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The Impact of Digestive Dynamics on the Bioequivalence of Amino Acids in Broiler Chickens

Published: August 23, 2023
By: Peter H. Selle 1,2; Shemil P. Macelline 1,3; Peter V. Chrystal 1,4; Sonia Yun Liu 1,3 / 1 Poultry Research Foundation within The University of Sydney, 2570 Camden, NSW, Australia; 2 Sydney School of Veterinary Science, The University of Sydney, 2570 Camden, NSW, Australia; 3 School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, 2006 Camperdown, NSW, Australia; 4 Complete Feed Solutions, 2145 Howick, New Zealand.
Summary

The purpose of this review is to consider the distinct possibility that dietary non-bound and protein-bound amino acids are not bioequivalent in broiler chickens. Usually, with conservative inclusions of a limited number of non-bound (synthetic, crystalline, feed-grade) amino acids in standard broiler diets, bioequivalency would not be an issue. However, reduced-crude protein (CP) broiler diets demand substantial inclusions of an extended range of non-bound amino acids to meet amino acid requirements. A standard diet may contain 5.0 g/kg non-bound amino acids, but a reduced-CP diet may contain up to 50 g/kg and this relative abundance skews the balance of non-bound to protein-bound amino acids and substantial proportions of certain amino acids are present in diets as non-bound entities. Importantly, tangible reductions in dietary CP, for example from 210 to 160 g/kg, usually both compromise broiler growth performance and increase fat deposition. Compromised growth performance is more evident in wheat- than maize-based diets but, paradoxically, fat deposition is more apparent in maize-based diets. The inability of birds to accommodate tangible dietary CP reductions appears to stem partially from the lack of bioequivalency between non-bound and protein-bound amino acids because of the differentials in intestinal uptake rates. Also, reduced-CP broiler diets generate perturbations in apparent amino acid digestibility coefficients which compound the fact that intestinal uptakes of non-bound acid acids are more rapid, and occur more anteriorly in the small intestine, than protein-bound amino acids. The likelihood is that greater proportions of non-bound amino acids transit the enterocytes of the gut mucosa without entering anabolic and/or catabolic pathways to gain entry to the portal circulation. This culminates in post-enteral amino acid imbalances and postprandial oxidation of surplus amino acids which involves deamination of amino acids and elevations in plasma ammonia (NH3) concentrations, but NH3 is inherently toxic and demands detoxification. Excessive deamination coupled with inadequate detoxification could result in ‘ammonia overload’ which would be expected to compromise growth performance. Thus, the hypothesis is that nonbound and protein-bound amino acids are not bioequivalent; moreover, it may be argued that this distinction is being overlooked and is thwarting the development and acceptance of reduced-CP broiler diets.

Keywords: amino acids; broiler chickens; digestive dynamics; protein.

1. Introduction

The global demand for chicken-meat is increasing. Globally, poultry meat is expected to represent 41% of all the protein from meat sources in 2030 and exceed the 34% share for pig meat, 20% for beef and 5% for sheep meat [1]. In Australia, the 46.9 kg per capita chicken-meat consumption in 2021/22 is clearly superior to pork (27.7 kg), beef (19.1 kg) and lamb (5.5 kg) with a 47.3% market share [2]. To meet this high consumption, Australian broiler operations processed 678 million birds and produced 1.295 million tonnes of chicken-meat in 2021/22 [2]. It is relevant that poultry has the best conversion rate of feed to human food and the smallest environmental footprint in terms of energy and water use per kg meat produced amongst terrestrial animals [3]. Accordingly, it has been predicted that chicken-meat production generated 7.1% of greenhouse gas emissions (as CO2 equivalents) as opposed to 29.8% for pork and 63.1% for beef in 2020 [4]. Moreover, the efficiency of protein accretion in broiler chickens at 33.3% surpasses that of pigs and feedlot beef cattle at 23.3% and 12.1%, respectively [5]. This has been a consequence of tangible improvements in breeding programs and genetic selection coupled with advances in poultry nutrition [6].
Thus, the importance of sustainable chicken-meat production is clearly visible. The development and acceptance of reduced-crude protein (CP) diets for broiler chickens would certainly promote more sustainable chicken-meat production [7], but it is also a highly challenging mission [8]. Usually, reductions in dietary CP are achieved by increasing feed grain inclusions, typically maize or wheat, at the expense of soybean meal and targeted amino acid requirements are then met by inclusions of a range of nonbound (synthetic, crystalline) amino acids. When average values are taken from the three studies [9–11], dietary CP was reduced from 206 to 162 g/kg, non-bound amino acid inclusions were increased from 5.3 to 22.8 g/kg. Collectively, the 44 g/kg dietary CP reduction depressed weight gain by 2.40% (1913 versus 1960 g/bird), compromised FCR by 4.92% (1.600 versus 1.525) and increased relative abdominal fat-pad weights by 71.4% (13.44 versus 7.84 g/kg). However, the 44 g/kg dietary CP reduction generated a 48.2% decline in soybean meal inclusions from 330 g/kg to 171 g/kg, which illustrates the potential reducedCP broiler diets hold for diminishing the dependence of the global chicken-meat industry on, in many countries, imported soybean meal. A reduced dependence on soybean meal by the global chicken-meat industry would attenuate neotropical deforestation in South America to harvest soybeans [12], which would be an additional environmental advantage.
The advantages of reduced-CP broiler diets are not restricted to a diminished requirement for soybean meal. They extend to reductions in nitrogen (N) excretion and ammonia (NH3) emissions [13], which is an increasingly important environmental issue, especially in Europe. Poor litter quality is a complex problem and has developed into a tangible bird welfare issue [14]; however, reduced CP diets have been shown to enhance litter quality, thereby reducing the incidence of footpad lesions and related conditions [15]. The global usage of in-feed antibiotics in broiler diets is declining, which increases the risk of Necrotic Enteritis outbreaks. However, reducing dietary CP contents diminishes flows of undigested protein into the hindgut to fuel the proliferation of potential pathogens including Clostridium perfringens, the causative organism of Necrotic Enteritis [16,17]. A recent meta-analysis has examined the advantages of reduced-CP broiler diets offer in respect nitrogen utilisation, litter quality, and water consumption [18]. A moderate reduction from 190 to 170 g/kg CP generated a 29% reduction in N excretion, a 7% increase in N retention/N intake, decreased water consumption and litter moisture and depressed plasma uric acid concentrations.
Dietary CP of either maize- or wheat-based diets were reduced in a stepwise manner from 222 to 165 g/kg in Chrystal et al. [19]. Consequently, non-bound amino acid inclusions increased from 7.23 to 38.49 g/kg in maize-based diets but from 7.50 to 49.39 g/kg in wheat-based diets. This marked difference is due to the higher protein content of wheat. The performance of birds offered reducedCP, maize-based diets was clearly superior to their wheatbased counterparts and in this, and several other of our studies, there are indications that non-bound amino acid inclusions may become excessive and compromise growth performance. Synthetic and crystalline (or non-bound) amino acids may be regarded as alternatives to soybean meal [20], but there appears to be an implicit assumption that proteinbound amino acids in protein meals and feed grains and non-bound amino acids are bioequivalent; our contention is that this may not be the case. This contention is supported, albeit in pigs [21], as it was reported that non-bound lysine and threonine are absorbed more rapidly than proteinbound lysine and threonine in pigs fed once daily, based on the net portal plasma concentrations of these amino acids. Also, plasma amino acid responses in human subjects following ingestion of either protein-bound amino acids (cottage cheese) or an equivalent blend of 15 non-bound amino acids have been compared [22]. Plasma amino acid concentrations derived from non-bound amino acids were both higher and peaked in a shorter post-prandial time interval than protein-bound amino acids. Therefore, the purpose of this review is to consider the bioequivalence of amino acids in diets for broiler chickens, as a better comprehension of this issue could accelerate the development and acceptance of reduced-CP broiler diets.

