Letelier P, Zanton G I, Dórea J R R, Wattiaux M A
Department of Animal and Dairy Science, University of Wisconsin-Madison, Madison 53706.
USDA Agricultural Research Service; US Dairy Forage Research Center, Madison, WI 53706.
J Dairy Sci. 2022 Jun;105(6):5044-5061. doi: 10.3168/jds.2021-21028. Epub 2022 May 5.
Our aim was to explore whether changes in plasma essential AA (EAA) concentration ([EAA]) or profile (defined here as the molar proportion of individual [EAA] relative to the total [EAA]) may serve as an indicator of the EAA status of a cow. We undertook a meta-analysis with the objectives to determine if different plasma EAA profiles exist among cows and to explore the association of [EAA] or the profile of EAA with lactating cow performance and measures of N utilization. We hypothesized the existence of differences in [EAA] and different plasma EAA profile for cows with greater milk output, feed efficiency, and greater N use efficiency (NUE; milk true protein-N:N intake) compared with cows with lower milk output, feed efficiency, and lower NUE. The data set included 22 feeding trials and 96 dietary treatments. First, a mixed-effect model analysis was used to predict [EAA] in response to the categorical fixed effect of EAA, continuous fixed effect of National Research Council model-predicted metabolizable protein (MP) supply, continuous fixed effect of body weight, the fixed effect of EAA and MP supply interaction, the fixed effect of EAA and body weight interaction, and the random effect of study. Then, residuals of the model were standardized based on Z-score and clustered using the hierarchical method (Euclidean distance and Ward's minimum variance method) resulting in 2 clusters. Finally, a fixed-effect model was used to evaluate the significance with which clusters were associated with [EAA], cow performance, feed efficiency, and NUE. The total concentration of [EAA] was lower (784 vs. 983 µM) and the concentration of each EAA was on average 22 µM lower for cows in cluster 1 compared with cluster 2 with the smallest and greatest difference found for Met (4 µM) and Val (59 µM), respectively. The percentage difference in [EAA] was the smallest for Thr (-5.3%) and the greatest for Leu (-37.1%). There was no difference between clusters for Arg, His, and Met molar proportions; however, cows in cluster 1 had a lower molar proportion of Leu and a tendency for lower molar proportion of Val compared with cows in cluster 2. Additionally, cows in cluster 1 had greater molar proportions of Ile, Lys, and Thr and a tendency for greater molar proportion of Phe compared with cows in cluster 2. The fixed-effect model analysis indicated that cows in cluster 1 had higher milk energy output (+3.2 Mcal/d), true protein yield (+87 g/d) and fat yield (+236 g/d), feed efficiency (milk Mcal:dry matter intake; +8% unit), and a tendency for greater MP efficiency (Milk true protein/MP supply; +2.3% unit) than cows in cluster 2. These results suggested greater use of EAA by the mammary gland (as reflected by greater milk protein synthesis) and lower hepatic catabolism of AA (as reflected by a tendency to greater MP efficiency) in cows of cluster 1 compared with cluster 2. Our findings should be evaluated further, including whether the relative molar proportions of plasma EAA might serve as a holistic indicator of the EAA status of cows as related to their productivity, feed efficiency and N utilization.
我们的目的是探究血浆必需氨基酸(EAA)浓度([EAA])或组成(在此定义为单个[EAA]相对于总[EAA]的摩尔比例)的变化是否可作为奶牛EAA状态的指标。我们进行了一项荟萃分析,旨在确定奶牛之间是否存在不同的血浆EAA组成,并探究[EAA]或EAA组成与泌乳奶牛生产性能及氮利用指标之间的关联。我们假设,与产奶量、饲料效率和氮利用效率(NUE;牛奶真蛋白氮∶氮摄入量)较低的奶牛相比,产奶量、饲料效率和氮利用效率较高的奶牛在[EAA]和血浆EAA组成方面存在差异。数据集包括22项饲养试验和96种日粮处理。首先,使用混合效应模型分析来预测[EAA],其响应变量包括EAA的分类固定效应、美国国家研究委员会模型预测的可代谢蛋白(MP)供应的连续固定效应、体重的连续固定效应、EAA与MP供应的交互固定效应、EAA与体重的交互固定效应以及研究的随机效应。然后,基于Z分数对模型残差进行标准化处理,并使用层次聚类法(欧氏距离和沃德最小方差法)进行聚类,得到2个聚类。最后,使用固定效应模型评估聚类与[EAA]、奶牛生产性能、饲料效率和NUE之间关联的显著性。与聚类2中的奶牛相比,聚类1中的奶牛[EAA]总浓度较低(784 μM对983 μM),且每种EAA的浓度平均低22 μM,其中蛋氨酸(Met)差异最小(4 μM),缬氨酸(Val)差异最大(59 μM)。[EAA]的百分比差异中,苏氨酸(Thr)最小(-5.3%),亮氨酸(Leu)最大(-37.1%)。聚类1和聚类2中的奶牛在精氨酸(Arg)、组氨酸(His)和蛋氨酸的摩尔比例上没有差异;然而,与聚类2中的奶牛相比,聚类1中的奶牛亮氨酸的摩尔比例较低,缬氨酸的摩尔比例有降低的趋势。此外,与聚类2中的奶牛相比,聚类1中的奶牛异亮氨酸(Ile)、赖氨酸(Lys)和苏氨酸的摩尔比例较高,苯丙氨酸(Phe)的摩尔比例有升高的趋势。固定效应模型分析表明,与聚类2中的奶牛相比,聚类1中的奶牛有更高的牛奶能量产出(+3.2兆卡/天)、真蛋白产量(+87克/天)和脂肪产量(+236克/天)、饲料效率(牛奶兆卡∶干物质摄入量;+8%单位),且MP效率有升高的趋势(牛奶真蛋白/MP供应量;+2.3%单位)。这些结果表明,与聚类2中的奶牛相比,聚类1中的奶牛乳腺对EAA的利用率更高(如更高的牛奶蛋白合成所反映),肝脏对氨基酸的分解代谢更低(如MP效率有升高的趋势所反映)。我们的研究结果应进一步评估,包括血浆EAA的相对摩尔比例是否可作为与奶牛生产力、饲料效率和氮利用相关的EAA状态的整体指标。