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A Redefinition of the Representation of Mammary Cells and Enzyme Activities in a Lactating Dairy Cow Model

机译:在哺乳期奶牛模型中乳细胞和酶活性代表的重新定义

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The Molly model predicts various aspects of digestion and metabolism in the cow, including nutrient partitioning between milk and body stores. It has been observed previously that the model underpredicts milk component yield responses to nutrition and consequently overpredicts body energy store responses. In Molly, mammary enzyme activity is represented as an aggregate of mammary cell numbers and activity per cell with minimal endocrine regulation. Work by others suggests that mammary cells can cycle between active and quiescent states in response to various stimuli. Simple models of milk production have demonstrated the utility of this representation when using the model to simulate variable milking and nutrient restriction. It was hypothesized that replacing the current representation of mammary cells and enzyme activity in Molly with a representation of active and quiescent cells and improving the representation of endocrine control of cell activity would improve predictions of milk component yield. The static representation of cell numbers was replaced with a representation of cell growth during gestation and early lactation periods and first-order cell death. Enzyme capacity for fat and protein synthesis was assumed to be proportional to cell numbers. Enzyme capacity for lactose synthesis was represented with the same equation form as for cell numbers. Data used for parameter estimation were collected as part of an extended lactation trial. Cows with North American or New Zealand genotypes were fed 0, 3, or 6 kg of concentrate dry matter daily during a 600-d lactation. The original model had root mean square prediction errors of 17.7, 22.3, and 19.8% for lactose, protein, and fat yield, respectively, as compared with values of 8.3, 9.4, and 11.7% for the revised model, respectively. The original model predicted body weight with an error of 19.7% vs. 5.7% for the revised model.rnBased on these observations, it was concluded that representing mammary synthetic capacity as a function of active cell numbers and revisions to endocrine control of cell activity was meritorious.
机译:莫莉模型预测奶牛消化和代谢的各个方面,包括牛奶和身体存储之间的营养分配。以前已经观察到,该模型低估了牛奶成分对营养的响应,因此高估了人体能量存储的响应。在莫莉(Molly)中,乳腺酶活性表示为最小内分泌调节的乳腺细胞数量和每个细胞活性的集合。其他人的研究表明,乳腺细胞可以响应各种刺激而在活跃状态和静止状态之间循环。当使用模型来模拟可变挤奶和营养限制时,简单的牛奶生产模型已经证明了这种表示的实用性。假设用活动和静止细胞的表示法代替莫莉中的乳腺细胞和酶活性的当前表示法,并改善内分泌控制细胞活性的表示法,将改善对牛奶成分产量的预测。细胞数目的静态表示被妊娠和早期哺乳期细胞的生长以及一级细胞死亡的表示所代替。假定脂肪和蛋白质合成的酶能力与细胞数成正比。乳糖合成的酶容量用与细胞数相同的方程式表示。作为扩展泌乳试验的一部分,收集了用于参数估计的数据。在600天的泌乳期中,每天向具有北美或新西兰基因型的母牛饲喂0、3或6 kg浓缩干物质。原始模型的乳糖,蛋白质和脂肪产量的均方根预测误差分别为17.7、22.3和19.8%,而修改后的模型分别为8.3、9.4和11.7%。原始模型预测的体重为19.7%,而修正模型的预测误差为5.7%。rn基于这些观察结果,得出结论,代表乳腺合成能力与活性细胞数量的关系以及对内分泌控制细胞活性的修正是有功的。

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