首页> 外文OA文献 >Fütterungs- und nicht fütterungsbedingte Einflüsse auf den Milchhamstoffgehalt von Milchkühen ndash; 2. Mitteilung: Nicht fütterungsbedingte Einflussfaktoren auf den Milchhamstoffgehalt von Milchkühen
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Fütterungs- und nicht fütterungsbedingte Einflüsse auf den Milchhamstoffgehalt von Milchkühen ndash; 2. Mitteilung: Nicht fütterungsbedingte Einflussfaktoren auf den Milchhamstoffgehalt von Milchkühen

机译:饲喂和非饲喂相关因素对奶牛的牛奶尿素含量的影响-第二条消息:奶牛的不含尿素相关影响因素

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摘要

Title of the paper: The object of this study was to determine the impact of non nutrition factors stage of lactation, parity, milkprotein yield, somatic cell count, season and herd on milk urea concentration. For parity one to fife 239, 242,238, 235 and 237 mg urea/l milk was calculated using least-squares-means. Parity has a Statistical significant butsmall influence on the milk urea concentration. There was a strong positive relationship between the stage oflactation (day in milk) and milk urea concentration. The regression coefficients for day in milk within the threelactation periods were 0.34, 0.04 and 0.06. This means that the milk urea concentration increases by about 10mg/1 over 30 days in the first lactation period. The fixed effects for first and second lactation period versus thirdlactation period were −31.6 and −2.1. Protein yield has a significantly positive influence on milk ureaconcentration. The regression coefficients for milk protein yield within the three lactation periods were 42.5,43.2 and 31.2. This means that the milk urea concentration would increase by about 4 mg/l in first lactationperiod if the milk protein yield increased by 0.1 kg/day. The effect of somatic cell count on milk urea wassignificantly negative. The regression coefficients for somatic cell count within the three lactation period were −0.017, −0.019 and −0.015. This means that the milk urea concentration will decrease by 1.7 mg/l in first lactationperiod if the somatic cell count increases by IE5/ml. The relationship between dietary crude protein/energybalance, milk protein yield, stage of lactation, somatic cell count and milk urea concentration can be describedby an equation (third paper).
机译:文章标题:这项研究的目的是确定哺乳期,胎次,乳蛋白产量,体细胞计数,季节和畜群等非营养因素对牛奶尿素浓度的影响。对于最小二乘量,使用最小二乘法计算了239、242,238、235和237 mg尿素/升牛奶。奇偶校验对牛奶中的尿素浓度具有统计学意义,但影响很小。泌乳阶段(牛奶中的天数)与牛奶尿素浓度之间存在很强的正相关关系。在三个泌乳期中,牛奶日的回归系数分别为0.34、0.04和0.06。这意味着在第一个哺乳期的30天中,牛奶尿素浓度增加了约10mg / 1。第一和第二泌乳期相对于第三泌乳期的固定效应是-31.6和-2.1。蛋白质产量对牛奶尿素浓度具有显着的积极影响。三个泌乳期乳蛋白产量的回归系数分别为42.5、43.2和31.2。这意味着如果乳蛋白产量增加0.1 kg /天,则在第一个泌乳期乳脲浓度将增加约4 mg / l。体细胞计数对牛奶尿素的影响显着为阴性。在三个泌乳期中,体细胞计数的回归系数为-0.017,-0.019和-0.015。这意味着,如果体细胞计数增加IE5 / ml,则第一泌乳期的牛奶尿素浓度将降低1.7 mg / l。膳食粗蛋白/能量平衡,乳蛋白产量,泌乳阶段,体细胞计数和乳尿素浓度之间的关系可以用方程式描述(第三篇论文)。

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