安格斯牛体重和体尺性状生长曲线拟合与相关性分析

doi:10.3969/j.issn.1004-1524.2022.01.07

浙江农业学报 ›› 2022, Vol. 34 ›› Issue (1): 50-59.DOI: 10.3969/j.issn.1004-1524.2022.01.07

安格斯牛体重和体尺性状生长曲线拟合与相关性分析

冯小芳¹(), 蒋秋斐², 封元², 王瑜², 陈亚飞¹, 母童¹, 黎明³, 周子航¹, 蔡正云¹, 张娟¹, 顾亚玲¹^,^*()

1.宁夏大学农学院,宁夏银川 750021
2.宁夏畜牧工作站,宁夏银川 750001
3.海原县九彩乡人民政府,宁夏海原 755200

收稿日期:2021-05-18 出版日期:2022-01-25 发布日期:2022-02-05
通讯作者: 顾亚玲
作者简介:* 顾亚玲,E-mail: guyaling@sina.com
冯小芳(1993—),女,宁夏固原人,博士研究生,研究方向为动物遗传育种与繁殖。E-mail: xiaofangf@yeah.net
基金资助:
宁夏回族自治区畜牧工作站:宁夏安格斯牛核心群建设项目;宁夏自然科学基金(2021AAC03005)

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

摘要/Abstract

摘要：

为充分了解安格斯牛生长发育规律,指导饲养管理和提高品种选育,以安格斯牛为研究对象,通过Logistic、Gompertz和Von Bertalanffy 3种曲线模型对0~18月龄安格斯牛体重和体尺性状进行生长曲线拟合分析,并选出最佳生长曲线模型,利用该模型计算体重和体尺的相对生长(R)和绝对生长(G)情况,并对各性状进行简单的相关性分析。结果表明:Von Bertalanffy模型对体重和体尺性状均具有最佳的拟合效果,该模型估计的体重生长拐点为(8.33月龄、245.13 kg);分析各性状的生长发育规律发现,体重和体尺性状的生长强度随月龄的增加逐渐下降,且体重在0~10月龄生长速率达到最大,随后逐渐下降。各性状间的相关性分析表明,体重与体尺性状间均为极显著强正相关(P<0.01),表明体重和体尺性状存在正向选择关系。以上结果体现了安格斯牛早熟性和早期生长强度大、增重速率高的优势。

关键词: 安格斯牛, 生长曲线, 相对生长, 绝对生长, 相关分析

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

中图分类号:

S823.8

冯小芳, 蒋秋斐, 封元, 王瑜, 陈亚飞, 母童, 黎明, 周子航, 蔡正云, 张娟, 顾亚玲. 安格斯牛体重和体尺性状生长曲线拟合与相关性分析[J]. 浙江农业学报, 2022, 34(1): 50-59.

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.

图/表 7

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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

安格斯牛体重和体尺性状生长曲线拟合与相关性分析

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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