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. 2018 Sep 5;96(12):5287–5299. doi: 10.1093/jas/sky354

Table 7.

Measures of predictive ability of MollyRum14 for ruminal acetate to propionate (A:P) ratios from sheep fed varying forages (sole diet), and the effect of substrate degradation rate (SLOW, MOD, or FAST) and fermentation stoichiometry (FS = 0 favors a more acetogenic fermentation, FS = 0.5 intermediate, FS = 1.0 favors a more propionogenic fermentation)

Variable SLOW Substrate degradation rate FAST
MOD
FS
0.0 0.5 1.0 0.0 0.5 1.0 0.0 0.5 1.0
Mean observed 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6
Mean predicted 1.9 1.7 1.6 1.9 1.8 1.6 1.9 1.7 1.6
Mean bias −0.6 −0.8 −1.0 −0.7 −0.8 −1.0 −0.7 −0.8 −1.0
Relative prediction error1 45.2 49.0 53.4 45.1 48.7 52.7 45.3 48.7 52.8
Error decomposition:
 % bias 30.4 43.2 54.0 31.3 43.0 53.1 32.1 43.5 53.3
 % slope 0.8 0.5 0.7 1.2 0.9 1.1 1.2 1.0 1.2
 % random 60.8 52.1 44.3 61.3 53.1 45.5 61.1 53.0 45.4
R22 0.02 0.01 0.01 0.01 0.00 0.00 0.01 0.01 0.00
CCC3 −0.04 −0.02 0.00 −0.03 −0.01 0.00 −0.03 −0.01 −0.01
RSR4 1.2 1.3 1.5 1.2 1.3 1.4 1.2 1.3 1.4

N = 20.

1RPE = (Root mean square prediction error RMSPE/mean observed) × 100 (a smaller value is better).

2 R 2 of the regression predicted vs. observed.

3Lin’s concordance correlation coefficient (closer to 1 is better).

4Ratio of RMSPE to standard deviation of observed values: <0.5, very good prediction; 0.5–0.75, good prediction; 0.75–1, moderate prediction; and >1.0, model needs improvement.