Growth curve fitting and correlation analysis of body weight and body measurements in Angus cattle

doi:10.3969/j.issn.1004-1524.2022.01.07

Acta Agriculturae Zhejiangensis ›› 2022, Vol. 34 ›› Issue (1): 50-59.DOI: 10.3969/j.issn.1004-1524.2022.01.07

• Animal Science • Previous Articles Next Articles

Growth curve fitting and correlation analysis of body weight and body measurements in Angus cattle

FENG Xiaofang¹(), JIANG Qiufei², FENG Yuan², WANG Yu², CHEN Yafei¹, MU Tong¹, LI Ming³, ZHOU Zihang¹, CAI Zhengyun¹, ZHANG Juan¹, GU Yaling¹^,^*()

1. Agricultural College, Ningxia University, Yinchuan 750021, China
2. Animal Husbandry Extension Station,Yinchuan 750001, China
3. Jiucai Township Haiyuan County People’s Government, Haiyuan 755200,Ningxia, China

Received:2021-05-18 Online:2022-01-25 Published:2022-02-05
Contact: GU Yaling

Abstract

Abstract:

The research was performed on Angus cattle to understand their growth and development patterns, and make relevant predictions to guide feeding management and improve breed selection. Logistic, Gompertz, and Von Bertalanffy models were used to fit the growth curves for weight and body size traits in Angus cattle from 0 to 18 months of age, and to choose the best growth curve model. The model was then applied to calculate relative growth (R) and absolute growth (G) of weight and body size, and simple correlation analysis was performed for each trait. The results showed that Von Bertalanffy model was the best fit for weight and body size traits, and the model estimated the inflection point of weight growth as (8.33 months of age, 245.13 kg). Growth pattern of each trait was analyzed, and it was found that the growing intensity of weight and body size traits decreased gradually with the increase of monthly age, and growth rate of weight reached the maximum from 0 to 10 months of age then decreased gradually. The correlation analysis among the traits showed a strong positive correlation between body weight and body size traits (P<0.01), indicating a positive selection relationship between body weight and body size traits. The above results demonstrated the advantages of early maturity and high early growth intensity and weight gain rate of Angus cattle.

Key words: Angus cattle, growth curve, relative growth, absolute growth, correlation analysis

CLC Number:

S823.8

FENG Xiaofang, JIANG Qiufei, FENG Yuan, WANG Yu, CHEN Yafei, MU Tong, LI Ming, ZHOU Zihang, CAI Zhengyun, ZHANG Juan, GU Yaling. Growth curve fitting and correlation analysis of body weight and body measurements in Angus cattle[J]. Acta Agriculturae Zhejiangensis, 2022, 34(1): 50-59.

Figures/Tables 7

References 32

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月龄 Month of age	数量 Numbers	体重 Body weight/kg	体高 Body height/cm	体斜长 Body length/cm	胸围 Chest girth/cm	腹围 Abdomen circumference/cm	管围 Shin circumference/cm	十字部高 Height at hip cross/cm
0	669	31.09±3.13	92.20±6.22	94.65±7.46	94.83±6.47	96.59±6.71	9.12±0.97	93.64±6.41
2	339	99.12±3.19	92.13±5.94	96.16±8.19	109.50±9.73	116.69±13.37	12.42±1.06	96.80±7.91
4	619	153.90±5.42	100.61±8.28	103.80±10.08	124.36±14.10	143.97±11.50	13.62±1.16	102.54±7.41
6	809	226.74±18.27	106.69±2.98	113.08±5.64	136.94±15.91	164.98±12.15	14.81±3.60	109.57±3.58
8	336	231.80±22.74	106.97±3.41	117.90±4.78	145.89±9.06	172.98±9.52	15.46±1.19	109.90±3.66
10	225	287.48±56.89	110.01±5.94	121.30±12.49	149.15±12.70	183.17±14.36	16.61±1.11	117.01±8.46
12	1 457	317.37±56.70	114.76±6.82	126.96±10.51	157.35±16.40	186.91±16.79	17.12±1.37	119.29±7.15
14	275	345.84±61.62	122.74±12.19	133.96±11.25	166.65±16.64	196.60±13.74	17.48±1.11	125.95±12.95
16	152	435.61±76.49	126.16±5.21	142.21±7.88	183.80±14.81	206.43±12.10	18.90±1.30	128.74±5.73
18	549	480.03±74.76	128.54±7.16	146.70±11.30	187.96±14.99	211.42±18.97	18.97±1.49	129.48±7.15

