Table 4

Predictive abilities for cross-validation within (W) or between (B) families for weight traits
Trait1 W6 W6m W10
Model2 W3 B4 W3 B4 W3 B5
(1) 0.62 0.15 0.62 0.15 0.53 0.19
(2) 100% 0.63 0.24 0.63 0.23 0.57 0.29
(2) 70% 0.65 0.26 0.65 0.26 0.58 0.31
(2) 40% 0.65 0.27 0.65 0.27 0.59 0.32
(2) 10% 0.64 0.24 0.64 0.25 0.58 0.33
(2) 7.5% 0.64 0.24 0.64 0.24 0.58 0.33
(2) 5% 0.64 0.22 0.64 0.23 0.57 0.31
(2) 2.5% 0.63 0.20 0.63 0.20 0.56 0.31
(3) 100% 0.64 0.25 0.64 0.25 0.58 0.31
(3) 70% 0.65 0.27 0.65 0.27 0.59 0.33
(3) 40% 0.65 0.27 0.65 0.27 0.59 0.34
(3) 10% 0.65 0.27 0.64 0.25 0.59 0.34
(3) 7.5% 0.65 0.26 0.64 0.25 0.59 0.34
(3) 5% 0.65 0.25 0.64 0.24 0.58 0.33
(3) 2.5% 0.64 0.24 0.63 0.23 0.57 0.31

1: Trait: W6 = Weight at week 6; W6m = Weight at week 6, missing maker genotypes were treated as 3rd allele; W10 = Weight at week 10.

2. Model: (1) = polygenic; (2) = genomic; (3) = polygenic and genomic; with 100/10/2.5% of the markers allowed to have an effect.

3. W: cross-validation within families (all s.e. ≤ 0.01).

4. B: cross-validation between families (all s.e. ≤ 0.03).

5. B: cross-validation between families (all s.e. ≤ 0.04).

Kapell et al.

Kapell et al. BMC Genetics 2012 13:42   doi:10.1186/1471-2156-13-42

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