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Gilmour and Trinca (2012) introduce criteria for constructing optimal designs for statistical inference (and hence, provide for optimal selection of replicate design points).
As part of the technical replicate design, we analyzed LAU-Me275 on Affymetrix 6.0 SNP arrays.
They used an open, randomized, crossover and replicate design.
The above experiment was performed with replicate design but using charcoal/dextran-treated 10% FCS.
The 2010 field experiment consisted of 2572 inbred line entries and was arranged in an augmented single replicate design.
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Herbaceous weeds were controlled using tilling, herbicide and carbon-rich mulch in a split-plot replicated design.
Two protein supplements (FBS and fafBSA) and a macromolecule (PVP40) were compared in a 3 treatments × 9 replicates design.
The augmented partially replicated design usually performs satisfactorily in identifying truly active effects regardless of whether the effect sparsity principle holds.
The 2010 seed bank collection evaluation included 2572 inbred line entries and was arranged in an augmented, single-replicate design.
Additionally, a fully replicated design with all possible complimentary pairs of isolated novel genotypes in competition would be impractical.
A partially replicated design that re-randomised samples from the field, duplicated between 3% and 5% of cultivars, and included technical replicates, was used for the laboratory phase that tested for sugar release.
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