Energy determination of corn co-products fed to broiler chicks from 15 to 24 days of age, and use of composition analysis to predict nitrogen-corrected apparent metabolizable energy

Abstract

An experiment (3 trials) was conducted to determine the AME(n) of 15 corn co-products obtained from various wet and dry milling plants, and to develop prediction equations for AME(n) based on chemical composition. Co-products included distillers dried grains with solubles (DDGS, n = 6), high-protein distillers dried grains (n = 2), corn germ (n = 2), corn germ meal, corn bran with solubles, corn gluten meal, corn gluten feed, and dehulled, degermed corn. Treatments (15) consisted of 85% inclusion of the corn-soybean meal basal diet combined with a 15% inclusion of each corn co-product, as well as a control diet containing glucose•H(2)O (15%) at the expense of the co-product. In each trial, Ross × Ross 708 chicks (10 birds per pen) were randomly assigned to 16 dietary treatments (12 replicate pens; 4 replicate pens per trial). After a 7-d diet acclimation period from 15 to 22 d of age, a 48-h total excreta collection was conducted for the determination of AME(n). Co-products were analyzed for gross energy, CP, moisture, crude fat, starch, crude fiber, ash, total dietary fiber, neutral detergent fiber, and acid detergent fiber, and hemicellulose was determined by difference. Stepwise regression resulted in the following equation: AME(n), kcal/kg of DM = 3,517 + (46.02 × % crude fat, DM basis) - (82.47 × % ash, DM basis) - (33.27 × % hemicellulose, DM basis) (R(2) = 0.89; SEM = 191; P ≤ 0.01). Removing hemicellulose from the model resulted in the following equation: AME(n), kcal/kg of DM = (-30.19 × % neutral detergent fiber, DM basis) + (0.81 × gross energy, kcal/kg of DM basis) - (12.26 × % CP, DM basis) (R(2) = 0.87; SEM = 196; P ≤ 0.01). These results indicate that nutrient composition may be used to generate AME(n) prediction equations for corn co-products fed to broiler chicks.

The correlationship between the metabolizable energy content, chemical composition and color score in different sources of corn DDGS

“…Furthermore, variable DDGS composition and instable quality may ultimately limit its use in poultry diets. Research had demonstrated the quality of DDGS could be evaluated based on color and chemical composition, because darker and high fiber content of DDGS results in lower TME [12-14] and amino acid digestibility [12,15-17]. However, there is little information about the correlation between ME content and chemical composition of DDGS from China.…”

Nitrogen-corrected True Metabolizable Energy and Amino Acid Digestibility of Chinese Corn Distillers Dried Grains with Solubles in Adult Cecectomized Roosters

“…Unlike the previous report, no proximate composition parameters were included in the model when gross energy and a * were in the equation. Rochell et al (2011) reported that nutrients including NDF, GE and CP can be used to generate AME n prediction equations for corn co-products (R 2 = 0.87), but they did not observe a correlation between AME n and GE (r = 0.214, p = 0.44). Gross energy was strongly correlated with TME n in the present study.…”

Phosphorus bioavailability, amino acid digestibility and metabolizable energy of broiler chick diets supplemented with low-oil distiller’s dried grains with solubles

“…Average apparent metabolizable energy values obtained from excreta of birds in this study (2828 and 2854 kcal/kg for DDGS-A and B respectively), were similar to those found in other work with either sorghum or corn-soybean based diets, supplemented with varying percentages of low oil or conventional DDGS. 21,24,[26][27][28] Moreover, Adeola and Zhai 28 found ileal digestible energy values of 2841 and 2659 kcal/kg in corn-soybean meal diets containing 30% or 60% of conventional DDGS respectively. Table 5.…”