首页> 外文期刊>Grass and forage science: the journal of the British Grassland Society. >GrazeIn: a model of herbage intake and milk production for grazing dairy cows. 1. Prediction of intake capacity, voluntary intake and milk production during lactation
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GrazeIn: a model of herbage intake and milk production for grazing dairy cows. 1. Prediction of intake capacity, voluntary intake and milk production during lactation

机译:GrazeIn:用于放牧奶牛的牧草摄入量和产奶量的模型。 1.泌乳期间的摄入量,自愿摄入量和产奶量的预测

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摘要

The prediction of both food intake and milk production constitutes a major issue in ruminants. This article presents a model predicting voluntary dry matter intake and milk production by lactating cows fed indoors. This model, with an extension to predict herbage intake at grazing presented in a second article, is used in the Grazemore decision support system. The model is largely based on the INRA fill unit system, consisting of predicting separately the intake capacity of the cows and the fill value (ingestibility) of each feed. The intake capacity model considers potential milk production as a key component of voluntary feed intake. This potential milk production represents the energy requirement of the mammary gland, adjusted by protein supply when the protein availability is limiting. Actual milk production is predicted from the potential milk production and from the nutritional status of the cow. The law of response of milk production is a function of the difference between energy demand and actual energy intake, modulated by protein intake level. The simulation of experimental data from different feeding trials illustrates the performance of the model. This new model enables dynamic simulations of intake and milk production sensitive to feeding management during the whole lactation period.
机译:对食物摄入和牛奶产量的预测是反刍动物的主要问题。本文提出了一个模型,该模型可以预测在室内喂奶的泌乳母牛的自愿干物质摄入量和产奶量。第二篇文章中介绍了该模型,该模型具有扩展功能,可预测放牧时的草食摄入量,并在Grazemore决策支持系统中使用。该模型主要基于INRA填充单位系统,包括分别预测奶牛的摄入量和每种饲料的填充值(可食用性)。摄入量模型将潜在的产奶量视为自愿采食量的关键组成部分。这种潜在的牛奶产量代表了乳腺的能量需求,当蛋白质的供应受到限制时,可以通过蛋白质的供应进行调整。根据潜在的牛奶产量和母牛的营养状况来预测实际的牛奶产量。牛奶生产的响应定律是能量需求与实际能量摄入之间差异的函数,受蛋白质摄入水平调节。来自不同喂养试验的实验数据的仿真说明了该模型的性能。这种新模型可以动态模拟整个泌乳期间对饲喂管理敏感的摄入量和产奶量。

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