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

Table 4.

Measures of predictive ability of MollyRum14 for methane yield (g CH4/kg DMI) 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 19.3 19.3 19.3 19.3 19.3 19.3 19.3 19.3 19.3
Mean predicted 18.0 17.2 16.3 18.7 17.9 17.2 18.9 18.1 17.4
Mean bias −1.3 −2.1 −3.0 −0.6 −1.4 −2.1 −0.4 −1.15 −1.9
RPE1 19.2 21.2 23.9 16.8 18.2 20.3 16.3 17.5 19.6
Error decomposition:
 % bias 13.1 27.3 41.4 3.3 14.9 29.6 1.5 11.6 26.4
 % slope 9.8 8.0 6.0 7.5 6.6 5.1 6.2 5.8 4.6
 % random 77.1 64.6 52.5 89.2 78.5 65.2 92.4 82.6 69.0
R 22 0.54 0.52 0.51 0.59 0.58 0.56 0.60 0.59 0.57
CCC3 0.55 0.49 0.42 0.66 0.62 0.56 0.69 0.65 0.59
RSR4 0.77 0.85 0.95 0.67 0.73 0.81 0.65 0.70 0.78

N = 43.

1RPE: Relative prediction error = (Root mean square prediction error RMSPE/mean observed) × 100. An RPE value of <10% indicates good predictive ability, between 10% and 20% reasonable predictive ability, and >20% poor predictive ability.

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.