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The genomic estimated breeding values (GEBV) obtained from the prediction models were calculated as, 6 and the performances of the two models with all the marker data sets for each trait were compared using the prediction reliability.
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Within breed and trait, these three models were compared using the Bayesian Information Criterion BICC).
Leave traits (Nmass and LMA) were compared using analysis of variance followed by orthogonal contrasts.
Baseline characteristics between the salsalate and placebo groups were compared using t tests for continuous traits and χ or Fisher exact tests for categorical traits.
Traits of wild-type and transgenic lines were compared using the Tukey-Kramer method.
For traits that could not be evaluated using ANCOVA (i.e. due to significant interactions between temperature and age group), monthly cohorts were divided into three seasonal groups by temperature (winter, spring, summer) and the traits were compared among age groups using general linear model (GLM) techniques.
The percentage of growth (relative to control) for all evaluated traits was compared.
The three groups' personality traits were also compared using the questionnaire Basic Character Inventory (BCI).
These traits are compared to other books and rated based on similarities.
Trait correlation matrices for each species were compared to that of every other species, using matrix correlation analysis.
Results of multi-trait analyses were compared to those of single trait analyses and verified.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com