White R R, Roman-Garcia Y, Firkins J L, VandeHaar M J, Armentano L E, Weiss W P, McGill T, Garnett R, Hanigan M D
National Animal Nutrition Program, National Research Support Project 9, Virginia Tech, Blacksburg 24060; Department of Dairy Science, Virginia Tech, Blacksburg 24060.
Department of Animal Sciences, The Ohio State University, Columbus 43210.
J Dairy Sci. 2017 May;100(5):3591-3610. doi: 10.3168/jds.2015-10800. Epub 2017 Mar 2.
Evaluation of ration balancing systems such as the National Research Council (NRC) Nutrient Requirements series is important for improving predictions of animal nutrient requirements and advancing feeding strategies. This work used a literature data set (n = 550) to evaluate predictions of total-tract digested neutral detergent fiber (NDF), fatty acid (FA), crude protein (CP), and nonfiber carbohydrate (NFC) estimated by the NRC (2001) dairy model. Mean biases suggested that the NRC (2001) lactating cow model overestimated true FA and CP digestibility by 26 and 7%, respectively, and under-predicted NDF digestibility by 16%. All NRC (2001) estimates had notable mean and slope biases and large root mean squared prediction error (RMSPE), and concordance (CCC) ranged from poor to good. Predicting NDF digestibility with independent equations for legumes, corn silage, other forages, and nonforage feeds improved CCC (0.85 vs. 0.76) compared with the re-derived NRC (2001) equation form (NRC equation with parameter estimates re-derived against this data set). Separate FA digestion coefficients were derived for different fat supplements (animal fats, oils, and other fat types) and for the basal diet. This equation returned improved (from 0.76 to 0.94) CCC compared with the re-derived NRC (2001) equation form. Unique CP digestibility equations were derived for forages, animal protein feeds, plant protein feeds, and other feeds, which improved CCC compared with the re-derived NRC (2001) equation form (0.74 to 0.85). New NFC digestibility coefficients were derived for grain-specific starch digestibilities, with residual organic matter assumed to be 98% digestible. A Monte Carlo cross-validation was performed to evaluate repeatability of model fit. In this procedure, data were randomly subsetted 500 times into derivation (60%) and evaluation (40%) data sets, and equations were derived using the derivation data and then evaluated against the independent evaluation data. Models derived with random study effects demonstrated poor repeatability of fit in independent evaluation. Similar equations derived without random study effects showed improved fit against independent data and little evidence of biased parameter estimates associated with failure to include study effects. The equations derived in this analysis provide interesting insight into how NDF, starch, FA, and CP digestibilities are affected by intake, feed type, and diet composition.
评估诸如美国国家研究委员会(NRC)营养需求系列等日粮平衡系统,对于改进动物营养需求预测和推进饲养策略至关重要。这项工作使用了一个文献数据集(n = 550)来评估NRC(2001)奶牛模型对全消化道消化中性洗涤纤维(NDF)、脂肪酸(FA)、粗蛋白(CP)和非纤维碳水化合物(NFC)的预测。平均偏差表明,NRC(2001)泌乳奶牛模型分别高估了真实的FA和CP消化率26%和7%,并低估了NDF消化率16%。NRC(2001)的所有估计值都有显著的平均偏差和斜率偏差以及较大的均方根预测误差(RMSPE),一致性相关系数(CCC)范围从差到好。与重新推导的NRC(2001)方程形式(根据该数据集重新推导参数估计值的NRC方程)相比,使用针对豆类、玉米青贮、其他草料和非草料饲料的独立方程预测NDF消化率可提高CCC(0.85对0.76)。针对不同的脂肪补充剂(动物脂肪、油类和其他脂肪类型)以及基础日粮推导了单独的FA消化系数。与重新推导的NRC(2001)方程形式相比,该方程的CCC得到了改善(从0.76提高到0.94)。针对草料、动物蛋白饲料、植物蛋白饲料和其他饲料推导了独特的CP消化率方程,与重新推导的NRC(2001)方程形式相比,CCC得到了改善(从0.74提高到0.85)。针对特定谷物的淀粉消化率推导了新的NFC消化系数,假定残留有机物的消化率为98%。进行了蒙特卡洛交叉验证以评估模型拟合的重复性。在此过程中,数据被随机分成500次,形成推导数据集(60%)和评估数据集(40%),使用推导数据集推导方程,然后根据独立的评估数据集进行评估。带有随机研究效应推导的模型在独立评估中显示出较差的拟合重复性。在没有随机研究效应的情况下推导的类似方程对独立数据显示出更好的拟合,并且几乎没有证据表明与未纳入研究效应相关的参数估计存在偏差。本分析中推导的方程为深入了解NDF、淀粉、FA和CP消化率如何受摄入量、饲料类型和日粮组成的影响提供了有趣的见解。