中国畜禽种业 ›› 2026, Vol. 22 ›› Issue (5): 101-107.doi: 10.19543/j.cnki.1673-4556.20260331.001

• 动物遗传育种 • 上一篇    下一篇

非遗传因素对安格斯牛生长和繁殖性状的影响及各性状间相关性分析

朱旭鑫1(), 郭鹏辉2, 彭程1, 孙国虎1, 李鸿呵2, 申玉华2, 郑娟善2, 裴生伟2, 冯小芳2()   

  1. 1.甘肃省畜牧技术推广总站,甘肃 兰州 730030
    2.西北民族大学生命科学与工程学院,甘肃 兰州 730030
  • 收稿日期:2025-10-09 出版日期:2026-05-26 发布日期:2026-06-17
  • 通讯作者: 冯小芳 E-mail:zhuxuxinfei@163.com;xiaofangf@yeah.net
  • 作者简介:朱旭鑫(1985—),男,甘肃张掖人,从事畜牧技术推广工作,E-mail:zhuxuxinfei@163.com
  • 基金资助:
    现代寒旱特色农业种业攻关和科技支撑储备项目(ZYGG-2025-10);西北民族大学校级创新团队项目

Effects of non-genetic factors on growth and reproductive traits of Angus cattle and correlation analysis among traits

Xuxin Zhu1(), Penghui Guo2, Cheng Peng1, Guohu Sun1, Honghe Li2, Yuhua Shen2, Juanshan Zheng2, Shengwei Pei2, Xiaofang Feng2()   

  1. 1.Gansu Provincial General Station of Animal Husbandry Technology Extension, Lanzhou, 730030, Gansu
    2.College of Life Science and Engineering, Northwest Minzu University, Lanzhou, 730030, Gansu
  • Received:2025-10-09 Online:2026-05-26 Published:2026-06-17
  • Contact: Xiaofang Feng E-mail:zhuxuxinfei@163.com;xiaofangf@yeah.net

摘要:

目的 该研究通过评估周岁重(Yearling weight, YW)与体况评分(Body condition score, BCS)对安格斯牛繁殖性能的影响,构建数据支撑体系,为安格斯牛核心群选育和制定科学合理的安格斯牛选种选育方案提供参考。 方法 该试验收集并整理2012—2023年宁夏地区6个安格斯牛规模化养殖场的安格斯牛2个生长发育性状和3个繁殖性状的记录信息,其中生长发育性状为YW和BCS,繁殖性状为初产日龄(Age at first calving, AFC)、初配月龄(Age at first service, AFS)和产犊间隔(Calving interval, CI)。使用SAS(9.2)分析了出生场-年效应和出生年-季效应对AFC、YW和BCS的影响,出生场-年效应、出生年-季效应、配种场-年效应和配种年-季效应对AFS的影响,以及出生场-年效应、出生年-季、配种场-年效应、配种年-季效应和胎次对CI的影响。 结果 通过两性状动物模型探索各性状间的遗传相关和表型相关。结果显示,非遗传因素对AFC、AFS、CI、YW和BCS均有极显著影响(P<0.01)。AFC与AFS呈中度的遗传相关性(0.45)和表型相关性(0.43),AFC与CI呈负的遗传相关性(-0.26)和表型相关性(-0.22)。生长发育性状(BCS、YW)与繁殖性状(AFC、AFS、CI)的遗传相关和表型相关结果显示,除BCS与CI(0.001)为弱的正相关外,其余生长发育性状(BCS、YW)与繁殖性状(AFC、AFS、CI)的遗传相关和表型相关均为负相关。YW与BCS呈强的正遗传相关(0.83)和表型相关(0.76)。 结论 综上,在环境效应较强的背景下,可通过限制周岁体重过快的上升速率,或利用早熟低体重母牛作为核心群亲本,间接缩短初产日龄与产犊间隔,从而实现安格斯牛繁殖效率的持续改良。

关键词: 安格斯牛, 繁殖性状, 周岁重, 体况评分, 遗传参数

Abstract:

