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The approach consists of two steps; running an orthogonal array based experiment using moment-matched levels of the input variables followed by a variance contribution analysis.
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Then, for a specific parameter, the variance contribution can be singled out of the model output by the characteristic frequency.
The weight of each factor was assigned using the total variance from factor analysis (the weight of each factor is assigned by the proportion of the variance contribution of each principal to the cumulative variance contribution of the four primary factors) [ 20].
For BPRHS, GCTA was conducted to replicate the significant variance contribution produced by the GOLDN population.
For each trait, GCTA was conducted in GOLDN to assess the genome-wide variance contribution of genotype by erythrocyte n-3 PUFAs to total phenotypic variance.
A "–gxe" option was used to estimate the variance contribution of GxE interaction in the GCTA.
To aid in the interpretation of the dominant source of the variance contribution in unit-variance PCA score plots, a loading value can be multiplied by the SD of its original spectral variable.
For GOLDN, GxE variance contribution to the total variance of T2D-related traits was estimated using a tool for Genome-wide Complex Trait Analysis (GCTA) [ 34].
The contribution of additive genetic effects to the variation of the analysed traits was estimated by a variance component analysis using the SOLAR program.
The industrial focus is motivated by the importance of attributing variance contributions to input factors.
When we further explore the heritability, or the amount of variance explained, by each group of effects, we find that, in a diallel breeding structure, the variance contributions of the groups interact.
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