IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v48y1999i2p185-196.html
   My bibliography  Save this article

Modelling Variability in the Branching Structure of Strawberry Inflorescences

Author

Listed:
  • Martin S. Ridout
  • Byron J. T. Morgan
  • David R. Taylor

Abstract

The branching structure of inflorescences of the cultivated strawberry (Fragaria×ananassa Duch.) is very variable. This paper demonstrates that some aspects of this variability are well described by a simple stochastic model of branching that has two adjustable parameters. The model is shown to provide a good fit to data from a set of almost 700 inflorescences of the cultivar Elsanta, collected over two successive years. For one parameter the maximum likelihood estimator is a moment estimator which is fully efficient even if the detailed branching structure of the inflorescences is not recorded. This parameter provides a convenient summary of branching vigour. The maximum likelihood estimator of the second parameter must be determined iteratively and can be quite inefficient unless the full branching structure is recorded. The model demonstrates that branching structure is affected by the order in which inflorescences emerge on the plant.

Suggested Citation

  • Martin S. Ridout & Byron J. T. Morgan & David R. Taylor, 1999. "Modelling Variability in the Branching Structure of Strawberry Inflorescences," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(2), pages 185-196.
  • Handle: RePEc:bla:jorssc:v:48:y:1999:i:2:p:185-196
    DOI: 10.1111/1467-9876.00148
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9876.00148
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1467-9876.00148?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:bla:jorssc:v:48:y:1999:i:2:p:185-196. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.