UNASSIGNED: Data from 41 trials with multiple energy levels (285 observations) were used in a meta-analysis to predict growth performance based on dietary NE concentration. Nutrient and energy concentrations in all diets were estimated using the NRC ingredient library. Predictor variables examined for best fit models using Akaike information criteria included linear and quadratic terms of NE, BW, @entity2723 , @entity4628 ( @entity4628 ) Lys, crude fiber, NDF, ADF, fat, ash, and their interactions. The initial best fit models included interactions between NE and @entity2723 or @entity4628 Lys. After removal of the observations that fed @entity4628 Lys below the suggested requirement, these terms were no longer significant. Including dietary fat in the model with NE and BW significantly improved the G:F prediction model, indicating that NE may underestimate the influence of fat on G:F. The meta-analysis indicated that, as long as diets are adequate for other nutrients (i.e., Lys), dietary NE is adequate to predict changes in ADG across different dietary ingredients and conditions. The analysis indicates that ADG increases with increasing dietary NE and BW but decreases when BW is above 87 kg. The G:F ratio improves with increasing dietary NE and fat but decreases with increasing BW. The regression equations were then evaluated by comparing the actual and predicted performance of 543 finishing @entity1707 in 2 trials fed 5 dietary treatments, included 3 different levels of NE by adding @entity3505 middlings, @entity1460 hulls, dried distillers grains with solubles (DDGS; 8 to 9% oil), or choice white grease (CWG) to a @entity4336 - @entity1460 meal-based diet. Diets were 1) 30% DDGS, 20% @entity3505 middlings, and 4 to 5% @entity1460 hulls (low energy); 2) 20% @entity3505 middlings and 4 to 5% @entity1460 hulls (low energy); 3) a @entity4336 - @entity1460 meal diet (medium energy); 4) diet 2 supplemented with 3.7% CWG to equalize the NE level to diet 3 (medium energy); and 5) a @entity4336 - @entity1460 meal diet with 3.7% CWG (high energy). Only small differences were observed between predicted and observed values of ADG and G:F except for the low-energy diet containing the greatest fiber content (30% DDGS diet), where ADG and G:F were overpredicted by 3 to 6%. Therefore, the prediction equations provided a good estimation of the growth rate and feed efficiency of growing-finishing @entity1707 fed different levels of dietary NE except for the @entity1707 fed the low-energy diet containing the greatest fiber content.

Regression analysis to predict growth performance from dietary net energy in growing-finishing XXXX .

@entity1707 :: ('9823', 'Species') :: ['pigs'] @entity4628 :: ('MESH:D007077', 'Disease') :: ['SID', 'standardized ileal digestible'] @entity4336 :: ('381124', 'Species') :: ['corn'] @entity1460 :: ('3847', 'Species') :: ['soybean'] @entity3505 :: ('4565', 'Species') :: ['wheat'] @entity2723 :: ('MESH:C566991', 'Disease') :: ['CP']
@entity1707 :: (9823,Species) :: ['pigs']
