Scibus, Camden, NSW, Australia, 2570; Sydney Institute of Agriculture, School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camden, NSW, Australia, 2570.
Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada N1G 2W1.
J Dairy Sci. 2023 May;106(5):3155-3175. doi: 10.3168/jds.2022-22571. Epub 2023 Mar 7.
A multicenter observational study was conducted on early lactation Holstein cows (n = 261) from 32 herds from 3 regions (Australia, AU; California, CA; and Canada, CAN) to characterize their risk of acidosis into 3 groups (high, medium, or low) using a discriminant analysis model previously developed. Diets ranged from pasture supplemented with concentrates to total mixed ration (nonfiber carbohydrates = 17 to 47 and neutral detergent fiber = 27 to 58% of dry matter). Rumen fluid samples were collected <3 h after feeding and analyzed for pH, and ammonia, d- and l-lactate, and volatile fatty acid (VFA) concentrations. Eigenvectors were produced using cluster and discriminant analysis from a combination of rumen pH, and ammonia, d-lactate, and individual VFA concentrations and were used to calculate the probability of the risk of ruminal acidosis based on proximity to the centroid of 3 clusters. Bacterial 16S ribosomal DNA sequence data were analyzed to characterize bacteria. Individual cow milk volume, fat, protein, and somatic cell count values were obtained from the closest herd test to the rumen sampling date (median = 1 d before rumen sampling). Mixed model analyses were performed on the markers of rumen fermentation, production characteristics, and the probability of acidosis. A total of 26.1% of the cows were classified as high risk for acidosis, 26.8% as medium risk, and 47.1% as low risk. Acidosis risk differed among regions with AU (37.2%) and CA (39.2%) having similar prevalence of high-risk cows and CAN only 5.2%. The high-risk group had rumen phyla, fermentation, and production characteristics consistent with a model of acidosis that reflected a rapid rate of carbohydrate fermentation. Namely, acetate to propionate ratio (1.98 ± 0.11), concentrations of valerate (2.93 ± 0.14 mM), milk fat to protein ratio (1.11 ± 0.047), and a positive association with abundance of phylum Firmicutes. The medium-risk group contains cows that may be inappetant or that had not eaten recently or were in recovery from acidosis. The low-risk group may represent cattle that are well fed with a stable rumen and a slower rumen fermentation of carbohydrates. The high risk for acidosis group had lower diversity of bacteria than the other groups, whereas CAN had a greater diversity than AU and CA. Rumen fermentation profile, abundance of ruminal bacterial phyla, and production characteristics of early lactation dairy cattle from 3 regions were successfully categorized in 3 different acidosis risk states, with characteristics differing between acidosis risk groups. The prevalence of acidosis risk also differed between regions.
本研究对来自澳大利亚(AU)、加利福尼亚(CA)和加拿大(CAN)3 个地区的 32 个牧场的 261 头泌乳早期荷斯坦奶牛进行了一项多中心观察性研究,使用先前开发的判别分析模型将其酸中毒风险分为 3 组(高、中、低)。这些奶牛的日粮范围从补充精料的牧场到全混合日粮(非纤维碳水化合物=17-47%,中性洗涤纤维=27-58%干物质)。瘤胃液样本在饲喂后<3 小时采集,并分析 pH 值、氨、d-和 l-乳酸和挥发性脂肪酸(VFA)浓度。使用聚类和判别分析从瘤胃 pH 值、氨、d-乳酸和单个 VFA 浓度的组合中生成特征向量,并用于根据与 3 个聚类中心的距离计算瘤胃酸中毒风险的概率。对细菌 16S 核糖体 DNA 序列数据进行分析以表征细菌。从最近的牛群测试中获得每头奶牛的牛奶量、脂肪、蛋白质和体细胞计数值,该测试与瘤胃液采样日期最接近(中位数为瘤胃液采样前 1 天)。对瘤胃发酵、生产特性和酸中毒概率的标记物进行混合模型分析。共有 26.1%的奶牛被归类为酸中毒高风险,26.8%为中风险,47.1%为低风险。酸中毒风险在不同地区存在差异,AU(37.2%)和 CA(39.2%)的高风险奶牛患病率相似,而 CAN 仅为 5.2%。高风险组的瘤胃门、发酵和生产特征与酸中毒模型一致,反映了碳水化合物快速发酵。即乙酸丙酸比(1.98±0.11)、戊酸浓度(2.93±0.14mM)、乳脂蛋白比(1.11±0.047)和与厚壁菌门丰度呈正相关。中风险组包含可能食欲不振或最近未进食或正在从酸中毒中恢复的奶牛。低风险组可能代表饲养良好的牛,瘤胃稳定,碳水化合物发酵较慢。与其他组相比,酸中毒高风险组的细菌多样性较低,而 CAN 的多样性高于 AU 和 CA。来自 3 个地区的泌乳早期奶牛的瘤胃发酵谱、瘤胃细菌门的丰度和生产特性成功地分为 3 种不同的酸中毒风险状态,不同的风险组之间的特征也不同。不同地区的酸中毒风险发生率也存在差异。