Emma Cuttance, Richard Nortje, Richard Laven, Winston Mason
{"title":"一种新的基于培养的选择用于干牛治疗与基于体细胞计数的选择的比较:比较主要病原体的检出率和随后的乳房健康结果","authors":"Emma Cuttance, Richard Nortje, Richard Laven, Winston Mason","doi":"10.1017/S0022029925101180","DOIUrl":null,"url":null,"abstract":"<p><p>This study compared a culture-based protocol in which only cows identified as having intramammary infections due to major pathogens (major IMI) were treated with dry cow antibiotics (DCAT) compared with the current New Zealand somatic cell count (SCC) and mastitis-based algorithm. Healthy multiparous pregnant lactating cattle (<i>n</i> = 1541) were enrolled from three spring-calving New Zealand farms. A composite four-quarter milk sample was collected aseptically prior to the last milking before dry-off. Samples underwent standard culture and a culture using a novel, custom-made agar plate. Enrolled animals were classified as having a major IMI on 1) standard culture; 2) novel culture and 3) having SCC > 150,000 cells/ml at the last herd test and/or clinical mastitis (CM) in the current lactation. The sensitivity and specificity of novel culture and SCC/mastitis history for identifying cows with major IMI (compared with standard culture) were calculated. Cows were then blocked by standard culture results (major, minor or no growth) and randomly allocated to treatment based on either novel culture results (cult-SDCT) or SCC/mastitis history (alg-SDCT). Cows allocated to cult-SDCT whose novel culture result was major pathogen positive or contaminated received DCAT, while for alg-SDCT cows, all cows with either SCC > 150,000 cells/ml at the last herd test or CM in the current lactation received DCAT. The sensitivity (0.80 vs 0.67) and specificity (0.91 vs 0.81) for major IMI prediction were greater for cult-SDCT than alg-SDCT. After accounting for farm, age and dry-off SCC, alg-SDCT cows had marginal mean SCC at first herd test post-calving of 129,000 (95% CI 116-143,000) cells/ml, whereas the equivalent for cult-SDCT cows was 113,000 (95% CI 101-126,000) cells/ml. Compared to alg-SDCT, using cult-SDCT correctly identified a higher proportion of major IMI identified by standard culture and did not result in an increase in post-calving SCC.</p>","PeriodicalId":15615,"journal":{"name":"Journal of Dairy Research","volume":" ","pages":"1-10"},"PeriodicalIF":1.2000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of a novel culture-based selection for dry cow therapy with somatic cell count-based selection: comparing detection rates for major pathogens and subsequent udder health outcomes.\",\"authors\":\"Emma Cuttance, Richard Nortje, Richard Laven, Winston Mason\",\"doi\":\"10.1017/S0022029925101180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study compared a culture-based protocol in which only cows identified as having intramammary infections due to major pathogens (major IMI) were treated with dry cow antibiotics (DCAT) compared with the current New Zealand somatic cell count (SCC) and mastitis-based algorithm. Healthy multiparous pregnant lactating cattle (<i>n</i> = 1541) were enrolled from three spring-calving New Zealand farms. A composite four-quarter milk sample was collected aseptically prior to the last milking before dry-off. Samples underwent standard culture and a culture using a novel, custom-made agar plate. Enrolled animals were classified as having a major IMI on 1) standard culture; 2) novel culture and 3) having SCC > 150,000 cells/ml at the last herd test and/or clinical mastitis (CM) in the current lactation. The sensitivity and specificity of novel culture and SCC/mastitis history for identifying cows with major IMI (compared with standard culture) were calculated. Cows were then blocked by standard culture results (major, minor or no growth) and randomly allocated to treatment based on either novel culture results (cult-SDCT) or SCC/mastitis history (alg-SDCT). Cows allocated to cult-SDCT whose novel culture result was major pathogen positive or contaminated received DCAT, while for alg-SDCT cows, all cows with either SCC > 150,000 cells/ml at the last herd test or CM in the current lactation received DCAT. The sensitivity (0.80 vs 0.67) and specificity (0.91 vs 0.81) for major IMI prediction were greater for cult-SDCT than alg-SDCT. After accounting for farm, age and dry-off SCC, alg-SDCT cows had marginal mean SCC at first herd test post-calving of 129,000 (95% CI 116-143,000) cells/ml, whereas the equivalent for cult-SDCT cows was 113,000 (95% CI 101-126,000) cells/ml. 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引用次数: 0
