动物医学进展2026，Vol.47Issue(8)：49-56,8.
我国五省区奶牛乳腺炎病原菌分布特征及耐药性分析
Bacterial Distribution and Antimicrobial Resistance of Bovine Mastitis in Five Provinces of China
摘要
Abstract
To investigate the composition and antimicrobial resistance characteristics of bacterial pathogens associated with bovine mastitis in different regions of China,and to provide a basis for scientific prevention and control and rational drug use.A total of 130 mastitic milk samples were collected from five provincial-level regions of China,including Shandong,Gansu,Hebei,Shanxi,and Inner Mongolia.The isolated strains were identified and subjected to antimicrobial susceptibility testing to analyze the distribution char-acteristics and resistance profiles of bacterial pathogens.A total of 100 bacterial isolates belonging to 19 genera were identified.Staphylococcus(n=34),Escherichia(n=15),and Streptococcus(n=12)were the predominant bacterial groups.Significant regional differences were observed in bacterial pathogen composi-tion and antimicrobial resistance profiles:Staphylococcus predominated in Shandong and Hebei,whereas Escherichia was the major bacterial group isolated in Inner Mongolia.Escherichia coli exhibited a resist-ance rate of 26.7％to ampicillin,while its susceptibility rates to amikacin,norfloxacin,ciprofloxacin,gentamicin,and polymyxin B were all 100％.Enterococcus faecalis showed multidrug resistance to tetracy-clines,aminoglycosides,and sulfonamides.Bacterial pathogens associated with bovine mastitis in five pro-vincial-level regions of China exhibit significant regional differences in distribution and varying degrees of antimicrobial resistance.Regional pathogen surveillance and antimicrobial susceptibility testing should be strengthened to develop targeted drug use strategies.关键词
奶牛乳腺炎/病原菌/区域分布/药物敏感性/多重耐药Key words
Bovine mastitis/Pathogen/Regional distribution/Antimicrobial susceptibility/Multidrug re-sistance分类
农业科技引用本文复制引用
李辰艳,李兴帅,赵泉杰,吕润坤,郑云睿,牛建蕊..我国五省区奶牛乳腺炎病原菌分布特征及耐药性分析[J].动物医学进展,2026,47(8):49-56,8.基金项目
山东省自然基金重大基础研究项目(ZR2019ZD21) （ZR2019ZD21）
