aug 15
    • Blame It on the Metabolite: 3,5-Dichloroaniline Rather than the Parent Compound Is Responsible for the Decreasing Diversity and Function of Soil Microorganisms.
    • Authors: Vasileiadis S, Puglisi E, Papadopoulou ES, Pertile G, Suciu N, Pappolla RA, Tourna M, Karas PA, Papadimitriou F, Kasiotakis A, Ipsilanti N, Ferrarini A, Sułowicz S, Fornasier F, Menkissoglu-Spiroudi U, Nicol GW, Trevisan M, Karpouzas DG
    • Issue date: 2018 Nov 15
    • Agricultural soils, pesticides and microbial diversity.
    • Authors: Jacobsen CS, Hjelmsø MH
    • Issue date: 2014 Jun
    • Chloropicrin alternated with dazomet improved the soil's physicochemical properties, changed microbial communities and increased strawberry yield.
    • Authors: Li Q, Zhang D, Cheng H, Song Z, Ren L, Hao B, Zhu J, Fang W, Yan D, Li Y, Wang Q, Cao A
    • Issue date: 2021 Sep 1
    • Prediction of Soil Adsorption Coefficient in Pesticides Using Physicochemical Properties and Molecular Descriptors by Machine Learning Models.
    • Authors: Kobayashi Y, Uchida T, Yoshida K
    • Issue date: 2020 Jul

    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.