Trait | Across Family | Within Family | Temporal |
---|
BLUP
|
ssGBLUP
|
BLUP
|
ssGBLUP
|
BLUP
|
ssGBLUP
|
---|
ADG
| 0.22 | 0.42 | 0.54 | 0.62 | 0.27 | 0.42 |
AFI
| 0.22 | 0.52 | 0.45 | 0.64 | 0.26 | 0.57 |
FCR
| 0.38 | 0.56 | 0.61 | 0.69 | 0.31 | 0.50 |
A
| 0.12 | 0.19 | 0.23 | 0.27 | 0.12 | 0.27 |
B
| 0.13 | 0.30 | 0.37 | 0.47 | 0.17 | 0.44 |
K
| 0.22 | 0.37 | 0.50 | 0.56 | 0.19 | 0.41 |
Fat
| 0.36 | 0.62 | 0.55 | 0.69 | 0.21 | 0.45 |
Muscle
| 0.31 | 0.58 | 0.51 | 0.66 | 0.31 | 0.55 |
lnvarweight
| 0.27 | 0.36 | 0.60 | 0.57 | 0.39 | 0.42 |
lnMSEweight
| 0.27 | 0.34 | 0.60 | 0.57 | 0.40 | 0.44 |
lnvarweight_standardized
| 0.20 | 0.34 | 0.49 | 0.52 | 0.26 | 0.34 |
Skewweight
| 0.00 | 0.12 | 0.23 | 0.23 | 0.12 | 0.23 |
Lag1weight
| 0.20 | 0.28 | 0.40 | 0.44 | 0.12 | 0.28 |
Straightness
| 0.25 | 0.38 | 0.58 | 0.58 | 0.36 | 0.48 |
Mean speed
| 0.29 | 0.40 | 0.53 | 0.60 | 0.31 | 0.49 |
lnMSEFI
| 0.33 | 0.52 | 0.62 | 0.68 | 0.41 | 0.58 |
lnMSEdur
| 0.39 | 0.60 | 0.56 | 0.68 | 0.53 | 0.71 |
lnMSEn_visit
| 0.37 | 0.53 | 0.59 | 0.64 | 0.42 | 0.53 |
QRFI
| 0.26 | 0.36 | 0.46 | 0.52 | 0.46 | 0.49 |
QRdur
| 0.32 | 0.47 | 0.52 | 0.60 | 0.45 | 0.60 |
- Predictive ability accuracy was estimated by dividing the predictive ability correlation by the square root of the estimated heritability. These predictive abilities as a correlation and standard deviation of these estimates are provided in Additional file 4: Table S2. For temporal masking, there was only one estimate, and hence, no standard deviation was calculated. BLUP: Best linear unbiased prediction. Genetic parameters estimated with pedigree relationships; ssGBLUP: single-step genomic BLUP: genetic parameters estimated with single-step genomic evaluation. ADG: average daily gain; AFI: average feed intake; FCR: feed conversion ratio; A, B and k: Gompertz growth curve parameters; lnvarweight: natural logarithm of variance of observed versus predicted weights; lnMSEweight: natural logarithm of mean squared error of weight in function of age; lnvarweight_standardized: natural logarithm of variance of standardized weights; skewweight: skewness of observed versus predicted weight distribution; lag1weight: lag1 autocorrelation of observed versus predicted weight distribution; straightness: straightness index of weight in function of age after trajectory analysis; mean speed: mean speed of weight in function of age after trajectory analysis; lnMSEFI: natural logarithm of mean squared error of feed intake in function of age; lnMSEdur: natural logarithm of mean squared error of visit duration in function of age; lnMSEn_visit: natural logarithm of mean squared error of number of daily visits in function of age; QRFI: number of days with feed intake below 5% of quantile after quantile regression; QRdur: number of days with visit duration below 5% of quantile after quantile regression