Huhtanen P, Nousiainen J I, Rinne M, Kytölä K, Khalili H
MTT Agrifood Research Finland, Animal Production Research, FIN-31600 Jokioinen, Finland.
J Dairy Sci. 2008 Sep;91(9):3589-99. doi: 10.3168/jds.2008-1181.
Data from 207 production trials (998 treatment means) were used to study the effects of animal and dietary characteristics on the efficiency of N utilization for milk protein production, and on fecal N, urinary N, and total manure N output. The average efficiency of transferring dietary N to milk N (MNE; milk N/N intake) was 277 (SD = 36.0) g/kg. Nitrogen efficiency was poorly related to milk yield. Dietary concentrations of crude protein (CP) and protein balance in the rumen (PBV) were the best single predictors of MNE. Dietary CP concentration explained variation in MNE better than did N intake. Bivariate models with PBV or metabolizable protein (MP) explained the variation better than CP alone. The effects of protein feeding parameters on MNE were consistent among data subsets from studies investigating the effects of the amount and protein concentration of concentrate supplement, silage digestibility, silage fermentation quality, or substitution of grass silage with legume silage. The model with total dry matter and N intakes as independent variables explained fecal, urinary, and total manure N output more precisely than N intake alone. The model of fecal N output suggested that the true digestibility of dietary N was 0.91, and that metabolic and endogenous N was the major component in fecal N. The proportion of urine N in manure N was strongly related to dietary CP concentration. Including the concentration of dietary carbohydrates only slightly improved the models, indicating that the most effective strategy to improve MNE and to decrease N losses in manure, especially in urine, is to avoid feeding diets with excessively high CP concentration and especially excess ruminally degradable CP.
来自207个生产试验(998个处理均值)的数据用于研究动物和日粮特性对乳蛋白生产中氮利用效率以及粪便氮、尿液氮和总粪氮输出的影响。日粮氮转化为乳氮的平均效率(MNE;乳氮/氮摄入量)为277(标准差 = 36.0)g/kg。氮效率与产奶量的相关性较差。日粮粗蛋白(CP)浓度和瘤胃蛋白平衡(PBV)是MNE的最佳单一预测指标。日粮CP浓度比氮摄入量能更好地解释MNE的变化。包含PBV或可代谢蛋白(MP)的双变量模型比单独使用CP能更好地解释这种变化。在研究精料补充料的量和蛋白浓度、青贮饲料消化率、青贮饲料发酵质量或用豆科青贮饲料替代禾本科青贮饲料等影响的研究数据子集中,蛋白质饲喂参数对MNE的影响是一致的。以总干物质和氮摄入量作为自变量的模型比仅用氮摄入量能更精确地解释粪便、尿液和总粪氮输出。粪便氮输出模型表明日粮氮的真消化率为0.91,且代谢氮和内源氮是粪便氮的主要组成部分。粪氮中尿氮的比例与日粮CP浓度密切相关。仅纳入日粮碳水化合物浓度对模型的改善作用不大,这表明提高MNE并减少粪中氮损失(尤其是尿液中的氮损失)的最有效策略是避免饲喂CP浓度过高尤其是瘤胃可降解CP过量的日粮。