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Interactions between parameters were defined using the two-way analysis of variance (ANOVA) followed by subsequent one-way ANOVA and Student's t-test.
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Significant covariances between the studied parameters were defined by correlation matrices using the Pearson correlation coefficient (r) (P < 0.05) as an index of similarity.
The following parameters were defined between traits: the genetic correlation between direct effects was, the genetic correlation between maternal effects was and the phenotypic correlation between FE and SB for the same foaling was To estimate the different parameters, an MCMC Gibbs sampling was used with TM software (Legarra et al., 2011).
The priors of the partial repression scaling parameters were defined by uniform distributions between 0 and 1; the posterior distributions for these parameters are shown in Figure 5a.
Attenuation parameters were defined as stable if change was between −10% and +10%.
Third, a series of the docking parameters were defined.
Other parameters were defined above.
All other parameters were defined previously.
Kinetic models are used after the selection of parameters and when the relationships between those parameters are defined.
Uncertainty band in output parameters is defined between 95th and 5th percentile value.
Relationships between climate change and GEP parameters are defined for each scenario to consider their effects.
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CEO of Professional Science Editing for Scientists @ prosciediting.com