Objective This study assessed the influence of yearling weight (YW) and body condition score (BCS) on the reproductive performance of Angus cattle, thereby establishing a data-driven support system. It provides a reference for the selection and breeding of the Angus core herd and the formulation of a scientifically sound Angus cattle selection and breeding program. Method Data was collected and organized on two growth traits—YW and BCS, and three reproductive traits—age at first calving (AFC), age at first service (AFS), and calving interval (CI)—from six large-scale Angus cattle farms in Ningxia between 2012 and 2023. Statistical analysis was conducted using SAS software (version 9.2) to examine the effects of birth farm-year interaction and birth year-season interaction on AFC, YW, and BCS; the effects of birth site-year interaction, birth year-season interaction, breeding farm-year interaction, and breeding year-season interaction on AFS; and the effects of birth farm-year interaction, birth year-season interaction, breeding site-year interaction, breeding year-season interaction, and parity on CI. The study utilized animal models to investigate the genetic and phenotypic correlations among various traits. Result The results demonstrated that non-genetic factors had highly significant effects (P<0.01) on age at AFC, age at AFS, CI, YW, and BCS. The genetic correlation between AFC and AFS was moderate (0.45), with a corresponding phenotypic correlation of 0.43. Conversely, AFC exhibited a negative genetic correlation (-0.26) and phenotypic correlation (-0.22) with CI. The analysis of growth traits (BCS, YW) and reproductive traits (AFC, AFS, CI) revealed that, except for a weak positive correlation between BCS and CI (0.001) (P<0.001), all other growth traits (BCS, YW) displayed negative genetic and phenotypic correlations with reproductive traits (AFC, AFS, CI). Notably, YW showed a strong positive genetic correlation (0.83) and phenotypic correlation (0.76) with BCS. Conclusion In conclusion, under conditions characterized by strong environmental influences, the reproductive efficiency of Angus cattle can be enhanced by either moderating the rate of annual weight gain or by selecting early-maturing, low-body-weight cows as foundational herd parents, thereby indirectly reducing the age at first calving and the calving interval.

Key words: Angus cattle, Reproductive traits, Yearling weight, Body condition score, Genetic parameters

中图分类号: 

  • S823

表1

安格斯牛繁殖性状、周岁重和体况评分描述性统计"

性状Traits数量N平均值Mean标准差SD变异系数CV/%最大值Max最小值Min
初产日龄AFC/d1026903.2310.2611.991119.00576.00
初配月龄AFS/月52916.752.4714.7523.0013.00
产犊间隔CI/d558386.6548.8112.62571.00303.00
周岁体重YW/kg1949428.5067.6615.79693.00305.00
体况评分BCS/分162384.546.818.0597.0061.00

表2

安格斯牛繁殖性状、周岁重和体况评分非遗传因素显著性检验结果(F值)"

性状Traits出生场-年Birth farms-year出生年-季Birth year-season胎次Parity配种场-年Service farms-year配种年-季Service year-season
初产日龄AFC72.44**58.36**
初配月龄AFS6.84**232.67**107.73**6.06**
产犊间隔CI15.98**30.98**20.26**
周岁体重YW58.45**184.62**
体况评分BCS32.70**20.91**

表3

安格斯牛各性状间的遗传相关和表型相关"

