Go to Top Go to Bottom
Anim Biosci > Volume 38(3); 2025 > Article
Yoon and Kong: Apparent metabolizable energy concentration and ileal amino acid digestibility in cereal grains fed to broiler chickens

Abstract

Objective

This study aimed to determine apparent metabolizable energy concentrations and ileal amino acid (AA) digestibility in cereal grains and to compare those metabolizable energy values between the total collection and index methods for 21-day-old broilers.

Methods

On day 17 post-hatch, a total of 336 Ross 308 male broilers were assigned to 6 dietary treatments with 8 replicate cages (7 birds/cage). Five experimental diets were formulated to incorporate non-extruded corn, extruded corn, wheat, wheat flour, and barley as the sole source of AA and energy.

Results

Retention of dry matter and nitrogen, and energy concentrations in cereal grains determined by the total collection method were greater (p<0.05) than those determined by the index method. Energy concentrations of non-extruded and extruded corn were greater (p<0.05) than those of wheat, wheat flour, and barley. Wheat flour exhibited greater (p<0.05) ileal AA digestibility than non-extruded and extruded corn. Extruded corn and wheat showed comparable ileal AA digestibility values, whereas barley had the lowest among cereal grains.

Conclusion

Energy concentrations of cereal grains determined by the total collection method were greater than those determined by the index method. Energy concentrations of non-extruded and extruded corn were greater compared to wheat, wheat flour, and barley, irrespective of the method used. The ileal AA digestibility in wheat flour was the greatest, followed by non-extruded corn, extruded corn, wheat, and barley in broilers.

INTRODUCTION

Cereal grains serve as a major dietary source of energy and carbohydrates, with up to 40% of the annual cereal grain production utilized for animal feed [1]. Global annual yields of corn and wheat have surged to 1,148 and 766 million metric tons, respectively, followed by rice and barley at 755 and 159 million metric tons, respectively [1]. However, the nutrient availability of cereal grains exhibits significant variability, owing to factors such as cultivars, harvest timing, and growing and processing conditions [2]. Understanding variations in the availability of nutrients in cereal grains is essential to optimize their utilization in the animal diet.
Ensuring optimal concentrations of amino acids (AA) in animal diets is critical to achieve desired growth performance and cost-effectiveness in animal production. Achieving accurate feed formulation, based on digestible AA concentrations, relies on evaluating the AA digestibility of feed ingredients. The AA digestibility of feed ingredients for pigs and broilers is typically evaluated at the terminal ileum to prevent hindgut fermentation [3]. The apparent ileal digestibility (AID) of AA can be determined using the index method by measuring the amounts of dietary AA intake and ileal AA output. Standardized ileal digestibility (SID) values are then calculated by correcting the AID for basal endogenous losses (BEL) of AA. Therefore, SID values have been suggested to provide more predictable estimates for mixed diets in pigs and broilers [4,5].
Determining the energy concentrations of feed ingredients is imperative to minimize feed costs and improve feed efficiency in broilers. Total quantity of energy in feed ingredients can be categorized into gross energy (GE), digestible energy, metabolizable energy (ME), and net energy. The most widely used system for evaluating the energy value of feed ingredients for poultry is through apparent ME (AME) or nitrogen (N)-corrected AME (AMEn) [6]. Two primary collection methods employed for energy evaluation of feed ingredients are the total collection method and the index method [6,7]. Previous studies have highlighted the impact of collection method on ME concentrations and nutrient digestibility of broiler diets [8,9]. However, there is a dearth of comparative studies examining the ME concentrations of cereal grains as determined using the total collection method and the index method.
Therefore, the objectives of the present study were to determine the AME concentrations and ileal AA digestibility of cereal grains and to compare the energy concentrations of cereal grains between the total collection and index methods for 21-day-old broiler chickens.

MATERIALS AND METHODS

Experimental procedures were reviewed and approved by the Institute for Animal Care and Use Committee of Kyungpook National University, Republic of Korea (approval number: KNU 2022-0177).

Ingredients and dietary treatments

Five commercially available cereal grains (non-extruded corn, extruded corn, wheat, wheat flour, and barley) were obtained from a local feed supplier in mash form. The energy, chemical, and nutrient compositions of cereal grains are shown in Table 1. The extruded corn was processed using a single-screw extruder (EX620 Matador, Andritz Inc., Graz, Austria) with a die diameter of 12 mm. The extrusion process was performed at 95°C for 50 seconds.
The ileal AA digestibility and AME were determined using the direct method. A N-free diet was prepared to estimate the BEL of AA, as described by Adedokun et al [10]. Five dietary treatments were formulated, each containing one of the cereal grains as the sole source of energy and AA (Table 2). These experimental diets were formulated to meet or exceed the recommended mineral and vitamin levels according to Ross 308 broiler nutrition specifications [11]. Chromium oxide (5 g/kg) was incorporated into all experimental diets as an indigestible index.

Animals and experimental design

Day-old Ross 308 male broiler chickens were obtained from a local hatchery (Samhwa Breeding, Hongseong, Korea). The birds were initially raised in floor pens (2×2 m) within an environmentally controlled room until they were assigned to their respective dietary treatments. Birds were fed a broiler pre-starter crumble diet (218.2 g/kg crude protein [CP] and 2,998 kcal/kg AMEn) until day 11, followed by a broiler starter crumble diet (192.8 g/kg CP and 2,919 kcal/kg AMEn) from day 11 to 17. On day 17 post-hatch, birds were randomly selected from the floor pens, tagged with identification numbers, and transferred to wire-floored battery cages (60×50×60 cm) within an environmentally controlled room under continuous 24 hours lighting. A total of 336 birds were then allocated to 6 dietary treatments with 8 replicates (7 birds/cage) in a randomized complete block design based on body weight as a blocking factor. The birds were provided experimental diets in mash form for 4 days, the feed and water were offered ad libitum throughout the experiment from day 1 to 21. The room temperature was maintained at 33°C for the first 4 days and gradually decreased by 2°C weekly up to day 21.

