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Article
The analysis of crop cultivar breeding and evaluation trials: An overview of current mixed model approaches
Faculty of Informatics - Papers (Archive)
  • A B Smith, Wagga Wagga Agricultural Institute
  • Brian R Cullis, University of Wollongong
  • R Thompson, Rothamsted Research, UK
RIS ID
34296
Publication Date
1-1-2005
Publication Details

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

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.

Citation Information
A B Smith, Brian R Cullis and R Thompson. "The analysis of crop cultivar breeding and evaluation trials: An overview of current mixed model approaches" (2005) p. 449 - 462
Available at: http://works.bepress.com/bcullis/3/