IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i6p875-d1406422.html
   My bibliography  Save this article

Biochemical and Physical Screening Using Optical Oxygen-Sensing and Multispectral Imaging in Sea Oats Seeds

Author

Listed:
  • Andrew Ogolla Egesa

    (Environmental Horticulture Department, University of Florida, Gainesville, FL 32611, USA)

  • Maria Teresa Davidson

    (Environmental Horticulture Department, University of Florida, Gainesville, FL 32611, USA)

  • Héctor E. Pérez

    (Environmental Horticulture Department, University of Florida, Gainesville, FL 32611, USA)

  • Kevin Begcy

    (Environmental Horticulture Department, University of Florida, Gainesville, FL 32611, USA
    Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, FL 32611, USA)

Abstract

Physical, physiological, and biochemical traits control critical seed functions such as germination, longevity, persistence, and seedling establishment. These traits are diverse between and among species, and they are also controlled by the environment in which the seed originated. Therefore, screening seed traits and understanding their roles in seed functions is crucial to facilitate the economical use of resources in collecting, sorting, and conserving seed materials of agronomical and ecological importance. We hypothesized the existence of physical and biochemical traits in sea oats seeds that can be used as proxies to predict viability and vigor to develop underpinnings for survival after non-optimal storage conditions. Using multispectral imaging and optical oxygen-sensing analyses, we evaluated the physical and biochemical traits of Uniola paniculata L. (sea oats) seeds collected from the US Atlantic and Gulf coastlines. Our results showed that several traits correlate to aging stress survival in sea oats seeds. These results confirm the potential of using physical and biochemical screening to predict seed quality while offering insights into extended seed longevity periods. Therefore, exploring and analyzing the physical and biochemical properties of seeds could reveal salient markers that contribute to viability and longevity.

Suggested Citation

  • Andrew Ogolla Egesa & Maria Teresa Davidson & Héctor E. Pérez & Kevin Begcy, 2024. "Biochemical and Physical Screening Using Optical Oxygen-Sensing and Multispectral Imaging in Sea Oats Seeds," Agriculture, MDPI, vol. 14(6), pages 1-16, May.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:6:p:875-:d:1406422
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/6/875/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/6/875/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martina Vrešak & Merete Halkjaer Olesen & René Gislum & Franc Bavec & Johannes Ravn Jørgensen, 2016. "The Use of Image-Spectroscopy Technology as a Diagnostic Method for Seed Health Testing and Variety Identification," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-10, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anders Krogh Mortensen & René Gislum & Johannes Ravn Jørgensen & Birte Boelt, 2021. "The Use of Multispectral Imaging and Single Seed and Bulk Near-Infrared Spectroscopy to Characterize Seed Covering Structures: Methods and Applications in Seed Testing and Research," Agriculture, MDPI, vol. 11(4), pages 1-18, April.
    2. Carlos Henrique Queiroz Rego & Fabiano França-Silva & Francisco Guilhien Gomes-Junior & Maria Heloisa Duarte de Moraes & André Dantas de Medeiros & Clíssia Barboza da Silva, 2020. "Using Multispectral Imaging for Detecting Seed-Borne Fungi in Cowpea," Agriculture, MDPI, vol. 10(8), pages 1-12, August.
    3. Xingpeng Li & Hongzhe Jiang & Xuesong Jiang & Minghong Shi, 2021. "Identification of Geographical Origin of Chinese Chestnuts Using Hyperspectral Imaging with 1D-CNN Algorithm," Agriculture, MDPI, vol. 11(12), pages 1-19, December.
    4. Frédéric Kosmowski & Tigist Worku, 2018. "Evaluation of a miniaturized NIR spectrometer for cultivar identification: The case of barley, chickpea and sorghum in Ethiopia," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.

    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:14:y:2024:i:6:p:875-:d:1406422. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.