期刊
AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
卷 52, 期 2, 页码 125-149出版社
WILEY
DOI: 10.1111/j.1467-842X.2010.00570.x
关键词
best linear unbiased predictor; heritability; mixed models; residual maximum likelihood; variety evaluation trials
资金
- Grains Research and Development Corporation of Australia
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.
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