国际肉牛育种进展对我国地方黄牛遗传改良的启示

doi:10.19543/j.cnki.1673-4556.20260716.002

Abstract

Abstract:

As a foundational segment of the livestock industry, the beef cattle breeding sector contributed over 40% to the industry's development and represented a strategically vital and fundamentally core industry for the nation. Enhancing the independent innovation capability of livestock and poultry breeding was crucial for overcoming the "large but not strong" predicament of China's animal husbandry sector and for alleviating the issues of insufficient supply and high production costs in the beef cattle industry. However, China's beef cattle industry developed relatively late and from a limited foundation, and has long depended on the introduction of foreign breeds for crossbreeding improvement. This dependence led to the misconception that genetic improvement was synonymous with the use of exotic breeds, resulting in the decline of local yellow cattle populations and widespread disorder in crossbreeding practices. Despite considerable efforts, reliance on imported genetic resources has not been fundamentally reduced, posing a serious threat to national breeding security. China possessed abundant genetic resources for beef cattle, with 58 local yellow cattle breeds. Most of these breeds had unique advantages such as tolerance to roughage, strong stress resistance, and excellent meat quality, making them valuable materials for developing a distinctive beef cattle industry and revitalizing the national breeding sector. However, due to a long-term lack of systematic conservation, evaluation, and breeding investment, the progress in purebred selection and innovative utilization of local yellow cattle was slow. The weak joint breeding system, coupled with technological equipment and infrastructure lagged behind international advanced levels, and struggled to support the high-quality development of the modern beef cattle industry. This paper aimed to discuss the latest advancements in international beef cattle breeding, analyzed the key issues existing in the breeding of China's local yellow cattle, and explored future-oriented innovative pathways for genetic improvement. The review suggested that overcoming the current challenges in China's beef cattle breeding industry required breaking away from the path dependence of equating genetic improvement with the introduction of foreign breeds. It further highlighted the importance of exploiting the unique genetic resources of local yellow cattle, establishing joint breeding systems and national breeding data platforms, and promoting an independent breeding strategy driven by technological innovation, indigenous genetic resources, and organizational collaboration.

Key words: Beef cattle, Genetic improvement, Cooperative breeding, Germplasm resources, Purebred selection

CLC Number:

S823

Linsen Zan. International advances in beef cattle breeding as a reference for the genetic improvement of indigenous yellow cattle[J].Chinese Livestock and Poultry Breeding, 2026, 22(8): 10-18.

