Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden.
Natural Resources Institute Finland (Luke), Green Technology, FI-31600 Jokioinen, Finland.
J Dairy Sci. 2018 Feb;101(2):1164-1176. doi: 10.3168/jds.2017-13422. Epub 2017 Nov 23.
This study evaluated the relationship between utilizable crude protein (uCP) at the duodenum estimated in vitro and omasal flow of crude protein (CP; omasal flow of nonammonia N × 6.25) measured in lactating dairy cows. In vivo data were obtained from previous studies estimating omasal digesta flow using a triple-marker method and N as microbial marker. A total of 34 different diets based on grass and red clover silages were incubated with buffered rumen fluid previously preincubated with carbohydrates for 3 h. The buffer solution was modified to contain 38 g of NaHCO and 1 g of (NH)HCO in 1,000 mL of distilled water. Continuous sampling of the liquid phase for determination of ammonia-N was performed at 0.5, 4, 8, 12, 24, and 30 h after the start of incubation. The ammonia N concentrations after incubation were used to calculate uCP. The natural logarithm of uCP [g/kg of dry matter (DM)] at time points 0.5, 4, 8, 12, 24, and 30 h of incubation was plotted against time to estimate the concentration of uCP (g/kg of DM) at time points 16, 20, and 24 h using an exponential function. Fixed model regression analysis and mixed model regression analysis with random study effect were used to evaluate the relationships between predicted uCP (supply and concentration) and observed omasal CP flow and milk protein yield. Residual analysis was also conducted to evaluate whether any dietary factors influenced the relationships. The in vitro uCP method ranked the diets accurately in terms of total omasal CP flow (kg/d) or omasal CP flow per kilogram of DM intake. We also noted a close relationship between estimated uCP supply and adjusted omasal CP flow, as demonstrated by a coefficient of determination of 0.87, although the slope of 0.77 indicated that estimated uCP supply (kg/d) was greater than the value determined in vivo. The linear bias with mixed model analysis indicated that uCP supply overestimated the difference in omasal CP flow between the diets within a study, an error most likely related to study differences in feed intake, animals, and methodology. Predicting milk protein yield from uCP supply showed a positive relationship using a mixed model (coefficient of determination = 0.79), and we observed no difference in model fit between the time points of incubation (16, 20, or 24 h). The results of this study indicate that the in vitro method can be a useful tool in evaluating protein value of ruminant diets.
本研究评估了在体外估计十二指肠可利用粗蛋白(uCP)与泌乳奶牛瘤胃流出粗蛋白(CP;非氨 N×6.25)之间的关系,该 CP 通过三重标记法和 N 作为微生物标记来测量。基于草和红三叶草青贮饲料,使用三重标记法和 N 作为微生物标记来测量瘤胃食糜流量,获得了 34 种不同的饲料的体内数据。用缓冲液预孵育碳水化合物 3 小时,然后用缓冲液孵育 34 种不同的饲料。缓冲液溶液被修改为在 1000 毫升蒸馏水中包含 38 克 NaHCO 和 1 克(NH)HCO。在孵育开始后 0.5、4、8、12、24 和 30 小时连续取样以测定氨氮-N。孵育后氨氮-N 浓度用于计算 uCP。在孵育 0.5、4、8、12、24 和 30 小时时,uCP 的自然对数[g/kg 干物质(DM)]与时间作图,以使用指数函数估计 16、20 和 24 小时时 uCP 的浓度(g/kg DM)。使用固定模型回归分析和具有随机研究效果的混合模型回归分析来评估预测 uCP(供应和浓度)与观察到的瘤胃 CP 流量和牛奶蛋白产量之间的关系。还进行了残差分析,以评估是否存在任何饮食因素影响关系。体外 uCP 方法在总瘤胃 CP 流量(kg/d)或瘤胃 CP 流量/每千克 DM 采食量方面准确地对饲料进行了排序。我们还注意到估计的 uCP 供应与调整后的瘤胃 CP 流量之间存在密切关系,决定系数为 0.87,尽管 0.77 的斜率表明估计的 uCP 供应(kg/d)大于体内测定的值。混合模型分析的线性偏差表明,uCP 供应高估了研究内不同饲料之间的瘤胃 CP 流量差异,这一误差很可能与饲料摄入、动物和方法的研究差异有关。使用混合模型(决定系数=0.79)从 uCP 供应预测牛奶蛋白产量显示出正相关关系,我们观察到在孵育时间点(16、20 或 24 小时)之间模型拟合没有差异。本研究结果表明,该体外方法可作为评估反刍动物饲料蛋白价值的有用工具。