摘要
本研究比较了一种基于培养的方案,其中只有被确定患有主要病原体(主要IMI)的奶牛才使用干奶牛抗生素(DCAT)治疗,与目前新西兰体细胞计数(SCC)和基于乳腺炎的算法进行了比较。从新西兰三个春季产犊农场招募了健康的多胎妊娠哺乳期牛(n = 1541)。在干燥前最后一次挤奶前,以无菌方式收集四分之一的复合牛奶样品。样品进行标准培养和使用新型定制琼脂板的培养。入选的动物在标准培养中被分类为具有主要IMI;2)新培养和3)在最后一次群体试验中SCC达到150000细胞/ml和/或当前哺乳期的临床乳腺炎(CM)。计算了新型培养物和SCC/乳腺炎史对鉴别重度IMI奶牛的敏感性和特异性(与标准培养物相比)。然后用标准培养结果(主要、次要或没有生长)阻断奶牛,并根据新培养结果(cult-SDCT)或SCC/乳腺炎病史(algg - sdct)随机分配到治疗组。分配到cult-SDCT组的奶牛,新培养结果为主要病原体阳性或被污染的奶牛接受DCAT,而对于algg - sdct组的奶牛,在最后一次群体试验中SCC值为150000细胞/ml或当前哺乳期CM的奶牛均接受DCAT。对于主要IMI预测,cult-SDCT的敏感性(0.80 vs 0.67)和特异性(0.91 vs 0.81)高于al - sdct。在考虑了农场、年龄和干枯SCC后,产犊后第一次牛群测试中,alg-SDCT奶牛的边际平均SCC为129,000 (95% CI 116-143,000)个细胞/ml,而cult-SDCT奶牛的等效值为113,000 (95% CI 101-126,000)个细胞/ml。与al - sdct相比,使用cult-SDCT正确识别出标准培养物中较高比例的主要IMI,并且不会导致产犊后SCC的增加。
Comparison of a novel culture-based selection for dry cow therapy with somatic cell count-based selection: comparing detection rates for major pathogens and subsequent udder health outcomes.
This study compared a culture-based protocol in which only cows identified as having intramammary infections due to major pathogens (major IMI) were treated with dry cow antibiotics (DCAT) compared with the current New Zealand somatic cell count (SCC) and mastitis-based algorithm. Healthy multiparous pregnant lactating cattle (n = 1541) were enrolled from three spring-calving New Zealand farms. A composite four-quarter milk sample was collected aseptically prior to the last milking before dry-off. Samples underwent standard culture and a culture using a novel, custom-made agar plate. Enrolled animals were classified as having a major IMI on 1) standard culture; 2) novel culture and 3) having SCC > 150,000 cells/ml at the last herd test and/or clinical mastitis (CM) in the current lactation. The sensitivity and specificity of novel culture and SCC/mastitis history for identifying cows with major IMI (compared with standard culture) were calculated. Cows were then blocked by standard culture results (major, minor or no growth) and randomly allocated to treatment based on either novel culture results (cult-SDCT) or SCC/mastitis history (alg-SDCT). Cows allocated to cult-SDCT whose novel culture result was major pathogen positive or contaminated received DCAT, while for alg-SDCT cows, all cows with either SCC > 150,000 cells/ml at the last herd test or CM in the current lactation received DCAT. The sensitivity (0.80 vs 0.67) and specificity (0.91 vs 0.81) for major IMI prediction were greater for cult-SDCT than alg-SDCT. After accounting for farm, age and dry-off SCC, alg-SDCT cows had marginal mean SCC at first herd test post-calving of 129,000 (95% CI 116-143,000) cells/ml, whereas the equivalent for cult-SDCT cows was 113,000 (95% CI 101-126,000) cells/ml. Compared to alg-SDCT, using cult-SDCT correctly identified a higher proportion of major IMI identified by standard culture and did not result in an increase in post-calving SCC.
期刊介绍:
The Journal of Dairy Research is an international Journal of high-standing that publishes original scientific research on all aspects of the biology, wellbeing and technology of lactating animals and the foods they produce. The Journal’s ability to cover the entire dairy foods chain is a major strength. Cross-disciplinary research is particularly welcomed, as is comparative lactation research in different dairy and non-dairy species and research dealing with consumer health aspects of dairy products. Journal of Dairy Research: an international Journal of the lactation sciences.