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Maximum Profit Feed Formulation of Broilers: 1. Development of a Feeding Program Model to Predict Profitability Using non Linear Programming

机译:肉鸡的最大利润饲料配方:1.使用非线性规划开发饲料程序模型以预测利润率

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Maximum Profit Feed Formulation (MPFF) is proposed as a new approach to formulation of broiler diets which predicts the best profit for given ingredient and broiler prices, nutrient requirements and performance. Absolute and relative equations for body weight and feed intake as a function of Dietary Nutrient Density (DND) were developed and included into the objective function of Maximum Profit Programming 3.0. Maximum performance and profitability were compared in terms of DND. Factors such as livability, temperature, processing cost, ingredient and broiler prices, starting and ending broiler prices as well as comparisons of two dynamic models, Body Weight (BW) or cut-up parts (CW), were evaluated to determine changes in DND and to compare the profitability between MPFF and Least-cost Feed Formulation (LCFF). Starter, grower and finisher DND were calculated from the mean of DND obtained by the MPFF. The maximum performances for cut-up parts and body weight were 3.250 and 3.300 ME kcal/g of DND respectively using simulations of the calculated equations, whereas the maximum profits for them were at 3.169 and 3.177 ME kcal/g respectively using the MPFF. Livability slightly decreased the DND, while temperature and processing cost did not affect the DND. However, the ingredient and broiler prices did affect the DND. As broiler meat or corn price increased, the DND was also increased but as the price of soybean meal or poultry oil increased, the DND tended to decrease. For the above variables, use of the MPFF resulted in better profits than did use of LCFF. As expected, the use of ending broiler prices produced better profitability than use of starting broiler prices. If the starting broiler prices were used, the MPFF resulted in higher profits than with LCFF and had similar pattern in profits as ending prices. The dynamic model CW estimated a narrower range of DND compared with those of dynamic model BW. Both dynamic models were more profitable than those of the LCFF model. Starter, grower and finisher DND decreased as the bird aged. This new formulation method can be used to complement least cost formulation to get the best profitability and is recommended for Ross male lines (on which the performance data was developed) with the static nutrient requirement and ingredients used. Requirements for other strains should be quantified by dose-response.
机译:建议采用最大利润饲料配方(MPFF)作为肉鸡日粮配方的新方法,该方法可以预测给定原料和肉鸡价格,营养需求和性能的最佳利润。体重和饲料摄入量作为膳食营养密度(DND)的函数的绝对和相对方程式已开发,并包含在Maximum Profit Programming 3.0的目标函数中。根据DND比较了最高性能和获利能力。评估了宜居性,温度,加工成本,原料和肉鸡价格,起始和结束肉鸡价格以及两个动态模型(体重(BW)或减量零件(CW))的比较等因素,以确定DND的变化并比较MPFF和最低成本饲料配方(LCFF)的获利能力。从MPFF获得的DND平均值计算出起子,生长者和整理者DND。使用所计算的方程式模拟,切碎部件和体重的最大性能分别为3.250和3.300 ME kcal / g DND,而使用MPFF的最大利润分别为3.169和3.177 ME kcal / g。宜居性略微降低了DND,而温度和处理成本并未影响DND。但是,原料和肉鸡价格确实影响了DND。随着肉类或玉米价格的上涨,DND也随之增加,但是随着豆粕或禽油价格的上涨,DND趋于下降。对于上述变量,使用MPFF比使用LCFF可获得更好的利润。不出所料,采用期末肉鸡价格比采用期初肉鸡价格能产生更好的利润。如果使用起始的肉鸡价格,MPFF的利润要比LCFF高,并且利润与结束价格相似。与动态模型BW相比,动态模型CW估计的DND范围更窄。两种动态模型都比LCFF模型更有利可图。初学者,成年者和育成者的DND随着鸡的年龄而降低。这种新的配方方法可用于补充成本最低的配方以获得最佳的获利能力,并建议用于具有静态营养需求和所用成分的Ross雄性系(已开发了性能数据)。其他菌株的要求应通过剂量反应来量化。

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