Sample collection

Each period consisted of 2-day adaptation period followed by 2-day excreta collection period. Excreta were collected using the total excreta collection method over 2-day collection period [6]. Waxed paper was placed in trays beneath the cage to collect the excreta, which were gathered twice daily at 0800 and 2000 h. Excreta samples were pooled within each cage, and both the feed intake (FI) and total excreta output were recorded over the 2-day collection period.
On day 21 post-hatch, all birds were euthanized using carbon dioxide asphyxiation. Ileal digesta was collected from the distal two-thirds of the ileum, which constitutes the portion of the small intestine from Meckel’s diverticulum to 1 cm anterior to the ileo-cecal junction. The collected ileal digesta samples were gently rinsed with distilled water and pooled within each cage. The collected excreta and ileal digesta samples were stored in a freezer at −20°C prior to analysis.

Chemical analysis

The experimental diets were ground using a mill grinder (CT293 Cyclotec; Foss Ltd., Hilleroed, Denmark) through a 1-mm screen for nutrient analysis. Excreta samples were dried in a forced-air drying oven at 55°C and ground to a particle size of less than 1 mm for the analysis. Ileal digesta samples were lyophilized (Vacuum freeze dryer; Samwon Engineering, Busan, Korea) and subsequently ground using a mortar and pestle. The dry matter (DM; method 930.15), CP (method 990.03), ether extract (EE; method 920.39), ash (method 942.05), starch (method 996.11), neutral detergent fiber (method 2002.04), and acid detergent fiber (ADF; method 973.18) contents in the samples were determined. Experimental diets and ileal digesta samples were analyzed for AA content (method 982.30 E [a and b]; [12]). The GE was determined using an adiabatic bomb calorimeter (Parr 6300; Parr Instruments Co., Moline, IL, USA) with benzoic acid serving as a calibration standard. Chromium contents were analyzed according to the method described by Fenton and Fenton [13].

Calculations

All data were expressed on a DM basis. Energy concentrations of ingredients and test diets were calculated using the following equations:
AME of test diet (kcal/kg)=(dietary GE intake-excreta GE output)/FI,AMEs of test diet (kcal/kg)=AME-Fc×(0.5×Ndiet-Noutput)/FI×10-3,AMEn of test diet (kcal/kg)=AME-Fc×(Ninput-Noutput)/FI×10-3,Energy concentration of ingredient (kcal/kg)=energy concentration of test diet×(100/inclusion rates of cereal gains)
where dietary GE intake (kcal), excreta GE output (kcal), and FI (kg) were based on a 2-day collection period; Ninput (g) represents the amount of N ingested; Noutput (g) indicates the amount of N voided via excreta; Fc represents the correction factor of 8.22 kcal/g for retained N for birds. The standardized AME (AMEs) value was adjusted for N retention equivalent to a standardized 50% of N intake, corresponding to practical N retention [14]. The AMEn value was calculated by correcting for zero N retention using the factor of 8.22 kcal/g of retained N [15].
The coefficients of AID and SID of AA in experimental diets and BEL of AA in birds were calculated using the following equations [16]:
AID=1-[(Crdiet/Crileal digesta)×(AAileal digesta/AAdiet)],BEL (g/kg of DM intake)=(Crdiet/Crileal digesta)×(AAileal digesta),SID=AID+(BEL/AAdiet)
where Crdiet (%) represents the concentration of chromium in the diet; Crileal digesta (%) indicates the concentration of chromium in the ileal digesta; AAdiet (%) is the concentration of AA in the diet; AAileal digesta (%) indicates the concentration of AA in the ileal digesta.

Statistical analysis

Energy concentrations of cereal grains were analyzed using two-way analysis of variance (ANOVA) with the general linear model procedure of SAS (SAS Inst. Inc., Cary, NC, USA). The source of ingredient, method, and interaction were considered fixed variables. The ileal AA digestibility of cereal grains was analyzed using one-way ANOVA. Treatment means were separated using Tukey’s honestly significant difference test. The experimental unit was a cage, and statistical significance was declared at p<0.05.

RESULTS

Dry matter and N retention, and energy concentrations in cereal grains

The DM retention of cereal grains did not exhibit (p>0.05) an interactive effect between the collection method and the source of ingredient (Table 3). The total collection method yielded significantly greater (p<0.05) DM retention of cereal grains compared to the index method. Both non-extruded and extruded corn showed greater DM retention (p<0.05) compared to wheat, wheat flour, and barley. Significant interaction effects (p<0.05) were observed between the collection method and the source of ingredients for N retention, AME-to-GE ratio (AME:GE), AME, AMEs, and AMEn. The N retention, AME:GE, and energy values obtained from the total collection method were greater (p<0.05) than those from the index method. As for the total collection method, N retention, AME:GE, and energy concentrations of both non-extruded and extruded corn were not different and were greater (p<0.05) than those of wheat, wheat flour, and barley. However, with the index method, the N retention of non-extruded corn was the greatest among cereal grains, extruded corn and barley were intermediate, followed by wheat and wheat flour (p<0.05). Additionally, both non-extruded and extruded corn exhibited greater (p<0.05) AME:GE and energy concentrations compared to wheat, wheat flour, and barley, as determined by the index method. Furthermore, the AME and AMEs of barley derived from the index method were lower (p<0.05) compared to wheat and wheat flour.

Amino acid digestibility in cereal grains

Wheat flour had the greatest AID and SID of N and AA among the cereal grains (Tables 4, 5). The AID and SID of N and AA, except for Arg, Leu, Lys, Met, Ala, and Asp, was greater (p<0.05) in wheat flour compared to non-extruded corn and extruded corn. The AID of AA, except for Ala and Cys, was greater (p<0.05) in the non-extruded corn than in extruded corn. Extruded corn showed comparable (p>0.05) AID of AA to wheat, except for Leu, Ala, Asp, Cys, Glu, and Pro. However, the AID of N and AA in barley, except for Arg, Lys, Thr, Val, and Asp, was lower (p<0.05) compared to the other cereal grains. Non-extruded corn exhibited greater (p<0.05) SID of AA, except for Ala, compared to extruded corn. The SID of AA in extruded corn, except for Arg, Ala, Asp, Glu, and Pro, did not differ (p>0.05) from that in wheat. The SID of N and AA in barley, except for Arg, Lys, Thr, and Asp, was the lowest (p<0.05) among the cereal grains.

