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The model including MY, P and B information provided the best prediction results (cross-validation statistics R = 0.68 and standard error = 57 g CH d ). The models developed accounted for more of the observed variability in CH emissions than previously developed models and thus were considered more robust. This approach is suitable for large-scale studies (e.g. animal genetic evaluation) where robustness is paramount for accurate predictions across a range of animal conditions. © 2020 Society of Chemical Industry. The models developed acc
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