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Fatty acids routed from fresh grass to milk influence S13C in milk

机译:脂肪酸从新鲜草坪排出到牛奶中的牛奶影响S13C

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Dairy production systems vary widely in their feeding and livestock-keeping regimens. Both are well-known to affect milk quality and they arc important topics for consumer perceptions. Here we examine whether carbon isotope composition (S'-'C) in milkcan be sufficiently predicted from feeding information, so that measurement of SljC in milk could serve as authenticity proof. We obtained 671 milk samples from 40 farms distributed over Central Europe to measure S13C and fatty acid composition. Feedingprotocols by the farmers in combination with a model based on S13C feed values from the literature were used to predict S13C in feed and subsequently in milk. The model considered dicrary contributions of C3 and C4 plants, contribution of concentrates,altitude of forage production, seasonal variation in 12/13CO, Suess's effect, and diet-milk fractionation. Predicted and measured S1: C in milk correlated closely (t-2=0.93). Analysing milk for 513C allowed validation of a reported C4 component with an uncertainty of <8% in 95% of all cases. This included the uncertainties of the method (measurement and prediction) and of the feeding information. However, the mismatch was not random but varied seasonally and correlated with the seasonal variation in long-chain fatty acids originating from fresh grass. This indicated routing of long-chain fatty acids from fresh grass to milk. In conclusion, S13C in milk can be predicted in the authentication case but larger errors occur with high proportions of fresh-grass feeding, due to routing of long-chained fatty acids from fresh grass to milk.
机译:乳制品生产系统在饲养和牲畜保存方案中差异很大。两者都是众所周知的,影响牛奶质量,他们弧形的重要主题是为了消费者的看法。在这里,我们检查含有含有碳同位素组成(S' - 'C)是否足够地预测喂养信息,因此牛奶中SLJC的测量可以作为真实性证明。我们从40个农场获得671个牛奶样品,分布在中欧欧洲以测量S13C和脂肪酸组成。农民与基于文献中的S13C馈电值的模型结合的饲料协议用于预测饲料中的S13C,随后在牛奶中。该模型被认为是C3和C4植物的Dicrary贡献,浓缩物的贡献,饲料生产的高度,12 / 13CO,盐疗法和饮食乳液分馏的季节性变化。预测和测量的S1:C在牛奶中密切相关(T-2 = 0.93)。分析513C的牛奶允许验证报告的C4组分,在所有病例的95%中的不确定度为<8%。这包括该方法的不确定性(测量和预测)和馈送信息。然而,不匹配不是随机的,但季节性变化,与源自新鲜草的长链脂肪酸的季节变异相同。这表明从新鲜草到牛奶的长链脂肪酸路由。总之,由于从新鲜草地到牛奶的长链脂肪酸的路由,可以预测牛奶中的S13C,但较大的误差发生了高比例的新鲜草喂养。

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