2. Amino Acid Requirements for Broiler Chickens

Amino acid requirements for broiler chickens are routinely expressed as ‘ideal amino acid ratios’ (or ‘ideal protein ratios’) where the requirements for digestible amino acids are expressed as ratios relative to lysine (100). The most comprehensive recommendation for ideal amino acid ratios has been documented by Wu [23] as it covers both essential and the so-called non-essential amino acids. Perhaps the first recommendation was advanced by Dean and Scott [24] and, over the intervening 50 years, the biggest increases across the essential amino acids apply to histidine, threonine and arginine when the two sets of recommendations are compared. Diligent research has been devoted to the complex task of identifying individual amino acid requirements for broiler chickens, which is ongoing. This quest has been reviewed [25], where ten sets of ideal amino acid ratios are documented. However, relative to pigs, amino acid requirements may be complicated by feathering in poultry. Feathers accounted for 9.7% of the bodyweight of 21 day-old male broilers [26] and serine, glycine and proline were the most prevalent amino acids in the 931 g/kg protein content of feathers [27]. The partitioning of amino acids towards either feathering or skeletal muscle deposition becomes a complicating factor [28].
The use of ideal amino acid ratios is an integral part of the least-cost formulation of diets for broiler chickens; nevertheless, there are few reported studies where different sets of ideal amino acid ratios have been compared. However, three comparative studies [29–31] have been identified and all three studies reported tangible differences in growth performance in response to the various ratios investigated. There is the real possibility that ideal amino acid ratios that are appropriate in standard protein diets are not equally suitable in reduced-CP diets. In a fourth comparison [32], two sets of ideal protein ratios (Ratios A and B) were compared in broilers offered wheat-based diets with CP contents of either 210 or 180 g/kg from 14 to 35 days post-hatch. A treatment interaction (p = 0.007) was observed for FCR. Ratio B was superior in 210 g/kg CP diets as it supported a 4.17% (1.424 versus 1.486) more efficient FCR, whereas Ratio A supported an advantage in FCR of 3.19% (1.580 versus 1.632) in 180 g/kg CP diets. Similar treatment interactions were observed for weight gain (p = 0.039) and relative fat-pad weights (p = 0.022). These outcomes are a clear indication that the ideal amino acid ratio in a reduced-CP diet is almost certainly not appropriate for a standard protein diet and highlights the issue of the bioequivalence of amino acids and their capacity to meet requirements satisfactorily.

3. Apparent Amino Acid Digestibilities

The apparent digestibility coefficients of amino acids merit consideration because dietary CP reductions generate perturbations in apparent digestibility coefficients and the likelihood is that this aspect has been overlooked in the quest to develop reduced-CP diets. Moreover, these fluctuations in digestibilities effectively impact on the bioequivalence of amino acids. Therefore, the impacts of dietary CP reductions in amino acid digestibility assays from nine broiler studies completed in Australia based on either maize-based or wheat-based diets are summarised in Tables 1a,1b, (Ref. [9–11,19,33]) and 2a,2b, (Ref. [19,27,34– 36]), respectively, where substantial variations are clearly evident.
In maize-based diets, as shown in Table 1a,1b, improvements in average apparent ileal digestibility coefficients of amino acids in maize-based diets pursuant to dietary CP reductions of 6.18% (range of individual responses: 2.73 to 10.8%) and 5.98% (range: –0.43 to 21.2%) were reported in [9] and [10], respectively. In contrast, the average response declined by 1.65% (range: –7.02 to 4.73%) in [11] and by 2.77% (range: –32.2 to 15.4%) in [19]. There was an overall reduction of 8.36% (range: – 15.1 to –2.67%) in [33]; however, in this study the diets contained large quantities of starch and it was unequivocally demonstrated that there was competition for intestinal uptakes between starch/glucose and amino acids, as discussed below.
In wheat-based diets, as shown in Table 2a,2b, improvements in average apparent ileal amino acid digestibility coefficients of amino acids of 9.10% (range: –0.28 to 17.9%) and 7.73% (range 3.19 to 14.2%) were reported in [35] and [27] respectively. In contrast, average digestibility coefficients were depressed by 2.90% (range: –62.7 to 14.5%) in [19], by 3.63% (range: –7.79 to 0.00%) in [34] and by 3.89% (range: –14.8 to 2.55%) in [36]. Also, Hilliar et al. [35] reported a decline of –1.19% (range: –8.30 to 4.43%) in birds at 21 days post-hatch, which differs from the 9.10% positive response recorded in the same study at 35 days post-hatch.
As can be gleaned from tabulated outcomes, reductions in dietary CP levels generate extremely variable responses in apparent ileal amino acid digestibility coefficients. The accuracy of amino acid digestibility assays in broilers offered reduced-CP diets is called into question as the properties of standard and tangibly reduced-CP diets are vastly different, which challenges the precision of the four inputs on which apparent digestibility coefficient calculations are based. It is problematic if the passage rates of protein-bound amino acids, non-bound amino acids and inert dietary markers along the digestive tract are sufficiently similar given the differences in solubility and particle size coupled with digesta retention in the crop and gizzard and episodes of reverse peristalsis [37].
Increases in digestibilities of certain amino acids (particularly lysine, methionine, threonine, arginine) may be attributed to the notional 100% digestibility of non-bound amino acids [38], coupled with their high inclusions in reduced-CP diets. In addition, diminished endogenous amino acid flows would enhance apparent amino acid digestibilities. Reduced-CP diets may ameliorate endogenous flows when data generated by Ravindran et al. [39] is considered. These researchers reduced the CP of broiler diets from 198 to 48 g/kg by reducing inclusions of enzymehydrolysed casein from 200 to 50 g/kg. There reductions were associated with a decline in the sum of endogenous amino acids of 33.8% (235 versus 355 mg/g DM). Presumably, secretions of pepsin, trypsin and the balance of endogenous proteolytic enzymes would be moderated in birds offered reduced-CP diets but may be offset by hypersecretions of pancreatic amylase given the increased starch concentrations in reduced-CP diets.
Explanations for decreases in amino acid digestibilities following reductions in dietary CP are not as straightforward and yet in the 11 sets of observations tabulated decreases outnumber increases in amino acid digestibilities. Amino acid concentrations in distal ileal digesta are key determinants of digestibility and amino acids may or may not be of dietary origin. In fact, ‘non-dietary’ amino acids are comprised of both endogenous and microbial amino acids; a distinction that is not always drawn. However, in pigs offered protein-free diets, Miner-Williams et al. [40] found that when total endogenous ileal digesta flow was corrected for microbial amino acids, they comprised 19.8% (63.6 versus 321.6 mg/g digesta DM) as opposed to 80.2% (258.0 versus 321.6 mg/g digesta DM) of ‘actual’ endogenous amino acids.
Endogenous amino acids may be re-absorbed along the small intestine, but the amino acid constituents of mucin are essentially non-digestible and are not re-absorbed [41]. Threonine and serine are the principal amino acids in avian mucin [42] and their responses ranged from –7.72 to 15.37% and from –9.96 to 8.40%, respectively in Tables 1a,1b,2a,2b. The broad amplitudes of these ranges could reflect variations in mucin secretion. In common with mucin, microbial amino acids are not re-absorbed. Interestingly, the small intestinal gut microbiota is dominated by Lactobacilli in broiler chickens as they comprise 83% of the total microflora [43], an estimate confirmed in [44]. Thus, any proliferation of Lactobacilli along the small intestine would be expected to compromise apparent ileal amino acid digestibility coefficients. Interestingly, De Cesare et al. [45] found that reductions in dietary CP increased Lactobacilli in the caecal microbiota of broiler chickens, which presumably applies to small intestinal microbiota to some extent.
Table 1a. The effect of dietary crude protein (CP) reductions on apparent ileal amino acid digestibility coefficients in maize-based diets with responses (Diff.) expressed as percentage (%) differences.
Table 1a. The effect of dietary crude protein (CP) reductions on apparent ileal amino acid digestibility coefficients in maize-based diets with responses (Diff.) expressed as percentage (%) differences.
Table 1b. Summary of the effect of dietary crude protein (CP) reductions on apparent ileal amino acid digestibility coefficients in maize-based diets.
Table 1b. Summary of the effect of dietary crude protein (CP) reductions on apparent ileal amino acid digestibility coefficients in maize-based diets.
Table 2a. The effect of dietary crude protein (CP) reductions on apparent ileal amino acid digestibility coefficients in wheat-based diets with responses (Diff.) expressed as percentage (%) differences.
Table 2a. The effect of dietary crude protein (CP) reductions on apparent ileal amino acid digestibility coefficients in wheat-based diets with responses (Diff.) expressed as percentage (%) differences.
Table 2b. The effect of dietary crude protein (CP) reductions on apparent ileal amino acid digestibility coefficients in wheat-based diets with responses (Diff.) expressed as percentage (%) differences and summary.
Table 2b. The effect of dietary crude protein (CP) reductions on apparent ileal amino acid digestibility coefficients in wheat-based diets with responses (Diff.) expressed as percentage (%) differences and summary.
Estimates of the relative proportions of dietary, endogenous and microbial amino acids in distal ileal digesta may be made from the mathematical model developed by Duvaux et al. [46]. In a recent, as yet unpublished study [47], birds were offered maize- or wheat-based diets with CP contents of 220 and 180 g/kg. Overall, 47.9% of amino acids in distal ileal digesta were estimated to be derived from the diet, 23.8% from endogenous amino acids and 28.6% were of microbial origin. However, the transition from 220 to and 180 g/kg CP in wheat-based diets increased the proportion of microbial amino acids in ileal digesta by a factor of 1.32, from 29.2% to 38.6%. In contrast, the same transition in maize-based diets increased the microbial amino acid proportion by a more modest factor of 1.10, from 22.1% to 24.4%. Instructively, proportions of microbial amino acids in ileal digest were negatively correlated to apparent ileal digestibility coefficients of all 16 amino acids assessed to highly significant extents across all eight dietary treatments.
The difference in microbial amino acid proportions suggests that the higher gut viscosities in wheat- than maize-based diets, generated by higher soluble non-starch polysaccharides (NSP) concentrations in wheat, facilitated the proliferation of Lactobacilli along the small intestine and elevated the proportion on microbial amino acids in ileal digesta to the detriment of apparent digestibility coefficients. Munyaka et al. [44] recorded higher gut viscosities in birds offered wheat-based diets, irrespective of NSP-degrading enzyme inclusions, than maize-based diets. The suggestion that increased gut viscosities are associated with increases in gut microbiota is supported by [48] where it was reported that broilers offered rye-based diets, the more ‘viscous’ cereal grain, had greater ileal anaerobe counts by two or three logarithmic cycles than maize-based diets. Also, Choct et al. [49] concluded that soluble NSP increased small intestinal fermentation, which is partly responsible for their anti-nutritive effects. Also, dietary cereals producing high intestinal viscosities have been shown to increase bacterial activity in the small intestine [50].
Curiously, there does not appear to be an explanation for the increased Lactobacilli abundance in the large intestine following dietary CP reductions in [46]. However, Lactobacilli are found where carbohydrate containing substrates are readily available including intestinal mucosa [51] and these bacteria rare capable of degrading indigestible polysaccharides [52]. This raises the possibility that the higher carbohydrate concentrations, which are invariably present in reduced-CP diets, may be responsible for any increases in the small intestinal gut microflora of which Lactobacilli are major constituents. This should not be taken to imply that small intestinal microbiota are the only factor contributing to the perturbations in apparent amino acid digestibility coefficients in birds offered reduced-CP diets but do they merit closer attention.

