Table 7.
Estimated intercept and slope of the regression between predictions and phenotypes in testing data sets, by trait and model for the milk technological traits1
| Trait2 and model | Intercept | % Intercept = 0 | Slope | % Slope = 1 |
|---|---|---|---|---|
| RCT, min | ||||
| PLS | 1.67 | 72 | 0.93 | 68 |
| MPLS | 1.14 | 76 | 0.95 | 76 |
| Bayes RR | 0.24 | 92 | 1.00 | 84 |
| Bayes A | 0.36 | 84 | 0.99 | 80 |
| Bayes B | 1.08 | 68 | 0.96 | 72 |
| CYCURD, % | ||||
| PLS | 1.21 | 64 | 0.92 | 60 |
| MPLS | 0.94 | 68 | 0.94 | 68 |
| Bayes RR | 0.68 | 76 | 0.96 | 76 |
| Bayes A | 0.67 | 72 | 0.96 | 68 |
| Bayes B | 0.86 | 48 | 0.94 | 56 |
| RECPROTEIN, % | ||||
| PLS | 10.24 | 48 | 0.87 | 48 |
| MPLS | 6.59 | 48 | 0.92 | 44 |
| Bayes RR | 2.61 | 64 | 0.97 | 68 |
| Bayes A | 3.00 | 64 | 0.96 | 64 |
| Bayes B | 6.88 | 40 | 0.91 | 44 |
| RECFAT, % | ||||
| PLS | 21.82 | 40 | 0.76 | 36 |
| MPLS | 11.56 | 56 | 0.87 | 56 |
| Bayes RR | 7.53 | 68 | 0.91 | 68 |
| Bayes A | 9.00 | 68 | 0.90 | 68 |
| Bayes B | 11.19 | 56 | 0.87 | 56 |
PLS = partial least squares regression; MPLS = modified partial least squares regression; Bayes RR = Bayes ridge regression; Intercept = mean of the intercept estimated between observed and predicted values (of each replicate) in 25 replicates; % Intercept = 0 is the percentage of times (over 25 replicates) in which the estimated 95% CI for the intercept included zero; Slope = mean of the slope estimated between observed and predicted values (of each replicate) in 25 replicates; % Slope = 1 is the percentage of times (on 25 replicates) in which the estimated 95% CI for the slope included 1.
RCT = rennet coagulation time, min; CYCURD = cheese yield, weight of fresh curd as a percentage of the milk processed by weight; RECPROTEIN = recovery of protein, protein of the curd as a percentage of the protein of the milk processed; RECFAT = recovery of fat, fat of the curd as a percentage of the fat of the milk processed.