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Mathematical modeling of productive performance and intake of enzymes according to the NSP content of compound feed based on triticale

机译:基于黑小麦的配合饲料中NSP含量的生产性能和酶摄入的数学模型

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The aim of this work was to establish mathematical models of prediction of the main bioproductive indices and of the necessary enzymes in broilers depending on the content of compound feed in NSPs predominating in triticale in amount of 600 g to I kg mixed fodder. In this respect, an experiment has been done on broilers in order to establish experimental values of bioproductive indices and the content of compound feed in NSPs. This experiment lasted for a period of six weeks and was carried out on a group of 180 chickens distributed in three experimental variants as follows: the experimental group EG), fed forage with triticale in quantity of 600g/kg in its structure, EG fed forage with triticale in quantity of 600g/kg in its structure and xylanase in quantity of 100 ppm , the experimental group EG3 fed combined forage with incorporation of triticale in quantity of 600 g/kg and polyenzymatic complex (Endo-1,4-beta-glucanaza (complex cellulose), alpha-amylase (alpha-amylase) Bacillolysin (protease) and Endo-1,4-beta-xylanaza (xylanase), in quantity of 250 ppm. Based on experimental data obtained after administration of triticale based combined feed in quantity of 60% + additional enzymes to obtain a mathematical model of the form y=x/(ax+b) that can predict the intake of enzyme necessary for the chicks. Using a statistical software Data Fit 9, based on data obtained from an experiment on broilers fed a triticale-based CN (leading to increased NSP content) with additional enzymes to obtained a mathematical model of the form y=a/(1+bx) of predicting the body weight. Using a statistical software Data Fit 9 achieved a mathematical model of the form y=a+bx’ of predicting the index of food conversion in broilers fed a triticale-based NC with additional enzymes.
机译:这项工作的目的是建立一个数学模型来预测肉鸡的主要生物生产指数和必需的酶,具体取决于小黑麦中占600 g至1 kg混合饲料的NSP中复合饲料的含量。在这方面,已经对肉鸡进行了实验,以便确定生物生产指数和NSPs中复合饲料含量的实验值。该实验持续了六周的时间,对分布在三个实验变体中的180只鸡进行了如下实验:实验组EG),饲喂小黑麦草,其结构量为600g / kg,EG饲喂草料小黑麦草的结构量为600g / kg,木聚糖酶的量为100ppm,实验组EG3饲喂饲草,掺入600g / kg的小黑麦和多酶复合物(Endo-1,4-beta-glucanaza (复杂纤维素),α-淀粉酶(α-淀粉酶)杆菌素(蛋白酶)和Endo-1,4-β-木聚糖(木聚糖酶)的量为250 ppm,基于使用小黑麦为原料的混合饲料中获得的实验数据60%+其他酶的数量以获得y = x /(ax + b)形式的数学模型,该模型可以预测雏鸡必需的酶的摄入量。使用统计软件Data Fit 9,基于从饲喂三叉戟的肉鸡实验基于ale的CN(导致NSP含量增加)与其他酶的结合,获得了预测体重的形式为y = a /(1 + bx)的数学模型。使用统计软件,Data Fit 9获得了一种形式为y = a + bx'的数学模型,该模型可以预测以黑小麦为基础的NC饲喂其他酶的肉鸡的食物转化指数。

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