• Contact Us
    • Send Feedback
    • Login
    View Item 
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    Whole Repository
    CollectionsIssue DateRegionCountryHubAffiliationAuthorsTitlesSubject
    This Sub-collection
    Issue DateRegionCountryHubAffiliationAuthorsTitlesSubject

    My Account

    Login

    Welcome to the International Institute of Tropical Agriculture Research Repository

    What would you like to view today?

    Efficiency of spatial analyses of field pea variety trials

    Thumbnail
    View/Open
    S04ArtYangEfficiencyInthomNodev.pdf (93.26Kb)
    Date
    2004
    Author
    Yang, R.C.
    Ye, T.Z.
    Blade, S.F.
    Bandara, M.
    Type
    Journal Article
    Journal Article
    Metadata
    Show full item record
    Abstract/Description
    Several spatial analyses of neighboring plots are now available for improving the precision of variety trials. The objective of this study was to evaluate the efficiency of three commonly used spatial analyses, a nearest neighbor adjustment (NNA), a least squares smoothing (LSS), and a first-order autoregressive model (AR1), in removing field trends from 157 field pea (Pisum sativum L.) variety trials tested in different growing zones across Alberta, Canada, during 1997 to 2001. All trials were conducted with a randomized complete block (RCB) design with three or four replications. A complete replication (block) was planted in a single field tier. Yield data from each of the 157 trials were subject to the conventional RCB analysis and the three spatial analyses. The LSS, NNA, and AR1 analyses removed an average of 22, 16, and 7% residual variation compared with the RCB analysis, respectively, but the amount of removal by the three analyses varied considerably among the trials. Each spatial analysis achieved more error reduction in 1997 and 1998, where trials contained larger block sizes than in 1999 to 2001, where trials contained smaller block sizes. The efficiency in spatial variation removal was great with large block sizes that involved large numbers of varieties. Furthermore, the LSS and NNA analyses were more effective in such removal than the AR1 analysis.
    https://doi.org/10.2135/cropsci2004.4900
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/4225
    Digital Object Identifier (DOI)
    https://doi.org/10.2135/cropsci2004.4900
    Agrovoc Terms
    Pea; Varieties; Spatial Analyses; Soil Fertility
    Collections
    • Journal and Journal Articles4835
    copyright © 2019  IITASpace. All rights reserved.
    IITA | Open Access Repository