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Table 3 Comparison of the reaction norm models according to the log-likelihood function (LogL) and Schwarz-Bayesian information criterion (BIC) for dry matter intake (DMI) and residual feed intake (RFI) in Nellore cattle

From: Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models

Model

PO

CRV

LogL

BIC

NP

Lin_hom

2

1

2988.3

3054.1

13

Lin_het_11

2

11

2805.9

3023.5

43

Lin_het_9

2

9

2811.3

2998.6

37

Lin_het_7

2

7

2830.0

2986.9

31

Lin_het_6

2

6

2819.0

2960.7

28

Lin_het_5

2

5

2853.2

2979.7

25

Qua_het_6

3

6

2823.6

3021.0

39

  1. Italic: model used; CRV: Residual variance classes; Lin_hom: linear model with homogeneous residual variance; Lin_het_11: linear model with eleven classes of residual variance; Lin_het_9: linear model with nine classes of residual variance; Lin_het_7: linear model with seven classes of residual variance; Lin_het_6: grouping the last two classes of residual variance; lin_het_5: model lin_het_7 grouping the last three classes of residual variance; Qua_het_6: quadratic model with six classes of residual variance