Estimation of nutrient requirements using broken-line regression analysis1
University of Tennessee at Knoxville · Louisiana State University Agricultural Center
Abstract
We evaluated and compared various broken-line regression models and SAS (SAS Inst. Inc., Cary, NC) procedures for estimating nutrient requirements from nutrient dose response data. We used the SAS (Version 9) procedures NLIN and NLMixed and the response data of Parr et al. (2003), who evaluated the isoleucine requirement of growing swine. The SAS NLIN was used to fit 2 different broken-line regression models: a simple 2 straight-line, one-breakpoint model and a quadratic broken-line model in which the response below the single breakpoint was quadratic; there was a plateau above the breakpoint. The latter was fit using 2 different approaches in NLIN. We also used SAS NLMixed to fit 3 different broken-line…
Citation impact
- FWCI
- 24.95
- Percentile
- 100%
- References
- 4
Authors
3Topics & keywords
- Line (geometry)
- Quadratic equation
- Breakpoint
- Statistics
- Mathematics
- Computer science
- Algorithm
- Biology
- Zero hunger