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首页> 外文学位 >From hypothesis to practice: Use of a log-linear model to predict and evaluate the response of non starch polysaccharide enzymes in poultry feeds.
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From hypothesis to practice: Use of a log-linear model to predict and evaluate the response of non starch polysaccharide enzymes in poultry feeds.

机译：从假设到实践：使用对数线性模型预测和评估家禽饲料中非淀粉多糖酶的反应。

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摘要

Enzymes have been widely used as a feed additive to improve growth performance of poultry and domestic animal. However, it has not been possible to accurately predict and evaluate the response obtained with a given dose of a specific enzyme preparation. The objective of this research was to determine if a new mathematical approach, a log-linear prediction model equation, could be used to predict and evaluate the response of chicks to a dietary enzyme supplementation. Two dose-response experiments with Leghorn chicks and those from several publications were studied to determine whether a simple general equation could be used to predict the relationship between the amount of a feed enzyme added to a diet and chick performance. An in vitro dietary viscosity assay was developed to determine whether it could be used in conjunction with the model as the predictor or evaluator. The results demonstrated that the model was able to accurately predict (high r2 values) the response of chicks fed diets containing the different amounts of an enzyme and different proportions of two cereals. The slope of the model was a measure of the efficacy of the feed enzyme. The efficacy, in turn, was able to correctly evaluate the effects of different feed enzymes when added to a diet and to identify the target cereal for an enzyme. In addition, a Multi-purpose Enzyme Analyzer has been developed based on the model. The analyzer was able to determine the optimal amount of an enzyme and a substituted cereal that should be used in a diet for maximal profit, and to determine the amounts and the expected prices of the enzyme and cereal that will yield a given profit. Therefore, the effect of a feed enzyme could be evaluated using maximal profit as a criterion. Thus, the most profitable effect of different feed enzymes and the cereals that should be used for a given feed enzyme could be determined. Furthermore, a dietary viscosity assay has been developed. The results indicated that there was a linear relationship between the log of dietary viscosity change measured by the assay and the log of amount of enzyme added to a diet (r2 = 0.99, P 0.005). The values from the assay were able to predict the response of chicks to a feed enzyme and also evaluate the efficacy of different feed enzymes, especially for those enzymes that hydrolyzed the viscous compounds in the diet. These studies demonstrated that the response of chicks to a feed enzyme and the efficacy of the enzyme could be predicted and evaluated on the basis of a log-linear model using different criteria (performance and economic return), and different type of studies (in vivo and in vitro).
机译：酶已被广泛用作饲料添加剂，以改善家禽和家畜的生长性能。然而，不可能精确地预测和评估在给定剂量的特定酶制剂下获得的反应。这项研究的目的是确定是否可以使用一种新的数学方法（对数线性预测模型方程式）来预测和评估雏鸡对膳食酶补充剂的反应。研究了来格霍恩雏鸡的两个剂量响应实验以及来自多个出版物的剂量响应实验，以确定是否可以使用简单的通用方程式来预测添加到饮食中的饲料酶量与雏鸡生产性能之间的关系。开发了体外饮食粘度测定法，以确定它是否可以与模型一起用作预测剂或评估剂。结果表明，该模型能够准确预测（高r 2 值）饲喂日粮中含有不同量的酶和不同比例的两种谷物的雏鸡的反应。模型的斜率是进料酶功效的量度。反过来，该功效能够正确评估添加到饮食中的不同饲料酶的效果，并确定酶的目标谷物。此外，基于该模型还开发了一种多功能酶分析仪。分析仪能够确定应在饮食中使用的酶和谷物的最佳用量，以获取最大的利润，并确定可产生给定利润的酶和谷物的数量和预期价格。因此，可以使用最大利润作为标准来评估饲料酶的作用。因此，可以确定不同饲料酶和应用于给定饲料酶的谷物的最有利的效果。此外，已经开发了饮食粘度测定法。结果表明，通过该测定法测得的饮食粘度变化的对数与添加到饮食中的酶量的对数之间存在线性关系（r 2 = 0.99，P <0.005）。测定的值能够预测雏鸡对饲料酶的反应，还可以评估不同饲料酶的功效，特别是对于那些水解日粮中粘性化合物的酶而言。这些研究表明，可以在对数线性模型的基础上，使用不同的标准（性能和经济回报）和不同类型的研究（体内），预测和评估雏鸡对饲料酶的反应和酶的功效。和体外）。

著录项

  • 作者

    Zhang, Zhiqun.;

  • 作者单位

    The University of Manitoba (Canada).;

  • 授予单位 The University of Manitoba (Canada).;
  • 学科 Agriculture Animal Culture and Nutrition.; Biology Biostatistics.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 177 p.
  • 总页数 177
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 饲料;生物数学方法;
  • 关键词

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