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Type: Journal article
Title: A comparison of analysis methods for late-stage variety evaluation trials
Author: Welham, S.
Gogel, B.
Smith, A.
Thompson, R.
Cullis, B.
Citation: Australian and New Zealand Journal of Statistics, 2010; 52(2):125-149
Publisher: Blackwell Publ Ltd
Issue Date: 2010
ISSN: 1369-1473
Statement of
Sue J. Welham, Beverley J. Gogel, Alison B. Smith, Robin Thompson and Brian R. Cullis
Abstract: <jats:title>Summary</jats:title><jats:p>The statistical analysis of late‐stage variety evaluation trials using a mixed model is described, with one‐ or two‐stage approaches to the analysis. Two sets of trials, from Australia and the UK, were used to provide realistic scenarios for a simulation study to evaluate the different methods of analysis. This study showed that a one‐stage approach gave the most accurate predictions of variety performance overall or within each environment, across a range of models, as measured by mean squared error of prediction or realized genetic gain. A weighted two‐stage approach performed adequately for variety predictions both overall and within environments, but a two‐stage unweighted approach performed poorly in both cases. A generalized heritability measure was developed to compare methods.</jats:p>
Keywords: best linear unbiased predictor
mixed models
residual maximum likelihood
variety evaluation trials.
Rights: © 2010 Australian Statistical Publishing Association Inc. Published by Blackwell Publishing Asia Pty Ltd.
DOI: 10.1111/j.1467-842X.2010.00570.x
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Appears in Collections:Agriculture, Food and Wine publications
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