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
大幅提高文件上传限制,最高150M (2024-4-1)

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
mm完成签到,获得积分10
1秒前
ww发布了新的文献求助10
1秒前
欣慰的寒烟完成签到,获得积分10
1秒前
2秒前
赘婿应助流光采纳,获得10
3秒前
秋qiu发布了新的文献求助10
3秒前
3秒前
4秒前
杨涵完成签到,获得积分10
4秒前
风筝有风发布了新的文献求助10
4秒前
Christina完成签到,获得积分10
4秒前
吴建洺完成签到,获得积分10
4秒前
5秒前
笨笨猪完成签到,获得积分10
5秒前
6秒前
cc完成签到,获得积分10
6秒前
慕青应助南湖秋水采纳,获得10
7秒前
JamesPei应助weisuonan101采纳,获得10
7秒前
搜集达人应助guo采纳,获得10
7秒前
研友_8DrBkn发布了新的文献求助10
8秒前
和平使命应助zhiweiyan采纳,获得10
8秒前
8秒前
CrazyRichard发布了新的文献求助10
9秒前
9秒前
zoro完成签到,获得积分20
9秒前
9秒前
英姑应助王算法采纳,获得10
9秒前
Carl发布了新的文献求助10
10秒前
li发布了新的文献求助10
11秒前
xima完成签到,获得积分10
12秒前
12秒前
健壮的思枫完成签到,获得积分10
12秒前
13秒前
刘妮妮发布了新的文献求助10
14秒前
在水一方应助酸奶泡泡采纳,获得10
14秒前
14秒前
CL完成签到 ,获得积分10
16秒前
16秒前
忧郁绣连完成签到,获得积分10
16秒前
丸子发布了新的文献求助10
18秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3309005
求助须知:如何正确求助?哪些是违规求助? 2942374
关于积分的说明 8508619
捐赠科研通 2617432
什么是DOI,文献DOI怎么找? 1430073
科研通“疑难数据库(出版商)”最低求助积分说明 664018
邀请新用户注册赠送积分活动 649234