Additional file 6 of Modeling host-microbiome interactions for the prediction of meat quality and carcass composition traits in swine

Additional file 6: Table S11. Predictive ability of Loin depth for each fold at different complexities and stages and with different models. Table S12. Predictive ability of fat depth for each fold at different complexities and stages and with different models. Table S13. Predictive ability of carcass average daily gain for each fold at different complexities and stages and with different models. Table S14. Predictive ability of ham weight for each fold at different complexities and stages and with different models. Table S15. Predictive ability of loin weight for each fold at different complexities and stages and with different models. Table S16. Predictive ability of belly weight for each fold at different complexities and stages and with different models. Table S17. Predictive ability of intramuscular fat (%) for each fold at different complexities and stages and with different models. Table S18. Predictive ability of Minolta a* for each fold at different complexities and stages and with different models. Table S19. Predictive ability of Minolta b* for each fold at different complexities and stages and with different models. Table S20. Predictive ability of Minolta L* for each fold at different complexities and stages and with different models. Table S21. Predictive ability of pH for each fold at different complexities and stages and with different models. Table S22. Predictive ability of subjective color score for each fold at different complexities and stages and with different models. Table S23. Predictive ability of subjective marbling score for each fold at different complexities and stages and with different models. Table S24. Predictive ability of Subjective firmness score for each fold at different complexities and stages and with different models. Table S25. Predictive ability of slice shear force for each fold at different complexities and stages and with different models.