奶牛乳汁体细胞数的快速检测及其临床意义

本文用新型便携式体细胞计数仪C-Reader对奶牛乳汁体细胞数(SCC)进行快速、精确地检测,同时对乳样中的病原菌进行分离鉴定,旨在指导奶牛乳房炎的诊断、预防及治疗。选用北京及河北地区10个奶牛场的111头奶牛共428份奶样,进行SCC计数。SCC20万/mL的奶样占63.6%,SCC介于20万/mL～50万/mL的奶样占13.1%,SCC50万/mL占23.3%。检测的111头奶牛中,60头奶牛患有隐性乳房炎,头发病率54.1%,乳区发病率23.3%。隐性乳房炎SCC变化范围50.6万/mL～984.3万/mL。对隐性乳房炎乳样进行致病菌分离培养,其阳性率高达82.0%。共鉴定出100株致病菌,其中金黄色葡萄球菌64株,表皮葡萄球菌11株,大肠杆菌8株,链球菌10株,其他菌7株。结果表明,C-Reader计数仪能够快速准确地检测北京及河北地区的奶牛隐性乳房炎,其病原菌以金黄色葡萄球菌为主。     

乳房炎对中国荷斯坦牛测定日泌乳性能及体细胞数变化的影响

旨在研究乳房炎及病原菌组成对中国荷斯坦牛测定日泌乳性能及体细胞数变化的影响.本研究于2009年9月对江苏某奶牛场140头成年中国荷斯坦泌乳牛进行乳房炎检测和DHI测定,同时对隐性乳房炎阳性乳区进行病原菌分离鉴定,并分析了不同乳房炎类型和隐性乳房炎病原菌组成对测定日泌乳性能和乳中SCC变化的影响.结果表明,该牛场临床乳房炎、隐性乳房炎和正常奶牛比例分别为10.00％、51.10％和37.90％,其中隐性乳房炎以大肠杆菌和链球菌混合感染最多(19头,占26.00％),其次为链球菌单独感染(17头,占23.30％).由1种细菌单独感染的比例为26头(占36.11％),2种或2种以上细菌混合感染为44头(占61.11％).乳房炎类型对测定日产奶量、乳糖含量、体细胞数和体细胞评分4个指标影响达到极显著水平(P＜0.01),临床乳房炎和隐性乳房炎奶牛日产奶量和乳糖含量极显著低于正常奶,同时体细胞数和体细胞评分极显著高于正常奶,而临床乳房炎奶和隐性乳房炎奶在所有检测指标上均无显著差异,但临床乳房炎奶比隐性乳房炎奶体细胞数高出约100万·mL-1.不同病原菌组成类型对乳中体细胞数和体细胞评分有极显著影响(P＜0.01),而对其它性状无显著影响(P＞0.05).混合感染奶牛测定日产奶量极显著低于单独感染奶牛(P＜0.01),同时乳中体细胞数显著高于单独感染奶牛(P＜0.01).乳房炎类型对乳中SCC的变化趋势有显著影响(P＜0.01),正常奶牛维持较低SCC的能力较强,隐性乳房炎奶牛在下一泌乳月体细胞增加的可能性较大.不同隐性乳房炎病原菌组成类型对乳中SCC的变化无显著影响.奶牛生产中隐性乳房炎发病率高,危害性也最大,不同病原菌混合感染引起的隐性乳房炎对测定日产奶量和乳中体细胞数影响最大.该结果为奶牛场采取合理措施,降低隐性乳房炎发生率提供了参考.     

几种自制诊断液对奶牛隐性乳房炎的诊断效果

在杨凌区2个奶牛场随机采集198头荷斯坦牛的乳样,用杨凌隐性乳房炎诊断液(YMT)和其他2种自制诊断液(洗洁精、洗衣粉诊断液)检测奶牛隐性乳房炎发病情况,并以体细胞数检测(somatic cell counting,SCC)结果作为奶牛隐性乳房炎诊断的标准依据,分析3种自制诊断液的诊断效果。结果表明:YMT、洗洁精自制诊断液、洗衣粉诊断液检测结果与体细胞计数检测结果的符合率分别达83.84%、55.05%和57.07%,说明3种诊断液均可用于奶牛隐性乳房炎的诊断,其中以YMT的诊断效果最佳。     

