Centre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, N1G 2W1, Guelph, Ontario, Canada; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, N1G 2W1, Guelph, Ontario, Canada.
Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, N1G 2W1, Guelph, Ontario, Canada.
J Dairy Sci. 2019 Sep;102(9):7655-7663. doi: 10.3168/jds.2019-16454. Epub 2019 Jun 27.
Feed efficiency has been widely studied in many areas of dairy science and is currently seeing renewed interest in the field of breeding and genetics. A critical part of determining how efficiently an animal utilizes feed is accurately measuring individual dry matter (DM) intake. Currently, multiple methods are used to measure feed intake or determine the DM content of that feed, resulting in different levels of accuracy of measurement. Furthermore, the scale at which data need to be collected for use in genetic analyses makes some methodologies impractical. This systematic review aims to provide an overview of the current methodologies used to measure both feed intake in ruminants and DM content of feedstuffs, current methods to predict individual DM intake, and applications of large-scale intake measurements. Overall, advances in milk spectral data analysis present a promising method of estimating individual DM intake on a herd scale with further validation of prediction models. Although measurements of individual feed intake rely on the same underlying principle, the methods selected are largely dictated by the costs of capital, labor, and necessary analyses. Finally, DM methodologies were synthesized into a comprehensive protocol for use in a variety of feedstuffs.
在乳品科学的许多领域,饲料效率已经得到了广泛的研究,目前在育种和遗传学领域再次引起了人们的兴趣。准确测量动物对饲料的干物质(DM)摄入量是确定动物利用饲料效率的关键部分。目前,有多种方法可用于测量饲料摄入量或确定饲料的 DM 含量,从而导致测量的准确性存在不同程度的差异。此外,用于遗传分析的数据收集规模使得某些方法不切实际。本系统评价旨在概述目前用于测量反刍动物饲料摄入量和饲料 DM 含量的方法、目前用于预测个体 DM 摄入量的方法以及大规模摄入量测量的应用。总体而言,牛奶光谱数据分析的进展为在畜群规模上估计个体 DM 摄入量提供了一种很有前途的方法,进一步验证了预测模型。尽管个体饲料摄入量的测量依赖于相同的基本原理,但所选方法在很大程度上取决于资本、劳动力和必要分析的成本。最后,DM 方法被综合为一个综合协议,用于各种饲料。