Figures/Tables 2

Fig. 1

Table 1

References 68

[1]	贾宏霞, 刘在霞, 周乐, 等. 基因组选择在肉牛中的研究进展[J]. 畜牧兽医学报, 2024, 55(9): 3757-3768.
	JIA H X, LIU Z X, ZHOU L, et al. Research progress of genomic selection in beef cattle[J]. Acta Veterinaria et Zootechnica Sinica, 2024, 55(9): 3757-3768.
[2]	童雄, 罗威, 闵力, 等. 基于全基因组SNPs分析陆丰黄牛和雷琼牛的群体结构与遗传多样性特征[J]. 中国农业科学, 2023, 56(14): 2798-2811.
	TONG X, LUO W, MIN L, et al. Population structure and genetic diversity of Lufeng cattle and Leiqiong cattle based on genome-wide SNPs[J]. Scientia Agricultura Sinica, 2023, 56(14): 2798-2811.
[3]	MEHRBAN H, LEE D H, MORADI M H, et al. Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture[J]. Genetics, Selection, Evolution, 2017, 49(1): 1.
[4]	MOTA L F M, ARIKAWA L M, SANTOS S W B, et al. Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle[J]. Scientific Reports, 2024, 14: 6404.
[5]	李宏伟, 王瑞军, 王志英, 等. 家畜基因组选择研究进展[J]. 遗传, 2017, 39(5): 377-387.
	LI H W, WANG R J, WANG Z Y, et al. The research progress of genomic selection in livestock[J]. Hereditas, 2017, 39(5): 377-387.
[6]	XIA X T, ZHANG S J, ZHANG H J, et al. Assessing genomic diversity and signatures of selection in Jiaxian Red cattle using whole-genome sequencing data[J]. BMC Genomics, 2021, 22(1): 43.
[7]	MIKKOLA M, DESMET K L J, KOMMISRUD E, et al. Recent advancements to increase success in assisted reproductive technologies in cattle [J]. Animal reproduction, 2024, 21(3): e20240031.
[8]	LIU Y, LIU S, SHENG H, et al. Revolutionizing cattle breeding: Gene editing advancements for enhancing economic traits [J]. Gene, 2024, 927: 148595.
[9]	佘一凡, 武青, 张春雷, 等. 中国黄牛mtDNA16SrRNA基因遗传多样性与系统进化分析[J]. 家畜生态学报, 2015, 36(12): 12-18.
	SHE Y F, WU Q, ZHANG C L, et al. Genetic diversity and phylogenetic analysis of mtDNA 16SrRNA gene of Chinese yellow cattle breeds[J]. Acta Ecologae Animalis Domastici, 2015, 36(12): 12-18.
[10]	SUVÁ M, BASTÓN J I, WIEDENMANN E A, et al. Use of an exogenous DNA-free system to generate MSTN-KO calves by CRISPR/Cas9 and SCNT[J]. Reproductive Biology, 2025, 25(3): 101050.
[11]	GIM G M, EOM K H, KWON D H, et al. Generation of double knockout cattle via CRISPR-Cas9 ribonucleoprotein (RNP) electroporation[J]. Journal of Animal Science and Biotechnology, 2023, 14(1): 103.
[12]	BEZEN R, EDAN Y, HALACHMI I. Computer vision system for measuring individual cow feed intake using RGB-D camera and deep learning algorithms[J]. Computers and Electronics in Agriculture, 2020, 172: 105345.
[13]	NECULAI-VALEANU A S, SANDULEANU C, POROSNICU I. From tradition to precision: leveraging digital tools to improve cattle health and welfare[J]. Frontiers in Veterinary Science, 2025, 12: 1549512.
[14]	金录国, 周奎良. 基于“物联网+人工智能”的肉牛养殖园区技术推广探究[J]. 中国牛业科学, 2024, 50(4): 73-76.
	JIN L G, ZHOU K L. Exploration of the promotion of beef cattle breeding park technology based on Internet of Things+Artificial intelligence[J]. China Cattle Science, 2024, 50(4): 73-76.
[15]	OJO A O, MULIM H A, CAMPOS G S, et al. Exploring feed efficiency in beef cattle: from data collection to genetic and nutritional modeling[J]. Animals, 2024, 14(24): 3633.
[16]	朱丽. 肉牛养殖大数据管理平台的实践与优化研究[D]. 南昌: 江西农业大学, 2025.
