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首页> 外文期刊>Journal of animal science >Energetic efficiency and the first law: the California net energy system revisited
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Energetic efficiency and the first law: the California net energy system revisited

机译:能源效率和第一定律:重新审视加利福尼亚的净能源系统

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摘要

Models of energy utilization used in livestock production predict input:output relationships well, for all the wrong reasons. Predictive accuracy in such models is not due to fidelity to biochemistry and laws of thermodynamics, but because they were developed to predict accurately, often with little regard to biochemical consistency. Relatively static linear statistical models limit thermodynamically relevant descriptions of energy utilization, especially maintenance, in growing beef cattle and are inadequate research tools, in either ordinary least squares (OLS) or Bayesian frameworks. Metabolizable energy intake (MEI) at recovered energy (RE) = 0 (MEm) and efficiencies of ME utilization for maintenance (km) and gain (kg) were estimated for 3 independent data sets using OLS or Bayesian frameworks. Estimates of MEm differed (P 0.05) between OLS and Bayesian estimates and were not unique, indicating model misspecification. Bayesian estimates of MEm were monotonic, positive, and nonlinear f(MEI); the range was from 6.74 to 14.8 Mcal/d. Estimates of km, the ratio of heat energy (HE) at MEI = 0 to MEm, for the 3 data sets averaged 0.590 for OLS solutions, or 0.616 for the first derivative (km, dHE/dMEI for RE = 0) of a first-order function. The first derivative (dHE/dMEI) of the OLS function was 1.0 for MEI 22.1 Mcal/d, counter to the laws of thermodynamics and indicated model misspecification. The Bayesian estimate of km (0.420) differed (P 0.05) from the OLS estimate and was consistent with the efficiency of ATP synthesis. Efficiency of ME use for gain for RE 0 (kg, OLS solutions) averaged 0.397, solutions were nonunique and single-variable OLS models were misspecified (P 0.050) for 2 of the 3 data sets. The OLS estimate of kg differed (P 0.05) from the estimate of kg (0.676) determined in a Bayesian framework; the latter was calculated as dRE/dMEI for RE 0. For OLS estimates km kg; for estimates determined in a Bayesian framework km kg, the former is inconsistent, while the latter is consistent with the thermodynamic favorability of reactions underlying maintenance and gain. Our results show that the use of relatively fixed coefficients of maintenance in current feeding standards, mathematical descriptions of metabolic processes and concepts regarding efficiencies of energy utilization in those systems need modification to be consistent with animal biology and the laws of thermodynamics.
机译:出于所有错误的原因,畜牧生产中使用的能源利用模型可以很好地预测输入:输出关系。此类模型中的预测准确性不是由于对生物化学的忠诚和热力学定律,而是因为它们是为准确预测而开发的,通常很少考虑生物化学的一致性。相对静态的线性统计模型限制了生长中肉牛能量利用的热力学相关描述,尤其是维持能量的描述,并且在普通最小二乘(OLS)或贝叶斯框架中都是不足的研究工具。使用OLS或贝叶斯框架,对3个独立数据集估算了回收能量(RE)= 0(MEm)时的代谢能摄入(MEI)以及维护,利用ME的维护效率(km)和增益(kg)。 Om和贝叶斯估计之间的MEm估计不同(P <0.05),并且不是唯一的,表明模型规格不正确。 MEm的贝叶斯估计为单调,正和非线性f(MEI);范围是6.74至14.8 Mcal / d。 3个数据集的km的估计值,即MEI = 0到MEm的热能(HE)的平均值,OLS解决方案的平均值为0.590,一阶导数的km(dHE / dMEI的RE = 0)平均值为0.616顺序功能。当MEI> 22.1 Mcal / d时,OLS函数的一阶导数(dHE / dMEI)> 1.0,这与热力学定律和模型错误指定相反。公里的贝叶斯估计值(0.420)与OLS估计值有所不同(P <0.05),并且与ATP合成的效率一致。对于RE> 0(kg,OLS解决方案),ME用于增益的效率平均为0.397,解决方案是非唯一的,并且对于3个数据集中的2个,错误指定了单变量OLS模型(P <0.050)。 OLS的千克估计值与贝叶斯框架中确定的千克估计值(0.676)不同(P <0.05);对于RE> 0,后者计算为dRE / dMEI。对于在km

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