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The in vivo experiment data were analyzed according to a 4 × 4 Latin square design, following the model: Y_{ijk}, = mu, + T_{i}, + A_{j}, + P_{k} + varepsilon_{ijk} (2 where Y ij is the response variable, μ is the general mean, T i is the effect due to diet, A j is the animal effect, P k is the effect due to experimental period, and ε ijk is the random experimental error.
In the field experiment, data were analyzed on whether the plants became infected or not (0/1) and severity of infection measured as the percentage of infected leaves of all leaves on each host individual.
For the QTL validation experiment, data were analyzed with a linear mixed model using PROC MIXED in the SAS software package (SAS Institute Inc. 2003, Cary, NC) where block, row and column effects were treated as random.
GC_120 experiment data were analyzed using a mixed model procedure (Proc MIXED) in SAS due to an unbalanced design resulting from the fact that there were six plots of each of the controls per replication to monitor disease progression within a chamber, but only one plot of each sub-NIL.
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Experiment data was analyzed using pseudo-second-order kinetics, intra-particle diffusion, and film diffusion.
The effect of hydrostatic pressure on the pit corrosion behavior of Fe 20Cr alloy was investigated in 3.5% NaCl solution by means of potentiodynamic polarization and potentiostatic technology, and the experiment data was analyzed based on stochastic theory.
For in vitro experiments data were analyzed using Mann-Whitney's non-parametric ranking test (GraphPad Prism 5.01, GraphPad, San Diego, USA).
For in vitro experiments, data were analyzed using a paired Student's t test and differences were considered significant if 2-tailed p values were <0.05.
At the end of experiments, data were analyzed offline with pCLAMP 10.0.
In all experiments data were analyzed using the Student's t-test (p < 0.05).
For the animal and cell experiments, data were analyzed using SAS software (version 8.1; SAS Institute Inc., Cary, NC, USA), and the two-tailed Student's t-test was used to determine the significances of the results.
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