4. Digestive Dynamics of Amino Acids

Our definition of digestive dynamics is broader than perhaps implied. Digestive dynamics may be considered as a four-tiered sequence of events initiated by the digestion of protein in the gut lumen and followed by the intestinal uptakes of oligopeptides and monomeric amino acids. The transit of amino acids across the enterocytes of the gut mucosa is the third phase and the fourth, post-enteral phase may result in the incorporation of amino acids into protein or, alternatively, amino acids may fulfil a multiplicity of functional roles [53] and an additional metabolic fate is that surplus amino acids are deaminated [54]. The postprandial kinetics of dietary amino acids derived from soy or milk protein ingestion in human subjects were investigated by Bos et al. [55]. These researchers concluded that differences in metabolic postprandial fates of amino acids may be attributed to differences in digestion kinetics between protein sources. Therefore, it is necessary to consider the different digestive dynamics of protein-bound, oligopeptides and non-bound amino acids.
Amino acids may be present in poultry diets and in the small intestine as protein-bound amino acids, oligopeptides or non-bound amino acids. However, the digestive dynamics of these three categories of are quite different. Indeed, methionine as an oligopeptide was shown to be more effective in the recovery of malnourished rats than non-bound methionine or protein-bound methionine in soy protein [56]. The incorporation of amino acids into protein, or protein accretion, is dependent on the harmonious availability of the appropriate blend of amino acids and the provision of energy (derived mainly from glucose) at sites of protein synthesis [57,58]. As implied, the digestion dynamics of protein/amino acids should not be considered in isolation from those of starch/glucose because of the interactions that take place in broiler chickens offered practical diets [59]; nevertheless, the focus of this review is the bioequivalence of amino acids.

4.1 Protein-Bound Amino Acids

In standard broiler diets, protein-bound amino acids are usually derived from soybean, Canola and other protein meals and cereal grains including maize, wheat and, to lesser extents, barley and sorghum. The amino acid digestibilities of these feedstuffs are well established, which may be impacted by a range of anti-nutritive factors including phytate and soluble NSP. The effects of both can be counteracted by exogenous enzymes and, indeed, exogenous phytase can have profound effects on the digestive dynamics of protein-bound amino acids. Phytase (500 FTU/kg) has been shown to increase average apparent digestibility coefficients of 16 amino acids by 49.7% (0.720 versus 0.481) in the proximal jejunum in broilers offered maize-based diets [60]. The implication is that phytase triggered a ‘proximal shift’ in the site of intestinal uptakes of essentially protein-bound amino acids. Moreover, there are indications that rapidly absorbed protein-bound amino acids will advantage broiler growth performance and influence the post-enteral availability of amino acids [61]. An initial assessment of amino acid digestive dynamics derived from protein-rich feedstuffs for poultry has been completed [62] and the generation of more, similar data should be a priority.

4.2 Oligopeptides

Oligopeptides are defined as di- and tri-peptides; importantly, the majority of amino acids are absorbed as oligopeptides as opposed to monomeric amino acids [63]. Moreover, the likelihood is that intestinal uptakes of oligopeptides, principally via the PepT-1 transporter [64], are more rapid and efficient than monomeric amino acids [65,66]. An early demonstration found that when glycine was administered as a dipeptide in humans, 30 minute postprandial glycine plasma levels were 94.7% higher (4.40 versus 2.26 mg/100 mL) than monomeric glycine [67]. More recently, it was reported that peptides derived from soy 11S globulin were more rapidly and efficiently absorbed in adult males than soy 11S globulin protein or a corresponding mixture of monomeric amino acids [68].
The dipeptide, carnosine (β-alanyl-L-histidine) and its methylated analogue, anserine, have been exhaustively reviewed [69]. Carnosine a naturally occurring dipeptide of special interest both as an entity and by virtue of its histidine and alanine components [70] and high carnosine concentrations are found in breast muscle [71]. Dietary inclusions of histidine (1.8 g/kg), alanine (3.2 g/kg), individually and in combination, plus carnosine (2.7 g/kg) in diets based on a maize-wheat blend were compared in [72]. At 28 days post-hatch, carnosine generated significantly heavier absolute breast weights than the negative control diet by 19.5% (207.7 versus 173.8 g/bird) and higher breast yields by 1.6 percentage units (16.2 versus 14.6%) and carnosine was numerically superior to the balance of treatments based on its constituent monomeric amino acids. Interestingly, reduced carnosine concentrations in breast muscle have been associated with myopathies such as wooden breast and white striping [73], which is an issue of increasing concern. Lackner et al. [74] claimed that additional histidine has the potential to reduce the incidence of white striping, but carnosine may be a better way to fortify reduced-CP diets with histidine and alanine than their provision as non-bound amino acids. Given the above, it follows that carnosine merits further investigation.

