IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v4y2014i2p58-78d34567.html
   My bibliography  Save this article

Fluorescence Indices for the Proximal Sensing of Powdery Mildew, Nitrogen Supply and Water Deficit in Sugar Beet Leaves

Author

Listed:
  • Georg Leufen

    (Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation, University of Bonn, Auf dem Huegel 6, Bonn D-53121, Germany)

  • Georg Noga

    (Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation, University of Bonn, Auf dem Huegel 6, Bonn D-53121, Germany)

  • Mauricio Hunsche

    (Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation, University of Bonn, Auf dem Huegel 6, Bonn D-53121, Germany)

Abstract

Using potted sugar beet plants we aimed to investigate the suitability of four fluorescence indices to detect and differentiate the impact of nitrogen supply, water deficit and powdery mildew in two sugar beet cultivars ( Beta vulgaris L.). Plants were grown inside a polytunnel under two nitrogen levels combined with water deficit or full irrigation. Changes in plant physiology were recorded at two physiological stages with a multiparametric handheld fluorescence sensor and a fluorescence imaging system. The analysis of chlorophyll content and osmotic potential served as reference. Based on our results, the fluorescence indices “Nitrogen Balance Index” and “Simple Fluorescence Ratio” responded quite sensitively to drought stress and mildew infection. Moreover, the blue-to-far-red fluorescence ratio revealed significant stress-induced alterations in the plant physiology. In all, fluorescence indices might be used as single or combined indices for successful stress sensing. However, a robust stress differentiation by using only one fluorescence ratio could not be accomplished.

Suggested Citation

  • Georg Leufen & Georg Noga & Mauricio Hunsche, 2014. "Fluorescence Indices for the Proximal Sensing of Powdery Mildew, Nitrogen Supply and Water Deficit in Sugar Beet Leaves," Agriculture, MDPI, vol. 4(2), pages 1-21, March.
    • Handle: RePEc:gam:jagris:v:4:y:2014:i:2:p:58-78:d:34567
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/4/2/58/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/4/2/58/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gurdak Radosław & Bartold Maciej, 2021. "Remote sensing techniques to assess chlorophyll fluorescence in support of crop monitoring in Poland," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 25(4), pages 226-237, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:4:y:2014:i:2:p:58-78:d:34567. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.