1Animal and Bioscience Research Department,Animal & Grassland Research and Innovation Centre, Teagasc,Grange, Dunsany, Co. Meath, C15 PW93,Ireland.
2Livestock Systems Research Department,Animal & Grassland Research and Innovation Centre,Teagasc,Grange,Dunsany,Co. Meath, C15 PW93,Ireland.
Animal. 2018 Sep;12(9):1815-1826. doi: 10.1017/S1751731118000976. Epub 2018 May 21.
Improvements in feed efficiency of beef cattle have the potential to increase producer profitability and simultaneously lower the environmental footprint of beef production. Although there are many different approaches to measuring feed efficiency, residual feed intake (RFI) has increasingly become the measure of choice. Defined as the difference between an animal's actual and predicted feed intake (based on weight and growth), RFI is conceptually independent of growth and body size. In addition, other measurable traits related to energy expenditure such as estimates of body composition can be included in the calculation of RFI to also force independence from these traits. Feed efficiency is a multifactorial and complex trait in beef cattle and inter-animal variation stems from the interaction of many biological processes influenced, in turn, by physiological status and management regimen. Thus, the purpose of this review was to summarise and interpret current published knowledge and provide insight into research areas worthy of further investigation. Indeed, where sufficient suitable reports exist, meta-analyses were conducted in order to mitigate ambiguity between studies in particular. We have identified a paucity of information on the contribution of key biological processes, including appetite regulation, post-ruminal nutrient absorption, and cellular energetics and metabolism to the efficiency of feed utilisation in cattle. In addition, insufficient information exists on the relationship between RFI status and productivity-related traits at pasture, a concept critical to the overall lifecycle of beef production systems. Overall, published data on the effect of RFI status on both terminal and maternal traits, coupled with the moderate repeatability and heritability of the trait, suggest that breeding for improved RFI, as part of a multi-trait selection index, is both possible and cumulative, with benefits evident throughout the production cycle. Although the advent of genomic selection, with associated improved prediction accuracy, will expedite the introgression of elite genetics for feed efficiency within beef cattle populations, there are challenges associated with this approach which may, in the long-term, be overcome by increased international collaborative effort but, in the short term, will not obviate the on-going requirement for accurate measurement of the primary phenotype.
提高肉牛的饲料效率有可能提高生产者的盈利能力,同时降低牛肉生产的环境足迹。虽然有许多不同的方法来衡量饲料效率,但剩余饲料摄入量(RFI)已越来越成为首选的衡量标准。RFI 定义为动物实际和预测饲料摄入量之间的差异(基于体重和生长),它在概念上与生长和体型无关。此外,与能量消耗相关的其他可衡量特征,如身体成分估计值,也可以包含在 RFI 的计算中,从而使其与这些特征独立。饲料效率是肉牛的一个多因素和复杂特征,动物之间的差异源于许多生物过程的相互作用,这些生物过程反过来又受到生理状态和管理方案的影响。因此,本综述的目的是总结和解释当前已发表的知识,并提供对值得进一步研究的研究领域的见解。事实上,在有足够合适的报告的情况下,我们进行了荟萃分析,以减轻研究之间的歧义。我们发现,关于关键生物学过程对牛饲料利用效率的贡献的信息很少,包括食欲调节、瘤后营养吸收以及细胞能量和代谢。此外,关于 RFI 状态与牧场生产力相关特征之间的关系的信息也不足,这是牛肉生产系统整个生命周期的关键概念。总体而言,关于 RFI 状态对终端和母体特征的影响的已发表数据,加上该特征的中度可重复性和遗传性,表明通过多特征选择指数进行改良 RFI 的选育是可行的且具有累积性,在整个生产周期都能带来益处。尽管基因组选择的出现,以及相关的预测准确性的提高,将加速优良饲料效率遗传基因在肉牛种群中的渗透,但这种方法存在挑战,从长期来看,这些挑战可能会通过增加国际合作努力来克服,但从短期来看,这不会消除对主要表型进行准确测量的持续需求。