An improved enzymatic method by adding gammanase to determine digestibility and predict energy value of compund feeds and raw materials for cattle

Johan De Boever, BG Cottyn, José Vanacker, CV Boucque

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    Because the current pepsin-cellulase method of De Boever et al. (1986) (Animal Feed Science and Technology, 1986, 14: 203-214) underestimates the digestibility of palm kernel cake, the procedure was adapted by using a cellulase mixture and adding gammanase. In a comparative test on 28 currently used raw materials, the modified method not only increased the digestibility of palm kernel cake (+13.7% units), but also that of soya bean hulls (+4.7, whereas the other feeds were little affected. Further, new equations to predict metabolizable energy (ME) and net energy lactation (NEL) were derived for normal (n=61; ME 9.3-13.9; NEL 5.4-8.5 MJ kg(-1) DM) as well as for fibre rich (n=37; ME 3.8-12.7; NEL 1.9-7.6 MJ kg(-1) DM) compound feeds and raw materials. For normal concentrates, best multiple linear regressions based on the new enzymatic method (EN), the original pepsin-cellulase digestibility (CE) and on rumen fluid digestibility (RF) had similar residual standard deviations (RSD) of about 0.25 and 0.20 MJ kg(-1) DM for ME and NEL, respectively. For fibre-rich concentrates, the RSDs of RF equations were lower (ME 0.28; NEL 0.20 MJ kg(-1) DM) than those of EN equations (ME 0.43; NEL 0.28 MJ kg(-1) DM) and CE equations (ME 0.50; NEL 0.32 MJ kg(-1) DM). However, when validated, EN equations appeared more accurate than CE and RF equations and the use of tabular values; the ME of 28 mixed feeds was predicted with errors of 2.7 2.8 3.7% and 3.3 respectively, whereas for 16 raw materials the errors amounted to 3.3 3.6 5.0% and 4.3 respectively. Prediction errors with NEL equations were 0.5-1.1% higher.
    TijdschriftAnimal Feed Science and Technology
    Pagina's (van-tot)1-18
    Aantal pagina's18
    StatusGepubliceerd - 1-mei-1994

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