	ZHU L. Research management and implementation of a big platform for beef cattle breeding data[D]. Nanchang: Jiangxi Agricultural University, 2025.
[17]	MAIA DE SOUZA D, PETRE R, JACKSON F, et al. A review of sustainability enhancements in the beef value chain: state-of-the-art and recommendations for future improvements[J]. Animals, 2017, 7(3): 26.
[18]	GREENWOOD P L, GARDNER G E, FERGUSON D M. Current situation and future prospects for the Australian beef industry - A review[J]. Asian-Australasian Journal of Animal Sciences, 2018, 31(7): 992-1006.
[19]	史露露. 和牛基因组遗传变异的挖掘与选择信号分析[D]. 长春: 吉林大学, 2024.
	SHI L L. Mining and selection signal analysis of genetic variation in bovine genome[D]. Changchun: Jilin University, 2024.
[20]	GUARNIDO-LOPEZ P, PINNA D, MAEDA Y, et al. Phenotypic relationships between meat quality parameters and residual feed intake in Japanese black Wagyu cattle[J]. Journal of Animal Science, 2024, 102: skae192.
[21]	BEVACQUA R J, FERNANDEZ-MARTÍN R, SAVY V, et al. Efficient edition of the bovine PRNP prion gene in somatic cells and IVF embryos using the CRISPR/Cas9 system[J]. Theriogenology, 2016, 86(8): 1886-1896.e1.
[22]	WORKMAN A M, HEATON M P, VANDER LEY B L, et al. First gene-edited calf with reduced susceptibility to a major viral pathogen[J]. PNAS Nexus, 2023, 2(5): pgad125.
[23]	李心怡, 侯佳雯, 陈宁博, 等. 中国黄牛驯化与扩散的古DNA研究进展[J]. 中国牛业科学, 2025, 51(2): 55-59.
	LI X Y, HOU J W, CHEN N B, et al. Research progress of ancient DNA on the domestication and dispersion of Chinese yellow cattle[J]. China Cattle Science, 2025, 51(2): 55-59.
[24]	志莉, 国晓丹, 俞英, 等. 中国黄牛育肥性能影响因素及分子机理研究进展[J]. 动物营养学报, 2025, 37(11): 7264-7275.
	ZHI L, GUO X D, YU Y, et al. Research progress on influencing factors and molecular mechanisms of fattening performance in Chinese yellow cattle[J]. Chinese Journal of Animal Nutrition, 2025, 37(11): 7264-7275.
[25]	YU H W, ZHANG K, CHENG G, et al. Genome-wide analysis reveals genomic diversity and signatures of selection in Qinchuan beef cattle[J]. BMC Genomics, 2024, 25(1): 558.
[26]	全国畜牧业标准化技术委员会(SAC/TC 274). 秦川牛: GB/T 5797-2022 [S]. 中国标准出版社, 2022.
	National Technical Committee on Animal Husbandry of Standardization Administration of China (SAC/TC 274). Qinchuan cattle: GB/T 5797-2022 [S]. China Standards Press, 2022.
[27]	全国畜牧业标准化技术委员会(SAC/TC 274). 畜禽品种(配套系)　南阳牛: GB/T 2415-2026 [S]. 中国标准出版社, 2026.
	National Technical Committee on Animal Husbandry of Standardization Administration of China (SAC/TC 274). Livestock and poultry breeds (commercial lines) - Nanyang cattle: GB/T 2415-2026 [S]. China Standards Press, 2026.
[28]	国家畜禽遗传资源委员会. 中国畜禽遗传资源志·牛志[M].中国农业出版社, 2025.
	National Commission of Livestock and Poultry Genetic Resources. Animal genetic resources in China: Bovine[M]. China Agriculture Press, 2025.
[29]	YU H W, YU S C, GUO J T, et al. Comprehensive analysis of transcriptome and metabolome reveals regulatory mechanism of intramuscular fat content in beef cattle[J]. Journal of Agricultural and Food Chemistry, 2024, 72(6): 2911-2924.
[30]	马丽娜, 刘永进, 王锦, 等. 芯片技术在畜禽育种中的应用研究进展 [J]. 中国畜牧兽医, 2020, 47 (1): 98-106.
