首页> 外文期刊>Journal of dairy science >Short communication: Evaluation of the PREP10 energy-, protein-, and amino acid-allowable milk equations in comparison with the National Research Council model
【24h】

Short communication: Evaluation of the PREP10 energy-, protein-, and amino acid-allowable milk equations in comparison with the National Research Council model

机译:短期通信:与国家研究委员会模型相比,评估Prep10能量,蛋白质和氨基酸允许的牛奶方程

获取原文
获取原文并翻译 | 示例
       

摘要

The objective of this work was to evaluate the precision and accuracy of the milk yield predictions made by the PREP10 model in comparison to those from the National Research Council (NRC) Nutrient Requirements of Dairy Cattle. The PREP10 model is a ration-balancing system that allows protein use ef-ficiency to vary with production level. The model also has advanced AA supply and requirement calculations that enable estimation of AA-allowable milk (Milk_(AA)) based on 10 essential AA. A literature data set of 374 treatment means was collected and used to quanti-tatively evaluate the estimates of protein-allowable milk (Milk_(MP)) and energy-allowable milk yields from the NRC and PREP10 models. The PREP10 Milk_(AA) prediction was also evaluated, as were both models' estimates of milk based on the most-limiting nutrient or the mean of the estimated milk yields. For most milk estimates compared, the PREP10 model had re-duced root mean squared prediction error (RMSPE), improved concordance correlation coefficient, and re-duced mean and slope bias in comparison to the NRC model. In particular, utilizing the variable protein use efficiency for milk production notably improved the estimate of Milk_(MP) when compared with NRC. The PREP10 Milk_(MP) estimate had an RMSPE of 18.2% (NRC = 25.7%), concordance correlation coefficient of 0.82% (NRC = 0.64), slope bias of -0.14 kg/kg of predicted milk (NRC = -0.34 kg/kg), and mean bias of -0.63 kg (NRC = -2.85 kg). The PREP10 estimate of Milk_(AA) had slightly elevated RMSPE and mean and slope bias when compared with Milk_(MP). The PREP10 estimate of Milk_(AA) was not advantageous when com-pared with Milk_(MP), likely because AA use efficiency for milk was constant whereas MP use was variable. Future work evaluating variable AA use efficiencies for milk production is likely to improve accuracy and precision of models of allowable milk.
机译:这项工作的目的是评估预备型号模型的牛奶产量预测的精度和准确性,与国家研究委员会(NRC)乳品养牛的营养要求相比。 Prep10模型是一个配给平衡系统,允许蛋白质使用EF效力与生产水平不同。该模型还具有先进的AA供应和需求计算,可实现基于10个必需AA的AA允许的牛奶(Milk_(AA))。收集了374个处理装置的文献数据集,并用于量化评估来自NRC和Prep10模型的蛋白质可允许的蛋白质牛奶(Milk(MP))和能量允许的牛奶产量的估计。还评估了Prep10牛奶(AA)预测,根据基于最限制的营养素或估计的牛奶产率的平均值,牛奶估计的模型估计也是如此。对于比较的大多数牛奶估计,Prep10模型具有重新引起的根均方平方预测误差(RMSPE),改善了与NRC模型相比的均衡相关系数和重新引导的平均值和斜率偏置。特别是,利用牛奶生产的可变蛋白质使用效率显着提高了与NRC相比的乳汁(MP)的估计。 Prep10乳汁(MP)估计的RMSPE为18.2%(NRC = 25.7%),一致性相关系数为0.82%(NRC = 0.64),斜率偏置-0.14千克/千克预测牛奶(NRC = -0.34千克/ kg),并且平均偏置-0.63 kg(nrc = -2.85 kg)。与牛奶(MP)相比,牛奶(AA)的预备估计略微升高,平均值和斜坡偏压。当使用牛奶(MP)的可能是恒定的,而MP使用是可变的,牛奶(MP)的预备10估计对牛奶(MP)的含量不利而是有利的。未来的工作评估变量AA使用牛奶生产的效率可能提高允许牛奶型号的准确性和精确性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号