title: Prediction of the net energy content of raw materials and compound feeds for ruminants by different laboratory methods.
abstract: In this study three different laboratory procedures were compared as predictors of net energy content of raw materials and compound feeds for ruminants. Laboratory measurements included an enzymatic technique (pepsin-cellulase method) and a rumen fluid technique (Hohenheim gas test). An estimate based on crude nutrients only was also tested. A total of 98 feed samples with known in vivo digestibility were available. By multivariate regression analysis equations for the prediction of the net energy content were calculated. The results suggest that in case of compound feeds for dairy the cellulase technique and the gas test are suitable in vitro techniques. With both procedures the relationships between energy contents estimated in vitro and energy contents measured in vivo showed residual errors of less than 4 percent. However for the evaluation of raw materials the gas test was superior. Compared to the cellulase technique the risk of extreme under- or overestimations is apparently reduced and this was found to be the case for own prediction equations as well as equations from literature. Crude nutrients proved to be very poor predictors for all feed samples.
authors.affiliation: Institute of Animal Nutrition, University of Hohenheim, Stuttgart, Germany.
authors.forename: K P
authors.initials: KP
authors.lastname: Aiple
authors.forename: H
authors.initials: H
authors.lastname: Steingass
authors.forename: W
authors.initials: W
authors.lastname: Drochner
mesh_terms: D000821:Animal Feed / Q000032:analysis / Q000592:standards*; D000818:Animals; D002417:Cattle / Q000378:metabolism / Q000502:physiology*; D002480:Cellulase; D004796:Clinical Enzyme Tests / Q000662:veterinary; D004063:Digestion / Q000502:physiology; D002149:Energy Intake; D004734:Energy Metabolism / Q000502:physiology*; D005260:Female; D008722:Methods; D010434:Pepsin A; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012417:Rumen / Q000378:metabolism / Q000382:microbiology
chemical_list: D002480:Cellulase; D010434:Pepsin A