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Table 2 Lactation-wise non-linear modelling to average milk yield (kg/day) in Gir crossbred cows

From: Non-linear modelling to describe lactation curve in Gir crossbred cows

LO Model Parameters estimates (Standard error) Goodness of fit
A b c R adj 2 RMSE AIC BIC
1 GT 9.38 (0.45) 0.47 (0.10) 0.17 (0.03) 0.891 0.552 12.027 −10.091
  ML 17.53 (1.22) −9.69 (1.44) 7.94 (1.39) 0.893 0.548 11.889 −10.229
  WL 12.93 (0.88) −7.67 (2.03) −0.78 (0.12) 0.850 0.650 15.310 −6.808
  QD 8.54 (1.03) 0.32 (0.43) 0.07 (0.04) 0.679 0.949 22.862 0.744
2 GT 13.83 (0.72) 0.14 (0.12) 0.13 (0.03) 0.905 0.841 20.462 −1.656
  ML 18.49 (2.05) −6.25 (2.41) 2.82 (2.33) 0.887 0.917 22.192 0.074
  WL 12.83 (1.34) 0.60 (3.10) −0.76 (0.18) 0.866 0.994 23.797 1.679
  QD 14.03 (0.99) −1.27 (0.41) −0.04 (0.04) 0.889 0.906 21.951 −0.167
3 GT 15.45 (0.59) 0.43 (0.09) 0.21 (0.02) 0.960 0.666 15.776 −6.342
  ML 26.06 (1.82) −13.42 (2.14) 9.28 (2.07) 0.941 0.814 19.805 −2.313
  WL 17.76 (1.31) −6.64 (3.02) −1.28 (0.18) 0.915 0.970 23.309 1.191
  QD 14.25 (1.3) −0.48 (0.54) 0.04 (0.05) 0.873 1.192 27.424 5.306
4 GT 17.42 (0.94) 0.42 (0.12) 0.22 (0.04) 0.929 1.029 24.491 2.373
  ML 27.97 (2.85) −13.74 (3.36) 8.97 (3.24) 0.891 1.277 28.811 6.692
  WL 18.8 (1.94) −5.42 (4.49) −1.36 (0.26) 0.861 1.439 31.195 9.077
  QD 16.60 (1.72) −1.04 (0.72) 0.01 (0.06) 0.833 1.581 33.079 10.96
5 GT 14.33 (0.95) 0.55 (0.15) 0.23 (0.04) 0.891 1.063 25.141 3.023
  ML 26.06 (2.81) −14.62 (3.31) 10.92 (3.20) 0.847 1.258 28.507 6.389
  WL 17.86 (1.91) −9.00 (4.41) −1.29 (0.26) 0.807 1.415 30.856 8.738
  QD 13.37 (1.88) −0.34 (0.79) 0.05 (0.07) 0.712 1.730 34.884 12.766
  1. LO Lactation order, GT Gamma-type function, QD Quadratic model, ML Mixed log function, WL Wilmink model, R adj 2 Adjusted coefficient of determination, RMSE Root mean square error, AIC Akaike’s information criteria, BIC Bayesian Information Criteria