首页> 外文学位 >Evaluation of dry matter intake prediction equations in a dynamic model of energy balance in the dairy cow.
【24h】

Evaluation of dry matter intake prediction equations in a dynamic model of energy balance in the dairy cow.

机译:奶牛能量平衡动态模型中干物质摄入预测方程的评估。

获取原文
获取原文并翻译 | 示例

摘要

A simple dynamic model of net energy balance was constructed to select, out of some common intake prediction equations, the one that results in a minimum cumulative bias in bodyweight. All equations over-predicted bodyweight, with an increasing degree of over-prediction as lactation progressed. An under-prediction of maintenance energy expenditure calculation was identified, and least sum of squares analysis on 21 data sets resulted in a new maintenance factor of 0.096 Mcal/kg BW0.75. Average maintenance parameters plotted against week of lactation resulted in the equation: Maintenance=-0.0227(+/-0.0098)xWOL 2+1.352(+/-0.456)xWOL+78.09(+/-4.92) Mcal/kg BW0.75x10 -6. Re-evaluation of the model with the new descriptions of maintenance showed the NRC (2001) intake equation to result in the minimum cumulative bias in predicted bodyweight. A lipostatic feedback mechanism (kxWOL+k2)x [(energy stores-initial energy stores)/initial energy stores] was integrated into the NRC equation, and significantly improved both bodyweight and intake predictions by the model.
机译:构建了一个简单的净能量平衡动态模型,以从一些常见的摄入量预测方程式中选择一个导致体重的最小累积偏差的方程式。所有方程式都过度预测了体重,随着泌乳的进行,过度预测的程度也在增加。确定了对维护能源支出计算的预测不足,并且对21个数据集进行的最小二乘分析得出了新的维护系数0.096 Mcal / kg BW0.75。相对于哺乳周绘制的平均维护参数得出以下公式:维护= -0.0227(+/- 0.0098)xWOL 2 + 1.352(+/- 0.456)xWOL + 78.09(+/- 4.92)Mcal / kg BW0.75x10 -6 。用新的维护说明对模型进行的重新评估显示,NRC(2001)摄入方程式可导致预测体重的最小累积偏差。降脂反馈机制(kxWOL + k2)x [(能量存储-初始能量存储)/初始能量存储]已集成到NRC方程中,并通过模型显着改善了体重和摄入量的预测。

著录项

  • 作者

    Ellis, Jennifer Lynn.;

  • 作者单位

    University of Guelph (Canada).;

  • 授予单位 University of Guelph (Canada).;
  • 学科 Agriculture Animal Culture and Nutrition.
  • 学位 M.Sc.
  • 年度 2005
  • 页码 180 p.
  • 总页数 180
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 饲料;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号