基于通过呼吸室或GreenFeed测量的呼吸气体交换,为奶牛提供新的料效率特征的潜力
Pekka Huhtanen1, Ali-Reza Bayat1
1Animal Nutrition, Production Systems, Natural Resources Institute Finland (LUKE), 31600 Jokioinen, Finland.
Journal of dairy science
|August 2, 2025
概括
使用来自GreenFeed系统的气体交换数据,估计奶牛的料效率 (FE) 显示了实际农场应用的潜力. 这种方法在没有直接的料摄入量测量的情况下,准确地按 FE 排列奶牛,为群体管理提供了可行的替代方案.
科学领域:
- 动物科学动物科学
- 营养生理学 营养生理学
- 乳牛的新陈代谢 乳牛的新陈代谢
背景情况:
- 料效率 (FE) 对于乳制品生产至关重要,但在商业牲畜中准确测量是具有挑战性的.
- 剩余料摄入量 (RFI) 是一个常见的FE指标,从观察到的减去预测的料摄入量计算出来.
- 气交分析为估计代谢损失提供了一种替代方法,因此,FE.
研究的目的:
- 为了比较GreenFeed (GF) 系统和呼吸室 (RC) 用气体交换数据来估计FE.
- 为了评估来自气体数据的FE估计,与直接料摄入量测量相比.
- 评估使用GF系统在乳牛群中进行实际FE评估的可行性.
主要方法:
- 在一项涉及GF系统测量和RC测量的研究中,使用了32只北欧红色奶牛.
- 测量了气体交换参数,包括剩余CO2产量 (RCO2),剩余O2消耗 (RO2) 和剩余热产量 (RHP).
- 使用测量的料摄入量和气体交换数据计算FE;方法和系统进行了比较.
主要成果:
- 使用CO2或O2数据与能量校正牛奶 (ECM) 产量的模型显示出比ECM+体重模型更小的预测误差.
- GF系统对RO2 (R2 = 0.68) 和RHP (R2 = 0.67) 与RC有很好的一致性,其中75%的排名最高的奶牛在系统之间一致.
- RCO2解释了57%的残留ME摄入量变化,从气体数据 (ECM/CO2) 估计的FE与来自DMI (ECM/DMI) 的FE有很强的相关性.
结论:
- 使用GF系统从气体数据中估计FE是一种有前途的方法,用于在农场条件下对奶牛进行排名.
- GF系统为直接测量料摄入量提供了一个切实可行的替代方案,用于评估奶牛群的FE.
- 具有较低RCO2的奶牛表现出更好的料效率,每单位ECM产生更少的甲,并且具有更高的食消化能力.
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