Levels of Cu, Mn, Fe and Zn in Cow Serum and Cow Milk: Relationship with Trace Elements Contents and Chemical Composition in Milk

文献类型： 外文期刊

第一作者： Wang, Hui

作者： Wang, Hui;Liu, Yongming;Qi, Zhiming;Wang, Shengyi;Liu, Shixiang;Dong, Shuwei;Xia, Xinchao;Li, Shengkun;Liu, Zhiqi

作者机构：

关键词： milk;chemical composition;trace elements;relationship;serum

期刊名称：ACTA SCIENTIAE VETERINARIAE （ 影响因子：0.337； 五年影响因子：0.41 ）

ISSN： 1678-0345

年卷期： 2014 年 42 卷

页码：

收录情况： SCI

摘要： Background: Milk can be considered a source of macro- and micronutrients, together with bioactive substances, and also contains a number of active compounds that play a significant role in both nutrition and health protection. Data on milk chemical composition provide information on milk quality alterations and cow health status but is also useful in planning feeding and breeding. Animals living use changes in the photoperiod to adapt to seasonal changes in the environment. The composition of milk is of great importance for the dairy industry and there is great interest in changing the composition of milk. Dairy cow breeding in China has always been restricted by species, management, nutrient supply, seasonal variation and other factors, which cause the quality of raw milk is unsteady. The transition element cations have concentrations in blood, tissues and milk that are largely independent of the intake, as they relate to regulation of gut absorption and changing metabolic demands. Thus, the main objective of this study was to investigate the possible effects of nature month and physiological variables on chemical composition in milk and trace element levels in Chinese Holstein Friesian cows. Materials, Methods & Results: In this paper, cow milk samples were collected from 180 consecutive milkings during 6 month. For the first time, Pearson phenotypic correlations and hierarchical cluster analysis (HCA) were used for analyzing milk chemical composition and trace elements levels in milk and serum. Linear regression was used to predict the value of the continuous dependent variable based on the value of the independent variable. The results showed milk chemical composition and trace elements vary considerably throughout the test period. HCA classified samples into three main groups on the basis of the measured parameters. The first group was composed of fat, total solids, Mn, Fe, and Zn; the second cluster included solids non fat, freezing point, total protein, density, lactose, and acidity; and the last cluster consisted of Cu alone. Stepwise linear regression analysis showed that milk Mn was significantly correlated with serum Mn (r = 0.388, P = 0.008 < 0.05), but milk Cu, Fe and Zn levels were not positively associated with serum (r = 0.013, P = 0.933 > 0.05; r = -0.235, P = 0.087 > 0.05; r = 0.217, P = 0.081 > 0.05, respectively). Discussion: These observations suggest that the concentration of Cu, Mn, Fe and Zn in serum and milk did not remain stable during lactation period. Nature month variations have to be taken into consideration for the correct interpretation of milk chemical composition and trace elements status in cow. HCA is an effective way to comprehensively evaluate the characterization of milk, which not only could avoid the bias and the instability of single factor analysis, but also reflect the relationship between different chemical composition and trace elements related characterization and quality in milk better. The newborn infant is dependent on an adequate supply of trace elements for optimal nutrition and health. The mammary gland has a remarkable capacity to adapt to maternal deficiency or excess of trace elements and to homeostatically control milk concentrations of these essential nutrients such as Cu, Mn, Fe and Zn. However, the content of milk Cu, Fe, and Zn is not suitable for reflect the states of the corresponding nutrients in serum.

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