Model evaluation of CVDS beef cow model in predicting total feed metabolizable energy intake of dams for a full production cycle, milk energy yield and progeny feed metabolizable energy intake during a 240-d nursing period, and dam biological efficiency
| Item . | MEL . | DMEI . | PFMEI . | DEFF . |
|---|---|---|---|---|
| RC β0 | 26.54 ± 87.24 | −3,000 ± 315 | 1,266 ± 114 | −6.49 ± 1.70 |
| RC β1 | 1.003 ± 0.083 | 1.487 ± 0.036 | 0.017 ± 0.065 | 1.345 ± 0.057 |
| r2 | 0.337 | 0.842 | 0.000 | 0.638 |
| Pr > F | 0.502 | <0.0001 | <0.0001 | <0.0001 |
| RMSE | 431.9 | 1,074 | 328.3 | 4.21 |
| RMSEP | 431.41 | 1,749 | 617 | 5.71 |
| CCC | 0.502 | 0.729 | 0.007 | 0.586 |
| Cb | 0.865 | 0.794 | 0.491 | 0.734 |
| MB | 29.99 ± 25.49 | 1,120 ± 76 | −440 ± 25 | 3.59 ± 0.25 |
| CD | 2.957 | 1.806 | 0.387 | 1.621 |
| MEF | 0.334 | 0.579 | −2.556 | 0.331 |
| Item . | MEL . | DMEI . | PFMEI . | DEFF . |
|---|---|---|---|---|
| RC β0 | 26.54 ± 87.24 | −3,000 ± 315 | 1,266 ± 114 | −6.49 ± 1.70 |
| RC β1 | 1.003 ± 0.083 | 1.487 ± 0.036 | 0.017 ± 0.065 | 1.345 ± 0.057 |
| r2 | 0.337 | 0.842 | 0.000 | 0.638 |
| Pr > F | 0.502 | <0.0001 | <0.0001 | <0.0001 |
| RMSE | 431.9 | 1,074 | 328.3 | 4.21 |
| RMSEP | 431.41 | 1,749 | 617 | 5.71 |
| CCC | 0.502 | 0.729 | 0.007 | 0.586 |
| Cb | 0.865 | 0.794 | 0.491 | 0.734 |
| MB | 29.99 ± 25.49 | 1,120 ± 76 | −440 ± 25 | 3.59 ± 0.25 |
| CD | 2.957 | 1.806 | 0.387 | 1.621 |
| MEF | 0.334 | 0.579 | −2.556 | 0.331 |
MEL, observed milk metabolizable energy (ME) yield; DMEI, observed dam ME intake; DEFF, observed biological efficiency (Mcal ME/kg WW); PFMEI, progeny preweaning feed ME intake; RC simple linear regression coefficient; r2, simple coefficient of determination; Pr > F, P-value for simultaneous test of intercept = 0 and slope = 1; RMSE, root mean square error; RMSEP, root mean square error of prediction; PRESS, predictive residual sum of squares; CCC, concordance correlation coefficient; Cb, bias correction factor; MB, mean bias; CD, coefficient of model determination; MEF, modeling efficiency statistic.
Model evaluation of CVDS beef cow model in predicting total feed metabolizable energy intake of dams for a full production cycle, milk energy yield and progeny feed metabolizable energy intake during a 240-d nursing period, and dam biological efficiency
| Item . | MEL . | DMEI . | PFMEI . | DEFF . |
|---|---|---|---|---|
| RC β0 | 26.54 ± 87.24 | −3,000 ± 315 | 1,266 ± 114 | −6.49 ± 1.70 |
| RC β1 | 1.003 ± 0.083 | 1.487 ± 0.036 | 0.017 ± 0.065 | 1.345 ± 0.057 |
| r2 | 0.337 | 0.842 | 0.000 | 0.638 |
| Pr > F | 0.502 | <0.0001 | <0.0001 | <0.0001 |
| RMSE | 431.9 | 1,074 | 328.3 | 4.21 |
| RMSEP | 431.41 | 1,749 | 617 | 5.71 |
| CCC | 0.502 | 0.729 | 0.007 | 0.586 |
| Cb | 0.865 | 0.794 | 0.491 | 0.734 |
| MB | 29.99 ± 25.49 | 1,120 ± 76 | −440 ± 25 | 3.59 ± 0.25 |
| CD | 2.957 | 1.806 | 0.387 | 1.621 |
| MEF | 0.334 | 0.579 | −2.556 | 0.331 |
| Item . | MEL . | DMEI . | PFMEI . | DEFF . |
|---|---|---|---|---|
| RC β0 | 26.54 ± 87.24 | −3,000 ± 315 | 1,266 ± 114 | −6.49 ± 1.70 |
| RC β1 | 1.003 ± 0.083 | 1.487 ± 0.036 | 0.017 ± 0.065 | 1.345 ± 0.057 |
| r2 | 0.337 | 0.842 | 0.000 | 0.638 |
| Pr > F | 0.502 | <0.0001 | <0.0001 | <0.0001 |
| RMSE | 431.9 | 1,074 | 328.3 | 4.21 |
| RMSEP | 431.41 | 1,749 | 617 | 5.71 |
| CCC | 0.502 | 0.729 | 0.007 | 0.586 |
| Cb | 0.865 | 0.794 | 0.491 | 0.734 |
| MB | 29.99 ± 25.49 | 1,120 ± 76 | −440 ± 25 | 3.59 ± 0.25 |
| CD | 2.957 | 1.806 | 0.387 | 1.621 |
| MEF | 0.334 | 0.579 | −2.556 | 0.331 |
MEL, observed milk metabolizable energy (ME) yield; DMEI, observed dam ME intake; DEFF, observed biological efficiency (Mcal ME/kg WW); PFMEI, progeny preweaning feed ME intake; RC simple linear regression coefficient; r2, simple coefficient of determination; Pr > F, P-value for simultaneous test of intercept = 0 and slope = 1; RMSE, root mean square error; RMSEP, root mean square error of prediction; PRESS, predictive residual sum of squares; CCC, concordance correlation coefficient; Cb, bias correction factor; MB, mean bias; CD, coefficient of model determination; MEF, modeling efficiency statistic.
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