A comparison of analysis methods for late-stage variety evaluation trials
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.
| Item Type | Article |
|---|---|
| Open Access | Not Open Access |
| Keywords | Statistics & Probability |
| Project | Centre for Mathematical and Computational Biology (MCB), Strategic statistical research for crop improvement (GRDC National Statistics Project - KP2) |
| Date Deposited | 05 Dec 2025 09:43 |
| Last Modified | 19 Dec 2025 14:32 |
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picture_as_pdf - Welham_et_al-2010-Australian_&_New_Zealand_Journal_of_Statistics.pdf
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