施立安喷撒卧床对奶牛隐性乳房炎及体细胞影响的观察

奶牛乳房炎是影响奶牛奶产量和牛奶质量的最重要疾病之一,可给奶牛养殖业带来巨大经济损失,仅隐性乳房炎所造成的经济损失即占乳房炎全部损失的70%[1]。牛奶中的细胞统称为体细胞,当乳腺发生感染时,大量的嗜中性粒细胞进入乳腺组织,从而引起乳中体细胞计数(SCC)的增加。因此,随时监测乳汁中体细胞的数量,可以动态估测奶牛乳腺的健康状况。而隐性乳房炎监测是判定牛群隐性乳房炎的发病情况。一般来说,体细胞数量的高低与     

河北地区隐性乳房炎的流行病学调查

为了研究河北地区隐性乳房炎的发病情况,试验采用乳房炎体细胞数间接测定法(BMT)和细菌培养技术对河北地区6个牛场的720份奶样进行隐性乳房炎筛查和病原微生物诊断。结果表明:720份乳样中有182份为隐性乳房炎乳样,发病率为25.3%;金黄色葡萄球菌、大肠杆菌、无乳链球菌和溶血葡萄球菌为引起河北地区奶牛隐性乳房炎发病的主要病原菌,其中金黄色葡萄球菌所占比例最大,为20.9%。     

乳酶LDH作为奶牛隐性乳房炎早期诊断指标的研究

为了筛选敏感的奶牛隐性乳房炎早期诊断指标,选择220头荷斯坦泌乳奶牛,分别采集乳汁进行体细胞计数和乳酸脱氢酶(LDH)活性测定.结果显示,隐性乳房炎奶牛乳汁中LDH活性显著高于健康奶牛(P＜0.05),乳汁体细胞数(SCC)与LDH活性呈正相关(r2=0.93).选择LDH活性>100 IU/L作为隐性乳房炎的判定阈值,诊断的敏感性为70%,特异性为82.3%,Jouden指数为0.52.结果提示,LDH可作为奶牛隐性乳房炎早期诊断指标.     

微生态制剂对奶牛乳成分和体细胞数的影响

试验旨在全面了解微生态制剂对奶牛隐性乳房炎的防治效果,为科学利用这一新型饲料添加剂提供理论依据。试验选用45头乳中体细胞数(SCC)小于100万个/ml的荷斯坦奶牛,随机分组为对照组(A)、试验B组和试验C组,每组15头,根据试验方案定期采集乳样,分析测定乳成分及SCC指标。试验结果表明,在奶牛日粮中添加微生态制剂,可在一定程度上改善乳品质,同时对降低乳中SCC,治疗和预防隐性乳房炎有一定的作用。     

中草药制剂对奶牛隐性乳房炎的防治效果

把乳体细胞数(SCC)大于50万个/ml的泌乳牛随机分为3组,分别用鱼腥草注射液、双黄连注射液、地丁菊莲注射液进行治疗。结果表明:3种中章药注射液对治疗隐性乳房炎均有一定的疗效,其中注射鱼腥草注射液后即产生较好的疗效且持续时间较长;3种中草药制剂可缓解乳腺炎性症状、降低乳SCC,对控制高SCC的隐性乳房炎发展成临床型乳房炎有积极的预防作用;在判定奶牛隐性乳房炎及其治疗效果时,分乳区测定SCC比用4乳区混合乳样测定SCC,其结果更为准确可靠。     

基于DHI平台开展奶牛乳房炎诊断及治疗效果的研究

为评估DHI中的体细胞值对奶牛乳房炎的预警作用,以湖南省DHI中心对宁乡某规模化奶牛场2019年3-4月份DHI数据为基础,结合乳房炎快速检测液,筛选临床或隐性乳房炎奶牛,确定为药物治疗效果试验组。采集筛选牛群奶样,进行细菌分离培养、鉴定,结合药敏实验开展针对性治疗,观察治疗效果。结果发现:从试验组奶样中均分离出各种乳房炎致病菌,其中主要是大肠杆菌和金黄色葡萄球菌;经敏感药物治疗后,患牛乳中体细胞数(SCC)下降极显著(P<0.01)。结论:体细胞数(SCC)作为DHI检测的一项重要指标,对奶牛乳房炎起到第一预警作用;DHI报告同时针对出现的问题提出相应的改进措施,以期使DHI成为牛场发现管理问题、增加养殖效益的有效工具,切实服务于奶牛场的实际生产。     