DISCUSSION

The energy and nutrient compositions in non-extruded corn, wheat, and barley in the present study fell within the range of reported values [2,1720]. However, the reported ranges showed variations in nutrient compositions depending on factors such as growing region, seeding time, and processing conditions [21].
Given that the extruded corn and wheat flour were obtained from a local feed company, any differences between extruded and non-extruded corn, and wheat and wheat flour, may have been due to their source of origin rather than differences in processing methods. Therefore, the present study aims to compare these extruded corn and wheat flours with their conventional counterparts. First, it is important to note that the nutritional compositions in cereal grains may have been altered through the extrusion and milling processes. Extrusion processing involves subjecting grains to consistent cooking under pressure, moisture, and high temperatures, which can improve nutrient digestibility by altering the physicochemical characteristics of grain particles [22]. One notable transformation induced by extrusion is the gelatinization of starch in cereal grains, believed to enhance both nutrient digestibility and palatability [23]. Meanwhile, when proteins in feed ingredients are exposed to heat, the extent of heat damage can be estimated by calculating Lys as a percentage of CP [24]. In the present study, a numerical decrease (from 3.8% to 3.4%) in Lys as a percentage of CP was observed when comparing extruded corn to conventional non-extruded corn from the study of An and Kong [16]. This suggests that the protein in extruded corn may have been damaged during the extrusion process. Thermal degradation can be attributed to both the temperature and duration of extrusion. According to Stein and Bohlke [25], the optimal extrusion temperature ranges from 75°C to 115°C. In the present study, the extrusion temperature was maintained at 95°C, falling within this established range. However, the previous study lacked specific data on extrusion duration. It is plausible that the duration of extrusion in the present study was excessive, potentially leading to increased thermal degradation in the extruded corn. On the other hand, wheat by-products, derived from the industrial process of milling wheat, serve as alternative feedstuffs for animal production and are readily available in Canada and the United States [26]. Unlike wheat by-products, wheat flour is considered essential for human nutrition [27]. Although the higher cost of wheat flour might not make it ideal for animal production, evaluating the nutrient digestibility of wheat flour could prove beneficial if feasible [28]. In the present study, the starch content in wheat flour was numerically greater than that of conventional wheat [2]. The endosperm typically constitutes approximately 80% of a wheat grain’s weight [29]. Wheat co-products such as wheat bran and wheat middlings obtained during the wheat milling process contain relatively low starch concentrations, ranging from 229 to 429 g/kg, compared to wheat. Therefore, the increase in starch content in wheat flour may be partly attributed to the separation of wheat co-products from the endosperm during the milling process.
Energy utilization and concentrations of cereal grains, as determined using the total excreta collection method, were found to be greater than those determined using the index method. Prawirodigdo et al [30] reported that the apparent total tract N digestibility of diets determined using chromium oxide (Cr2O3) as an indigestible index was lower than that measured through the total fecal collection method for pigs. In a broiler study conducted by Roza et al [8], the ME of pelleted and mash diets, determined by the total collection method, was greater than that determined by the index method using chromium oxide as an indigestible index. Previous studies noted that the decrease in energy values in the index method may be attributed to the low recovery rates of the index compound. The reduced recovery rate of the index can lead to an increase in the indigestibility factor (ratio of chromium concentrations in the diet to chromium concentrations in excreta). The recovery rates of chromium were reported to be 78.9% and 70.5% in growing pigs and Greater rheas [31,32]. In the present study, the recovery of chromium was 69.9%, and this low chromium recovery might primarily stem from issues associated with the index compound. Differences in passage rates between nutrients and the index, uneven distributions due to the electrostatic characteristics of chromium oxide, and analytical errors can contribute to the reduced recovery rate of chromium [8,9]. Moreover, the total collection method for poultry may pose potential issues related to time-based collection, leading to instances where excreta are not collected in trays, and inaccurate excreta collection arises due to losses during tray emptying into containers. These factors may lead to an underestimation of the amount of excreta, thereby overestimating energy utilization and concentrations.
The energy utilization, AME, and AMEn values of non-extruded corn, wheat, and barley in the present study were equal to or exceeded those reported in previous studies [18, 33,34]. Discrepancies in energy values across studies were likely due to variations in feed ingredient cultivars, dietary compositions of experimental diets, duration of excreta collection, and methodological approaches [18]. Wu et al [35] emphasized that the key consideration lies in how the test ingredients should be incorporated into test diets to derive accurate energy values. In the poultry energy system, correcting AME to zero N retention is a widely adopted approach for expressing energy values in feed ingredients [15]. This correction aims to account for variations in energy values of feed ingredients, particularly in cases where experimental diets feature highly imbalanced AA and N contents [7]. Cozannet et al [14] reported that 50% of the N intake by poultry is retained by the body. Consequently, the AMEs value corrects for a representative proportion (50%) of N intake, offering a more practical correction for modern broiler production conditions. In the present study, the AMEs value of cereal grains showed an intermediate value between AME and AMEn. However, wheat and wheat flour exhibited greater AMEs values in contrast to both AME and AMEn, as determined by the index method. This discrepancy observed in the current study was attributed to N retention being less than 50%, potentially leading to a negative N retention equivalent to 50% of the N intake. Therefore, correcting AME to account for N retention resulted in values of 100.8% and 97.5% of the AME of wheat for AMEs and AMEn, respectively. Similarly, correcting AME to N retention resulted in values of 101.0% and 97.2% of the AME of wheat flour for AMEs and AMEn, respectively. As noted by Wise and Adeola [7], AMEs values likely align more closely to test diets that have better balanced AA and N contents.
In the present study, the energy values of extruded corn did not greatly differ from those of conventional non-extruded corn [34]. Despite corn primarily comprising starch, the extrusion process, which involves heat and moisture, is believed to enhance starch digestibility and improve the physical characteristics of feed ingredients [36]. Rodriguez et al [17] reported that extrusion of corn increased ileal starch digestibility, digestible energy, and AME in growing pigs compared to non-extruded corn. The inconsistent results between previous and current studies may arise from variations in energy and starch digestibility of corn. Rodriguez et al [17] observed coefficients of apparent total tract starch and energy digestibility in corn of 0.907 and 0.882, respectively. In contrast, Cervantes-Pahm et al [37] reported greater coefficients of apparent total tract digestibility for starch (0.997) and GE (0.913) in non-extruded corn, indicating its already high digestibility in the small intestine. Hence, the absence of differences between extruded corn and conventional non-extruded corn in this study might be partly attributed to the limited potential for further enhancing starch and GE digestibility to improve the energy values of non-extruded corn. The ileal digestibility of AA of non-extruded corn, wheat, and barley in the present study aligned with reported values [3841]. Coefficients of AID and SID of AA in extruded corn were numerically lower than those in conventional non-extruded corn [38]. Contrary to the results in the present study, Rodriguez et al [17] noted that extrusion of corn improved the AID and SID of AA compared to non-extruded corn in growing pigs. However, Cho et al [42] observed that a decrease in the true fecal digestibility of indispensable AA, such as Arg, His, Lys, and Val, in extruded corn compared to non-extruded corn. This decrease in the true fecal AA digestibility of extruded corn could be attributed to the thermal degradation of protein occurring during the extrusion process. The protein thermal degradation can result in a reduction in AA concentration in extruded corn, as evidenced in the findings of Cho et al [42]. Consequently, the underestimation of the ileal AA digestibility of feed ingredients may arise from the low dietary AA concentrations, which increase the relative contribution of the BEL of AA to total AA outflows [38].
In the present study, the energy utilization and energy concentrations of wheat flour did not greatly differ from those of conventional wheat [18]. However, the ileal AA digestibility of wheat flour was found to be numerically greater than that of conventional wheat [43]. Fan et al [44] reported that reducing the particle size of wheat linearly increased the apparent total tract digestibility of GE, CP, EE, and ADF, as well as the energy values of wheat. Furthermore, it was anticipated that wheat flour would exhibit greater energy utilization than whole wheat owing to the milling process which separates high fiber by-products from the endosperm. However, contrary to expectations, no notable numerical differences in energy values were observed between wheat flour and conventional wheat in the present study. This may be due to the comparable digestible energy concentrations between wheat by-products, except for millrun and bran [2,26]. Hence, this suggests that the separation of wheat by-products from the endosperm holds more importance than reducing the particle size of wheat in determining nutrient utilization in this case. Regarding the AA digestibility of wheat and wheat flour, wheat by-products separated during the milling process exhibited relatively low ileal AA digestibility compared to whole wheat [2]. Therefore, in this study, the numerically greater ileal AA digestibility of wheat flour compared to conventional wheat may have resulted from the separation of wheat by-products from wheat flour, rather than reducing the particle size of wheat.
In conclusion, the total collection method yields greater energy utilization and concentrations of cereal grains compared to the index method. The AME, AMEn, and AMEs values of both non-extruded and extruded corn were greater than those of wheat, wheat flour, and barley, irrespective of the method used. Further research is warranted to investigate the energy values of high-fiber ingredients and protein sources used in poultry production as determined by different collection methods. The AID and SID of AA in wheat flour were the greatest followed by non-extruded corn, extruded corn, wheat, and barley.

