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使用基于生物学的泌乳模型解析泌乳期的产奶量和成分。

Deconstructing milk yield and composition during lactation using biologically based lactation models.

作者信息

Pollott G E

机构信息

Department of Agricultural Sciences, Imperial College London, Wye, Ashford, Kent, TN25 5AH, UK.

出版信息

J Dairy Sci. 2004 Aug;87(8):2375-87. doi: 10.3168/jds.S0022-0302(04)73359-7.

DOI:10.3168/jds.S0022-0302(04)73359-7
PMID:15328258
Abstract

A recently developed biological model of lactation described changes in daily milk yield throughout lactation as the result of 3 processes, secretory cell differentiation, cell death, and secretion rate per cell. This paper extends the model to describe the production of milk components (fat, protein, lactose, and water) throughout lactation by replacing milk secretion rate of the original model with the secretion rates of the four components. The milk component model approach was used to examine the relationship between milk yield and the major determinants of its production, using the secretion of milk components throughout lactation. Newly derived models were tested on 461 lactations from a single Holstein herd and used to estimate variability of secretion rates throughout lactation. Because the pattern of cell numbers throughout lactation is not precisely known, an alternative pattern of cell numbers was modeled and the concomitant change in secretion rates outlined. Fat secretion rate was the most variable, as measured by its weekly coefficient of variation throughout lactation. Secretion rates of lactose and water were nearly constant throughout lactation and highly correlated (0.94). Fat and protein secretion rates also were well correlated (0.53). The known biochemistry of milk component production related well to the secretion rate observations derived from the model. Lactose secretion rate and numbers of active secretory cells primarily determined daily milk yield.

摘要

最近开发的一种泌乳生物学模型将整个泌乳期每日产奶量的变化描述为分泌细胞分化、细胞死亡和每个细胞分泌率这三个过程的结果。本文扩展了该模型,通过用四种成分的分泌率替代原始模型的乳汁分泌率,来描述整个泌乳期乳汁成分(脂肪、蛋白质、乳糖和水)的产生。乳汁成分模型方法被用于通过整个泌乳期乳汁成分的分泌情况,研究产奶量与其生产的主要决定因素之间的关系。新推导的模型在来自单一荷斯坦牛群的461次泌乳数据上进行了测试,并用于估计整个泌乳期分泌率的变异性。由于整个泌乳期细胞数量的模式尚不完全清楚,因此对细胞数量的另一种模式进行了建模,并概述了分泌率的相应变化。以整个泌乳期每周的变异系数衡量,脂肪分泌率变化最大。乳糖和水的分泌率在整个泌乳期几乎保持恒定,且高度相关(0.94)。脂肪和蛋白质的分泌率也具有良好的相关性(0.53)。已知的乳汁成分产生的生物化学与从模型得出的分泌率观察结果密切相关。乳糖分泌率和活跃分泌细胞的数量主要决定了每日产奶量。

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