直接提取病原菌DNA检测奶牛隐性乳房炎试验

为研究奶牛隐性乳房炎主要致病菌的快速检测方法,本试验选取山西省太原市小店区某规模化奶牛场39头隐性乳房炎患牛,利用Chelex-100方法直接提取奶样金黄色葡萄球菌、大肠杆菌及停乳链球菌DNA进行检测。结果表明,利用Chelex-100方法直接提取奶样中病原菌DNA检测奶牛隐性乳房炎,具有简单、快速、经济、无污染、PCR敏感性高等优点,对PCR快速检测奶牛隐性乳房炎具有重要意义。     

奶牛隐性乳房炎病原菌的分离鉴定及药敏试验

为了解贵阳市某乳业有限公司奶牛场隐性乳房炎流行情况及其主要病原菌,采用CMT方法检出隐性乳房炎乳样后,对阳性乳样进行细菌分离与鉴定,同时对其主要病原菌进行了体外药敏试验。结果表明,该公司奶牛场隐性乳房炎的感染率为40％,主要病原菌为葡萄球菌属和链球菌属细菌,其敏感的抗菌药物有先锋V霉素、利福平、丙氟哌酸、氟哌酸、新霉素、卡那霉素、庆大霉素等,经临床用药观察,有效地控制了该公司奶牛场隐性乳房炎。     

我国规模牛场奶牛个体生鲜乳体细胞数水平及影响因素探析

本研究旨在探析我国规模奶牛场奶牛个体生鲜乳体细胞数（SCC）的水平、分布和影响因素。利用SAS9.0的GLM模型,统计分析覆盖16个省（市、区）,33个规模奶牛场,23 351头中国荷斯坦牛,从2007年至2009年连续3年的225 775条奶牛个体生鲜乳SCC检测记录。结果表明：奶牛个体生鲜乳SCC的总体均值为48×104cell/mL,标准差为117×104cell/mL,个体生鲜乳SCC波动范围较大;其中,77.9%的奶牛个体,其生鲜乳SCC小于50×104cell/mL,对群体混合样生鲜乳SCC的影响系数为0.26;11.3%的奶牛个体,其生鲜乳SCC介于50×104～100×104cell/mL之间,乳房处于隐性感染状态,对群体混合样生鲜乳SCC的影响系数为0.16;10.8%的奶牛个体,生鲜乳SCC大于100×104cell/mL,理论上乳房处于临床感染状态,对群体混合样生鲜乳SCC的影响系数为0.58。奶牛个体生鲜乳体细胞数评分（SCS）呈正态分布,与奶牛个体因素（产奶量、乳脂率、乳蛋白含量、胎次和泌乳阶段）和环境因素（泌乳月份、泌乳季节）差异极显著（P〈0.01）,与奶牛养殖区域、奶牛场差异不显著（P〉0.05）。我国规模奶牛场奶牛个体生鲜乳SCC主要在50×104cell/mL以下,依据影响参数能实现对生鲜乳SCC水平的调控。     

The use of Markov chain Monte Carlo for analysis of correlated binary data: patterns of somatic cells in milk and the risk of clinical mastitis in dairy cows

Two analytical approaches were used to investigate the relationship between somatic cell concentrations in monthly quarter milk samples and subsequent, naturally occurring clinical mastitis in three dairy herds. Firstly, cows with clinical mastitis were selected and a conventional matched analysis was used to compare affected and unaffected quarters of the same cow. The second analysis included all cows, and in order to overcome potential bias associated with the correlation structure, a hierarchical Bayesian generalised linear mixed model was specified. A Markov chain Monte Carlo (MCMC) approach, that is Gibbs sampling, was used to estimate parameters.

