Department of Animal Nutrition and Management, Swedish University of Agricultural Sciences (SLU), 750 07 Uppsala, Sweden; Beijer Laboratory for Animal Science, Swedish University of Agricultural Sciences (SLU), 750 07 Uppsala, Sweden.
Department of Animal Nutrition and Management, Swedish University of Agricultural Sciences (SLU), 750 07 Uppsala, Sweden.
J Dairy Sci. 2023 Dec;106(12):8835-8846. doi: 10.3168/jds.2022-23099. Epub 2023 Aug 23.
Cow-calf contact (CCC) systems, although beneficial in many respects, introduce additional challenges to collect reliable data on milk production, which is important to assess individual cow efficiency and dairy farm profitability. Apart from weighing calves before and after each feeding, the amount of saleable milk lost due to calf suckling is practically impossible to measure. Here, we assess 2 indirect methods for estimating loss of saleable milk when housing cows and calves together in a robotic milking unit. In our study, treatment (CCC) cows and calves were kept together full time until the calves were 127 ± 6.6 d old (mean ± SD). Control cows were separated from their calves within 12 h of birth and then kept in the same unit as the treatment cows but with no access to either their own or treatment calves. Milk yield recording of both groups was performed from calving until pasture release at 233 ± 20 d in milk. The first estimation method relied on observed postseparation milk yield data, which were fed into a modified Wilmink regression model to determine the best-fitting lactation curve for the preseparation period. The second method was based on the cows' daily energy intake postseparation, calculated by measuring the daily feed intake and analyzing the energy content of the ration. The calculated energy intake was used to determine the average ratio between energy intake and the observed milk yield the following day for each individual cow, assuming constant rates of mobilization and deposition of body fat. The obtained ratio was then used to calculate the expected daily milk yield based on daily energy intake data during the preseparation period. In this paper, we analyzed data from 17 CCC cows kept together with their calves and 16 control cows; both groups calved from September to October 2020 and were followed up until release to pasture in May 2021. Saleable milk yield was lower in CCC cows than in control cows, both before and after separation. The 2 methods were used on data for control cows and showed milk yield loss using the lactation curve method (average of -3.4 ± 2.8 kg/d) and almost no loss using energy intake data (average of -1.4 ± 2.7 kg/d). Milk yield loss for CCC cows was estimated at average 11.3 ± 4.8 and 7.3 ± 6.6 kg milk/d, respectively. The proposed lactation curve estimation method tends to overestimate milk yield loss, whereas the method based on energy intake is more accurate. However, collecting detailed energy intake data per individual cow requires additional effort and equipment, which is not always feasible on commercial farms. Further research is needed to improve milk loss estimation and to better understand trade-offs in CCC systems.
牛-犊接触(CCC)系统在许多方面都有益处,但在收集牛奶产量的可靠数据方面带来了额外的挑战,这对于评估奶牛个体效率和奶牛场盈利能力非常重要。除了在每次喂养前后给犊牛称重外,由于犊牛吮吸而损失的可销售牛奶量实际上是无法测量的。在这里,我们评估了 2 种间接方法,用于估计在机器人挤奶装置中同时饲养奶牛和犊牛时可销售牛奶的损失。在我们的研究中,处理(CCC)奶牛和犊牛在 127 ± 6.6 天(均值 ± SD)龄前一直保持在一起。对照奶牛在出生后 12 小时内与犊牛分开,然后与处理奶牛一起饲养在同一单元内,但无法接触自己或处理奶牛的犊牛。两组的牛奶产量记录从产犊开始,直到在 233 ± 20 天泌乳期结束时释放到牧场。第一种估计方法依赖于观察到的分离后产奶量数据,这些数据被输入到修改后的 Wilmink 回归模型中,以确定分离前期间的最佳拟合泌乳曲线。第二种方法基于分离后奶牛的日能量摄入量,通过测量每日饲料摄入量并分析日粮的能量含量来计算。计算出的能量摄入量用于确定每个个体奶牛在第二天观察到的牛奶产量的平均比率,假设体脂肪的动员和沉积率保持不变。然后根据分离前期间的每日能量摄入量数据,使用该比率计算预期的每日牛奶产量。在本文中,我们分析了 17 头与犊牛一起饲养的 CCC 奶牛和 16 头对照奶牛的数据;两组奶牛均于 2020 年 9 月至 10 月产犊,并一直跟踪至 2021 年 5 月释放到牧场。与对照组相比,CCC 奶牛的可销售牛奶产量在分离前后均较低。这两种方法均用于对照奶牛的数据,使用泌乳曲线法(平均每天损失-3.4 ± 2.8 千克)和能量摄入数据(平均每天损失-1.4 ± 2.7 千克)。CCC 奶牛的牛奶产量损失估计分别为平均每天 11.3 ± 4.8 和 7.3 ± 6.6 千克。提出的泌乳曲线估计方法往往会高估牛奶产量的损失,而基于能量摄入的方法则更准确。然而,收集每个奶牛的详细能量摄入数据需要额外的努力和设备,这在商业农场并不总是可行的。需要进一步研究来改进牛奶损失估计,并更好地了解 CCC 系统中的权衡。