IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v30y1981i1p59-70.html
   My bibliography  Save this article

The Use of Neighbouring Plot Values in the Analysis of Variety Trials

Author

Listed:
  • R. A. Kempton
  • C. W. Howes

Abstract

The method of adjusting plot values by covariance on neighbouring plots is applied to the analysis of plant breeding trials. For cereal trials the method is shown to be very effective in reducing variation caused by spatial heterogeneity within replicates and generally performed about as well as a more conventional row and column lattice square analysis. Results obtained from trials with replicated standards suggest that the reduction in estimate of error variance truly reflects the increased accuracy of the estimates of variety means. The method may be used when plot values are affected by the particular varieties occurring in neighbouring plots, and is effective in adjusting for competition effects in sugar beet trials.

Suggested Citation

  • R. A. Kempton & C. W. Howes, 1981. "The Use of Neighbouring Plot Values in the Analysis of Variety Trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 30(1), pages 59-70, March.
    • Handle: RePEc:bla:jorssc:v:30:y:1981:i:1:p:59-70
    DOI: 10.2307/2346657
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2346657
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2346657?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
    ---><---

    Citations

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


    Cited by:

    1. Raegan Hoefler & Pablo González-Barrios & Madhav Bhatta & Jose A. R. Nunes & Ines Berro & Rafael S. Nalin & Alejandra Borges & Eduardo Covarrubias & Luis Diaz-Garcia & Martin Quincke & Lucia Gutierrez, 2020. "Do Spatial Designs Outperform Classic Experimental Designs?," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 523-552, December.
    2. Butler, Neil A., 1999. "The efficiency of ordinary least squares in designed experiments subject to spatial or temporal variation," Statistics & Probability Letters, Elsevier, vol. 41(1), pages 73-81, January.

    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:30:y:1981:i:1:p:59-70. 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.