IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i9p3728-d1385785.html
   My bibliography  Save this article

Image-Based Phenotyping Study of Wheat Growth and Grain Yield Dependence on Environmental Conditions and Nitrogen Usage in a Multi-Year Field Trial

Author

Listed:
  • Stanley J. Miklavcic

    (Phenomics and Bioinformatics Research Centre, UniSA STEM, University of South Australia, Mawson Lakes, SA 5095, Australia)

  • Joshua Chopin

    (Phenomics and Bioinformatics Research Centre, UniSA STEM, University of South Australia, Mawson Lakes, SA 5095, Australia)

  • Hamid Laga

    (School of Information Technology, Murdoch University, Murdoch, WA 6150, Australia)

Abstract

As the global population and resource scarcity simultaneously increase, the pressure on plant breeders and growers to maximise the effectiveness of their operations is immense. In this article, we explore the usefulness of image-based data collection and analysis of field experiments consisting of multiple field sites, plant varieties, and treatments. The goal of this approach is to determine whether the noninvasive acquisition and analysis of image data can be used to find relationships between the canopy traits of field experiments and environmental factors. Our results are based on data from three field trials in 2016, 2017, and 2018 in South Australia. Image data were supplemented by environmental data such as rainfall, temperature, and soil composition in order to explain differences in growth and the development of plants across field trials. We have shown that the combination of high-throughput image-based data and independently recorded environmental data can reveal valuable connections between the variables influencing wheat crop growth; meanwhile, further studies involving more field trials under different conditions are required to test hypotheses and draw statistically significant conclusions. This work highlights some of the more responsive traits and their dependencies.

Suggested Citation

  • Stanley J. Miklavcic & Joshua Chopin & Hamid Laga, 2024. "Image-Based Phenotyping Study of Wheat Growth and Grain Yield Dependence on Environmental Conditions and Nitrogen Usage in a Multi-Year Field Trial," Sustainability, MDPI, vol. 16(9), pages 1-23, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3728-:d:1385785
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/9/3728/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/9/3728/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Smith, Vincent H., 2000. "Wheat Quality And Wheat Yields: Trade-Offs Among Price, Yield, Profit, And Risk," Special Reports 29174, Montana State University, Department of Agricultural Economics and Economics, Trade Research Center.
    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. Anton Bekkerman, 2021. "Quality forecasts: Predicting when and how much markets value higher‐protein wheat," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(4), pages 465-490, December.
    2. van der Merwe, Johannes Daniël, 2017. "Financial impact of wheat quality standards on South African wheat producers: a DLP approach," 21st Congress, Edinburgh, Scotland, July 2-7, 2017 345808, International Farm Management Association.
    3. Aykut Gul & Cuma Akbay & Mithat Direk, 2006. "Sunn Pest Control Policies and Effect of Sunn Pest Damage on Wheat Quality and Price in Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(3), pages 469-480, June.

    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:jsusta:v:16:y:2024:i:9:p:3728-:d:1385785. 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.