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Real-time evaluation of milk quality as reflected by clotting parameters of individual cow's milk during the milking session, between day-to-day and during lactation.

机译:在挤奶期间,每天和哺乳期间,通过单个牛奶的凝结参数反映的牛奶质量的实时评估。

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Real-time analysis of milk coagulation properties as performed by the AfiLabTM milk spectrometer introduces new opportunities for the dairy industry. The study evaluated the performance of the AfiLabTM in a milking parlor of a commercial farm to provide real-time analysis of milk-clotting parameters -Afi-CF for cheese manufacture and determine its repeatability in time for individual cows. The AfiLabTM in a parlor, equipped with two parallel milk lines, enables to divert the milk on-line into two bulk milk tanks (A and B). Three commercial dairy herds of 220 to 320 Israeli Holstein cows producing -11 500 l during 305 days were selected for the study. The Afi-CF repeatability during time was found significant (P < 0.001) for cows. The statistic model succeeded in explaining 83.5% of the variance between Afi-CF and cows, and no significant variance was found between the mean weekly repeated recordings. Days in milk and log somatic cell count (SCC) had no significant effect. Fat, protein and lactose significantly affected Afi-CF and the empirical van Slyke equation. Real-time simulations were performed for different cutoff levels of coagulation properties where the milk of high Afi-CF cutoff value was channeled to tank A and the lower into tank B. The simulations showed that milk coagulation properties of an individual cow are not uniform, as most cows contributed milk to both tanks. Proportions of the individual cow's milk in each tank depended on the selected Afi-CF cutoff. The assessment of the major causative factors of a cow producing low-quality milk for cheese production was evaluated for the group that produced the low 10% quality milk. The largest number of cows in those groups at the three farms was found to be cows with post-intramammary infection with Escherichia coli and subclinical infections with streptococci or coagulase-negative staphylococci (-30%), although the SCC of these cows was not significantly different. Early time in lactation together with high milk yield >50 l/day, and late in lactation together with low milk yield<15 l/day and estrous (0 to 5 days) were also important influencing factors for low-quality milk. However, -50% of the tested variables did not explain any of the factors responsible for the cow producing milk in the low - 10% Afi-CF
机译:由AfiLab TM 牛奶光谱仪进行的牛奶凝结特性的实时分析为乳品行业带来了新的机遇。该研究评估了AfiLab TM 在商业农场的挤奶厅中的性能,以实时分析用于奶酪生产的牛奶凝结参数-Afi-CF,并确定其及时的重复性牛。配备两个平行奶线的客厅AfiLab TM 可将牛奶在线转移到两个大容量牛奶罐(A和B)中。选择了三只商业奶牛群,在305天内生产-11 500升的220至320头以色列荷斯坦奶牛进行了研究。发现牛的Afi-CF在一段时间内的重复性很显着(P <0.001)。该统计模型成功地解释了Afi-CF与奶牛之间83.5%的差异,并且在每周平均记录之间没有发现显着差异。牛奶天数和对数体细胞计数(SCC)均无明显影响。脂肪,蛋白质和乳糖显着影响Afi-CF和经验范斯莱克方程。针对不同截断水平的凝结特性进行了实时模拟,其中高Afi-CF截断值的牛奶被引导到储罐A,较低的凝乳被引入到储罐B。仿真显示,单个母牛的牛奶凝结特性是不均匀的,因为大多数奶牛都向这两个水箱贡献了牛奶。每个罐中单个牛奶的比例取决于所选的Afi-CF临界值。对于生产低质量牛奶的组,评估了生产低质量牛奶用于奶酪生产的母牛的主要病因。在这三个农场中,这些组中的奶牛数量最多,是在大肠杆菌内感染后感染和链球菌或凝固酶阴性葡萄球菌为亚临床感染的奶牛(-30%),尽管这些奶牛的SCC并不明显不同。泌乳早期和高产奶量> 50升/天,哺乳后期和低产乳量<15升/天以及发情期(0至5天)也是影响低质牛奶的重要因素。但是,-50%的测试变量无法解释导致奶牛低产Afi-CF的任何因素-10%Afi-CF

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