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

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

LO	Model	Parameters estimates (Standard error)			Goodness of fit
LO	Model	A	b	c	R ²_adj	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

LO Lactation order, GT Gamma-type function, QD Quadratic model, ML Mixed log function, WL Wilmink model, R ²_adj Adjusted coefficient of determination, RMSE Root mean square error, AIC Akaike’s information criteria, BIC Bayesian Information Criteria

ISSN: 2055-0391