	MA L N, LIU Y J, WANG J, et al. Research Advance on Application of Chip Technology in Livestock and Poultry Breeding[J]. China Animal Husbandry & Veterinary Medicine, 2020, 47 (1): 98-106.
[31]	杨武才, 杨本顺, 刘文杰, 等. 中国黄牛保种、选育及产业化利用现状与发展建议 [J]. 中国畜禽种业, 2026, 22 (6): 1-11.
	YANG W C, YANG B S, LIU W J, et al. Current status and development recommendations of conservation, breeding, and industrial utilization of Chinese yellow cattle[J]. Chinese Livestock and Poultry Breeding, 2026, 22 (6): 1-11.
[32]	蔡保, 郭宪. 中国黄牛全基因组测序研究进展[J]. 中国畜禽种业, 2024, 20(10): 17-30.
	CAI B, GUO X. Research progress on whole genome sequencing of Chinese cattle[J]. The Chinese Livestock and Poultry Breeding, 2024, 20(10): 17-30.
[33]	陶宝成, 孙小飘, 潘仲敏, 等. 智能化技术在肉牛养殖中的应用与展望[J]. 吉林畜牧兽医, 2025, 46(9): 4-6.
	TAO B C, SUN X P, PAN Z M, et al. Application and prospect of intelligent technology in beef cattle breeding[J]. Jilin Animal Husbandry and Veterinary Medicine, 2025, 46(9): 4-6.
[34]	曹敬波. 肉牛养殖技术要点及相关问题解决对策[J]. 吉林畜牧兽医, 2023, 44(9): 11-12.
	CAO J B. Key points of beef cattle breeding technology and solutions to related problems[J]. Jilin Animal Husbandry and Veterinary Medicine, 2023, 44(9): 11-12.
[35]	马义诚, 袁理星, 叶治兵, 等. 分子育种技术研究进展及新疆肉牛分子育种现状[J]. 中国牛业科学, 2023, 49(3): 82-86.
	MA Y C, YUAN L X, YE Z B, et al. Progress of molecular breeding technology and current situation of molecular breeding in Xinjiang beef cattle[J]. China Cattle Science, 2023, 49(3): 82-86.
[36]	王雅漩, 周靖航, 李义书, 等. 和牛综合选择指数与育种应用研究进展[J]. 中国畜禽种业, 2025, 21(11): 90-102.
	WANG Y X, ZHOU J H, LI Y S, et al. Research progress of selection index and application in wagyu cattle breeding[J]. The Chinese Livestock and Poultry Breeding, 2025, 21(11): 90-102.
[37]	王勤倩, 高振东, 陆颖, 等. 全基因组重测序在中国地方黄牛上的研究进展[J]. 畜牧兽医学报, 2025, 56(5): 2026-2037.
	WANG Q Q, GAO Z D, LU Y, et al. Research progress of whole genome resequencing in Chinese indigenous cattle[J]. Acta Veterinaria et Zootechnica Sinica, 2025, 56(5): 2026-2037.
[38]	赵玉民, 李姣, 吴健, 等. 我国地方黄牛遗传改良概述[J]. 中国畜禽种业, 2021, 17(5): 98-99.
	ZHAO Y M, LI J, WU J, et al. Overview of genetic improvement of local yellow cattle in China[J]. The Chinese Livestock and Poultry Breeding, 2021, 17(5): 98-99.
[39]	邵良东. 黄牛品种的改良方法[J]. 现代畜牧科技, 2018(6): 59.
	SHAO L D. Improvement method of yellow cattle breed[J]. Modern Animal Husbandry Science & Technology, 2018(6): 59.
[40]	杨新月, 李耀坤, 柳广斌, 等. 引进肉牛品种在中国的杂交应用研究进展[J]. 家畜生态学报, 2018, 39(12): 85-89.
	YANG X Y, LI Y K, LIU G B, et al. Research progress on hybrid application of introduced beef cattle breeds in China[J]. Journal of Domestic Animal Ecology, 2018, 39(12): 85-89.
[41]	秦立红, 李姣, 吴健, 等. 地方黄牛遗传改良的现状和建议[J]. 中国畜禽种业, 2021, 17(11): 121-122.
	QIN L H, LI J, WU J, et al. Present situation and suggestions on genetic improvement of local yellow cattle[J]. The Chinese Livestock and Poultry Breeding, 2021, 17(11): 121-122.
[42]	李欣淼, 张子敬, 张华, 等. 我国地方黄牛种质资源创新与利用的研究进展[J]. 中国畜禽种业, 2022, 18(10): 42-45.
	LI X M, ZHANG Z J, ZHANG H, et al. Research progress on innovation and utilization of local yellow cattle germplasm resources in China[J]. The Chinese Livestock and Poultry Breeding, 2022, 18(10): 42-45.
[43]	范婷婷, 陈燕, 张路培, 等. 西门塔尔牛与我国地方黄牛的杂种优势预测分析[J]. 畜牧兽医学报, 2021, 52(3): 653-661.
