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Prediction of digestible energy content across feed ingredients and fish species by linear regression

Fish Physiology and Biochemistry volume 35, pages 551–565 (2009)Cite this article

Abstract

In an attempt to develop predictive relationships, apparent digestible energy (ADE) content (n = 361) as biological dependent variable and dietary contents of crude protein (CP), lipid, ash and gross energy (GE) as independent variables, obtained in 40 studies with 65 different feed ingredients and evaluated with 26 fish species, were subjected to linear correlation and multiple linear regression analysis. With dietary CP and GE contents identified as significant predictors, only 58% of the variation in ADE content could be explained. No improvement in accuracy of regression equations was gained by classification of values according to either feed ingredient (animal proteins, plant proteins, cereals) or fish species (water type, water temperature, feed habit). An R 2-value of 0.4570 and mean prediction error (MPE) of 0.2085 between predicted and observed ADE values from eight independent studies (n = 37) illustrated the inability of the derived regression equation to accurately predict ADE contents of feed ingredients. Inclusion of dietary crude fibre and nitrogen-free extract (NFE) contents as independent variables did not improve the accuracy of prediction equations. The inadequacy of the use of linear regression to predict DE content from dietary composition across feed ingredients and fish species with high accuracy is discussed.

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Fig. 1

Abbreviations

ADCE:

Apparent digestibility coefficient of gross energy

ADE:

Apparent digestible energy

CP:

Crude protein

GE:

Gross energy

MPE:

Mean prediction error

MSPE:

Mean square prediction error

NFE:

Nitrogen-free extract

RMSE:

Root mean square error

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Acknowledgement

This study was financially supported by Research Plan No. MSM 6007665809 of the University of South Bohemia Ceske Budejovice, Research Institute of Fish Culture and Hydrobiology in Vodnany, Czech Republic.

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  1. University of South Bohemia in Ceske Budejovice, Research Institute of Fish Culture and Hydrobiology, Zatisi 728, 38925, Vodnany, Czech Republic

    James Sales

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Sales, J. Prediction of digestible energy content across feed ingredients and fish species by linear regression. Fish Physiol Biochem 35, 551–565 (2009). https://doi.org/10.1007/s10695-008-9286-2

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Keywords

  • Digestible energy
  • Feed ingredients
  • Chemical composition
  • Prediction

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