4.3 Non-bound Amino Acids

Non-bound (synthetic, crystalline, feed-grade) amino acids are alternative ‘protein’ sources to soybean meal and other relevant feedstuffs in broiler diets [20]. However, an important distinction in that intestinal uptakes of non-bound amino acids are more rapid than protein-bound amino acids because prior protein digestion in the gut lumen is not required [75]. This was demonstrated decades ago; specifically, with methionine in rats [76] and subsequently with lysine and threonine in pigs [21].
The digestion rates of protein-bound of 13 amino acids in conventional sorghum-based diets were determined by Liu et al. [77], as shown in Fig. 1. The mean digestion rate was 2.35 × 10−2 min−1, which ranged from 1.85 (tyrosine) to 3.25 × 10−2 min−1 (arginine). Collectively, the branched-chain amino acids’ digestion rate averaged 2.05 × 10−2 min−1; this slow rate reflects their hydrophobicity. Methionine, lysine and threonine were present as both nonbound and protein-bound amino acids and their digestion rates are compared with exclusively protein-bound amino acids in Fig. 2. The sorghum-based diets contained 4.8 g/kg lysine HCl and 3.4 g/kg dl-methionine; thus, non-bound lysine and methionine represented 27.9% and 51.5% of their specified dietary levels. The overall lysine and methionine digestion rates were 4.14 × 10−2 min−1 and 5.51 × 10−2 min−1, respectively. Then, it may be deduced that the digestion rate of non-bound lysine was 8.78 × 10−2 min−1 and non-bound methionine 8.49 × 10−2 min−1, based on the assumption that the rate of the protein-bound component was 2.35 × 10−2 min−1. Thus, non-bound amino acids have more rapid intestinal uptakes than protein-bound amino acids by nearly a four-fold factor.
Fig. 1. The digestion rate constants (DRC × 10−2 min−1) of 13 protein-bound amino acids in broiler chickens offered sorghum-based diets; adapted from Liu et al. [77].
Fig. 1. The digestion rate constants (DRC × 10−2 min−1 ) of 13 protein-bound amino acids in broiler chickens offered sorghum-based diets; adapted from Liu et al. [77].
Fig. 2. The digestion rate constants (DRC × 10−2 min−1) of methionine, lysine, threonine and the mean of 13 proteinbound amino acids in broiler chickens offered sorghum-based diets; adapted from Liu et al. [77].
Fig. 2. The digestion rate constants (DRC × 10−2 min−1 ) of methionine, lysine, threonine and the mean of 13 proteinbound amino acids in broiler chickens offered sorghum-based diets; adapted from Liu et al. [77].
Given these disparities, it is worth exploring the possibility of enteric coating one or more monomeric amino acids so that their intestinal uptake rates are retarded. Advanced oral delivery technologies facilitating the protection and absorption of protein and peptide molecules are available [78]. Moreover, it has been reported that both encapsulated lysine and methionine were more effectively utilised in poultry than as standard, non-bound entities [79].

5. Amino Acid Metabolism

The amino acid exchanges are discussed as four sub-sections. These include (i) intestinal uptakes of monomeric amino acids and oligopeptides, (ii) the transition of amino acids across the gut mucosa, (iii) the postenteral metabolism of amino acids and protein accretion and specific consideration is given to (iv) the branched-chain amino acids: isoleucine, leucine and valine.

5.1 Intestinal Uptakes of Monomeric Amino Acids and Oligopeptides

The intestinal uptakes of monomeric amino acids take place via an array of Na+-dependent and Na+-independent transport systems with overlapping affinities for amino acids [80,81]. Consideration has been given to the likelihood that there is competition between certain amino acids for intestinal uptakes via relevant transporters [82– 84]. More recently, Chrystal et al. [19] reported a quadratic relationship (r = 0.755; p < 0.001) between methionine and phenylalanine digestibility coefficients which suggested that methionine was competitively inhibiting phenylalanine intestinal uptakes [85]. One Na+-dependent brush border transporter, PHE, has specific affinities for just these two amino acids [80], which indicates that this was the focus of competition between methionine and phenylalanine for intestinal uptakes.
Intestinal uptakes of glucose and amino acids via Na+- dependent transporters involve co-absorption with sodium (Na). Glucose and Na are principally absorbed via SGLT1 [86], whereas, amino acids and Na are absorbed by a range of about fourteen Na+-dependent transporters [79]. The likelihood of competition between glucose and amino acids for intestinal uptakes has been discussed by several researchers [87–90]. However, Moss et al. [33] found negative Pearson correlations between apparent digestibility coefficients of starch and 12 of 16 amino acids assessed in the proximal ileum. The significant correlations ranged from serine (r = –0.327; p = 0.023) to phenylalanine (r = –0.507; p < 0.001). Additionally, negative correlations were also observed in the proximal jejunum, distal jejunum and distal ileum. It should be noted that the maize-based experimental diets in [33] contained unusually high starch concentrations which would have contributed to the declaration of these negative Pearson correlations. Nevertheless, the relatively high starch concentrations in reduced-CP diets may be negatively impacting on amino acid digestibilities to some extent.
The addition of lysine HCl to increase the dietary lysine concentrations from 10.0 to 11.8 g/kg in broiler diets has been shown to increase significantly the apparent ileal digestibility of lysine per se but also the digestibility of seven additional amino acids: isoleucine, methionine, phenylalanine, valine, aspartic acid, glutamic acid, tyrosine [91]. The average digestibility of the eight amino acids involved increased by 3.91% (0.824 versus 0.793) and of lysine per se by 5.42% (0.837 versus 0.794). This was attributed to dietary lysine enrichment up-regulating lysine transport systems with over-lapping amino acid specificities along the small intestine, based on data generated by Torras-Llort et al. [92]. That the moderate dietary addition of one non-bound amino acid generated significant differences in the digestibilities of seven other amino acids raises the question as to the magnitude of the impact generated by tangible additions of a range of non-bound amino acids in reduced-CP diets.
There is also evidence that competition for intestinal uptakes amongst di- and tri-peptides via the oligopeptide transporter, PepT-1, take place. A glycine-leucine dipeptide has been shown to depress absorption of a glycineglycine dipeptide via partially or totally competitive inhibition in human subjects [93]. This evidence for competition between monomeric amino acids and oligopeptides for intestinal uptakes only complicates determinations of apparent amino acid digestibility coefficients as discussed in Section 3.