	FAN T T, CHEN Y, ZHANG L P, et al. Prediction of heterosis between Chinese Simmental beef cattle and Chinese local cattle[J]. Acta Veterinaria et Zootechnica Sinica, 2021, 52(3): 653-661.
[44]	刘爽, 贺丽霞, 马钧, 等. 固原黄牛遗传背景及其体尺指数、肉用指数分析[J]. 畜牧兽医学报, 2023, 54(6): 2376-2388.
	LIU S, HE L X, MA J, et al. Analysis on genetic background and body size indexes and beef-purpose index of Guyuan cattle[J]. Acta Veterinaria et Zootechnica Sinica, 2023, 54(6): 2376-2388.
[45]	王鑫, 徐龙鑫, 杨丽娟, 等. 贵州水牛和贵州黄牛的屠宰性能与肉品质评价[J]. 贵州农业科学, 2025, 53(10): 45-53.
	WANG X, XU L X, YANG L J, et al. Evaluation on slaughtering performance and meat quality of Guizhou buffalo and Guizhou yellow cattle[J]. Guizhou Agricultural Sciences, 2025, 53(10): 45-53.
[46]	刘朝乐门, 敖日格乐, 王纯洁, 等. 高效生产优质雪花肉的研究进展[J]. 中国畜禽种业, 2024, 20(10): 86-95.
	LIU C, AO R, WANG C J, et al. Research progress on efficient production of high quality marbling beef[J]. The Chinese Livestock and Poultry Breeding, 2024, 20(10): 86-95.
[47]	崔俊豪, 张成兴, 谭吉哲, 等. 沃金黑牛与安格斯牛血清维生素A对大理石花纹等级影响的比较研究[J]. 中国兽医学报, 2025, 45(6): 1249-1259.
	CUI J H, ZHANG C X, TAN J Z, et al. Comparative study on effect of serum vitamin A in Woking black cattle and Angus cattle on marbling grade[J]. Chinese Journal of Veterinary Science, 2025, 45(6): 1249-1259.
[48]	马桢, 闫向民. 肉用褐牛与其他品种牛肉用性能及风味对比研究[J]. 中国牛业科学, 2025, 51(6): 52-66.
	MA Z, YAN X M. Comparative study on meat performance and flavor of brown beef cattle and other breeds[J]. China Cattle Science, 2025, 51(6): 52-66.
[49]	魏萌. 黄牛肉关键风味成分鉴定及其与肌原纤维蛋白的互作机制[D]. 北京: 中国农业科学院, 2023.
	WEI M. Identification of key flavor components of Chinese Yellow Cattle beef and the interaction mechanism with myofibrillar proteins[D]. Beijing: Chinese Academy of Agricultural Sciences， 2023.
[50]	李俊雅, 陈燕. 肉牛种业的昨天、今天和明天[J]. 中国畜牧业, 2021(14): 26-30.
	LI J Y, CHEN Y. Past, now and future of beef cattle breeding industry[J]. China Animal Industry, 2021(14): 26-30.
[51]	滑留帅, 王璟, 王二耀, 等. 中国黄牛育种的进展与思考[J]. 中国牛业科学, 2015, 41(5): 1-4.
	HUA L S, WANG J, WANG E Y, et al. Progresses and prospects of the yellow cattle breeding in China[J]. China Cattle Science, 2015, 41(5): 1-4.
[52]	谈成, 边成, 杨达, 等. 基因组选择技术在农业动物育种中的应用[J]. 遗传, 2017, 39(11): 1033-1045.
	TAN C, BIAN C, YANG D, et al. Application of genomic selection in farm animal breeding[J]. Hereditas, 2017, 39(11): 1033-1045.
[53]	马浩然, 张路培, 金生云, 等. 利用高密度SNP芯片评估中国地方肉牛品种基因组亲缘关系[J]. 畜牧兽医学报, 2023, 54(10): 4174-4185.
	MA H R, ZHANG L P, JIN S Y, et al. Assessment of the genomic relationships for Chinese indigenous beef cattle using high-density SNP chip[J]. Acta Veterinaria et Zootechnica Sinica, 2023, 54(10): 4174-4185.
[54]	杨鹏, 张华, 李欣淼, 等. 分子育种技术及其在中国黄牛育种中的应用[J]. 中国畜禽种业, 2022, 18(10): 37-41.
	YANG P, ZHANG H, LI X M, et al. Molecular breeding technology and its application in China yellow cattle breeding[J]. The Chinese Livestock and Poultry Breeding, 2022, 18(10): 37-41.
[55]	赵家豪, 刘贤, 张子敬, 等. 德南牛全基因组变异解析和功能基因挖掘[J]. 中国牛业科学, 2024, 50(3): 1-6.
	ZHAO J H, LIU X, ZHANG Z J, et al. Whole-genome variation analysis and functional gene mining of denan cattle[J]. China Cattle Science, 2024, 50(3): 1-6.
[56]	刘琪, 孙威, 韩吉雨, 等. 伊起牛智慧牧业生态系统的开发与应用[J]. 中国奶牛, 2024(5): 63-68.
