已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

A dynamic model of metabolizable energy utilization in growing and mature cattle. II. Metabolizable energy utilization for gain

体重增加 净收益 净能量 数学 太阳增益 功能(生物学) 组分(热力学) 作文(语言) 能量(信号处理) 网(多面体) 动物科学 统计 体重 计算机科学 生物 物理 生态学 热力学 太阳能 放大器 计算机网络 语言学 哲学 带宽(计算) 几何学 进化生物学 内分泌学
作者
C B Williams,T. G. Jenkins
出处
期刊:Journal of Animal Science [Oxford University Press]
卷期号:81 (6): 1382-1389 被引量:35
标识
DOI:10.2527/2003.8161382x
摘要

Component models were developed to predict the net efficiency of ME utilization for gain in cattle and to predict daily gain using recovered energy as the input. These models were integrated into a single model to predict daily gain from ME available for gain. One component model predicts the net efficiency of ME utilization for gain using constant partial net efficiencies of 0.2 and 0.75 for ME retention as protein and fat, respectively. This model predicts net efficiency of ME utilization for gain as a function of the ratio of the energy recovered in protein to the total energy recovered. The other component model predicts daily gain as a function of recovered energy and is represented by a system of ordinary differential equations that are numerically integrated on a daily basis. This model was developed by reformulating the equations in a published body composition model that uses daily gain to predict composition of gain since recovered energy is a function of gain and composition of gain. The equations in the two component models interact in that net efficiency is used to predict recovered energy from ME for gain, and in turn, recovered energy is used to predict gain in empty BW, which determines net efficiency through composition of gain. The numeric integration procedure provides an iterative solution for net efficiency. Simulated response of net efficiency for Hereford x Angus steers at 400 kg of empty BW decreased from 0.57 to 0.52 on diets with ME densities of 3.1 and 2.6 Mcal/kg of DM, and restricting the lower-quality diet to 75% of ad libitum intake resulted in a simulated net efficiency of 0.47. These responses in net efficiency were shown to be a result of composition of gain, with leaner gains resulting in lower net efficiencies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
奥真奈美77完成签到 ,获得积分10
3秒前
xxm发布了新的文献求助10
4秒前
axi完成签到,获得积分10
5秒前
Li应助福建农林太学采纳,获得10
6秒前
情怀应助福建农林太学采纳,获得10
6秒前
希望天下0贩的0应助WJY采纳,获得20
6秒前
Jennie发布了新的文献求助10
7秒前
ccm驳回了田様应助
8秒前
小闵发布了新的文献求助10
9秒前
丁老三完成签到 ,获得积分10
9秒前
GingerF举报讨厌下雨天求助涉嫌违规
12秒前
温凉挽久完成签到,获得积分20
12秒前
12秒前
12秒前
福建农林太学完成签到,获得积分20
13秒前
Crystal完成签到,获得积分10
14秒前
小摩尔完成签到 ,获得积分10
14秒前
17秒前
17秒前
scanker1981完成签到,获得积分10
18秒前
Muncy完成签到 ,获得积分10
19秒前
桉豆完成签到 ,获得积分10
20秒前
20秒前
21秒前
WJY发布了新的文献求助20
21秒前
小研pleh完成签到 ,获得积分10
22秒前
lijunlhc完成签到,获得积分10
22秒前
小闵完成签到,获得积分10
22秒前
23秒前
one完成签到 ,获得积分10
24秒前
忐忑的黄豆完成签到,获得积分10
24秒前
charmander发布了新的文献求助10
24秒前
坚强的嚣完成签到 ,获得积分10
25秒前
罗皮特完成签到,获得积分10
27秒前
28秒前
zuhangzhao完成签到,获得积分10
31秒前
的速度发布了新的文献求助20
33秒前
ZXK完成签到 ,获得积分10
35秒前
lin050711完成签到,获得积分20
35秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
A Half Century of the Sonogashira Reaction 1000
Artificial Intelligence driven Materials Design 600
Investigation the picking techniques for developing and improving the mechanical harvesting of citrus 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5185452
求助须知:如何正确求助?哪些是违规求助? 4370908
关于积分的说明 13611416
捐赠科研通 4223147
什么是DOI,文献DOI怎么找? 2316194
邀请新用户注册赠送积分活动 1314790
关于科研通互助平台的介绍 1263766