5.2 Transition of Amino Acids across the Gut Mucosa

The visceral tissues, including the intestinal mucosa, pancreas and spleen, have high metabolic rates and the contribution of portal drained viscera to whole body energy expenditure is substantial and dietary amino acids are a major source of mucosal energy generation in pigs [94]. The majority of absorbed glutamic acid (95%), aspartic acid (95%) and glutamine (70%) are catabolised in the gut mucosa and do not enter the portal circulation in pigs, and probably other mammalian species [95]. This also applies to proline (40%) and the branched-chain amino acids (35–40%) to lesser extents. However, very little is known about the catabolism of amino acids or alternative energy substrates by the gut mucosa in broiler chickens, which has a considerable bearing on their bioequivalency. Watford et al. [96] concluded that glucose, glutamine and glutamate are the preferred energy substrates in avian enterocytes and this outcome was confirmed by Porteous [97], who found that glucose, glutamine and glutamate were the only individual substrates to stimulate respiration in intestinal brush-border cells of broiler chickens. There is the implication that a ‘catabolic ratio’ exists in avian enterocytes between glucose and amino acids (predominantly glutamate/glutamine) as substrates for energy provision but the extent that the balance of amino acids are catabolised is not known. In rats, glucose and glutamine provided similar proportions of energy to enterocytes in the gut mucosa [98]. This is consistent with the ‘catabolic ratio’ principle, although there are much higher rates of respiration in the gut mucosa or chickens than rats [97]. In respect of additional amino acids undergoing catabolism, it is pertinent that Stoll et al. [99] reported that catabolism dominated the first-pass intestinal metabolism of essential amino acids in young pigs and that catabolism of amino acids within enterocytes was quantitatively greater than amino acid anabolism or incorporation into mucosal protein. Catabolism of amino acids could result from decarboxylation or deamination and in the second reaction the amino group is removed and converted to ammonia (NH3) and the net portal outflow of ammonia accounted for 18% of total amino acid nitrogen intake [99].
The pigs were fitted with arterial, venous, portal and gastric catheters plus an ultrasonic portal blood flow probe to determine the net portal NHoutflow in the Stoll et al. [99] study. Such surgical interventions may not be feasible for determinations of the net portal flux of amino acids in broiler chickens. However, effectively the gross portal flux of amino acids has been determined in poultry by taking blood samples from the anterior mesenteric vein in three studies. In the first study, a ‘slow’ protein digestion rate foundation diet was compared with a ‘rapid’ protein digestion rate summit diet in broiler chickens from 7 to 28 days post-hatch [57]. The summit and foundation diets had analysed CP concentrations of 207.6 and 207.0 g/kg respectively and the essential differences were increases in nonbound amino acid inclusions (arginine, isoleucine, lysine, methionine, threonine, tryptophan) from 2.77 to 11.25 g/kg collectively, and in casein from 0 to 50 g/kg. Free amino acid concentrations were determined in both the portal (anterior mesenteric vein) and systemic (brachial vein) circulations. Total free amino acid concentrations in the portal circulation exceeded those in the systemic circulation by 14.7% (950 versus 828 µg/mL) but the patterns of amino acid concentrations were highly correlated (r = 0.998; p < 0.0001), which reflects the fact that amino acids in the portal circulation gain entry to enterocytes from both the gut lumen and the arterial circulation to the small intestine [100]. Instructively, free concentrations of six amino acids that were present in diets in part as non-bound amino acids collectively increased by 17.8% (245 versus 208 µg/mL); in comparison, free concentrations of fourteen protein-bound amino acids decreased by 1.94% (656 versus 669 µg/mL).
A similar outcome was reported in the second study [33] in which free amino acid concentrations in the portal circulation were determined in birds were offered maizebased diets with specified CP contents of 213 and 178 g/kg from 7 to 28 days post-hatch. The reduction in dietary CP resulted in an increase in non-bound amino acids from 3.54 g/kg (lysine, methionine, threonine) to 10.90 g/kg (lysine, methionine, threonine, isoleucine, valine, arginine). Across these amino acids, collective portal concentrations increased by 33.7% (333 versus 249 mg/mL) following the dietary CP reduction. However, the collective increase for the balance of ten protein-bound amino acids was a more modest 5.28% (738 versus 701 mg/mL).
In the third study [36], free amino acid concentrations in portal plasma in birds offered 215 and 165 g/kg CP, wheat-based diets were determined. Increases in portal concentration following the dietary CP reduction were confined to lysine with an increase of 33.7% (51.6 versus 38.6 µg/mL), methionine with an increase of 25.2% (14.4 versus 11.5 µg/mL) and an increase of 25.0% (70.0 versus 56.0 µg/mL) for threonine. These were the only three nonbound amino acids to be included in both 215 and 165 g/kg CP diets. However, the dietary CP reduction depressed collective plasma concentrations of nine protein-bound only amino acids by 21.1% (160.2 versus 203.0 µg/mL).
The consistent contrasts in these three studies suggest that non-bound amino acids are more likely to gain access to the portal circulation than their protein-bound counterparts. That non-bound amino acids enter anabolic and/or catabolic pathways within enterocytes to lesser extents may be due to their more rapid intestinal uptake rates and proximal sites of absorption in the small intestine where more starch/glucose is available as an alternative energy substrate.

5.3 Post-enteral Metabolism of Amino Acids and Protein Accretion

The entries of amino acids into the portal and, via the liver, systemic circulations are fragmented by their digestibilities, rates of intestinal uptakes and transitions across the gut mucosa which promotes the likelihood of post-enteral amino acid imbalances [101]. Consideration was given to the short-term dynamics in amino acid metabolism in this context by Schreurs et al. [102], who proposed that circulating free amino acids could be either incorporated into protein or undergo metabolic degradation. “Postprandial oxidative losses” was the description given to the second fate and was quite extensively evaluated by Victor Schreurs and his colleagues. The [13CO2] breath test was used to investigate short-term postprandial amino acid catabolism in rats [103], in which egg white protein and a corresponding blend of non-bound amino acids were compared. The postprandial catabolism of radioactively labelled leucine in the non-bound amino acid diet was more rapid and of a greater magnitude than in the protein-bound egg white diet, which was attributed to the faster, more proximal absorption of non-bound leucine. Subsequently, Nolles et al. [104] compared postprandial oxidative losses of non-bound and protein-bound amino acids in rats and humans, again using [13CO2] breath tests. Postprandial oxidative losses were significantly higher for non-bound leucine than protein-bound leucine in egg white in rats after a fiveday adaptation period. A similar finding was reported in human subjects. These outcomes are supported by an earlier study [105], which found that protein-bound amino acids in casein supported better whole-body protein homeostasis in rats than a corresponding blend of non-bound amino acids. These researchers suggested that the molecular form of dietary amino acids influences both their post-enteral oxidation and availability for protein synthesis.
Catabolism of amino acids can involve deamination with the release of ammonia (NH3), which is inherently toxic [106]. Moreover, there are indications that broiler chickens are more susceptible to NHintoxication than mammalian species. The intravenous LD50 of ammonium acetate in poultry is half that of mice (2.72 versus 5.64 mmol/kg) as reported in [107]. Postprandial oxidation of amino acids invites the ‘costs of deamination’ [108] and energy costs of deamination may amount to 9.5% of the dietary energy intake from data generated in [109], which is a substantial impost. In addition, the hepatic oxidative deamination of surplus amino acids generates NHthat demands detoxification [106]. Ammonia is detoxified by its condensation with glutamic acid to generate glutamine in a reaction catalysed by glutamine synthetase [110]. Ultimately NH3–N is excreted as uric acid-N in urine following the entry of glutamine into the Krebs uric acid cycle in which, pivotally, one mole of glycine is required for every mole of uric acid excreted [111]. Importantly, Ngo et al. [112] concluded that dietary glycine deficiencies limit uric acid synthesis and the importance of glycine in reduced-CP diets is well established [113]. Indeed, the glycine requirements for uric acid synthesis has been estimated to average of 49.2% of dietary glycine intake, but this requirement was highly variable [114].
Several poultry studies [115–117] have associated increased NHplasma concentrations with compromised growth performance. The transition from 220 to 190 g/kg CP diets in Ospina-Rojas et al. [117] increased plasma NHconcentrations by 59.4% (7.27 versus 4.56 mg/dL), which was associated with a 14.1% (781 versus 909 g/bird) reduction in weight gain and FCR were compromised by 9.79% (1.57 versus 1.43) from 1 to 21 days post-hatch. Thus, it appears that high dietary non-bound amino acid inclusions will generate post-enteral amino acid imbalances because of their relatively rapid intestinal uptakes resulting in the deamination of surplus amino acids. Thus, high non-bound amino acid inclusions in reduced-CP diets may be effectively squandered to some extent and cannot completely meet amino acid requirement targets. Moreover, excessive deamination of imbalanced amino acids coupled with inadequate NHdetoxification may result in NHtoxicity, or NHoverload, to the detriment of bird performance. In support of this proposal, Namroud et al. [115] concluded that large inclusions of non-bound essential amino acids in reduced-CP diets increased blood and excretory NHammonia concentrations, which may be the main cause of retarded growth and appetite in diets with less than 190 g/kg CP, due to negative effects of NHon tissue metabolism.
Protein accretion, or net protein synthesis, is the difference between protein deposition and protein degradation mainly in skeletal muscles and this protein turnover is a dynamic, continuous process [118]. The rapid accumulation of breast-muscle protein in rapidly growing chicks is due to a marked decrease in the fractional rate of degradation rather than increases in deposition fractional rates [119]. The dynamic nature of protein turnover in skeletal muscle is illustrated in the Urdaneta-Rincon and Leeson [120] study. These researchers examined protein turnover in Pectoralis major in 21-day-old broiler chickens offered fourteen diets with graded levels of lysine and crude protein. The absolute synthesis and breakdown rates of protein were determined and the differences represents net protein synthesis or accretion. Absolute protein synthesis averaged 626 mg/day, protein breakdown averaged 321 mg/day and net protein synthesis averaged 304 mg/day. Moreover, increasing net protein synthesis rates appeared to be quadratically associated with improvements in FCR.
Protein synthesis demands energy as an input of 5.35 kJ is required for the synthesis of one gram of protein [121] and is more energy demanding than protein degradation [122]. As concluded by Moughan [56], protein synthesis efficiency is markedly influenced by the harmonious provision of amino acids and non-amino energy supplying compounds (essentially glucose) to sites of protein synthesis. This emphasises the importance of starch-protein digestive dynamics [123]; however, this topic is peripheral to the remit of this review. The amino acid composition of breast and thigh meat, the two critical portions of the carcass, have been determined [124] and, clearly, the full complement of essential and non-essential amino acids must be made available at sites of protein synthesis to maximise protein accretion which underscores the importance of amino acid bioequivalency. have been studied by 14C02 breath tests, according

