The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches

A - Papers appearing in refereed journals

Smith, A. B., Cullis, B. R. and Thompson, R. 2005. The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches. The Journal of Agricultural Science. 143 (6), pp. 449-462.

AuthorsSmith, A. B., Cullis, B. R. and Thompson, R.
Abstract

The analysis of series of crop variety trials has a long history with the earliest approaches being based on ANOVA methods. Kempton (1984) discussed the inadequacies of this approach, summarized the alternatives available at that time and noted that all of these approaches could be classified as multiplicative models. Recently, mixed model approaches have become popular for the analysis of series of variety trials. There are numerous reasons for their use, including the ease with which incomplete data (not all varieties in all trials) can be handled and the ability to appropriately model within-trial error variation. Currently, the most common mixed model approaches for series of variety trials are mixed model versions of the methods summarized by Kempton (1984). In the present paper a general formulation that encompasses all of these methods is described, then individual methods are considered in detail.

Year of Publication2005
JournalThe Journal of Agricultural Science
Journal citation143 (6), pp. 449-462
Digital Object Identifier (DOI)doi:10.1017/S0021859605005587
Open accessPublished as non-open access
Funder project or code513
Research in statistics relevant to biological processes
Output statusPublished
Publication dates
Online01 Dec 2005
Copyright licensePublisher copyright
ISSN0021-8596
PublisherCambridge University Press (CUP)

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