Department of Animal Science, Penn State University, University Park 16802.
Department of Animal Science, Penn State University, University Park 16802.
J Dairy Sci. 2019 Jan;102(1):742-753. doi: 10.3168/jds.2018-15040. Epub 2018 Nov 15.
An annual pattern of milk composition has been well recognized in dairy cattle, with the highest milk fat and protein concentration observed during the winter and lowest occurring in the summer; however, rhythms of milk yield and composition have not been well quantified. Cosinor rhythmometry is commonly used to model repeating daily and annual rhythms and allows determination of the amplitude (peak to mean), acrophase (time at peak), and period (time between peaks) of the rhythm. The objective of this study was to use cosinor rhythmometry to characterize the annual rhythms of milk yield and milk fat and protein concentration and yield using both national milk market and cow-level data. First, 10 yr of monthly average milk butterfat and protein concentration for each Federal Milk Marketing Order were obtained from the US Department of Agriculture Agricultural Marketing Service database. Fat and protein concentration fit a cosine function with a 12-mo period in all milk markets. We noted an interaction between milk marketing order and milk fat and protein concentration. The acrophase (time at peak) of the fat concentration rhythm ranged from December 4 to January 19 in all regions, whereas the rhythm of protein concentration peaked between December 27 and January 6. The amplitude (peak to mean) of the annual rhythm ranged from 0.07 to 0.14 percentage points for milk fat and from 0.08 to 0.12 percentage points for milk protein. The amplitude of the milk fat rhythm generally was lower in southern markets and higher in northern markets. Second, the annual rhythm of milk yield and milk fat and protein yield and concentration were analyzed in monthly test day data from 1,684 cows from 11 tiestall herds in Pennsylvania. Fat and protein concentration fit an annual rhythm in all herds, whereas milk and milk fat and protein yield only fit rhythms in 8 of the 11 herds. On average, milk yield peaked in April, fat and protein yield peaked in February, fat concentration peaked in January, and protein concentration peaked in December. Amplitudes of milk, fat, and protein yield averaged 0.82 kg, 55.3 g, and 30.4 g, respectively. Milk fat and protein concentration had average amplitudes of 0.12 and 0.07, respectively, similar to the results of the milk market data. Generally, milk yield and milk components fit annual rhythm regardless of parity or diacylglycerol O-acyltransferase 1 (DGAT1) K232A polymorphism, with only cows of the low-frequency AA genotype (5.2% of total cows) failing to fit rhythm of milk yield. In conclusion, the yearly rhythms of milk yield and fat and protein concentration and yield consistently occur regardless of region, herd, parity, or DGAT1 genotype and supports generation by a conserved endogenous annual rhythm.
奶牛的牛奶成分具有明显的年度变化模式,冬季的乳脂和蛋白质浓度最高,夏季最低;然而,牛奶产量和成分的节律尚未得到很好的量化。正弦曲线拟合法常用于模拟重复的日常和年度节律,并可确定节律的幅度(峰值到均值)、峰相(峰值时间)和周期(峰值之间的时间)。本研究的目的是使用正弦曲线拟合法,利用全国牛奶市场和牛群水平数据来描述牛奶产量和乳脂及蛋白质浓度和产量的年度节律。首先,从美国农业部农业营销局数据库中获取了 10 年每个联邦牛奶营销订单的每月平均牛奶乳脂和蛋白质浓度。在所有牛奶市场中,脂肪和蛋白质浓度均符合余弦函数,具有 12 个月的周期。我们注意到牛奶营销订单与牛奶脂肪和蛋白质浓度之间存在相互作用。脂肪浓度节律的峰相(峰值时间)在所有地区均为 12 月 4 日至 1 月 19 日,而蛋白质浓度的节律峰值在 12 月 27 日至 1 月 6 日之间。年度节律的幅度(峰值到均值)范围为牛奶脂肪的 0.07 至 0.14 个百分点,牛奶蛋白质的 0.08 至 0.12 个百分点。脂肪节律的幅度通常在南部市场较低,在北部市场较高。其次,在宾夕法尼亚州 11 个牛舍的 1684 头奶牛的每月测试日数据中,分析了牛奶产量以及乳脂和蛋白质产量和浓度的年度节律。所有牛群的脂肪和蛋白质浓度均符合年度节律,而只有 11 个牛群中的 8 个符合牛奶和乳脂及蛋白质产量的节律。平均而言,牛奶产量在 4 月达到峰值,脂肪和蛋白质产量在 2 月达到峰值,脂肪浓度在 1 月达到峰值,蛋白质浓度在 12 月达到峰值。牛奶、脂肪和蛋白质产量的幅度平均分别为 0.82kg、55.3g 和 30.4g。牛奶脂肪和蛋白质浓度的幅度分别为 0.12 和 0.07,与牛奶市场数据的结果相似。一般来说,无论胎次或二酰基甘油 O-酰基转移酶 1(DGAT1)K232A 多态性如何,牛奶产量和牛奶成分都符合年度节律,只有低频 AA 基因型(总奶牛的 5.2%)的奶牛不符合牛奶产量的节律。总之,无论地区、牛群、胎次或 DGAT1 基因型如何,牛奶产量和脂肪及蛋白质浓度和产量的年度节律都一致出现,这支持了一个保守的内源性年度节律的产生。