5.4 Branched-chain Amino Acids

As discussed, protein-bound, branched-chain amino acids (BCAA), isoleucine, leucine and valine, are slowly absorbed along the avian small intestine because of their hydrophobicity [77]. As a result, their dietary inclusions as non-bound amino acids generate larger than normal differentials in intestinal uptake rates. In a recent, as yet unpublished, study [125], elevated BCAA levels were assessed in 187.5 g/kg CP broiler diets based on wheat, sorghum or a wheat-sorghum blend from 7 to 28 days post-hatch. A feed grain by BCAA treatment interaction (p < 0.001) for weight gain was observed; elevated BCAA levels increased weight gain by 9.26% (1451 versus 1328 g/bird) in birds offered sorghum-based diets but decreased weight gain by 9.49% (1288 versus 1423 g/bird) in their wheatbased counterparts. This is a remarkable outcome and elevated BCAA levels did not influence weight gain in birds offered blended diets. Wheat-based diets contained up to 52.6% non-bound BCAA as a proportion of total analysed BCAA dietary concentrations, whereas the corresponding proportion of 27.2% in sorghum-based diets was substantially less. These proportions were quadratically related to weight gain (r = 0.700; p < 0.0001) across all treatments and the relevant quadratic equation predicts that weight gains deteriorate from a maximum of 1428 g/bird once the proportion of 29.2% is exceeded.
In [125], leucine inclusions were elevated from 105 to 150 relative to lysine (100) without and with elevations in isoleucine (65 to 75) and valine (75 to 85) to meet the possibility of BCAA antagonisms. In diets with all three elevations, sorghum-based diets contained 4.93 g/kg nonbound leucine with a balance of 35.81 g/kg non-bound amino acids and wheat-based diets contained 9.12 g/kg nonbound leucine and 45.04 g/kg non-bound amino acids, both in 187.5 g/kg CP diets. Clearly, there are differences in these respects; however, if non-bound and protein-bound amino acids were bioequivalent the remarkable outcome of a 9.26% increase in weight gain in birds offered sorghum-based diets as opposed to a 9.49% decrease with wheat-based diets would not have been likely.
Leucine is usually included in broiler diets at 109 relative to lysine and positive responses to elevated leucine levels in maize-based, broiler diets have been reported [126,127]. When leucine plasma and intracellular levels exceed requirements for protein accretion, leucine can stimulate protein synthesis by activating the mechanistic target of rapamycin (mTOR) to promote protein deposition and suppress protein degradation [128,129]. It appears that this may have taken place in sorghum-based diets but not in wheat-based diets. In addition to inherent differences between the two feed grains, one possible contributing factor may have been higher levels of post-prandial oxidation of non-bound leucine (and other amino acids) in birds offered wheat-based diets. The kinetics of radioactively labelled leucine in human subjects was investigated by Metges et al. [130]. These researchers found that resulting from oxidation of non-bound leucine, protein-bound leucine (in casein) was more efficiently used for protein synthesis during the absorptive phase than a casein-equivalent intake of nonbound amino acids. They also concluded that the form in which leucine is consumed affects its immediate metabolic fate and retention in the body. Thus, the outcomes of the Greenhalgh et al. [125] study support the concept that nonbound and protein-bound amino acids are not bioequivalent, as forecast in [131] and this may particularly apply to branched-chain amino acids.

6. Summary

A considerable amount of data has been examined which supports the argument that non-bound and protein-bound amino acids should not be considered to be bioequivalent. The case is made that the digestive dynamics of amino acids do impact on the bioequivalence of amino acids in broiler chickens and, fundamentally, the genesis of this impact is the differential in intestinal uptake rates. This finding is of extreme relevance to the successful development of reduced-CP broiler diets. Indeed, there is the implication that non-bound amino acids may be effectively “lost” to postprandial oxidation and this possibility should be investigated specifically in broiler chickens. Also, the concept of ‘NH3 overload’ should be assessed further in broilers offered reduced-CP diets with the precaution that taking blood samples for accurate determinations of plasma NH3 concentrations require special care. Finally, it may prove advantageous to explore alternatives to non-bound amino acids to meet requirements in reduced-CP diets as it does appear that non-bound amino acid inclusions may become excessive and not be accommodated by broiler chickens. Candidate alternatives include protein isolates and concentrates, oligopeptides and coated or protected amino acids. If the intestinal uptakes of any of these alternative amino acid sources are in closer alignment with protein-bound amino acids they may well result in better growth performance in birds offered reduced-CP diets as there would be attenuation of post-enteral amino acid imbalances.

8. Conclusions

Our contention is that non-bound and protein-bound amino acids are not bioequivalent; the fundamental genesis of which is the differential in their rates of intestinal uptakes. Intestinal uptakes of non-bound amino acids are more rapid, which may result in post-enteral amino acid imbalances. Reduced-CP broiler diets contain high inclusions non-bound amino acids and their development is almost certainly being thwarted by this disparity in amino acid bioequivalence.

Author Contributions

All four authors contributed to the compilation of this review and participated in some of the underlying cited research to varying extents, particularly PVC. PHS proposed the concept of this review which was written mainly by PHS and SPM and SYL was responsible for the final editing of the manuscript.

Ethics Approval and Consent to Participate

Not applicable.

Acknowledgment

The authors wish to acknowledge the support and encouragement of their wonderful colleagues in the Poultry Research Foundation and the support and guidance from Australian Research Council, AgriFutures Australia Chicken Meat and Evonik Operations GmbH.

Funding

This research received no external funding.

Conflict of Interest

The authors declare no conflict of interest.
    
This article was originally published in Frontiers in Bioscience (LandmarkEd) 2022;27(4):126. https://doi.org/10.31083/j.fbl2704126. This is an Open Access article under the CC BY 4.0 license.

[1] OECD/FAO. Agricultural Outlook 2021–2030. OECD Publishing: Paris. 2021.

[2] ACMF. Australian Chicken Meat Federation. 2022. Australian Industry Facts & Figures. Available at: https://www.chicken.or g.au/facts-and-figures (Accessed: 7 January 2022).

[3] Vaarst M, Steenfeldt S, Horsted K. Sustainable development perspectives of poultry production. World’s Poultry Science Journal. 2015; 71: 609–620.

[4] Fiala N. Meeting the demand: an estimation of potential future greenhouse gas emissions from meat production. Ecological Economics. 2008; 67: 412–419.

[5] Wu G, Bazer FW, Cross HR. Land-based production of animal protein: impacts, efficiency and sustainability. Annals of the New York Academy of Sciences. 2014; 1328: 18–28.

[6] Havenstein GB, Ferket PR, Qureshi MA. Growth, livability and feed conversion of 1957 versus 2001 broilers when fed representative 1957 and 2001 broiler diets. Poultry Science. 2003; 82: 1500–1508.

[7] Greenhalgh S, Chrystal PV, Selle PH, Liu SY. Reduced-crude protein diets in chicken-meat production: justification for an imperative. World’s Poultry Science Journal. 2020; 76: 537–548.

[8] Chrystal PV, Greenhalgh S, Selle PH, Liu SY. Facilitating the acceptance of tangibly reduced-crude protein diets for chickenmeat production. Animal Nutrition. 2020; 6: 247–257.

[9] Chrystal PV, Moss AF, Khoddami A, Naranjo VD, Selle PH, Liu SY. Impacts of reduced-crude protein diets on key parameters in male broiler chickens offered maize-based diets. Poultry Science. 2020; 99: 505–516.

