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首页> 外文期刊>Journal of fisheries and aquatic science >Use of Stochastic Programming in Least-cost Feed Formulation for African Catfish ( Clarias gariepinus ) in Semi-intensive Culture System in Nigeria
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Use of Stochastic Programming in Least-cost Feed Formulation for African Catfish ( Clarias gariepinus ) in Semi-intensive Culture System in Nigeria

机译:尼日利亚半集约化养殖系统中的随机程序设计在非洲Cat鱼(Clarias gariepinus)低成本饲料配方中的应用

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摘要

This study was undertaken to capture nutrient variability in least-cost feed formulation for African catfish ( Clarias gariepinus ) using stochastic programming technique. The aim was to minimize the risk of not meeting the nutrient requirements through under formulation and overformulation which will result in high cost. Five isonitrogenous (32% CP), isocaloric (2800 kcal kg-1) and isolipidic (6.00% lipids) diets were formulated. The control diet was formulated using linear programming technique at 50% probability level while the test diets were formulated by stochastic programming technique at 50, 60, 70, 80 and 85% probability levels. The formulated rations were tested on catfish fingerlings (20.15-20.50 g) twice daily for 6 days a week in triplicate groups of experiments for 150 days in earthen ponds for growth performance and feed utilization . Result indicated an improved formula quality as the formulation progressed from 60 to 85% probability level thereby taking care of the nutrient variability problem. Growth performance and feed utilization parameters were significantly (0.05; 0.01 and 0.001) better in the test diets. Stochastic programming is a better approach as compared to linear programming especially in solving nutrients variability which is the linear programming disadvantage. Additionally, stochastic programmings advantages are minimizing cost and the variability of nutrients is accounted for in the formulation.
机译:这项研究是采用随机程序设计技术来捕获非洲cat鱼(Clarias gariepinus)成本最低的饲料配方中的营养成分变异性。目的是通过配制不足和过度配制来最大程度地降低不满足营养要求的风险,这将导致高成本。配制了五种等氮(32%CP),等热量(2800 kcal kg-1)和等脂(6.00%脂质)日粮。对照饮食采用线性编程技术以50%的概率水平配制,而测试饮食则通过随机编程技术以50%,60、70、80和85%的概率水平配制。每天两次在lic鱼鱼种(20.15-20.50 g)上进行两次定量试验,每周三次,共6天,在土池中进行150天实验,以提高生长性能和饲料利用率。结果表明,随着配方从60%上升到85%的概率水平,配方质量得到改善,从而解决了营养素变异性问题。在测试日粮中,生长性能和饲料利用率参数显着提高(0.05; 0.01和0.001)。与线性规划相比,随机规划是一种更好的方法,尤其是在解决营养素可变性方面,这是线性规划的缺点。另外,随机程序设计的优点是使成本最小化,并且在配方中考虑了养分的可变性。

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