title: A simple model for predicting the response of chicks to dietary enzyme supplementation.
abstract: Two experiments with Leghorn chicks and data from five publications were analyzed to determine whether a simple general equation could be used to predict the relationship between the amount of a crude enzyme added to a diet and chick performance. The maximum improvements in weight gain and feed: gain ratio in Leghorn chicks fed rye diets containing different concentrations of enzymes were as high as 61 and 42%, respectively. Regression analyses demonstrated that there was usually a high linear correlation (r2 > 0.9, P < 0.05) between the concentration of the enzyme when transformed into its logarithmic value and weight gain or the feed:gain ratio. The general prediction equation was Y = A + B(logX), where Y is the performance value (i.e., weight gain, grams), A is the intercept (y-axis), B is the slope of the line (change in performance per units of enzyme in the diet), and X is the amount of enzyme in the diet. The slope of the line provides an index of the overall efficacy of the enzyme treatment. The log-linear model shows that for every ninefold increase in amount of enzyme in the diet (i.e., when the amount was increased to 10 times the starting amount), there was only a doubling of improvement in chick performance. High correlations (r2 values) were also obtained when data from the literature were analyzed. The equation was applicable to different classes and ages of poultry fed diets containing rye, wheat, barley, and lupins. These studies demonstrate that there is a linear relationship between the amount of enzyme added to the diet, when expressed as a logarithmic value, and the corresponding performance of chickens.
authors.affiliation: Department of Animal Science, University of Manitoba, Winnipeg, Canada.
authors.forename: Z
authors.initials: Z
authors.lastname: Zhang
authors.forename: R R
authors.initials: RR
authors.lastname: Marquardt
authors.forename: G
authors.initials: G
authors.lastname: Wang
authors.forename: W
authors.initials: W
authors.lastname: Guenter
authors.forename: G H
authors.initials: GH
authors.lastname: Crow
authors.forename: Z
authors.initials: Z
authors.lastname: Han
authors.forename: M R
authors.initials: MR
authors.lastname: Bedford
mesh_terms: D000821:Animal Feed / Q000032:analysis / Q000592:standards*; D000818:Animals; D002645:Chickens / Q000254:growth & development* / Q000502:physiology; D004305:Dose-Response Relationship, Drug; D005527:Food, Fortified / Q000592:standards; D043326:Glucan 1,3-beta-Glucosidase; D016014:Linear Models; D008297:Male; D008954:Models, Biological; D011897:Random Allocation; D012044:Regression Analysis; D012434:Secale / Q000737:chemistry / Q000592:standards; D014908:Triticum / Q000737:chemistry / Q000592:standards; D015430:Weight Gain / Q000187:drug effects; D043325:Xylan Endo-1,3-beta-Xylosidase; D014995:Xylosidases / Q000008:administration & dosage / Q000032:analysis / Q000494:pharmacology*; D001617:beta-Glucosidase / Q000008:administration & dosage / Q000032:analysis / Q000494:pharmacology*
chemical_list: D014995:Xylosidases; D001617:beta-Glucosidase; D043325:Xylan Endo-1,3-beta-Xylosidase; D043326:Glucan 1,3-beta-Glucosidase