Notes

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

AUTHORS’ CONTRIBUTIONS

Conceptualization: Yoon JH, Kong C.

Data curation: Yoon JH.

Formal analysis: Yoon JH.

Writing - original draft: Yoon JH.

Writing - review & editing: Yoon JH, Kong C.

FUNDING

This study was carried out with the support of “The Cooperative Research Program for Agriculture Science and Technology Development (Project Number: RS-2022-RD010390)” Rural Development Administration, Republic of Korea.

ACKNOWLEDGMENTS

Not applicable.

DATA AVAILABILITY

Upon reasonable request, the datasets of this study can be available from the corresponding author.

ETHICS APPROVAL

Experimental procedures were reviewed and approved by the Institute for Animal Care and Use Committee of Kyungpook National University, Republic of Korea (approval number: KNU 2022-0177).

SUPPLEMENTARY MATERIAL

Not applicable.

Table 1
Energy and nutrient compositions of cereal grains, as-fed basis
Item Non-extruded corn Extruded corn Wheat Wheat flour Barley
Dry matter (g/kg) 876.5 885.9 914.4 894.9 918.5
Gross energy (kcal/kg) 4,007 4,059 4,067 4,051 3,939
Crude protein (g/kg) 84.3 79.3 117.9 126 89.3
Ash (g/kg) 13.1 12 18.2 9.9 19.7
Ether extract (g/kg) 36.8 17.1 22.4 29.8 31.5
Neutral detergent fiber (g/kg) 70.8 78.5 179.6 225.0 176.6
Acid detergent fiber (g/kg) 18.4 20.2 26.4 6.0 55.0
Starch (g/kg) 641 643 618 651 555
Indispensable amino acids (g/kg)
 Arginine 4.3 3.9 5.9 5.5 4.5
 Histidine 2.4 2.3 2.7 2.8 1.9
 Isoleucine 3.1 2.8 3.9 4.1 3.0
 Leucine 10.6 9.9 7.7 8.0 6.0
 Lysine 3.1 2.7 3.5 3.2 3.5
 Methionine 1.8 1.7 1.7 1.9 1.4
 Phenylalanine 4.3 4.0 5.2 5.9 4.3
 Threonine 3.5 3.2 3.6 3.7 3.2
 Valine 4.2 3.9 5.1 5.3 4.4
Dispensable amino acids (g/kg)
 Alanine 6.2 5.9 4.2 4.0 3.7
 Aspartic acid 6.4 6.0 6.5 5.6 5.8
 Cysteine 2.0 1.9 2.6 2.7 2.1
 Glutamic acid 16.6 15.6 33.0 40.5 19.2
 Glycine 3.4 3.2 5.0 5.0 3.8
 Proline 7.6 7.3 10.7 13.8 8.6
 Serine 4.3 4.1 5.4 5.9 3.8
 Tyrosine 3.6 3.0 3.5 3.8 2.5
Table 2
Ingredient and nutrient compositions of experimental diets fed broilers, as-fed basis
Item Experimental diets

