Department of Animal and Poultry Science, Virginia Tech, Blacksburg 24060.
US Dairy Forage Research Center, Madison, WI 53706.
J Dairy Sci. 2017 Dec;100(12):9569-9584. doi: 10.3168/jds.2017-12766. Epub 2017 Oct 4.
The objective of this work was to leverage equations derived in a meta-analysis into an ensemble modeling system for estimating dietary physical and chemical characteristics required to maintain desired rumen conditions in lactating dairy cattle. Given the availability of data, responsiveness of ruminal pH to animal behaviors, and the chemical composition and physical form of the diet, mean ruminal pH was chosen as the primary rumen environment indicator. Physically effective fiber (peNDF) is defined as the fraction of neutral detergent fiber (NDF) that stimulates chewing activity and contributes to the floating mat of large particles in the rumen. The peNDF of feedstuffs is typically estimated by multiplying the NDF content by a particle size measure, resulting in an estimated index of effectiveness. We hypothesized that the utility of peNDF could be expanded and improved by dissociating NDF and particle size and considering other dietary factors, all integrated into a physically adjusted fiber system that can be used to estimate minimum particle sizes of TMR and diet compositions needed to maintain ruminal pH targets. Particle size measures of TMR were limited to those found with the Penn State particle separator (PSPS). Starting with specific diet characteristics, the system employed an ensemble of models that were integrated using a variable mixture of experts approach to generate more robust recommendations for the percentage of dietary DM material that should be retained on the 8-mm sieve of a PSPS. Additional continuous variables also integrated in the physically adjusted fiber system include the proportion of material (dry matter basis) retained on the 19- and 8-mm sieves of the PSPS, estimated mean particle size, the dietary concentrations of forage, forage NDF, starch, and NDF, and ruminally degraded starch and NDF. The system was able to predict that the minimum proportion of material (dry matter basis) retained on the 8-mm sieve should increase with decreasing forage NDF or dietary NDF. Additionally, the minimum proportion of dry matter material on the 8-mm sieve should increase with increasing dietary starch. Results of this study agreed with described interrelationships between the chemical and physical form of diets fed to dairy cows and quantified the links between NDF intake, diet particle size, and ruminal pH. Feeding recommendations can be interpolated from tables and figures included in this work.
这项工作的目的是利用荟萃分析中得出的方程,建立一个综合模型系统,用于估计维持泌乳奶牛瘤胃理想条件所需的饮食物理和化学特性。鉴于数据的可用性、瘤胃 pH 对动物行为的反应性以及日粮的化学组成和物理形式,选择平均瘤胃 pH 作为主要的瘤胃环境指标。物理有效纤维(peNDF)定义为中性洗涤纤维(NDF)的一部分,它刺激咀嚼活动,并有助于瘤胃中大颗粒的浮动垫。饲料的 peNDF 通常通过将 NDF 含量乘以颗粒尺寸测量值来估计,从而产生估计的有效性指数。我们假设,通过分离 NDF 和颗粒尺寸并考虑其他饮食因素,可以扩展和改进 peNDF 的效用,将所有这些因素整合到一个物理调整纤维系统中,该系统可用于估计 TMR 的最小颗粒尺寸和维持瘤胃 pH 目标所需的饮食组成。TMR 的颗粒尺寸测量仅限于宾夕法尼亚州立大学颗粒分离器(PSPS)中发现的那些。从特定的饮食特性开始,该系统采用一组模型,通过使用专家混合的变量集成方法,生成更稳健的建议,即日粮 DM 材料中应保留在 PSPS 的 8 毫米筛网上的比例。在物理调整纤维系统中还集成了其他连续变量,包括在 PSPS 的 19 毫米和 8 毫米筛网上保留的物质(干物质基础)的比例、估计的平均颗粒尺寸、饲草料的浓度、饲草料 NDF、淀粉和 NDF 以及瘤胃降解的淀粉和 NDF。该系统能够预测,保留在 8 毫米筛网上的物质(干物质基础)的最小比例应随饲草料 NDF 或日粮 NDF 的降低而增加。此外,8 毫米筛网上干物质材料的最小比例应随日粮淀粉的增加而增加。这项研究的结果与给奶牛饲喂的日粮化学和物理形式之间的描述性关系一致,并量化了 NDF 摄入量、日粮颗粒尺寸和瘤胃 pH 之间的联系。可以从本工作中的表格和图中进行插值得出饲养建议。