Estimation of Nutrient Requirements from Growth Data

作者: Kelly R. Robbins , Horace W. Norton , David H. Baker

DOI: 10.1093/JN/109.10.1710

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摘要: Two least squares methods of estimating nutrient requirements from growth data were compared. One method involved fitting a broken line by the squares. The requirement was taken as abscissa breakpoint in curve. other an appropriate exponential function to and point on fitted curve whose ordinate 95% upper asymptote. For nine sets studied, provided adequate fits for only six. nonlinear models all studied. When both chosen model fits, estimated nearly same. However, consistently good obtained with suggest that this approach may generally be more useful.

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