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And field replicates need to be analyzed by P-NMR as much as possible, rather than compositing samples, to allow statistical analyses of P-NMR results along with other field data.
Future manipulations should also be done on a longer time scale, and the replicates need to be spread over larger areas to capture the natural variations within the ecosystems.
To maximize the proportion of loci that are causal to the phenotype among all enriched loci, population size and number of replicates need to be high.
Moreover, several replicates need to be performed to increase statistical significance and to detect small differences in gene expression [ 7, 8].
In a hypothetical RNA-seq experiment with 10000 expressed genes, 100 DEGs, 5 % FDR 80%% power, minimum average read count of 1, and maximum dispersion of 0.5, 99 replicates need to be sequenced to detect a DEG with two-fold differential expression [ 10].
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Based on this typical variability and a components-of-variance approach, the relative number of replicates needed to provide experiments of equivalent power and sensitivity was determined.
Finally, these results were used to determine the minimum number of isolates and replicates needed to obtain a reasonable estimation, i.e. inside the confidence interval, with a probability of 0.8, 0.9 and 0.95.
We then describe a practical approach, useful to both stove testers and designers, to assess the number of replicates needed to obtain useful data from previously untested stoves with unknown variability.
To determine the number of replicates needed for each eat mutant strain in the feeding assay, the pilot study data were used in a mixed effects model [32].
At higher heart rates still, the number of replicates needed continues to fall (Fig. 8).
We calculated the minimum number of replicates needed to have a robust loess procedure.
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