NFD Non-extruded corn Extruded corn Wheat Wheat flour Barley
Ingredient compositions (g/kg)
 Corn starch 198.6 - - - - -
 Sucrose 640.0 - - - - -
 Non-extruded corn - 946.5 - - - -
 Extruded corn - - 946.5 - - -
 Wheat - - - 948.6 - -
 Wheat flour - - - - 948.6 -
 Barley - - - - - 949.6
 Limestone 13.3 12.7 12.7 13.8 14.3 15.1
 Dicalcium phosphate 20.6 19.3 19.3 16.1 15.6 13.8
 Soybean oil 40.0 - - - - -
 Cellulose 50.0 - - - - -
 Potassium carbonate 3.0 - - - - -
 Sodium bicarbonate 12.0 - - - - -
 Potassium chloride 3.0 - - - - -
 Magnesium oxide 2.0 - - - - -
 Salt - 4.5 4.5 4.5 4.5 4.5
 Vitamin premix1) 5.0 5.0 5.0 5.0 5.0 5.0
 Mineral premix2) 5.0 5.0 5.0 5.0 5.0 5.0
 Choline chloride 2.5 2.0 2.0 2.0 2.0 2.0
 Chromium oxide 5.0 5.0 5.0 5.0 5.0 5.0
Analyzed composition (g/kg)
 Crude protein 2.3 84.8 80.8 114.5 121.9 86.0
Calculated compositions (g/kg)
 Calcium 8.7 8.7 8.7 8.7 8.7 8.7
 Non-phytate phosphorus 4.4 4.4 4.4 4.4 4.4 4.4

NFD, nitrogen-free diet.

1) Vitamin premix supplied per kilogram of diet: retinyl acetate, 24,000 IU; cholecalciferol, 8,000 IU; DL-α-tocopherol acetate, 160 mg/kg; menadione nicotinamide bisulfite, 8 mg/kg; thiamine mononitrate, 8 mg/kg; riboflavin, 20 mg/kg; pyridoxine hydrochloride, 12 mg/kg; D-calcium pantothenate, 40 mg/kg; folic acid, 4 mg/kg; nicotinamide, 12 mg/kg.

2) Mineral premix supplied per kilogram of diet: iron, 120 mg/kg; copper, 320 mg/kg; zinc, 200 mg/kg; manganese, 240 mg/kg; cobalt, 2 mg/kg; selenium, 0.6 mg/kg; iodine, 2.5 mg/kg.

Table 3
Coefficient of the dry matter (DM) and nitrogen (N) retention, and energy concentrations of cereal grains fed to 21-day-old broilers determined by the total collection method and index method
Item DM retention N retention AME:GE AME (kcal/kg DM) AMEs (kcal/kg DM) AMEn (kcal/kg DM)
Method Source
Total collection Non-extruded corn 0.911 0.782a 0.919a 4,201a 4,159a 4,083a
Extruded corn 0.914 0.786a 0.912a 4,180a 4,139a 4,068a
Wheat 0.863 0.723b 0.877b 3,763d 3,728d 3,657d
Wheat flour 0.860 0.708b 0.871b 3,887bcd 3,845cd 3,750cd
Barley 0.850 0.747ab 0.850b 3,833cd 3,790cd 3,684d
Index Non-extruded corn 0.855 0.620c 0.878b 4,015b 3,997b 3,926b
Extruded corn 0.845 0.550d 0.856b 3,921bc 3,911bc 3,847bc
Wheat 0.777 0.481e 0.786cd 3,358f 3,352f 3,285e
Wheat flour 0.786 0.482e 0.796c 3,481ef 3,509e 3,395e
Barley 0.763 0.551d 0.758d 3,503e 3,537e 3,406e
SEM (n = 8) 0.0079 0.0106 0.0086 37.8 36.8 36.8
Main effect
 Method
Total collection 0.880a 0.749 0.886 3,973a 3,932a 3,849a
Index 0.805b 0.537 0.815 3,656b 3,661b 3,572b
SEM (n = 40) 0.0052 0.0059 0.0059 26.1 25.2 25.2
 Source
Non-extruded corn 0.883a 0.701 0.899 4,108a 4,078a 4,004a
Extruded corn 0.879a 0.668 0.884 4,050a 4,025a 3,957a
Wheat 0.820b 0.602 0.832 3,560c 3,540c 3,471c
Wheat flour 0.823b 0.595 0.833 3,684b 3,677b 3,573b
Barley 0.806b 0.649 0.804 3,668b 3,663b 3,545bc
SEM (n = 16) 0.0064 0.0080 0.0070 31.0 30.1 30.1
p-values
Method <0.001 <0.001 <0.001 <0.001 <0.001 <0.001
Source <0.001 <0.001 <0.001 <0.001 <0.001 <0.001
Method×source 0.129 0.001 0.001 0.002 0.005 0.003

AME, apparent metabolizable energy; GE, gross energy; AMEs, standardized apparent metabolizable energy; AMEn, nitrogen-corrected apparent metabolizable energy; SEM, standard error of the mean.

a–f Least squares means within a column without a common superscript differ (p<0.05).

