Experimental design, statistical analysis and modelling of dietary nutrient requirement studies for fish: a critical review

By Shearer. 2000

296 citations recorded by the source corpus.

A limited survey of published reports on dietary nutrient requirement estimates for fish (three journals, 46 papers) indicates that broken-line analysis and analysis of variance (ANOVA) are often used to estimate nutrient requirements from dose‐response data. The application of regression models using published treatment mean values to re-evaluate estimates was possible using 33 of these reports. Re-evaluation suggests that the broken-line method and ANOVA frequently underestimate the requirement. Regression produced estimates that averaged approximately twice, but were up to five times the published requirement. Additional problems that prevented re-evaluation or produced errors in the original estimates were: failure to include nutrient levels high enough to produce a maximum response, failure to space nutrient input levels closely enough to adequately model the dose‐response relationship, an apparent failure to screen data before analysis, and insuAcient model diagnosis. Examples from the literature are presented to illustrate how design, method of analysis and the choice of model aAect the requirement estimate. The eAects of measurement frequency and the experiment duration on the resulting requirement estimate are discussed. A set of protocols is presented to help improve nutrient requirement estimates.

Subfields: Aquatic Science, Nature and Landscape Conservation, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/2f0deb5c619894699c0bf60aa24a07db200a23ca

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aquatic Science

  1. G. Turchini
  2. Wing Ng
  3. B. Torstensen
  4. T. Gaylord
  5. Humberto Villarreal-Colmenares
  6. R. Civera-Cerecedo
  7. E. Cortés‐Jacinto
  8. R. Martínez‐Córdova

In Nature and Landscape Conservation

  1. Humberto Villarreal-Colmenares
  2. R. Civera-Cerecedo
  3. E. Cortés‐Jacinto
  4. R. Martínez‐Córdova
  5. Rhys C. Hauler
  6. Wing Ng
  7. B. Torstensen
  8. G. Turchini

In Water Science and Technology

  1. Humberto Villarreal-Colmenares
  2. R. Civera-Cerecedo
  3. E. Cortés‐Jacinto
  4. R. Martínez‐Córdova
  5. Rhys C. Hauler
  6. Wing Ng
  7. B. Torstensen
  8. G. Turchini

Citations in the corpus