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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

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Published on: September 18, 2018

Technical note: do dietary net energy values calculated from performance data offer increased sensitivity for

J T Vasconcelos1, M L Galyean

  • 1Department of Animal and Food Sciences, Texas Tech University, Lubbock 79409, USA. jvasconcelos2@unl.edu

Journal of Animal Science
|June 10, 2008
PubMed
Summary
This summary is machine-generated.

This study evaluated the statistical sensitivity of dietary net energy (NE) concentrations derived from animal performance data. Performance variables like body weight and feed intake were more sensitive indicators of treatment effects than calculated NE values.

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Area of Science:

  • Animal Nutrition
  • Statistical Modeling
  • Ruminant Metabolism

Background:

  • Dietary net energy (NE) concentrations are crucial for animal growth and performance.
  • Accurate calculation of NE relies on reliable performance data.
  • Evaluating the statistical sensitivity of calculated NE is important for nutritional research.

Purpose of the Study:

  • To assess the statistical sensitivity of dietary NE concentrations calculated from simulated animal performance data.
  • To compare the sensitivity of calculated NE values with direct performance variables (e.g., body weight, feed intake, growth rate, feed efficiency).

Main Methods:

  • A simulation technique using 100 hypothetical experiments for 3 distinct cases was employed.
  • Each experiment included control and treated groups (24 pens each) over 150 days.
  • Performance data (BW, DMI, ADG, G:F) were used to calculate dietary NE(m) and NE(g) concentrations.

Main Results:

  • Performance variables like final body weight (FBW) and average daily gain (ADG) showed higher statistical sensitivity than calculated NE values in most cases.
  • In Case 1, FBW differed in 96% of experiments, while NE differed in 42%.
  • In Case 2, FBW and ADG differed in 100% of experiments, but NE differed in only 23%.

Conclusions:

  • Performance variables (e.g., DMI, BW changes) driving NE calculations are more sensitive measures of treatment effects than the calculated NE values themselves.
  • While calculated dietary NE values can describe treatment effects, they generally do not offer statistical advantages in sensitivity over the performance variables used.
  • Directly analyzing performance metrics provides a more statistically sensitive assessment of treatment impacts in nutritional studies.