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  • 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
  • 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 (en)
Title
  • Prediction of digestible energy content across feed ingredients and fish species by linear regression
  • Prediction of digestible energy content across feed ingredients and fish species by linear regression (en)
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  • Prediction of digestible energy content across feed ingredients and fish species by linear regression
  • Prediction of digestible energy content across feed ingredients and fish species by linear regression (en)
skos:notation
  • RIV/60076658:12520/09:00010330!RIV10-MSM-12520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6007665809)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 335440
http://linked.open...ai/riv/idVysledku
  • RIV/60076658:12520/09:00010330
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Digestible energy; Feed ingredients; Chemical composition; Prediction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [152AA6094605]
http://linked.open...i/riv/nazevZdroje
  • Fish Physiology and Biochemistry
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 35
http://linked.open...iv/tvurceVysledku
  • Sales, James
http://linked.open...ain/vavai/riv/wos
  • 000270171000001
http://linked.open...n/vavai/riv/zamer
issn
  • 0920-1742
number of pages
http://localhost/t...ganizacniJednotka
  • 12520
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