Table 4
Coefficient of apparent ileal digestibility of nitrogen and amino acids of cereal grains fed to 21-day-old broilers
Item Non-extruded corn Extruded corn Wheat Wheat flour Barley RMSE p-value
n 8 8 8 7 8
Nitrogen 0.855b 0.825b 0.838b 0.924a 0.752c 0.0224 <0.001
Indispensable amino acids
 Arginine 0.906a 0.854b 0.814bc 0.947a 0.793c 0.0282 <0.001
 Histidine 0.885b 0.846c 0.834c 0.938a 0.781d 0.0231 <0.001
 Isoleucine 0.877b 0.817c 0.856bc 0.941a 0.772d 0.0276 <0.001
 Leucine 0.925a 0.895b 0.866c 0.946a 0.800d 0.0188 <0.001
 Lysine 0.848a 0.762b 0.775b 0.892a 0.755b 0.0406 <0.001
 Methionine 0.930a 0.879b 0.877b 0.945a 0.800c 0.0227 <0.001
 Phenylalanine 0.900b 0.862c 0.877bc 0.955a 0.793d 0.0200 <0.001
 Threonine 0.782b 0.693cd 0.725c 0.839a 0.670d 0.0330 <0.001
 Valine 0.803b 0.738cd 0.763bc 0.886a 0.704d 0.0305 <0.001
Dispensable amino acids
 Alanine 0.913a 0.878a 0.792b 0.906a 0.750c 0.0255 <0.001
 Aspartic acid 0.858a 0.813b 0.771c 0.880a 0.737c 0.0285 <0.001
 Cysteine 0.842bc 0.816c 0.851b 0.905a 0.787d 0.0189 <0.001
 Glutamic acid 0.924b 0.895c 0.935b 0.979a 0.848d 0.0147 <0.001
 Glycine 0.820b 0.772c 0.795bc 0.921a 0.729d 0.0274 <0.001
 Proline 0.891c 0.865d 0.914b 0.966a 0.828e 0.0145 <0.001
 Serine 0.847b 0.799c 0.817bc 0.913a 0.731d 0.0230 <0.001
 Tyrosine 0.888b 0.857 0.849c 0.927a 0.785d 0.0202 <0.001

RMSE, root mean square error.

a–e Least squares means within a row without a common superscript differ (p<0.05).

Table 5
Coefficient of standardized ileal digestibility of nitrogen and amino acids (AA) of cereal grains fed to 21-day-old broilers1)
Item Non-extruded corn Extruded corn Wheat Wheat flour Barley RMSE p-value
n 8 8 8 7 8
Nitrogen 0.896b 0.869b 0.870b 0.949a 0.794c 0.0193 <0.001
Indispensable amino acids
 Arginine 0.934a 0.885b 0.834c 0.964a 0.819c 0.0255 <0.001
 Histidine 0.908b 0.871c 0.854c 0.954a 0.809d 0.0217 <0.001
 Isoleucine 0.912b 0.856c 0.882bc 0.961a 0.807d 0.0236 <0.001
 Leucine 0.942a 0.913b 0.889b 0.963a 0.829c 0.0169 <0.001
 Lysine 0.882a 0.804b 0.807b 0.919a 0.786b 0.0364 <0.001
 Methionine 0.949a 0.903b 0.897b 0.962a 0.827c 0.0211 <0.001
 Phenylalanine 0.926b 0.890c 0.898c 0.971a 0.819d 0.0179 <0.001
 Threonine 0.848b 0.773cd 0.793c 0.897a 0.746d 0.0293 <0.001
 Valine 0.865b 0.808c 0.814c 0.928a 0.763d 0.0288 <0.001
Dispensable amino acids
 Alanine 0.934a 0.900a 0.823b 0.932a 0.784c 0.0239 <0.001
 Aspartic acid 0.897a 0.857b 0.812c 0.918a 0.780c 0.0253 <0.001
 Cysteine 0.900b 0.873c 0.894bc 0.944a 0.842d 0.0176 <0.001
 Glutamic acid 0.943b 0.916c 0.944b 0.986a 0.864d 0.0130 <0.001
 Glycine 0.864b 0.820c 0.826c 0.946a 0.769d 0.0253 <0.001
 Proline 0.917b 0.891c 0.932b 0.978a 0.849d 0.0138 <0.001
 Serine 0.895b 0.854c 0.859c 0.946a 0.787d 0.0209 <0.001
 Tyrosine 0.919b 0.890c 0.880c 0.952a 0.825d 0.0177 <0.001

RMSE, root mean square error.

1) Coefficients of standardized ileal digestibility were calculated by correcting coefficients of apparent ileal digestibility for basal endogenous losses of nitrogen or amino acids. Basal endogenous losses (mg/kg of dry matter intake) were determined as: nitrogen, 3,962; arginine, 113; histidine, 51; isoleucine, 91; leucine, 175; lysine, 110; methionine, 33; phenylalanine, 108; threonine, 233; valine, 224; alanine, 130; aspartic acid, 248; cysteine, 146; glutamic acid, 306; glycine, 148; proline, 195; serine, 204; and tyrosine, 108.

a–d Least squares means within a row without a common superscript differ (p<0.05).

