1. A COMPARISON OF ANALYSIS METHODS FOR LATE-STAGE VARIETY EVALUATION TRIALS.
- Author
-
WELHAM, SUE J., GOGEL, BEVERLEY J., SMITH, ALISON B., THOMPSON, ROBIN, and CULLIS, BRIAN R.
- Subjects
- *
EVALUATION , *STATISTICS , *MATHEMATICAL models , *SIMULATION methods & models - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2010
- Full Text
- View/download PDF