The results of both the matched analysis and the hierarchical modelling suggested that quarters with a somatic cell count (SCC) in the range 41,000–100,000 cells/ml had a lower risk of clinical mastitis during the next month than quarters <41,000 cell/ml. Quarters with an SCC >200,000 cells/ml were at the greatest risk of clinical mastitis in the next month. There was a reduced risk of clinical mastitis between 1 and 2 months later in quarters with an SCC of 81,000–150,000 cells/ml compared with quarters below this level. The hierarchical modelling analysis identified a further reduced risk of clinical mastitis between 2 and 3 months later in quarters with an SCC 61,000–150,000 cells/ml, compared to other quarters.

We conclude that low concentrations of somatic cells in milk are associated with increased risk of clinical mastitis, and that high concentrations are indicative of pre-existing immunological mobilisation against infection. The variation in risk between quarters of affected cows suggests that local quarter immunological events, rather than solely whole cow factors, have an important influence on the risk of clinical mastitis. MCMC proved a useful tool for estimating parameters in a hierarchical Bernoulli model. Model construction and an approach to assessing goodness of model fit are described.     

The interrelationships between milkability traits and subclinical mastitis in cows

The investigation was conducted during 2005-2006 on 4010 dairy cows. Having performed statistical data analysis, we determined that the lowest somatic cell count (SCC) in Red and Red-White cow population was obtained when the milking time was 5-6 min., milking speed was higher than 1.5 kg/min., high milk flow was from 2.51 to 4 kg/min., and in Black-White cow population having a milking time was higher than 7 min., milking speed was from 1.01 to 2 kg/min., a high milk flow --from 2.01 to 4 kg/min. (p<0.001). In Red and Red-White cow population with subclinical mastitis, milking time was longer and milking speed was slower than in healthy cows. High milk flow values were least in healthy Black-White cow population. This determines a more equal milk flow which is desired in milking cows mechanically. Most sensitive to udder infection are 1st lactation cows which have a higher milk flow. A larger phenotype correlation coefficient in Red and Red-White cow population was between the SCC and milking time (-0.089, p<0.01) and between high milk flow (0.086, p<0.01) and milk yield (-0.071, p<0.05). However in Black-White cow population, correlation was found between SCC and milk yield (-0.117, p<0.01) and milking speed (-0.110, p<0.01). Contagious mastitis pathogens were identified in Red and Red-White cow milk samples primarily from productive cows having a milking speed of 1.01-1.5 kg/min., and in Black-White cow population having a milking speed of 1.51-2.0 kg/min.     

Correlation Analysis between Somatic Cell Count and Some Milk Components in Milk of Dairy Buffalo Cows

Somatic cell count (SCC) is a test parameter for bovine mastitis and milk quality. In order to understand the correlation between SCC and some milk components in one buffalo dairy farm in Nanning area, 152 fresh milk samples at early lactation stage were randomly chosen and SCC, specific gravity(SP), protein, total solid and nonfat solid, lactose levels of milk were determined, correlation among them was analyzed. The results showed that 88.16% of samples had SCC less than 50×10⁴/mL, 1.97% of samples had SCC more than 10×10⁵/mL. SCC had an increasing trend with milk fat, but SCC had an increasing trend with the decrease of milk SP, milk protein, lactose, and nonfat solid level. There was a extremly significant negative correlation between SCC and lactose, between SCC and nonfat solid (P<0.01). In conclusion, SCC was not only significantly related to the milk lactose and nonfat solid level, but also associated with metabolic status of dairy buffalo cows postpartum.     

辽西地区规模化奶牛场奶牛乳房炎发病情况监测

[目的]为了摸清辽西地区规模化奶牛场奶牛隐性乳房炎发病情况,[方法]本研究应用美国加州奶牛乳房炎检测方法(California mastitis test, CMT)对规模化奶牛场奶牛定期采集奶样进行隐性乳房炎动态监测。通过临床检查和CMT方法对辽西地区5个规模化奶牛养殖场共1 326头泌乳期奶牛进行了隐性乳房炎的监测,[结果]统计结果显示,隐性乳房炎发病率高达41.25%,发病率以夏秋季节最高,随着年龄增大,胎次增多,泌乳增加,乳房炎的发病率增高。[结论]研究结果表明辽西地区奶牛乳房炎发病情况较为严重,需要规模化奶牛养殖场高度重视,同时为该地区奶牛场乳房炎的防控提供了理论依据。     

Lingual antimicrobial peptide and lactoferrin concentrations and lactoperoxidase activity in bovine colostrum are associated with subsequent somatic cell count