REFERENCES

1. Poutanen KS, Karlund AO, Gomez-Gallego C, et al. Grains - a major source of sustainable protein for health. Nutr Rev 2022;80:1648–63. https://doi.org/10.1093/nutrit/nuab084
crossref pmid pmc
2. Stein HH, Lagos LV, Casas GA. Nutritional value of feed ingredients of plant origin fed to pigs. Anim Feed Sci Technol 2016;218:33–69. https://doi.org/10.1016/j.anifeedsci.2016.05.003
crossref
3. Jo H, Han G, Kim EB, Kong C, Kim BG. Effects of supplemental bacteriophage on the gut microbiota and nutrient digestibility of ileal-cannulated pigs. J Anim Sci Technol 2024;66:340–52. https://doi.org/10.5187/jast.2023.e96
crossref pmid pmc
4. Stein HH, Pedersen C, Wirt AR, Bohlke RA. Additivity of values for apparent and standardized ileal digestibility of amino acids in mixed diets fed to growing pigs. J Anim Sci 2005;83:2387–95. https://doi.org/10.2527/2005.83102387x
crossref pmid
5. Yoon JH, Kong C. Comparison of methods for estimating basal endogenous losses of amino acids and additivity of digestibility of amino acids in corn and soybean meal for broilers. Anim Nutr 2023;15:233–41. https://doi.org/10.1016/j.aninu.2023.07.002
crossref pmid pmc
6. Kong C, Adeola O. Evaluation of amino acid and energy utilization in feedstuff for swine and poultry diets. Asian-Australas J Anim Sci 2014;27:917–25. https://doi.org/10.5713/ajas.2014.r.02
crossref pmid pmc
7. Wise TL, Adeola O. Validation of a 3-point model for the determination of energy values using the regression method in broiler chickens. Poult Sci 2023;102:102336. https://doi.org/10.1016/j.psj.2022.102336
crossref pmid pmc
8. Roza LF, Tavernari FD, Surek D, et al. Metabolizable energy and amino acid digestibility of mash and pelleted diets for broilers determined under different methodologies. Anim Feed Sci Technol 2018;235:1–7. https://doi.org/10.1016/j.anifeedsci.2017.11.003
crossref
9. Smeets N, Nuyens F, Van Campenhout L, Delezie E, Pannecoucque , Niewold T. Relationship between wheat characteristics and nutrient digestibility in broilers: comparison between total collection and marker (titanium dioxide) technique. Poult Sci 2015;94:1584–91. https://doi.org/10.3382/ps/pev116
crossref pmid
10. Adedokun SA, Adeola O, Parsons CM, Lilburn MS, Applegate TJ. Factors affecting endogenous amino acid flow in chickens and the need for consistency in methodology. Poult Sci 2011;90:1737–48. https://doi.org/10.3382/ps.2010-01245
crossref pmid
11. Aviagen . Ross 308 Broiler: nutrition specifications [Internet]. Newbridge Aviagen Ltd; 2022. [cited 2024 Mar 31]. Available from: https://aviagen.com/assets/Tech_Center/Ross_Broiler/Ross-BroilerNutritionSpecifications2022-EN.pdf

12. Association of Official Analytical Chemists (AOAC). International Official methods of analysis of AOAC International. 20th edAOAC International; 2016.

