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Linear mixed models for series of variety trials

Forkman, Johannes (2011). Linear mixed models for series of variety trials. Biuletyn Oceny odmian. 33 , 63-72
[Research article]

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When using linear mixed models for analysis of series of variety trials, the statistical inference space is dependent on the design of the series. In this paper, four inference spaces are recognized for one-year crop variety trials: single-year local, long-term local, single-year regional and long-term regional. In addition, different linear mixed models are appropriate for different designs. Five models are defined that are useful for 13 different types of series of variety trials. The standard statistical analysis includes estimation of variance components using the REML method and estimation of variety means by generalised least squares. Although this standard method gives the best linear estimates, provided correct variance components, the estimated differences between the test varieties and the control variety occasionally do not agree with yearly or local results. An alternative method is outlined, termed the control method, which does not have this problem.

Authors/Creators:Forkman, Johannes
Title:Linear mixed models for series of variety trials
Series Name/Journal:Biuletyn Oceny odmian
Year of publishing :2011
Page range:63-72
Additional Information:Biuletyn Oceny Odmian = Cultivar testing bulletin
Publication Type:Research article
Article category:Other scientific
Version:Accepted version
Full Text Status:Public
Subjects:Obsolete subject words > SOCIAL SCIENCES > Statistics, computer and systems science > Statistics
(A) Swedish standard research categories 2011 > 1 Natural sciences > 101 Mathematics > 10106 Probability Theory and Statistics
Keywords:Inference spaces, Linear mixed models, Series of variety trials, VCU testing
Permanent URL:
ID Code:8422
Department:(NL, NJ) > Dept. of Crop Production Ecology
Deposited By: Johannes Forkman
Deposited On:16 Nov 2011 15:34
Metadata Last Modified:02 Dec 2014 10:47

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