月龄 Month of age	数量 Numbers	体重 Body weight/kg	体高 Body height/cm	体斜长 Body length/cm	胸围 Chest girth/cm	腹围 Abdomen circumference/cm	管围 Shin circumference/cm	十字部高 Height at hip cross/cm
0	669	31.09±3.13	92.20±6.22	94.65±7.46	94.83±6.47	96.59±6.71	9.12±0.97	93.64±6.41
2	339	99.12±3.19	92.13±5.94	96.16±8.19	109.50±9.73	116.69±13.37	12.42±1.06	96.80±7.91
4	619	153.90±5.42	100.61±8.28	103.80±10.08	124.36±14.10	143.97±11.50	13.62±1.16	102.54±7.41
6	809	226.74±18.27	106.69±2.98	113.08±5.64	136.94±15.91	164.98±12.15	14.81±3.60	109.57±3.58
8	336	231.80±22.74	106.97±3.41	117.90±4.78	145.89±9.06	172.98±9.52	15.46±1.19	109.90±3.66
10	225	287.48±56.89	110.01±5.94	121.30±12.49	149.15±12.70	183.17±14.36	16.61±1.11	117.01±8.46
12	1 457	317.37±56.70	114.76±6.82	126.96±10.51	157.35±16.40	186.91±16.79	17.12±1.37	119.29±7.15
14	275	345.84±61.62	122.74±12.19	133.96±11.25	166.65±16.64	196.60±13.74	17.48±1.11	125.95±12.95
16	152	435.61±76.49	126.16±5.21	142.21±7.88	183.80±14.81	206.43±12.10	18.90±1.30	128.74±5.73
18	549	480.03±74.76	128.54±7.16	146.70±11.30	187.96±14.99	211.42±18.97	18.97±1.49	129.48±7.15

性状Traits	模型Model	A	B	k	P value	SS	R²
BW	Logistic	585.90	6.459 8	0.178 2	<0.000 1	6 397.00	0.992 6
	Gompertz	712.30	2.370 1	0.095 1	<0.000 1	4 936.90	0.994 3
	Von Bertalanffy	827.30	0.580 4	0.066 6	<0.000 1	4 365.50	0.994 9
BH	Logistic	113.50	1.811 4	0.034 1	<0.000 1	35.70	0.999 7
	Gompertz	131.10	1.512 1	0.014 7	<0.000 1	35.71	0.999 7
	Von Bertalanffy	156.40	0.475 3	0.008 2	<0.000 1	35.71	0.999 7
BL	Logistic	160.10	2.029 3	0.043 7	<0.000 1	25.28	0.999 8
	Gompertz	171.80	1.595 9	0.018 6	<0.000 1	25.19	0.999 8
	Von Bertalanffy	182.70	0.492 6	0.010 3	<0.000 1	25.17	0.999 8
CG	Logistic	229.80	1.324 8	0.096 7	<0.000 1	146.00	0.999 3
	Gompertz	251.60	0.941 9	0.063 7	<0.000 1	132.30	0.999 4
	Von Bertalanffy	264.00	0.281 7	0.052 7	<0.000 1	127.80	0.999 4
AC	Logistic	212.50	1.172 6	0.207 4	<0.000 1	148.50	0.999 5
	Gompertz	217.70	0.813 7	0.159 2	<0.000 1	118.10	0.999 6
	Von Bertalanffy	220.10	0.241 5	0.143 1	<0.000 1	111.00	0.999 6
SC	Logistic	19.35	0.953 1	0.181 8	<0.000 1	2.30	0.999 1
	Gompertz	19.68	0.700 6	0.146 1	<0.000 1	1.92	0.999 2
	Von Bertalanffy	19.83	0.211 6	0.134 1	<0.000 1	1.79	0.999 3
HC	Logistic	158.50	0.707 2	0.067 2	<0.000 1	19.25	0.999 9
	Gompertz	168.80	0.598 8	0.047 6	<0.000 1	19.12	0.999 9
	Von Bertalanffy	174.00	0.189 1	0.041 0	<0.000 1	18.73	0.999 9