The present study was undertaken to examine whether potential levels of innate immune factors (lingual antimicrobial peptide (LAP), lactoferrin (LF) and lactoperoxidase (LPO)) in colostrum are associated with subsequent milk somatic cell count (SCC) in dairy cows. Quarter milk samples were collected daily for 1 week postpartum to measure LAP and LF concentrations and LPO activity. SCC in milk was determined weekly for 2 months postpartum and its correlations to concentrations of LAP and LF and LPO activity were examined. Only small variations of all immune factors were found among four udders in each individual cow, whereas there were great differences in these factors among cows. Negative correlation was detected only between LPO activity and mean and maximum SCC, whereas its relationship was not significant. LAP and LF concentrations were significantly correlated positively to mean, maximum and minimum SCC. These results suggest that the great difference in innate immune factors among animals and high LAP and LF concentrations in colostrum may be associated with subsequent high incidence of SCC increase.     

Intramammary treatment of clinical mastitis of dairy cows with a combination of lincomycin and neomycin, or penicillin and dihydrostreptomycin

AIM: To compare clinical and bacteriological cure rates of clinical mastitis following treatment with intramammary preparations containing either lincomycin and neomycin or penicillin and dihydrostreptomycin. METHODS: Cases of clinical mastitis were sourced from four seasonal-calving dairy herds in the central Waikato region of New Zealand during the first 120 days of lactation. Affected quarters were infused three times at 12 h intervals with either 333 mg lincomycin plus 100 mg neomycin (lin/neo; 197 glands),or 1,000 mg penicillin plus 500 mg dihydrostreptomycin (pen/DHS; 207 glands). Milk samples were collected for bacteriology from each quarter immediately before and approximately 21 days after initiation of treatment. Additionally, a composite milk sample from each cow was collected, on average, 54 days after enrolment for assessment of milk yield, composition and somatic cell count (SCC). The probability of bacterial cure was initially analysed using Chi-squared analysis, and factors that were associated (p<0.2) were offered to a reverse stepwise logistic regression model. Continuous variables (e.g. milk solids production and log10 SCC) were analysed using general linear models. RESULTS: A total of 404 quarters diagnosed with clinical mastitis, from 282 cows in the first 120 days of lactation, were included. Streptococcus uberis, coagulase-negative staphylococci and Staphylococcus aureus were isolated from 56.5%, 18.8% and 10.0% of the bacteriologically positive quarters. There was no difference in the bacteriological cure rate (76.7% vs 76.7%, OR=0.94; p>0.8), the log10 SCC (2.1, SE 0.1, vs 2.0, SE 0.1; p>0.3) or milk production (1.2, SE 0.1, vs 1.2, SE 0.1, kg milksolids/cow/day; p>0.7) between lin/neo vs pen/DHS treatments, respectively. However, the proportion of cows re-treated following initial treatment was higher for the lin/neo compared to pen/DHS-treated group (16.3% vs 5.2%, OR=3.46; p<0.05). CONCLUSIONS: No difference in bacteriological cure rate, milk production or SCC was evident between lin/neo and pen/DHS intramammary treatments for clinical mastitis in dairy cows during the first 120 days of lactation. KEYWORDS: Dairy cow, mastitis, intramammary, antibiotic, treatment, somatic cell count.     

An investigation of risk factors for nocardial mastitis in central Alberta dairy herds

A case-control study was undertaken during the summer of 1989 in central Alberta dairy herds to identify independent predictors of nocardial mastitis. Thirty-seven herds with nocardial mastitis were matched with control herds based on herd size, milk production, and enrolment in Alberta Dairy Herd Improvement Services. Control herds were considered free of nocardial mastitis based on negative cultures of four weekly bulk tank milk samples and one composite milk sample collected during the same period from each lactating cow in the herd. A detailed questionnaire on herd management was completed during farm visits. The use of blanket dry cow therapy was not found to be a risk factor for nocardial mastitis. Dry cow therapy with intramammary products containing neomycin and the use of multidose vials of dry cow medications were the only predisposing factors identified as being significantly associated with nocardial mastitis in central Alberta dairy herds. Use of neomycin as a dry cow therapy increased the odds of nocardial mastitis occurring in these dairy herds by 169 times.