	LIU Q, SUN W, HAN J Y, et al. Development and application of intelligent animal husbandry ecosystem[J]. China Dairy Cattle, 2024(5): 63-68.
[57]	万曾辉, 陈鲤文. 基于改进YOLOv8的奶牛体况评分方法[J]. 工业控制计算机, 2025, 38(12): 30-31, 34.
	WAN Z H, CHEN L W. Dairy cow body condition scoring method based on improved YOLOv8[J]. Industrial Control Computer, 2025, 38(12): 30-31, 34.
[58]	张伏, 王唯, 张国英, 等. 山羊坡地行走的步态分析[J]. 江苏农业科学, 2017, 45(8): 196-199.
	ZHANG F, WANG W, ZHANG G Y, et al. Gait analysis of goat walking on sloping land[J]. Jiangsu Agricultural Sciences, 2017, 45(8): 196-199.
[59]	赵慧兵, 王德重, 孙明明, 等. 浅谈肉牛智能化称重存在的问题与发展趋势[J]. 新疆农机化, 2021(5): 35-37.
	ZHAO H B, WANG D Z, SUN M M, et al. A brief discussion on existing problems and development trend of beef cattle intelligent weighing[J]. Xinjiang Agricultural Mechanization, 2021(5): 35-37.
[60]	张心怡, 赵佳乐, 魏金科, 等. 基于肉牛异常行为识别的智慧养殖系统[J]. 信息与电脑(理论版), 2023, 35(12): 136-139.
	ZHANG X Y, ZHAO J L, WEI J K, et al. Intelligent breeding system based on abnormal behavior recognition of beef cattle[J]. Information & Computer, 2023, 35(12): 136-139.
[61]	罗西尔, 卢小龙, 刘庆友, 等. 肉牛智慧养殖技术研究进展[J]. 华南农业大学学报, 2024, 45(5): 661-671.
	LUO X E, LU X L, LIU Q Y, et al. Research progress on intelligent farming techniques of beef cattle[J]. Journal of South China Agricultural University, 2024, 45(5): 661-671.
[62]	吴宇峰, 李一鸣, 赵远洋, 等. 基于计算机视觉的奶牛体况评分研究综述[J]. 农业机械学报, 2021, 52(S1): 268-275.
	WU Y F, LI Y M, ZHAO Y Y, et al. Review of research on body condition score for dairy cows based on computer vision[J]. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(S1): 268-275.
[63]	龙章成, 秦茂, 秦世新, 等. 湘西黄牛种质资源现状及发展建议[J]. 湖南畜牧兽医, 2022(1): 7-9.
	LONG Z C, QIN M, QIN S X, et al. Present situation and development suggestions of Xiangxi yellow cattle germplasm resources[J]. Hunan Journal of Animal Science & Veterinary Medicine, 2022(1): 7-9.
[64]	赵文军, 刘宇, 方文文, 等. 延黄牛CIDEC基因多态性及与肉质性状的相关性分析[J]. 中国畜牧杂志, 2024, 60(12): 133-139.
	ZHAO W J, LIU Y, FANG W W, et al. Genetic polymorphism of CIDEC gene in Yan cattle and its correlation with meat quality traits[J]. Chinese Journal of Animal Science, 2024, 60(12): 133-139.
[65]	佟彬, 张立, 李光鹏. 中国肉牛分子与基因修饰育种研究进展[J]. 遗传, 2017, 39(11): 984-1015.
	TONG B, ZHANG L, LI G P. Progress in the molecular and genetic modification breeding of beef cattle in China[J]. Hereditas, 2017, 39(11): 984-1015.
[66]	LI J W, MA W H, LI Q F, et al. Multi-view real-time acquisition and 3D reconstruction of point clouds for beef cattle[C]. //Computers and Electronics in Agriculture. ACM, 2022,197.
[67]	昝林森, 梅楚刚, 王洪程. 中国黄牛选育改良及肉牛种业发展建议[J]. 中国牛业科学, 2016, 42(6): 1-4.
	ZAN L S, MEI C G, WANG H C. Breeding and improvement of Chinese yellow cattle and suggestions on beef cattle industry[J]. China Cattle Science, 2016, 42(6): 1-4.
[68]	郭笑康, 葛志军, 王琳瑛. 品牌价值与区域产业链竞争力耦合机制及路径研究: 以固原黄牛产业为例[J]. 重庆科技大学学报(社会科学版), 2026(1): 18-32.
	GUO X K, GE Z J, WANG L Y. Research on the coupling mechanism and path of brand value and regional industrial chain competitiveness: with Guyuan yellow cattle industry as an example[J]. Journal of Chongqing University of Science and Technology (Social Science Edition), 2026(1): 18-32.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