性状Traits初产日龄AFC初配月龄AFS产犊间隔CI周岁体重YW体况评分BCS
初产日龄AFC1.000.45-0.26-0.34-0.81
初配月龄AFS0.431.00--0.10-0.14
产犊间隔CI-0.22-1.00-0.15-0.02
周岁体重YW-0.11-0.13-0.051.000.83
体况评分BCS-0.79-0.250.0010.761.00
[1] THOMPSON L R, BECK M R, BUSKIRK D D, et al. Cow efficiency: modeling the biological and economic output of a Michigan beef herd[J]. Translational Animal Science, 2020, 4(3): txaa166.
[2] MIGLIOR F, FLEMING A, MALCHIODI F, et al. A 100-Year Review: identification and genetic selection of economically important traits in dairy cattle[J]. Journal of Dairy Science, 2017, 100(12): 10251-10271.
[3] WASIKE C B. Genetic evaluation of growth and reproductive performance of the Kenya Boran cattle[J]. MSc Thesis. Egerton University, 2006,108.
[4] CAVANI L, GARCIA D A, CARREÑO L O, et al. Estimates of genetic parameters for reproductive traits in Brahman cattle breed[J]. Journal of Animal Science, 2015, 93(7): 3287-3291.
[5] 王杰. 提升肉牛繁育效率的技术措施[J]. 畜牧业环境, 2025(11): 131-132.
WANG J. Technical measures to improve the breeding efficiency of beef cattle[J]. Animal Industry and Environment, 2025(11): 131-132.
[6] 杨明路, 张海亮, 罗汉鹏, 等. 基于智能项圈系统荷斯坦牛发情相关指标的遗传参数估计及全基因组关联分析[J]. 中国农业科学, 2023, 56(5): 995-1006.
YANG M L, ZHANG H L, LUO H P, et al. Estimation of genetic parameters and genome-wide association study of heated indicators in Holstein cattle based on collar-mounted device[J]. Scientia Agricultura Sinica, 2023, 56(5): 995-1006.
[7] 师睿, 李珊珊, 张海亮, 等. 中国荷斯坦牛繁殖性状的基因型与环境互作[J]. 畜牧兽医学报, 2024, 55(9): 3968-3977.
SHI R, LI S S, ZHANG H L, et al. Genotype by environment interaction of fertility traits for the Holstein cattle in China[J]. Acta Veterinaria et Zootechnica Sinica, 2024, 55(9): 3968-3977.
[8] ELER J P, BIGNARDI A B, FERRAZ J B, et al. Genetic relationships among traits related to reproduction and growth of Nelore females[J]. Theriogenology, 2014, 82(5): 708-714.
[9] MALHADO C H M, RAMOS A A, CARNEIRO P L S, et al. Estimativas de parâmetros genéticos para características reprodutivas e produtivas de búfalas mestiças no Brasil[J]. Revista Brasileira De Saúde E Produção Animal, 2009, 10(4): 830-839.
[10] LOPEZ B I, KIM T H, MAKUMBE M T, et al. Variance components estimation for farrowing traits of three purebred pigs in Korea[J]. Asian-Australasian Journal of Animal Sciences, 2017, 30(9): 1239-1244.
[11] BOLIGON A A, DE ALBUQUERQUE L G, MERCADANTE M E Z, et al. Study of relations among age at first calving, average weight gains and weights from weaning to maturity in Nellore cattle[J]. Revista Brasileira de Zootecnia, 2010, 39(4): 746-751.
[12] CHASAMA G L, HEPELWA A S, CHIBWANA F D, et al. Development of breeding objective for Tanganyika shorthorn zebu[J]. Tanzania Veterinary Journal, 2024, 38(2): 11-20.
[13] PFEIFER L F M, DE LIMA R A, NAKASHIMA S H, et al. Early versus late body condition score loss in dairy cows: reproductive performance[J]. Tropical Animal Health and Production, 2023, 55(3): 149.
[14] BINYAMEEN M, KHAN M I U R, HAQUE M N UL, et al. Effect of prepartum dietary energy level on production and reproduction in nili Ravi buffaloes[J]. Animals, 2022, 12(13): 1683.
[15] DEZETTER C, BIDAN F, DELABY L, et al. Association between body condition profiles, milk production, and reproduction performance in Holstein and Normande cows[J]. Journal of Dairy Science, 2024, 107(12): 11621-11638.
[16] 王淑辉. 肉牛线性外貌评定和不同经济类型牛评定方法的研究[D]. 杨凌: 西北农林科技大学, 2003.
WANG S H. Study on linear appearance evaluation of beef cattle and evaluation methods of different economic types of cattle[D]. Yangling: Northwest A & F University, 2003.
[17] 闫向民, 董明明, 付会英, 等. 非遗传因素对新疆褐牛肉用品系生长性状的影响[J]. 中国畜牧杂志, 2023, 59(11): 112-118.
YAN X M, DONG M M, FU H Y, et al. Effects of non-genetic factors on growth traits of Xinjiang brown beef lines[J]. Chinese Journal of Animal Science, 2023, 59(11): 112-118.
[18] 陈紫薇, 师睿, 罗汉鹏, 等. 宁夏地区荷斯坦牛青年牛繁殖性状遗传参数估计[J]. 畜牧兽医学报, 2021, 52(2): 344-351.