性状Traits	模型Model	A	B	k	P value	SS	R²
BW	Logistic	585.90	6.459 8	0.178 2	<0.000 1	6 397.00	0.992 6
	Gompertz	712.30	2.370 1	0.095 1	<0.000 1	4 936.90	0.994 3
	Von Bertalanffy	827.30	0.580 4	0.066 6	<0.000 1	4 365.50	0.994 9
BH	Logistic	113.50	1.811 4	0.034 1	<0.000 1	35.70	0.999 7
	Gompertz	131.10	1.512 1	0.014 7	<0.000 1	35.71	0.999 7
	Von Bertalanffy	156.40	0.475 3	0.008 2	<0.000 1	35.71	0.999 7
BL	Logistic	160.10	2.029 3	0.043 7	<0.000 1	25.28	0.999 8
	Gompertz	171.80	1.595 9	0.018 6	<0.000 1	25.19	0.999 8
	Von Bertalanffy	182.70	0.492 6	0.010 3	<0.000 1	25.17	0.999 8
CG	Logistic	229.80	1.324 8	0.096 7	<0.000 1	146.00	0.999 3
	Gompertz	251.60	0.941 9	0.063 7	<0.000 1	132.30	0.999 4
	Von Bertalanffy	264.00	0.281 7	0.052 7	<0.000 1	127.80	0.999 4
AC	Logistic	212.50	1.172 6	0.207 4	<0.000 1	148.50	0.999 5
	Gompertz	217.70	0.813 7	0.159 2	<0.000 1	118.10	0.999 6
	Von Bertalanffy	220.10	0.241 5	0.143 1	<0.000 1	111.00	0.999 6
SC	Logistic	19.35	0.953 1	0.181 8	<0.000 1	2.30	0.999 1
	Gompertz	19.68	0.700 6	0.146 1	<0.000 1	1.92	0.999 2
	Von Bertalanffy	19.83	0.211 6	0.134 1	<0.000 1	1.79	0.999 3
HC	Logistic	158.50	0.707 2	0.067 2	<0.000 1	19.25	0.999 9
	Gompertz	168.80	0.598 8	0.047 6	<0.000 1	19.12	0.999 9
	Von Bertalanffy	174.00	0.189 1	0.041 0	<0.000 1	18.73	0.999 9

生长模型 Growth model	拐点体重 Inflection point weight/kg	拐点月龄 Inflection point age/month	最大月增重 Maximum daily gain/kg
Logistic	292.95	10.47	26.10
Gompertz	262.04	9.07	24.92
Von Bertalanffy	245.13	8.33	24.49

Growth curve fitting and correlation analysis of body weight and body measurements in Angus cattle

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性状 Traits		月龄Month of age
性状 Traits		0	2	4	6	8	10	12	14	16	18
BW	B	61.12	98.52	141.69	188.51	237.12	285.98	333.89	379.98	423.64	464.50
	G/kg	—	18.70	21.59	23.41	24.30	24.43	23.96	23.04	21.83	20.43
	R/%	—	0.61	0.44	0.33	0.26	0.21	0.17	0.14	0.11	0.10
BH	B	88.57	92.53	96.55	100.62	104.72	108.87	113.06	117.28	121.54	125.82
	G/cm	—	1.98	2.01	2.03	2.05	2.07	2.09	2.11	2.13	2.14
	R/%	—	0.04	0.04	0.04	0.04	0.04	0.04	0.04	0.04	0.04
BL	B	93.25	98.89	104.64	110.49	116.42	122.43	128.52	134.68	140.89	147.17
	G/cm	—	2.82	2.87	2.92	2.97	3.01	3.04	3.08	3.11	3.14
	R/%	—	0.06	0.06	0.06	0.05	0.05	0.05	0.05	0.05	0.04
CG	B	97.84	109.81	121.39	132.48	143.02	152.98	162.32	171.04	179.16	186.68
	G/cm	—	5.99	5.79	5.55	5.27	4.98	4.67	4.36	4.06	3.76
	R/%	—	0.12	0.11	0.09	0.08	0.07	0.06	0.05	0.05	0.04
AC	B	96.05	120.74	141.84	159.21	173.15	184.14	192.69	199.29	204.34	208.19
	G/cm	—	0.26	0.17	0.12	0.09	0.06	0.05	0.03	0.03	0.02
	R/%	—	0.26	0.17	0.12	0.09	0.06	0.05	0.03	0.03	0.02
SC	B	9.72	11.68	13.34	14.72	15.83	16.72	17.42	17.97	18.40	18.73
	G/cm	—	0.98	0.83	0.69	0.56	0.44	0.35	0.27	0.21	0.17
	R/%	—	0.20	0.14	0.10	0.08	0.06	0.04	0.03	0.02	0.02
HC	L	92.78	97.98	102.95	107.67	112.14	116.37	120.36	124.11	127.64	130.95
	G/cm	—	2.60	2.48	2.36	2.24	2.11	1.99	1.88	1.76	1.65
	R/%	—	0.06	0.05	0.05	0.04	0.04	0.03	0.03	0.03	0.03

性状Traits	BW	BH	BL	CG	AC	SC	HC
BW	1	0.982 7	0.990 5	0.994 8	0.969 5	0.971 3	0.984 2
BH	<0.000 1	1	0.993 9	0.984 3	0.956 3	0.941 0	0.990 6
BL	<0.0001	<0.000 1	1	0.990 9	0.960 0	0.949 0	0.989 3
CG	<0.000 1	<0.0001	<0.000 1	1	0.980 6	0.978 8	0.985 4
AC	<0.000 1	<0.000 1	<0.000 1	<0.0001	1	0.987 6	0.973 3
SC	<0.000 1	<0.000 1	<0.000 1	<0.0001	<0.000 1	1	0.964 5
HC	<0.000 1	<0.000 1	<0.000 1	<0.0001	<0.000 1	<0.000 1	1

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