品种 Breed		性别 Gender	体重 Body weight/kg	体斜长 Body length/cm	体高 Body height/cm	胸围 Chest circumference/cm
国外品种 Foreign variety	安格斯牛	公	646.7±53.0	168.1±10.0	132.4±5.0	202.6±12.4
	安格斯牛	母	446.1±46.2	149.4±14.0	130.8±7.7	182.3±10.3
	西门塔尔牛	公	726.5±99.1	163.3±12.1	138±4.9	212.3±11.0
	西门塔尔牛	母	464.0±51.2	148.1±8.0	130.8±4.6	184.6±8.4
	黑毛和牛	公	698.6±20.1	174.3±3.6	141.1±2.0	212.8±3.9
	黑毛和牛	母	435.0±43.4	162.0±8.9	127.1±3.1	193.3±7.1
国内品种 Domestic variety	秦川牛	公	415.2±23.4	147.6±9.5	127.3±8.5	175.3±15.5
	秦川牛	母	364.8±31.3	134.5±10.3	118.5±8.4	159.7±11.5
	南阳牛	公	456.3±72.9	145.1±8.1	139.6±6.9	186.7±11.5
	南阳牛	母	380.9±54.4	138.9±6.9	130.0±5.1	178.0±10.3

International advances in beef cattle breeding as a reference for the genetic improvement of indigenous yellow cattle

