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Therefore, trait-specific weighting factors should be used in the single-step blending methods and the GBLUP methods with a polygenic effect.
The objective of this study was to compare single-step blending methods and GBLUP methods with and without adjustment of the genomic relationship matrix for genomic prediction of 16 traits in the Nordic Holstein population.
The weights ω ranging from 0.05 to 0.40 were used to construct G ω and G ω * for the single-step blending methods and for the GBLUP methods with a polygenic effect.
Table 4 reports validation reliabilities of GEBV from the two single-step blending methods and DGVω from the GBLUP method with a polygenic effect (the adjusted GBLUP method is shown as an example) for the 16 traits, with a relative weight ω = 0.20.
In order to test the effect of different weighting factors ω in forming Gω and H, eight values of ω between 0.05 and 0.40 were used for the two single-step blending methods and the two GBLUP methods with a polygenic effect.
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Abundant reports are available on the influence of blending methods on the co-combustion and co-gasification characteristics of petroleum coke and lignite.
Christensen et al. [ 21] compared the adjusted and original single-step blending methods on pig data.
The two single-step blending methods led to less bias than the three GBLUP methods, and the two GBLUP methods with a polygenic effect resulted in less bias than the simple GBLUP method without a polygenic effect.
Unocal holds patents for some kinds of blending methods of reformulated gasoline.
In 1994, a survey of blending methods of this type was presented by Vida et al.
In addition, the two single-step blending methods led to smaller absolute deviation of the intercept from 0 than the adjusted GBLUP method, indicating less bias in mean.
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