Department of Dairy Science, Virginia Tech, Blacksburg 24060.
US Dairy Forage Research Center, USDA Agricultural Research Service, Madison, WI 53706.
J Dairy Sci. 2017 Dec;100(12):9551-9568. doi: 10.3168/jds.2017-12765. Epub 2017 Oct 4.
Physically effective neutral detergent fiber (peNDF) is the fraction of neutral detergent fiber (NDF) that stimulates chewing activity and contributes to the floating mat of large particles in the rumen. Multiplying dietary NDF by particle size has been used as an estimate of peNDF. In re-evaluating the concept of peNDF, we compared the use of peNDF as dietary NDF × particle size with the use of individual NDF and particle size descriptors (physically adjusted NDF; paNDF) when used with other physical and chemical diet descriptors to predict dry matter (DM) intake (DMI), rumination time, and ruminal pH in lactating dairy cows. The purpose is to ultimately use these equations to estimate diet adequacy to maintain ruminal conditions. Each response variable had 8 models in a 2 (peNDF, paNDF) × 2 (diet, diet and ruminal factors) × 2 (DM, as fed basis) factorial arrangement. Particle size descriptors were those determined with the Penn State Particle Separator. Treatment means (n = 241) from 60 publications were used in backward elimination multiple regression to derive models of response variables. When available, peNDF terms entered equations. Models containing peNDF terms had similar or lower unadjusted concordance correlation coefficients (an indicator of similar or lower accuracy and precision) than did models without peNDF terms. The peNDF models for rumen pH did not differ substantially from paNDF models. This suggests that peNDF can account for some variation in ruminal pH; however, overt advantages of peNDF were not apparent. Significant variables that entered the models included estimated mean particle size; as fed or DM proportions retained on 19- and 8-mm sieves of the Penn State Particle Separator; DMI; dietary concentrations of forage; forage NDF; CP; starch; NDF; rumen-degraded starch and rumen-degraded NDF; and the interaction terms of starch × mean particle size, acid detergent fiber/NDF, and rumination time/DMI. Many dietary factors beyond particle size and NDF were identified as influencing the response variables. In conclusion, these results appear to justify the development of a modeling approach to integrate individual physical and chemical factors to predict effects on factors affecting rumen conditions.
物理有效中性洗涤纤维(peNDF)是中性洗涤纤维(NDF)的一部分,它刺激咀嚼活动,并有助于在瘤胃中形成大颗粒的浮动垫。将饮食 NDF 乘以粒径已被用作 peNDF 的估计值。在重新评估 peNDF 的概念时,我们比较了使用 peNDF 作为饮食 NDF×粒径与使用单个 NDF 和粒径描述符(物理调整 NDF;paNDF)的情况,这些描述符与其他物理和化学饮食描述符一起用于预测泌乳奶牛的干物质(DM)摄入量(DMI)、反刍时间和瘤胃 pH。目的是最终使用这些方程来估计饮食充足性以维持瘤胃条件。每个响应变量在 2(peNDF,paNDF)×2(饮食,饮食和瘤胃因素)×2(DM,进料基础)因子设计中有 8 个模型。粒径描述符是用宾夕法尼亚州立粒子分离器确定的。从 60 篇文献中选择 241 个处理均值,用于向后消除多元回归,以推导出响应变量的模型。如果可用,peNDF 项将进入方程。包含 peNDF 项的模型具有相似或较低的未调整一致性相关系数(表示相似或较低的准确性和精密度),而不包含 peNDF 项的模型则没有。瘤胃 pH 的 peNDF 模型与 paNDF 模型没有显著差异。这表明 peNDF 可以解释一些瘤胃 pH 的变化;然而,peNDF 的明显优势并不明显。进入模型的重要变量包括估计的平均粒径;宾夕法尼亚州立粒子分离器 19 毫米和 8 毫米筛上的进料或 DM 比例;DMI;饲料中的纤维浓度;饲料 NDF;CP;淀粉;NDF;瘤胃降解淀粉和瘤胃降解 NDF;以及淀粉×平均粒径、酸性洗涤纤维/NDF 和反刍时间/DMI 的互作项。除了粒径和 NDF 之外,还有许多饮食因素被确定为影响响应变量。总之,这些结果似乎证明了开发一种建模方法来整合个体物理和化学因素以预测对影响瘤胃条件的因素的影响是合理的。