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使用瘤胃功能数学模型预测采食量和消化率。

Predicting intake and digestibility using mathematical models of ruminal function.

作者信息

Mertens D R

出版信息

J Anim Sci. 1987 May;64(5):1548-58. doi: 10.2527/jas1987.6451548x.

Abstract

Intake and digestibility of feeds by ruminants are influenced by characteristics of the feed, animal and feeding situation. Integration of these characteristics in mathematical models is critical to future progress in forage evaluation and optimal formulation of diets for ruminants. The physiological and physical theories of intake regulation can be described by simple mathematical equations. These equations indicate that intake is a linear function of animal characteristics, such as body weight and production level, and a reciprocal function of feed characteristics, such as fill effect and energy content. Theoretical equations were developed to predict intake when the neutral detergent fiber and energy content of the diet and the energy requirements of the animal are known. The theoretical model also can be used to predict the maximum intake that will maintain a given level of animal production by solving the physiological and physical intake equations at their intersection. Psychogenic intake regulation, which is related to the animal's behavioral response to factors not related to physiological or physical characteristics, can be described mathematically as a multiplier. Digestibility can be predicted by summing the contents of ideal nutritive entities in feeds, which have true digestibilities near 100%, subtracting their associated endogenous losses and adding the variable digestible fiber content. Steady-state models indicate fractional rates of digestion and passage can be used to define ideal nutritive entities and predict digestibility over a range of kinetic characteristics. The steady-state solutions are particularly useful in understanding and predicting the depression in digestibility associated with changes in rates of passage at high levels of feed intake.

摘要

反刍动物对饲料的采食量和消化率受饲料、动物及饲养环境特性的影响。将这些特性整合到数学模型中,对于未来牧草评估及反刍动物日粮的优化配方至关重要。采食量调节的生理和物理理论可用简单的数学方程式来描述。这些方程式表明,采食量是动物特性(如体重和生产水平)的线性函数,以及饲料特性(如饱腹效应和能量含量)的倒数函数。当已知日粮的中性洗涤纤维和能量含量以及动物的能量需求时,可建立理论方程式来预测采食量。通过在生理和物理采食量方程式的交点求解,该理论模型还可用于预测维持给定动物生产水平的最大采食量。心理性采食量调节与动物对与生理或物理特性无关因素的行为反应有关,可用数学方法描述为一个乘数。消化率可通过将饲料中理想营养成分的含量相加来预测,这些成分的真消化率接近100%,减去其相关的内源性损失,并加上可变的可消化纤维含量。稳态模型表明,消化率和通过率的分数速率可用于定义理想营养成分,并预测一系列动力学特性下的消化率。稳态解对于理解和预测高采食量水平下与通过率变化相关的消化率下降尤为有用。

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