Determination and prediction of the net energy content of seven feed ingredients fed to growing pigs based on chemical composition

摘要: Two experiments were conducted to determine the net energy (NE) content of various feed ingredients (Exp. 1) and establish prediction equations for NE these same 2). In Exp. 1, 36 barrows (27.5 ± 0.5 kg) assigned six diets (in a completely randomised design) give replicates per diet. The corn-soybean meal basal diet five experimental containing either wheat, wheat bran, corn dried distillers grains with solubles (cDDGS), canola or cottonseed meal. pigs housed in open-circuit chambers (six at time balanced dietary treatment) 16 days, first 7 days used an adaptation diets, while next 5 fed ad libitum (2400 kJ/kg BW0.6·day–1), then 1 × metabolisable (ME) maintenance 3 followed by fasting 24 h. cDDGS, meal, 11.44, 7.78, 10.21, 8.38, 7.32 MJ/kg DM, respectively. Stepwise regression analysis performed between chemical composition value ingredients, allowed be accurately predicted from characteristics. best fit equation was: = 1.46 + (0.63 gross energy) – (0.37 acid detergent fibre), R2 0.94, residual standard deviation (RSD) 0.54 MJ/kg, P < 0.01. 2, (34.6 1.5 randomly allotted combinations corn, soybean each was determined results (including 2 four our laboratory published data). as follows: –0.47 (0.84 ME) RSD 0.20 0.01; –10.19 (0.97 digestible (0.08 starch) (0.05 fibre) 0.84, 0.46 0.01, summary, seven could better measured respiration calorimetry estimated substitution method. based on characteristics test than when using diets.