McNamara J P, Auldist M J, Marett L C, Moate P J, Wales W J
Department of Animal Sciences, Washington State University, Pullman 99164-6310.
Agriculture Research Division, Department of Environment and Primary Industries, Ellinbank, VIC 3821, Australia.
J Dairy Sci. 2017 Feb;100(2):1095-1106. doi: 10.3168/jds.2016-11016. Epub 2016 Nov 23.
Effective pasture supplementation is critical to the efficiency of resource management in milk production. We understand a great deal about ruminal and metabolic processes in dairy cattle that control efficiency but we need to improve our ability to predict effects of practical feeding strategies based on the basic biological processes of the cow. Therefore, a large-scale pasture supplementation study was used to explore the details of both practical management and the underlying biological principles and processes involved. This included a multiple lactation study coupled with shorter-term experiments that tested the type and rate of supplementation. Basal supplementation strategies were (1) pasture allowance [14 kg of dry matter (DM)/d per cow] supplemented with milled barley grain fed twice daily in the milking parlor and pasture silage provided in the paddock; the ratio of grain:forage fed as supplement was 0.75:0.25 (control; DM basis); (2) the same pasture allowance plus the same amounts of milled barley grain and pasture silage, but the supplements were mixed and chopped before being fed immediately after each milking; and (3) the same pasture allowance and offered a partial mixed ration comprising barley (25%) and corn grain (30% of DM), corn silage (20% of DM), and alfalfa hay (25% of DM) after each milking. In late lactation (227 d in milk), a short-term experiment was done feeding the same pasture allowances but with the 3 supplements offered at 6, 8, 10, and 12 kg of DM/d for an 11-d measurement period following adaptation to the diet to each of the 3 long-term supplementation groups. Production responses were recorded and ruminal volatile fatty acids (VFA) and pH were measured in a subset of animals. Model descriptions of yields of milk and milk constituents as well as mean concentrations of ruminal fluid VFA and ruminal fluid pH were compared with measured values resulting when dairy cows were fed 12 different pasture-based diets with different levels and types of dietary supplement. Inputs into the model were measured dry matter intake and feed composition on the 12 combined treatments as well as initial body weight and composition. The model described milk and milk component production within 1 standard deviation of the treatment means (less than 5% of the mean as measured in the root mean square error). The simulated proportions of ruminal acetate, propionate, and butyrate were consistent with observed effects of supplemental treatments and rate of supplementation; however, the error analysis showed room for improvement. The model described, to a general extent, the changes in ruminal pH; however, this investigation showed that the equations that describe ruminal pH need to be improved or modified. These results show that the fundamental knowledge of ruminal and organ metabolism in this mechanistic model is sufficient to describe the qualitative responses to complicated dietary strategies, but our quantitative understanding of the parameters involved such as degradation and absorption kinetics and ruminal pH still demands more specific research.
有效的牧场补饲对于奶牛生产中资源管理的效率至关重要。我们对控制奶牛效率的瘤胃和代谢过程了解很多,但我们需要提高基于奶牛基本生物学过程预测实际饲养策略效果的能力。因此,开展了一项大规模的牧场补饲研究,以探索实际管理细节以及所涉及的潜在生物学原理和过程。这包括一项多胎次泌乳研究以及测试补饲类型和补饲率的短期实验。基础补饲策略如下:(1)牧场供应量为[每头奶牛每天14千克干物质(DM)],在挤奶厅每日两次补饲碾碎的大麦谷物,并在围场提供牧场青贮饲料;作为补饲的谷物与草料的比例为0.75:0.25(对照组;以干物质计);(2)相同的牧场供应量加上相同数量的碾碎大麦谷物和牧场青贮饲料,但补饲物在每次挤奶后立即投喂前进行混合和切碎;(3)相同的牧场供应量,每次挤奶后提供一种部分混合日粮,其包含大麦(占干物质的25%)、玉米粒(占干物质的30%)、玉米青贮料(占干物质的20%)和苜蓿干草(占干物质的25%)。在泌乳后期(产奶227天),开展了一项短期实验,给予相同的牧场供应量,但对3个长期补饲组中的每组在适应日粮后的11天测量期内分别按每天6、8、10和12千克干物质投喂3种补饲物。记录生产反应,并对一部分动物测量瘤胃挥发性脂肪酸(VFA)和pH值。将牛奶和牛奶成分产量以及瘤胃液VFA平均浓度和瘤胃液pH值的模型描述与给奶牛饲喂12种不同水平和类型日粮补充物的基于牧场的日粮时得到的测量值进行比较。模型的输入参数为12种组合处理的测量干物质摄入量和饲料组成以及初始体重和组成。该模型描述的牛奶和牛奶成分产量在处理均值的1个标准差范围内(以均方根误差测量,小于均值的5%)。模拟的瘤胃乙酸、丙酸和丁酸比例与补饲处理和补饲率的观察效果一致;然而,误差分析表明仍有改进空间。该模型在总体上描述了瘤胃pH值的变化;然而,这项研究表明描述瘤胃pH值的方程需要改进或修正。这些结果表明,该机理模型中瘤胃和器官代谢的基础知识足以描述对复杂日粮策略的定性反应,但我们对所涉及参数(如降解和吸收动力学以及瘤胃pH值)的定量理解仍需要更具体的研究。