13. Fenton TW, Fenton M. An improved procedure for the determination of chromic oxide in feed and feces. Can J Anim Sci 1979;59:631–4. https://doi.org/10.4141/cjas79-081
crossref
14. Cozannet P, Lessire M, Gady C, et al. Energy value of wheat dried distillers grains with solubles in roosters, broilers, layers, and turkeys. Poult Sci 2010;89:2230–41. https://doi.org/10.3382/ps.2010-00833
crossref pmid
15. Tay-Zar AC, Wongphatcharachai M, Srichana P, Geraert PA, Noblet J. Prediction of net energy of feeds for broiler chickens. Anim Nutr 2024;16:241–50. https://doi.org/10.1016/j.aninu.2023.11.009
crossref pmid pmc
16. An SH, Kong C. Influence of age and type of feed ingredients on apparent and standardized ileal amino acid digestibility in broiler chickens. J Anim Sci Technol 2022;64:740–51. https://doi.org/10.5187/jast.2022.e43
crossref pmid pmc
17. Rodriguez DA, Lee SA, Jones CK, Htoo JK, Stein HH. Digestibility of amino acids, fiber, and energy by growing pigs, and concentrations of digestible and metabolizable energy in yellow dent corn, hard red winter wheat, and sorghum may be influenced by extrusion. Anim Feed Sci Technol 2020;268:114602. https://doi.org/10.1016/j.anifeedsci.2020.114602
crossref
18. Khalil MM, Abdollahi MR, Zaefarian F, Chrystal PV, Ravindran V. Apparent metabolizable energy of cereal grains for broiler chickens is influenced by age. Poult Sci 2021;100:101288. https://doi.org/10.1016/j.psj.2021.101288
crossref pmid pmc
19. Moss AF, Khoddami A, Chrystal PV, et al. Starch digestibility and energy utilisation of maize- and wheat-based diets is superior to sorghum-based diets in broiler chickens offered diets supplemented with phytase and xylanase. Anim Feed Sci Technol 2020;264:114475. https://doi.org/10.1016/j.anifeedsci.2020.114475
crossref
20. An SH, Kong C. Variation of crude protein and amino acids concentrations in corn, wheat, and barley from different countries. Korean J Poult Sci 2022;49:79–87. https://doi.org/10.5536/kjps.2022.49.2.79
crossref
21. Wang H, Shi M, Xu X, et al. Determination and prediction of the digestible and metabolisable energy content of barley for growing pigs based on chemical composition. Arch Anim Nutr 2017;71:108–19. https://doi.org/10.1080/1745039X.2017.1279717
crossref pmid
22. Björck I, Asp NG. The effects of extrusion cooking on nutritional value — a literature review. J Food Eng 1983;2:281–308. https://doi.org/10.1016/0260-8774(83)90016-x
crossref
23. Lancheros JP, Espinosa CD, Stein HH. Effects of particle size reduction, pelleting, and extrusion on the nutritional value of ingredients and diets fed to pigs: a review. Anim Feed Sci Technol 2020;268:114603. https://doi.org/10.1016/j.anifeedsci.2020.114603
crossref
24. Stein HH, Connot SP, Pedersen C. Energy and nutrient digestibility in four sources of distillers dried grains with solubles produced from corn grown within a narrow geographical area and fed to growing pigs. Asian-Australas J Anim Sci 2009;22:1016–25. https://doi.org/10.5713/ajas.2009.80484
crossref
25. Stein HH, Bohlke RA. The effects of thermal treatment of field peas (Pisum sativum L.) on nutrient and energy digestibility by growing pigs. J Anim Sci 2007;85:1424–31. https://doi.org/10.2527/jas.2006-712
crossref pmid
26. Nortey TN, Patience JF, Sands JS, Trottier NL, Zijlstra RT. Effects of xylanase supplementation on the apparent digestibility and digestible content of energy, amino acids, phosphorus, and calcium in wheat and wheat by-products from dry milling fed to grower pigs. J Anim Sci 2008;86:3450–64. https://doi.org/10.2527/jas.2007-0472
crossref pmid
27. Cappelli A, Cini E. Challenges and opportunities in wheat flour, pasta, bread, and bakery product production chains: a systematic review of innovations and improvement strategies to increase sustainability, productivity, and product quality. Sustainability 2021;13:2608. https://doi.org/10.3390/su13052608
crossref
28. Rosenfelder P, Eklund M, Mosenthin R. Nutritive value of wheat and wheat by-products in pig nutrition: a review. Anim Feed Sci Technol 2013;185:107–25. https://doi.org/10.1016/j.anifeedsci.2013.07.011
crossref
29. Barron C, Surget A, Rouau X. Relative amounts of tissues in mature wheat (Triticum aestivum L.) grain and their carbohydrate and phenolic acid composition. J Cereal Sci 2007;45:88–96. https://doi.org/10.1016/j.jcs.2006.07.004
crossref
30. Prawirodigdo S, Gannon NJ, Leury BJ, Dunshea FR. Acid-insoluble ash is a better indigestible marker than chromic oxide to measure apparent total tract digestibility in pigs. Anim Nutr 2021;7:64–71. https://doi.org/10.1016/j.aninu.2020.07.003
crossref pmid pmc
31. Wang T, Adeola O. Digestibility index marker type, but not inclusion level affects apparent digestibility of energy and nitrogen and marker recovery in growing pigs regardless of added oat bran. J Anim Sci 2018;96:2817–25. https://doi.org/10.1093/jas/sky153
crossref pmid pmc
32. Morata RL, Machado TMM, Albino LFT, et al. Techniques of evaluation of the energy values and the coefficients of digestibility of some feedstuffs for growing greater rhea (Rhea Americana). Rev Bras Zootec 2006;35:1381–8. https://doi.org/10.1590/S1516-35982006000500018
crossref
33. Bolarinwa OA, Adeola O. Energy value of wheat, barley, and wheat dried distillers grains with solubles for broiler chickens determined using the regression method. Poult Sci 2012;91:1928–35. https://doi.org/10.3382/ps.2012-02261
crossref pmid
34. Leung H, Kiarie EG. Standardized ileal digestibility of amino acids and apparent metabolizable energy in corn and soybean meal for organic broiler chicken production in ontario. Can J Anim Sci 2020;100:447–54. https://doi.org/10.1139/cjas-2019-0166
crossref
35. Wu SB, Choct M, Pesti G. Historical flaws in bioassays used to generate metabolizable energy values for poultry feed formulation: a critical review. Poult Sci 2020;99:385–406. https://doi.org/10.3382/ps/pez511
crossref pmid pmc
36. Zhu L, Jones C, Guo Q, Lewis L, Stark CR, Alavi S. An evaluation of total starch and starch gelatinization methodologies in pelleted animal feed. J Anim Sci 2016;94:1501–7. https://doi.org/10.2527/jas.2015-9822
crossref pmid
37. Cervantes-Pahm SK, Liu Y, Stein HH. Comparative digestibility of energy and nutrients and fermentability of dietary fiber in eight cereal grains fed to pigs. J Sci Food Agric 2014;94:841–9. https://doi.org/10.1002/jsfa.6316
crossref pmid
38. An SH, Sung JY, Kang HK, Kong C. Additivity of ileal amino acid digestibility in diets containing corn, soybean meal, and corn distillers dried grains with solubles for male broilers. Animals 2020;10:933. https://doi.org/10.3390/ani10060933
crossref pmid pmc
39. Parsons AS, Buchanan NP, Blemings KP, Wilson ME, Moritz JS. Effect of corn particle size and pellet texture on broiler performance in the growing phase. J Appl Poult Res 2006;15:245–55. https://doi.org/10.1093/japr/15.2.245
crossref
40. Bandegan A, Golian A, Kiarie E, et al. Standardized ileal amino acid digestibility in wheat, barley, pea and flaxseed for broiler chickens. Can J Anim Sci 2011;91:103–11. https://doi.org/10.4141/Cjas10076
crossref
41. Barua M, Abdollahi MR, Zaefarian F, et al. Influence of age on the standardized ileal amino acid digestibility of corn and barley in broilers. Animals 2021;11:3575. https://doi.org/10.3390/ani11123575
crossref pmid pmc
42. Cho WT, Kim YG, Kim JD, Chae BJ, Han IK. Effects of feeding extruded corn and wheat grain on growth performance and digestibility of amino acids in early-weaned pigs. Asian-Australas J Anim Sci 2001;14:224–30. https://doi.org/10.5713/ajas.2001.224
crossref
43. Yun XL, Liu XB, Cheng ZC, et al. Determination and prediction of standardized ileal amino acid digestibility of wheat in broilers. Poult Sci 2023;102:102383. https://doi.org/10.1016/j.psj.2022.102383
crossref pmid pmc
44. Fan Y, Guo P, Yang Y, Xia T, Liu L, Ma Y. Effects of particle size and adaptation duration on the digestible and metabolizable energy contents and digestibility of various chemical constituents in wheat for finishing pigs determined by the direct or indirect method. Asian-Australas J Anim Sci 2017;30:554–61. https://doi.org/10.5713/ajas.16.0324
crossref pmid pmc


Editorial Office
Asian-Australasian Association of Animal Production Societies(AAAP)
Room 708 Sammo Sporex, 23, Sillim-ro 59-gil, Gwanak-gu, Seoul 08776, Korea   
TEL : +82-2-888-6558    FAX : +82-2-888-6559   
E-mail : editor@animbiosci.org               

Copyright © 2025 by Asian-Australasian Association of Animal Production Societies.

Developed in M2PI

Close layer
prev next