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Appropriate statistical methods to compare dose responses of methionine sources
1E-Sci, DBA, Olivet, MI 49076, USA. thistledew@direcway.com
Poultry Science
|May 6, 2006
Summary
The common plateau model incorrectly assumes DL-methionine (DLM) and HMTBA have similar dose-response curves. New analysis shows their relative bioefficacy (RBE) varies with usage level, not a single value.
Area of Science:
- Animal Nutrition and Feed Science
- Statistical Modeling in Biological Assays
- Methionine Bioavailability Research
Background:
- Commercial feed formulations utilize DL-2-hydroxy-4-(methylthio) butanoic acid (HMTBA) and DL-methionine (DLM) for methionine activity.
- Debate persists regarding the relative bioefficacy (RBE) of HMTBA versus DLM despite decades of use.
- The nonlinear common plateau asymptotic regression (NLCPAR) technique has been applied to compare these methionine sources.
Purpose of the Study:
- To critically evaluate the validity of the NLCPAR model's assumptions for comparing HMTBA and DLM bioefficacy.
- To investigate whether HMTBA and DLM exhibit common dose-response curves and plateaus.
- To determine the appropriate statistical model for accurately assessing the RBE of HMTBA and DLM.
Main Methods:
- Review of the NLCPAR technique and its underlying assumptions regarding methionine source bioefficacy.
- Application of nonlinear separate plateaus asymptotic regression (NLSPAR) to 13 published broiler studies.
- Statistical testing of the common plateau hypothesis using NLSPAR versus NLCPAR models.
Main Results:
- The assumption of a common dose-response curve between HMTBA and DLM was not supported by the data.
- The hypothesis of a common plateau for HMTBA and DLM was statistically rejected (P < 0.01).
- The NLSPAR model provided a significantly better fit, indicating that RBE varies with the level of use for both methionine sources.
Conclusions:
- The NLCPAR methodology is misapplied for estimating the RBE of HMTBA and DLM due to flawed assumptions.
- Separate plateau models (NLSPAR) are more appropriate for comparing HMTBA and DLM, reflecting their differing dose-response relationships.
- Accurate predictions of differences between HMTBA and DLM require utilizing models that account for varying RBE at different usage levels.
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