CHEN Z W, SHI R, LUO H P, et al. Estimation of genetic parameters of reproductive traits of Holstein heifers in Ningxia[J]. Acta Veterinaria et Zootechnica Sinica, 2021, 52(2): 344-351.
[19] ARMENGOL R, FRAILE L, BACH A. Key performance indicators used by dairy consultants during the evaluation of re-productive performance in a first visit[J]. Frontiers in Veterinary Science, 2022, 9: 871079.
[20] GAVAN C. Age of first calving and subsequent fertility and survival in Holstein Friesian cattle[J]. Scientific Papers Animal Science and Biotechnologies, 2014, 47(2): 37-40.
[21] GETAHUN K, TADESSE M, HUNDIE D. Analysis of genetic parameters for reproductive traits in crossbred dairy cattle maintained at holetta agricultural research center[J]. Asian Journal of Dairy and Food Research, 2020, 39(1): 10-16.
[22] HAILE A, JOSHI B K, AYALEW W, et al. Genetic evaluation of Ethiopian Boran cattle and their crosses with Holstein Friesian in central Ethiopia: milk production traits[J]. Animal, 2009, 3(4): 486-493.
[23] KUMAR A, MANDAL A, GUPTA A K, et al. Genetic evaluation of reproductive traits in Jersey crossbred heifers at an organized farm of eastern India[J]. Indian Journal of Animal Research, 2016: 619-624.
[24] REKSEN O, HAVREVOLL Ø, GRÖHN Y T, et al. Relationships among body condition score, milk constituents, and postpartum luteal function in Norwegian dairy cows[J]. Journal of Dairy Science, 2002, 85(6): 1406-1415.
[25] CARTHY T R, RYAN D P, FITZGERALD A M, et al. Genetic relationships between detailed reproductive traits and performance traits in Holstein-Friesian dairy cattle[J]. Journal of Dairy Science, 2016, 99(2): 1286-1297.
[26] BOURDON R M, BRINKS J S. Genetic, environmental and phenotypic relationships among gestation length, birth weight, growth traits and age at first calving in beef cattle[J]. Journal of Animal Science, 1982, 55(3): 543-553.
[27] BOLIGON A A, ALBUQUERQUE L G. Genetic parameters and relationships of heifer pregnancy and age at first calving with weight gain, yearling and mature weight in Nelore cattle[J]. Livestock Science, 2011, 141(1): 12-16.
[28] SCHMIDT P I, CAMPOS G S, LÔBO R B, et al. Genetic analysis of age at first calving, accumulated productivity, stayability and mature weight of Nellore females[J]. Theriogenology, 2018, 108: 81-87.
[29] LACERDA V V, CAMPOS G S, ROSO V M, et al. Effect of mature size and body condition of Nelore females on the reproductive performance[J]. Theriogenology, 2018, 118: 27-33.
上接第 100 页)
[30] 李金宝. 家禽生物多样性和保种前景[J]. 中国家禽, 2002, 24(20): 38-39.
LI J B. Biodiversity and conservation prospect of poultry[J]. China Poultry, 2002, 24(20): 38-39.
[31] 姜广礼. 拜城油鸡屠宰性状及肉品质的研究[D]. 乌鲁木齐: 新疆农业大学, 2011.
JIANG G L. Study on the slaughter characteristics and meat quality of Baicheng youji chicken[D]. Urumqi: Xinjiang Agricultural University, 2011.
[32] 张秀梅. 汶上芦花鸡和济宁百日鸡肉质特性的研究[D]. 泰安: 山东农业大学, 2014.
ZHANG X M. Characteristics between Wenshang studies on meat barred chickens and Jining bairi chickens[D]. Tai'an : Shandong Agricultural University, 2014.
[33] 沈益梓, 何丹林, 刘满清, 等. 3个配套系麻黄鸡屠宰性能比较和肉品质分析[J]. 养禽与禽病防治, 2019(10): 16-22, 15.
SHEN Y Z, HE D L, LIU M Q, et al. Comparison of slaughter performance and meat quality analysis of three mating lines of Ephedra chicken[J]. Poultry Husbandry and Disease Control, 2019(10): 16-22, 15.
[34] 冯敏, 金子笛, 刘喜魁, 等. 溧阳鸡生长曲线、屠宰性能及肉品质分析[J]. 中国畜禽种业, 2023, 19(8): 13-20.
FENG M, JIN Z D, LIU X K, et al. Study on the slaughtering traits and meat quality of Liyang chicken[J]. The Chinese Livestock and Poultry Breeding, 2023, 19(8): 13-20.
[35] 汪凯歌, 闫俊书, 宦海琳. 畜禽肌内脂肪沉积的基因调控及其作用机制[J]. 饲料工业, 2024, 45(14): 125-132.
WANG K G, YAN J S, HUAN H L. Gene regulation and mechanism of intramuscular fat deposition in livestock and poultry[J]. Feed Industry, 2024, 45(14): 125-132.
[1] 吕昕哲,齐格,赵和平,毛泽楠,朱凯. 奶牛繁殖性状的影响因素及其研究进展[J]. 中国畜禽种业, 2023, 19(9): 42-46.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!