Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1 Canada.
Department of Population Medicine, University of Guelph, Guelph, ON, N1G 2W1 Canada.
J Dairy Sci. 2021 Jul;104(7):7971-7983. doi: 10.3168/jds.2020-20065. Epub 2021 Apr 23.
The objective of this study was to benchmark the herd-level housing and management strategies of automated milking system (AMS) farms across Canada and assess the associations of these herd-level housing factors and management practices with milk production and quality. Canadian AMS farms (n = 197; Western Canada: n = 50, Ontario: n = 77, Quebec: n = 59, Atlantic Canada: n = 11) were each visited once from April to September 2019, and details were collected related to barn design and herd management practices. Milk-recording data for the 6 mo before farm visits were collected. Farms averaged (± standard deviation) 110 ± 102 lactating cows, 2.4 ± 1.9 AMS units/farm, 47.5 ± 14.9 cows/AMS, 36.7 ± 5.0 kg/d of milk, 4.13 ± 0.34% fat, 3.40 ± 0.16% protein, and a herd-average somatic cell count of 186,400 ± 80,800 cells/mL. Farms mainly used freestall housing systems (92.5%), organic bedding substrates (73.6%), and free flow cow traffic systems (87.8%); farms predominantly milked Holsteins (90.4%). Multivariable regression models were used to associate herd-level housing factors and management practices with milk production and quality. At the herd level, feed push-up frequency (mean = 12.8 ± 8.3 times per day) and feed bunk space (mean = 64 ± 21.5 cm/cow) were positively associated with milk yield. Greater milk yield was associated with herds using inorganic (sand) versus organic bedding, milking Holsteins versus non-Holsteins, and using a form of mechanical ventilation versus natural ventilation alone. Milk fat and milk protein content were only associated with breed. Herds with lower somatic cell counts had more frequent alley cleaning (mean = 12.1 ± 7.5 times per day), wider lying alleys (mean = 304.5 ± 40.0 cm), and sand bedding. The results highlight the importance of using sand bedding, using mechanical ventilation, keeping feed pushed up, ensuring alleys are clean, and ensuring adequate space at the feed bunk for maintaining herd-level productivity and milk quality in farms with AMS.
本研究的目的是对加拿大各地自动化挤奶系统 (AMS) 农场的畜群水平的饲养和管理策略进行基准测试,并评估这些畜群水平的饲养因素和管理实践与产奶量和质量的关联。2019 年 4 月至 9 月,对加拿大的 197 个 AMS 农场(加拿大西部:50 个,安大略省:77 个,魁北克省:59 个,大西洋省份:11 个)进行了单次访问,并收集了有关谷仓设计和畜群管理实践的详细信息。收集了访问农场前 6 个月的牛奶记录数据。农场平均(±标准差)有 110 ± 102 头泌乳奶牛、2.4 ± 1.9 个 AMS 单元/农场、47.5 ± 14.9 头奶牛/AMS、36.7 ± 5.0 千克/天的牛奶、4.13 ± 0.34%的脂肪、3.40 ± 0.16%的蛋白质和平均 186,400 ± 80,800 个细胞/ml 的 herd-average 体细胞计数。农场主要使用自由站立式畜舍系统(92.5%)、有机垫料(73.6%)和自由流动的奶牛交通系统(87.8%);农场主要挤奶的是荷斯坦奶牛(90.4%)。多变量回归模型用于将畜群水平的饲养因素和管理实践与产奶量和质量相关联。在畜群水平上,饲料推送频率(平均值=每天 12.8 ± 8.3 次)和饲料槽空间(平均值=每头牛 64 ± 21.5 厘米)与产奶量呈正相关。产奶量与使用无机(沙子)垫料而非有机垫料、挤奶荷斯坦奶牛而非非荷斯坦奶牛、以及使用机械通风而非单独自然通风的畜群有关。乳脂和乳蛋白含量仅与品种有关。体细胞计数较低的畜群每天更频繁地清理过道(平均值=每天 12.1 ± 7.5 次)、过道更宽(平均值=304.5 ± 40.0 厘米)和使用沙子垫料。结果强调了使用沙子垫料、使用机械通风、保持饲料推送、确保过道清洁以及确保饲料槽有足够空间的重要性,这些都是在使用 AMS 的农场中维持畜群水平的生产力和牛奶质量所必需的。