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利用商业反刍感应系统的数据确定反刍与牛奶脂肪浓度和脂肪酸组成之间的关系。

Determination of relationships between rumination and milk fat concentration and fatty acid profile using data from commercial rumination sensing systems.

机构信息

Department of Animal Science, The Pennsylvania State University, University Park 16802.

Penn State Extension, Leesport, PA 19533.

出版信息

J Dairy Sci. 2021 Aug;104(8):8901-8917. doi: 10.3168/jds.2020-19860. Epub 2021 May 21.

Abstract

Milk fat production is highly influenced by nutrition and rumen fermentation. Rumination is an essential part of the ruminant digestive process and can serve as an indicator of rumen fermentation. The objective of this research was to quantify variation in rumination time between and within dairy herds and test for relationships between rumination time and milk fat production and fatty acid (FA) profile as a proxy of rumen fermentation. Our hypothesis was that rumination may indicate disruptions to rumen fermentation and that cows that spent less time ruminating would have lower milk fat due to these rumen disruptions. Data were collected from 1,733 Holstein cows on 5 commercial dairy farms (4 in Pennsylvania and 1 in New York) of 200 to 700 head using 1 of 2 commercially-available rumination sensing systems, CowManager SensOor ear tags (Agis Automatisering BV) or SCR model HR-LDn neck collars (SCR Engineers). Rumination data were collected for 7 consecutive days leading up to a DHIA test, summed within day, then averaged to obtain mean daily minutes of rumination time. Milk samples from the DHIA test were analyzed for fat content by mid-infrared spectroscopy and for milk FA profile by gas chromatography. Rumination data were analyzed using multiple linear regression models. Rumination time was related to concentration of specific odd- and branched-chain and trans FA in milk but was not directly related to milk fat concentration. Rumination time also did not contribute to models predicting milk fat concentration after accounting for other cow-level variables. There was a linear relationship between trans-10 C18:1 and rumination time that was positive after accounting for the effect of farm (partial R of 2.97% across all data, 4.24% in SCR data, and 2.22% in CowManager data). Although rumination time was not related directly to milk fat, it was associated with differences in trans and odd- and branched-chain FA that have been demonstrated to change during subacute ruminal acidosis or biohydrogenation-induced milk fat depression, which may affect milk fat and other production variables. These associations suggest that further investigation into using rumination data from commercial systems to predict or identify the presence of these conditions is warranted.

摘要

乳脂的生成受到营养和瘤胃发酵的强烈影响。反刍是反刍动物消化过程的重要组成部分,可作为瘤胃发酵的指标。本研究的目的是量化不同奶牛场和场内奶牛间反刍时间的变化,并检验反刍时间与乳脂生成和脂肪酸(FA)谱的关系,以作为瘤胃发酵的替代指标。我们的假设是,反刍可能表明瘤胃发酵受到干扰,反刍时间较短的奶牛由于瘤胃受到干扰,乳脂产量会较低。数据来自宾夕法尼亚州的 4 家和纽约州的 1 家 5 家商业奶牛场的 200 至 700 头荷斯坦奶牛,使用了 2 种市售的反刍感应系统中的 1 种收集数据,即 Agis Automatisering BV 的 CowManager SensOor 耳标或 SCR Engineers 的 SCR 模型 HR-LDn 颈圈。在进行 DHI 检测前,连续 7 天收集反刍数据,每天内累加,然后取平均值得到每天的平均反刍时间。DHI 检测中的牛奶样本通过中红外光谱法分析脂肪含量,通过气相色谱法分析牛奶 FA 谱。使用多元线性回归模型分析反刍数据。反刍时间与牛奶中特定奇数和支链及反式 FA 的浓度有关,但与乳脂浓度无关。在考虑其他奶牛水平变量后,反刍时间对预测乳脂浓度的模型没有贡献。反刍时间与反式-10 C18:1 之间存在线性关系,在考虑到农场效应后为正(所有数据的偏 R2 为 2.97%,SCR 数据为 4.24%,CowManager 数据为 2.22%)。尽管反刍时间与乳脂直接无关,但它与已证明在亚急性瘤胃酸中毒或生物氢化诱导乳脂下降期间发生变化的反式和奇数及支链 FA 有关,这可能会影响乳脂和其他生产变量。这些关联表明,有必要进一步研究使用商业系统中的反刍数据来预测或识别这些情况的存在。

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