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A mathematical model for estimation of optimum broiler production period under the economic conditions of Turkey

机译:在土耳其经济条件下估算最佳肉鸡生产期的数学模型

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摘要

Using mathematical methods and statistical techniques, the present paper explains the current economic characterization of broiler meat production under the economic conditions of Turkey. State of the art of econometrical modelling and the classic method currently used for regulatory decision-making in the world are described. Based on this evaluation; needs for future research are defined. It is concluded from our work that mathematical modelling of economically optimal production time would improve economic profitability. The classical method of economic optimization in animal production would not be suitable for all kinds of economic assessments, and that a range of different approaches is necessary so that the method used is the most appropriate for the data available and for the economic risk characterization issue. Future refinements to classical evaluation should incorporate more clearly the extent of uncertainity and variability in the resulting output. In this study, the basic data used for evaluation were food intake, weight gain, food cost, cumulative weight gain, cumulative chicken cost and marginal net income (MNI). After the mathematical function between production period and MNI was calculated, the optimum production period was predicted. Then, total MNI was estimated by integration of the calculated mathematical function.
机译:本文使用数学方法和统计技术,解释了在土耳其经济条件下当前肉鸡生产的经济特征。描述了计量经济学建模的最新技术以及当前世界上用于监管决策的经典方法。基于此评估;确定了未来研究的需求。从我们的工作可以得出结论,对经济上最佳生产时间进行数学建模可以提高经济效益。动物生产中经济优化的经典方法不适用于所有类型的经济评估,因此有必要采用多种不同的方法,以使所使用的方法最适用于可用数据和经济风险表征问题。未来对经典评估的改进应更清楚地将结果输出中不确定性和可变性的程度纳入考虑范围。在这项研究中,用于评估的基本数据是食物摄入量,体重增加,食物成本,累积体重增加,累积鸡成本和边际净收入(MNI)。计算了生产期和MNI之间的数学函数后,可以预测最佳生产期。然后,通过对所计算的数学函数进行积分来估算总MNI。

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