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Prediction of the nutritional value of European compound feeds for rabbits by chemical components and in vitro analysis

Abstract : Chemical composition and in vitro analyses were used to predict the nutritional value of 164 experimental rabbit diets evaluated in six European Laboratories under standardised conditions. The equations were mainly developed by stepwise regression analysis with over two third of the samples (111) used as calibration set. The other third (53) was used as validation set, and a study of the residues was undertaken to calculate the error of validation. Twenty three different equations have been proposed to predict the nutritional value (mainly gross energy digestibility, GEd; and digestible energy, DE) of rabbit diets, as a function of the available variables. Acid detergent fibre (ADFom) was the chemical variable most closely related to GEd and DE (R2 = 0.49 and 0.43, respectively, RSD = 0.033 and 0.62, for GEd and DE, respectively), but the in vitro DM digestibility (DMdinv) predicted the energy value with greater
Mots-clés : VALEUR NUTRITIONNELLE
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https://hal.inrae.fr/hal-02658435
Déposant : Migration Prodinra <>
Soumis le : samedi 30 mai 2020 - 12:12:27
Dernière modification le : lundi 31 août 2020 - 14:38:03

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M.J. Villamide, R. Carabaño, Luc Maertens, J. Pascual, Thierry Gidenne, et al.. Prediction of the nutritional value of European compound feeds for rabbits by chemical components and in vitro analysis. Animal Feed Science and Technology, Elsevier Masson, 2009, 150 (3-4), pp.283-294. ⟨10.1016/j.anifeedsci.2008.09.007⟩. ⟨hal-02658435⟩

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