Construction of more Flexible and Efficient P–rep Designs
Article first published online: 17 MAR 2014
© 2014 Australian Statistical Publishing Association Inc. Published by Wiley Publishing Asia Pty Ltd.
Australian & New Zealand Journal of Statistics
Volume 56, Issue 1, pages 89–96, March 2014
How to Cite
Williams, E.R., John, J.A. and Whitaker, D. (2014), Construction of more Flexible and Efficient P–rep Designs. Australian & New Zealand Journal of Statistics, 56: 89–96. doi: 10.1111/anzs.12068
- Issue published online: 17 APR 2014
- Article first published online: 17 MAR 2014
- Average efficiency factor;
- early generation variety trials;
- multi-location trials;
- upper bound
Early generation variety trials are very important in plant and tree breeding programs. Typically many entries are tested, often with very few resources available. Unreplicated trials using control plots are popular and it is common to repeat the trials at a number of locations. An alternative is to use partially replicated (p–rep) designs, where a proportion of the test entries are replicated at each location. We extend a method for the generation of p–rep designs based on α–arrays to allow for a much broader class of designs to be constructed. Updating procedures for the average efficiency factor and its upper bound are developed for application to the computer generation of efficient p–rep designs.