Szambelan Vanessa Lambrecht, Busanello Marcos, Lindorfer Mariani Schmalz, Rodrigues Rômulo Batista, Sarubbi Juliana
Department of Animal Science, Federal University of Santa Maria, Palmeira das Missões 98300-000, RS, Brazil.
Department of Animal Science, Federal University of Paraná, Curitiba 80035-050, PR, Brazil.
Animals (Basel). 2025 Aug 6;15(15):2293. doi: 10.3390/ani15152293.
This study aimed to evaluate daily patterns of hourly milking frequency (MF) in dairy cows milked with an automatic milking system (AMSs), considering the effects of season, parity order (PO), days in milk (DIM), and milk yield (MY). A retrospective longitudinal study was conducted on a commercial dairy farm in southern Brazil over one year using data from 130 Holstein cows and 94,611 milking events. MF data were analyzed using general linear models. Overall, hourly MF followed a consistent daily pattern, with peaks between 4:00 and 11:00 a.m. and between 2:00 and 6:00 p.m., regardless of season, PO, DIM, or MY category. MF was higher in primiparous (2.84/day, = 0.0013), early-lactation (<106 DIM; 3.00/day, < 0.0001), and high-yielding cows (≥45 L/day; 3.09/day, < 0.0001). High-yielding cows also showed sustained milking activity into the late nighttime. Although seasonal and individual factors significantly affected MF, they had limited influence on the overall daily distribution of milkings. These results suggest stable behavioral patterns within the specific AMS management conditions observed in this study and suggest that adjusting milking permissions and feeding strategies based on cow characteristics may improve system efficiency.
本研究旨在评估采用自动挤奶系统(AMS)挤奶的奶牛每小时挤奶频率(MF)的每日模式,同时考虑季节、胎次顺序(PO)、泌乳天数(DIM)和产奶量(MY)的影响。在巴西南部的一个商业化奶牛场进行了一项回顾性纵向研究,为期一年,使用了130头荷斯坦奶牛的94611次挤奶数据。MF数据采用一般线性模型进行分析。总体而言,无论季节、PO、DIM或MY类别如何,每小时MF都呈现出一致的每日模式,上午4:00至11:00以及下午2:00至6:00之间出现高峰。初产奶牛(2.84次/天, = 0.0013)、泌乳早期(<106 DIM;3.00次/天, < 0.0001)和高产奶牛(≥45升/天;3.09次/天, < 0.0001)的MF更高。高产奶牛在深夜也表现出持续的挤奶活动。尽管季节和个体因素对MF有显著影响,但它们对挤奶的总体每日分布影响有限。这些结果表明,在本研究观察到的特定AMS管理条件下,存在稳定的行为模式,并表明根据奶牛特征调整挤奶许可和饲养策略可能会提高系统效率。