[10] Chrystal PV, Moss AF, Khoddami A, Naranjo VD, Selle PH, Liu SY. Effects of reduced crude protein levels, dietary electrolyte balance, and energy density on the performance of broiler chickens offered maize-based diets with evaluations of starch, protein, and amino acid metabolism. Poultry Science. 2020; 99: 1421– 1431.

[11] Chrystal PV, Moss AF, Yin D, Khoddami A, Naranjo VD, Selle PH, et al. Glycine equivalent and threonine inclusions in reduced-crude protein, maize-based diets impact on growth performance, fat deposition, starch-protein digestive dynamics and amino acid metabolism in broiler chickens. Animal Feed Science and Technology. 2020; 261: 114387.

[12] Gasparri NI, Grau HR, Gutiérrez Angonese J. Linkages between soybean and neotropical deforestation: Coupling and transient decoupling dynamics in a multi-decadal analysis. Global Environmental Change. 2013; 23: 1605–1614.

[13] Nahm KH. Efficient Feed Nutrient Utilization to Reduce Pollutants in Poultry and Swine Manure. Critical Reviews in Environmental Science and Technology. 2002; 32: 1–16.

[14] Dunlop MW, Moss AF, Groves PJ, Wilkinson SJ, Stuetz RM, Selle PH. The multidimensional causal factors of ’wet litter’ in chicken-meat production. Science of the Total Environment. 2016; 562: 766–776.

[15] Van Harn J, Dijkslag MA, Van Krimpen MM. Effect of low protein diets supplemented with free amino acids on growth performance, slaughter yield, litter quality, and footpad lesions of male broilers. Poultry Science. 2019; 98: 4868–4877.

[16] Drew MD, Syed NA, Goldade BG, Laarveld B, Van Kessel AG. Effects of dietary protein source and level on intestinal populations of Clostridium perfringens in broiler chickens. Poultry Science. 2004; 83: 414–420.

[17] Wilkie DC, Van Kessel AG, White LJ, Laarveld B, Drew MD. Dietary amino acids affect intestinal Clostridium perfringens populations in broiler chickens. Canadian Journal of Animal Science. 2005; 85: 185–193.

[18] Alfonso-Avila AR, Cirot O, Lambert W, Létourneau-Montminy MP. Effect of low-protein corn and soybean meal-based diets on nitrogen utilization, litter quality, and water consumption in broiler chicken production: insight from meta-analysis. Animal. 2022; 16: 100458.

[19] Chrystal PV, Greenhalgh S, McInerney BV, McQuade LR, Akter Y, de Paula Dorigam JC, et al. Maize-based diets are more conducive to crude protein reductions than wheat-based diets for broiler chickens. Animal Feed Science and Technology. 2021; 275: 114867.

[20] Selle PH, de Paula Dorigam JC, Lemme A, Chrystal PV, Liu SY. Synthetic and crystalline amino acids: Alternatives to soybean meal in chicken-meat production. Animals. 2020; 10: 729.

[21] Yen JT, Kerr BJ, Easter RA, Parkhurst AM. Difference in rates of net portal absorption between crystalline and protein-bound lysine and threonine in growing pigs fed once daily. Journal of Animal Science. 2004; 82: 1079–1090.

[22] Gropper SS, Gropper DM, Acosta PB. Plasma amino acid response to ingestion of L-amino acids and whole protein. Journal of Pediatric Gastroenterology and Nutrition. 1993; 16: 143–150.

[23] Wu G. Dietary requirements of synthesizable amino acids by animals: a paradigm shift in protein nutrition. Journal of Animal Science and Biotechnology. 2014; 5: 34.

[24] Dean WF, Scott HM. The Development of an amino acid reference diet for the early growth of chicks. Poultry Science. 1996; 44: 803–808.

[25] Macelline SP, Chrystal PV, Liu SY, Selle PH. The dynamic conversion of dietary protein and amino acids into chicken-meat protein. Animals. 2021; 11: 2288.

[26] Si J, Frits CA, Burnham DJ, Waldroup PW. Extent to which crude protein may be reduced in corn-soybean meal broiler diets through amino acid supplementation. International Journal of Poultry Science. 2004; 3: 46–50.

[27] Greenhalgh S, McInerney BV, McQuade LR, Chrystal PV, Khoddami A, Zhuang MAM, et al. Capping dietary starch:protein ratios in moderately reduced crude protein, wheat-based diets showed promise but further reductions generated inferior growth performance in broiler chickens from 7 to 35 days post-hatch. Animal Nutrition. 2020; 6: 168–178.

[28] Baker DH. Advances in protein-amino acid nutrition in poultry. Amino Acids. 2009; 37: 29–41.

[29] Taherkhani R, Shivazad M, Zaghari M, Zareshahne A. Male and female broilers response to different ideal amino acid ratios during the second and third weeks post-hatch. International Journal of Poultry Science. 2005; 4: 563–567.

[30] Taherkhani R, Shivazad M, Zaghari M, Shahneh AZ. Comparison of Different Ideal Amino Acid Ratios in Male and Female Broiler Chickens of 21 to 42 Days of Age. Journal of Poultry Science. 2008; 45: 15–19.

[31] Salehifar E, Shivazad M, Foroudi F, Chamani M, Bahari Kashani RB. Reevaluation of digestible amino acid requirements of male and female broilers based on different ideal amino acids ratios in starter period. Livestock Science. 2012; 147: 154–158.

[32] Macelline SP, Chrystal PV, Toghyani M, Kidd MT, Selle PH, Liu SY. Ideal protein ratios and dietary crude protein contents interact in broiler chickens from 14 to 35 days post-hatch. Proceedings, Australian Poultry Science Symposium. 2021; 32: 180– 183.

[33] Moss AF, Sydenham CJ, Khoddami A, Naranjo VD, Liu SY, Selle PH. Dietary starch influences growth performance, nutrient utilisation and digestive dynamics of protein and amino acids in broiler chickens offered low-protein diets. Animal Feed Science and Technology. 2018; 237: 55–67.

[34] Hilliar M, Huyen N, Girish CK, Barekatain R, Wu S, Swick RA. Supplementing glycine, serine, and threonine in low protein diets for meat type chickens. Poultry Science. 2019; 98: 6857– 6865.

[35] Hilliar M, Hargreave G, Girish CK, Barekatain R, Wu SB, Swick RA. Using crystalline amino acids to supplement broiler chicken requirements in reduced protein diets. Poultry Science. 2020; 99: 1551–1563.

[36] Yin D, Chrystal PV, Moss AF, Liu SY, Yuan J, Selle PH. Effects of reducing dietary crude protein and whole grain feeding on performance and amino acid metabolism in broiler chickens offered wheat-based diets. Animal Feed Science and Technology. 2020; 260: 114386.

[37] Rodrigues I, Choct M. The foregut and its manipulation via feeding practices in the chicken. Poultry Science. 2018; 97: 3188– 3206.

[38] Lemme A, Rostagno HS, Petri A, Albino LF. Standardised ileal digestibility of crystalline amino acids. Proceedings of the 15th European Symposium on poultry nutrition, Balatonfüred, Hungary, 25–29 September, 2005 (pp. 462–464). World’s Poultry Science Association (WPSA): Beekbergen, Netherlands. 2005.

[39] Ravindran V, Morel PCH, Rutherfurd SM, Thomas DV. Endogenous flow of amino acids in the avian ileum as influenced by increasing dietary peptide concentrations. British Journal of Nutrition. 2009; 101: 822–828.

[40] Miner-Williams W, Moughan PJ, Fuller MF. Endogenous Components of Digesta Protein from the Terminal Ileum of Pigs Fed a Casein-Based Diet. Journal of Agricultural and Food Chemistry. 2009; 57: 2072–2078.

[41] Ravindran V. Progress in ileal endogenous amino acid flow research in poultry. Journal of Animal Science and Biotechnology. 2021; 12: 5.

[42] Fang R, Mantle M, Ceri H. Characterization of quail intestinal mucin as a ligand for endogenous quail lectin. Biochemical Journal. 1993; 293: 867–872.

[43] Apajalahti J, Vienola K. Interaction between chicken intestinal microbiota and protein digestion. Animal Feed Science and Technology. 2016; 221: 323–330.

