Leal Yepes Francisco A, Mann Sabine, Martens Elizabeth M, Velasco-Bolaños Juan, Ceballos-Marquez Alejandro, Puerto Sergio, Gómez Miguel I, McArt Jessica A A
Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Prev Vet Med. 2020 Jan;174:104855. doi: 10.1016/j.prevetmed.2019.104855. Epub 2019 Nov 20.
The increasing global demand for food requires sustainable solutions to close the gap in agricultural yield between industrialized and non-industrialized countries. Our objectives in this cross-sectional study were to: 1) characterize farm populations, milk yield, and early lactation management strategies of dairy cows in three different regions of Colombia, and 2) determine the association of these management strategies with blood β-hydroxybutyrate (BHB) concentrations in the first 42 days in milk (DIM). Dairy herds (n = 56) in the Antioquia, Caldas, and Cundinamarca regions of Colombia were visited once from May through July 2018. A survey was administered to farm owners to collect demographic, management, and herd nutrition information. Blood samples from dairy cows (n = 880) between calving and 42 DIM were used to measure blood BHB concentration. Associations between management and nutritional strategies and blood BHB concentration were examined using mixed models. Prevalence of hyperketonemia was calculated as the number of samples with BHB concentration ≥1.2 mmol/L divided by the total number of samples. The estimated diet composition for early lactation dairy cows was 65.5% pasture and 31.8% commercial concentrates. The farm median milk yield, protein concentration, and fat concentration were 21.0 kg (range = 13.1-36 kg), 3.2% (range = 2.7-4.1%), and 3.5% (range = 3.0-4.1%), respectively. Milk yield least squares means (95% confidence interval; CI) differed by region: 21.7 (20.3, 23.2), 18.5 (17.0, 20.2), and 20.3 (18.5, 22.4) kg in Antioquia, Caldas, and Cundinamarca, respectively. Median blood BHB concentration was 0.5 and ranged from 0.1-4.4 mmol/L; blood BHB concentration was not different among the three regions. Pasture fertilization, increased parity, and BCS were associated with changes in blood BHB concentration. The overall prevalence of hyperketonemia was 4.5%. Geographical region affected the prevalence of hyperketonemia at 2.5%, 4.0%, and 10.2% in Antioquia, Caldas, and Cundinamarca, respectively. Mean stocking density (95% CI) was greater in Cundinamarca than Antioquia or Caldas at 3.3 (2.2, 5.0), 2.8 (2.1, 3.9) and 1.7 (1.2, 2.6) animals per ha, respectively, and was associated with hyperketonemia prevalence. Farms that abruptly stop milking cows at dry-off had 80% of the hyperketonemia events in the study. Pasture-based dairies in Colombia had lower blood BHB concentrations and estimated milk yield compared with confined production systems in temperate zones. However, geographical region, stocking density, and abrupt cessation of milking at dry-off were associated with prevalence of hyperketonemia in pasture-based dairies.
全球对食物的需求不断增加,这就需要可持续的解决方案来缩小工业化国家和非工业化国家之间农业产量的差距。我们在这项横断面研究中的目标是:1)描述哥伦比亚三个不同地区奶牛场的牛群情况、产奶量和早期泌乳管理策略;2)确定这些管理策略与产犊后42天内牛奶中血β-羟基丁酸盐(BHB)浓度之间的关联。2018年5月至7月,我们对哥伦比亚安蒂奥基亚、卡尔达斯和昆迪纳马卡地区的奶牛场(n = 56)进行了一次走访。我们对农场主进行了一项调查,以收集人口统计学、管理和牛群营养信息。采集了产犊至产奶42天的奶牛(n = 880)的血样,用于测量血BHB浓度。使用混合模型研究管理和营养策略与血BHB浓度之间的关联。高酮血症的患病率计算方法为BHB浓度≥1.2 mmol/L的样本数量除以样本总数。早期泌乳奶牛的估计日粮组成是65.5%的牧场草料和31.8%的商业精饲料。农场的产奶量中位数、蛋白质浓度和脂肪浓度分别为21.0千克(范围 = 13.1 - 36千克)、3.2%(范围 = 2.7 - 4.1%)和3.5%(范围 = 3.0 - 4.1%)。不同地区的产奶量最小二乘均值(95%置信区间;CI)有所不同:安蒂奥基亚为21.7(20.3, 23.2)千克,卡尔达斯为18.5(17.0, 20.2)千克,昆迪纳马卡为20.3(18.5, 22.4)千克。血BHB浓度中位数为0.5,范围为0.1 - 4.4 mmol/L;三个地区的血BHB浓度没有差异。牧场施肥、胎次增加和体况评分与血BHB浓度变化有关。高酮血症的总体患病率为4.5%。地理区域影响高酮血症的患病率,安蒂奥基亚、卡尔达斯和昆迪纳马卡的患病率分别为2.5%、4.0%和10.2%。昆迪纳马卡的平均饲养密度(95% CI)高于安蒂奥基亚或卡尔达斯,分别为每公顷3.3(2.2, 5.0)头、2.8(2.1, 3.9)头和1.7(1.2, 2.6)头,且与高酮血症患病率有关。在干奶期突然停止挤奶的农场,在研究中出现了80%的高酮血症事件。与温带地区的圈养生产系统相比,哥伦比亚以牧场为基础的奶牛场血BHB浓度和估计产奶量较低。然而,地理区域、饲养密度和干奶期突然停止挤奶与以牧场为基础的奶牛场高酮血症患病率有关。