Augmented p-rep designs
Copyright policy )Augmented p-rep designs
Early generation variety trials are very important in plant and tree breeding programs. Typically many entries are tested, often with very little 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 p-rep designs, where a proportion of the test entries are replicated at each location; this can obviate the need for control plots. α-Designs are commonly used for replicated variety trials and we show how these can be adapted to produce efficient p-rep designs.
- Australian National University Australia
- University of Hohenheim Germany
plant physiology, statistical model, methodology, Breeding, P-rep designs, Applications of statistics to biology and medical sciences; meta analysis, Optimal statistical designs, \(\alpha \)-designs, Keywords: article, Research Design a-Designs, statistics, Research Design, breeding, Linear Models, Design of statistical experiments, Augmented designs, Plant Physiological Phenomena
plant physiology, statistical model, methodology, Breeding, P-rep designs, Applications of statistics to biology and medical sciences; meta analysis, Optimal statistical designs, \(\alpha \)-designs, Keywords: article, Research Design a-Designs, statistics, Research Design, breeding, Linear Models, Design of statistical experiments, Augmented designs, Plant Physiological Phenomena
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