RichHTML

PDF (PC)

Abstract

Cite this article

share this article

Figures/Tables 2

References 68

Related Articles 15

Metrics

Comments

Recommended 0

[1]	Wucai Yang, Benshun Yang, Wenjie Liu, Zhenghai Zhou, Jianbing Tan, Xianya Kong, Linsen Zan. Current status and development recommendations of conservation, breeding, and industrial utilization of Chinese yellow cattle [J]. Chinese Livestock and Poultry Breeding, 2026, 22(8): 79-89.
[2]	Dou Feng, Hongyu Deng, Lining Wang, Jialun Yao, Lei He, Qinghua Quan, Qianqian He, Zhen Zhang. Research on current status and strategies of beef cattle development in Henan Province [J]. Chinese Livestock and Poultry Breeding, 2026, 22(8): 61-67.
[3]	Peng Peng, Tingyu Liu, Huifeng Zhao, Bowei Zhao, Suxia Li, Hua Xu, Shujing Li, Kun Wang. Current situation, existing problems and development suggestions for beef cattle genetic improvement in Hebei Province [J]. Chinese Livestock and Poultry Breeding, 2026, 22(8): 54-60.
[4]	Honghao Wang, Yanjie Liu, Yuanqing Zhang. Shanxi beef cattle breeding: Focus on the genetic improvement practices of "Taihang Cloud Cattle" [J]. Chinese Livestock and Poultry Breeding, 2026, 22(8): 48-53.
[5]	Di Bao, Ming Sun, Lihong Qin. Research on the progress of genetic improvement of beef cattle in Jilin Province [J]. Chinese Livestock and Poultry Breeding, 2026, 22(8): 42-47.
[6]	Xiaoyao Cao, Jiao Li, Ting Wang, Lanling Xiong, Xiangting Cai, Siyuan Feng, Zezhao Wang, Caihong Zheng, Yan Chen, Lupei Zhang, Xue Gao, Huijiang Gao, Bo Zhu, Junya Li. Progress and prospects for genetic improvement of beef cattle in China: The pathway to revitalizing the seed industry from "catching up" to "innovation" [J]. Chinese Livestock and Poultry Breeding, 2026, 22(8): 19-31.
[7]	Yunmei He, Zhuang Tian, Hongyan Zhao, Qiqige Wulan, Xiaoyan Wang, Gumala Wuri, Galangtu Jiri, Xiong Miao, Bin Liu. Breeding progress and industrial development of Inner Mongolia Albas cashmere goats [J]. Chinese Livestock and Poultry Breeding, 2026, 22(7): 83-91.
[8]	Xiangmin Yan, Juan Geng, Guangwei Yang, Zhen Ma, Liang Gao, Jianming Liu, Xixia Huang. Technological innovation paths and systematic new practices for beef cattle genetic improvement in Xinjiang [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 45-52.
[9]	Congcong Zhang, Hongliang Liu, Jun Wang, Qingdan Ren, Xiaotong Luo, Xuanyu Li, Chunyu Li, Jiwei Liu, Yongchao Zhu, Jian Wu. Thoughts and suggestions on genetic improvement measures and common issues for beef cattle in Jilin province [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 31-37.
[10]	Lisheng Miao, Congyong Wang, Yang Cao, Yumin Zhao. Development of the beef cattle seed industry and genetic improvement pathways [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 25-30.
[11]	Weisheng Chen, Liwang Li, Hua Peng. Research on the current status, historical evolution, and future development path of beef cattle industry in China [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 10-17.
[12]	Qingzheng Wang, Na Yang, Huie Wang, Ruihua Dang, Yinamujiang·Yalimaimaiti, Mubareke·Muhaimaite, Aierken·Alimu, Tuerdibake·Tuerxuntuoheti, Tianxin Zhao, Nurikayahan·Aili, Gemingguli·Muhatai. Current status of hybridization and breed conservation recommendations for Turpan fighting cocks [J]. Chinese Livestock and Poultry Breeding, 2026, 22(5): 116-124.
[13]	Zhao Xiaoqiang, Zhang Yuanqing. Thoughts on Developing Rural Beef Cattle Production: A Case Study of A Village, Wenshui County, Shanxi Province [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(7): 146-150.
[14]	Wang Ting, Zhu Bo, Wang Zezhao, Chen Yan, Xu Lingyang, Zhang Lupei, Gao Xue, Gao Huijiang, CaoYang, Zhao Yumin, Li Junya. History of the Development of Domestic and Foreign Breed Bull Auctions [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(7): 128-134.
[15]	Dou Yuting, Zhang Yuanxu, Li Jing, Wang Zezhao, Chen Yan, Xu Lingyang, Zhang Lupei, Gao Huijiang, Gao Xue, Li Junya, Li Hui, Zhu Bo. Research Progress on Hornless Traits of Beef Cattle [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(7): 61-67.