A comparison of analysis methods for late-stage variety evaluation trials

A - Papers appearing in refereed journals

Welham, S. J., Gogel, B. J., Smith, A. B., Thompson, R. and Cullis, B. R. 2010. A comparison of analysis methods for late-stage variety evaluation trials. Australian & New Zealand Journal of Statistics. 52 (2), pp. 125-149.

AuthorsWelham, S. J., Gogel, B. J., Smith, A. B., Thompson, R. and Cullis, B. R.
Abstract

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.

KeywordsStatistics & Probability
Year of Publication2010
JournalAustralian & New Zealand Journal of Statistics
Journal citation52 (2), pp. 125-149
Digital Object Identifier (DOI)doi:10.1111/j.1467-842X.2010.00570.x
Open accessPublished as non-open access
Funder project or codeMCB
Strategic statistical research for crop improvement (GRDC National Statistics Project - KP2)
FunderGrains Research and Development Corporation of Australia
Output statusPublished
Publication dates
Online25 May 2010
Copyright licensePublisher copyright
PublisherWiley
ISSN1369-1473

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