[44] Munyaka PM, Nandha NK, Kiarie E, Nyachoti CM, Khafipour E. Impact of combined β-glucanase and xylanase enzymes on growth performance, nutrients utilization and gut microbiota in broiler chickens fed corn or wheat-based diets. Poultry Science. 2016; 95: 528–540.

[45] De Cesare A, Faria do Valle Ì, Sala C, Sirri F, Astolfi A, Castellani G, et al. Effect of a low protein diet on chicken ceca microbiome and productive performances. Poultry Science. 2019; 98: 3963–3976.

[46] Duvaux C, Guilloteau P, Toullec R, Sissons JW. A new method of estimating the proportions of different proteins in a mixture using amino acid profiles: application to undigested proteins in the preruminant calf. Annales De Zootechnie. 1990; 39: 9–18.

[47] Greenhalgh S, Lemme A, de Paula Dorigam JC, Chrystal PV, Macelline SP, Liu SY, Selle PH. Dietary crude protein concentrations, feed grains and whey protein interactively influence apparent digestibility coefficients of amino acids, protein (N), starch and performance of broiler chickens. Poultry Science. 2022. (Submitted)

[48] Wagner DD, Thomas OP. Influence of diets containing rye or pectin on the intestinal flora of chicks. Poultry Science. 1978; 57: 971–975.

[49] Choct M, Hughes RJ, Wang J, Bedford MR, Morgan AJ, Annison G. Increased small intestinal fermentation is partly responsible for the anti‐nutritive activity of non‐starch polysaccharides in chickens. British Poultry Science. 1996; 37: 609-621.

[50] Hübener K, Vahjen W, Simon O. Bacterial responses to different dietary cereal types and xylanase supplementation in the intestine of broiler chicken. Archiv für Tierernährung. 2002; 56: 167–187.

[51] Tannock GW. A special fondness for lactobacilli. Applied and Environmental Microbiology. 2004; 70: 3189–3194.

[52] Wang Y, Wu J, Lv M, Shao Z, Hungwe M, Wang J, et al. Metabolism characteristics of lactic acid bacteria and the expanding applications in food industry. Frontiers in Bioengineering and Biotechnology. 2021; 9: 612285.

[53] Wu G. Functional amino acids in growth, reproduction, and health. Advances in Nutrition. 2010; 1: 31–37.

[54] Bender DA. The metabolism of “surplus” amino acids. British Journal of Nutrition. 2012; 108: S113–S121.

[55] Bos C, Metges CC, Gaudichon C, Petzke KJ, Pueyo ME, Morens C, et al. Postprandial Kinetics of Dietary Amino Acids are the Main Determinant of their Metabolism after Soy or Milk Protein Ingestion in Humans. Journal of Nutrition. 2003; 133: 1308– 1315.

[56] Arai S, Kimura H. Comparative nutritional value for amino acids, oligopeptides and soybean protein. Journal of the American Oil Chemists’ Society. 1987; 64: 1692–1696.

[57] Moughan PJ. Simulating the partitioning of dietary amino acids: New directions. Journal of Animal Science. 2003; 81: E60–E67.

[58] Selle PH, Liu SY. The Relevance of Starch and Protein Digestive Dynamics in Poultry. Journal of Applied Poultry Research. 2019; 28: 531–545.

[59] Pedersen NB, Hanigan M, Zaefarian F, Cowieson AJ, Nielsen MO, Storm AC. The influence of feed ingredients on CP and starch disappearance rate in complex diets for broiler chickens. Poultry Science. 2021; 100: 101068.

[60] Truong HH, Bold RM, Liu SY, Selle PH. Standard phytase inclusion in maize-based broiler diets enhances digestibility coefficients of starch, amino acids and sodium in four small intestinal segments and digestive dynamics of starch and protein. Animal Feed Science and Technology. 2015; 209: 240–248.

[61] Truong HH, Chrystal PV, Moss AF, Selle PH, Liu SY. Rapid protein disappearance rates along the small intestine advantage poultry performance and influence the post-enteral availability of amino acids. British Journal of Nutrition. 2017; 118: 1031– 1042.

[62] Toghyani M, McQuade LR, McInerney BV, Moss AF, Selle PH, Liu SY. Initial assessment of protein and amino acid digestive dynamics in protein-rich feedstuffs for broiler chickens. PLoS ONE. 2020; 15: e0239156.

[63] Matthews DM. Intestinal absorption of peptides. Biochemical Society Transactions. 1983; 11: 808–810.

[64] Zwarycz B, Wong EA. Expression of the peptide transporters PepT1, PepT2, and PHT1 in the embryonic and posthatch chick. Poultry Science. 2013; 92: 1314–1321.

[65] Daniel H. Molecular and Integrative Physiology of Intestinal Peptide Transport. Annual Review of Physiology. 2004; 66: 361–384.

[66] Gilbert ER, Wong EA, Webb KE. Board-invited review: Peptide absorption and utilization: Implications for animal nutrition and health. Journal of Animal Science. 2008; 86: 2135–2155.

[67] Craft IL, Geddes D, Hyde CW, Wise IJ, Matthews DM. Absorption and malabsorption of glycine and glycine peptides in man. Gut. 1968; 9: 425–437.

[68] Maebuchi M, Samoto M, Kohno M, Ito R, Koikeda T, Hirotsuka M, et al. Improvement in the Intestinal Absorption of Soy Protein by Enzymatic Digestion to Oligopeptide in Healthy Adult Men. Food Science and Technology Research. 2007; 13: 45–53.

[69] Boldyrev AA, Aldini G, Derave W. Physiology and pathophysiology of carnosine. Physiological Reviews. 2013; 93: 1803– 1845.

[70] Kidd MT, Maynard CW, Mullenix GJ. Progress of amino acid nutrition for diet protein reduction in poultry. Journal of Animal Science and Biotechnology. 2021; 12: 45.

[71] Kralik G, Medic H, Marusc N, Kralik Z. Content of carnosine in chicken breast muscles. Proceedings, XIIIth European Poultry Science. Poster Session II. XIIIth European Poultry Conference: Tours, France. 2010.

[72] Kopec W, Jamroz D, Wiliczkiewicz A, Biazik E, Pulo A, Korzeniowska M, et al. Antioxidative characteristics of chicken breast meat and blood after diet supplementation with carnosine, l-histidine, and β-alanine. Antioxidants. 2020; 9: 1093.

[73] Sundekilde UK, Rasmussen MK, Young JF, Bertram HC. High resolution magic angle spinning NMR spectroscopy reveals that pectoralis muscle dystrophy in chicken is associated with reduced muscle content of anserine and carnosine. Food Chemistry. 2017; 217: 151–154.

[74] Lackner J, Albrecht A, Mittler M, Marx A, Kreyenschmidt J, Hess V, et al. Effect of feeding histidine and β-alanine on carnosine concentration, growth performance, and meat quality of broiler chickens. Poultry Science. 2021; 100: 101393.

[75] Wu G. Amino acids: metabolism, functions, and nutrition. Amino Acids. 2009; 37: 1–17.

[76] Canolty NL, Nasset ES. Intestinal Absorption of Free and Protein-bound Dietary Methionine in the Rat. Journal of Nutrition. 1975; 105: 867–877.

[77] Liu SY, Selle PH, Court SG, Cowieson AJ. Protease supplementation of sorghum-based broiler diets enhances amino acid digestibility coefficients in four small intestinal sites and accelerates their rates of digestion. Animal Feed Science and Technology. 2013; 183: 175–183.

[78] Choonara BF, Choonara YE, Kumar P, Bijukumar D, du Toit LC, Pillay V. A review of advanced oral drug delivery technologies facilitating the protection and absorption of protein and peptide molecules. Biotechnology Advances. 2014; 32: 1269–1282.

[79] Sun M, Jiao H, Wang X, Uyanga VA, Zhao J, Lin H. Encapsulated crystalline lysine and DL-methionine have higher efficiency than the crystalline form in broilers. Poultry Science. 2020; 99: 6914–6924.

[80] Hyde R, Taylor PM, Hundal HS. Amino acid transporters: Roles in amino acid sensing and signaling in animal cells. Biochemical Journal. 2003; 373: 1–18.

[81] Miska KB, Fetterer RH. Expression of amino acid and sugar transporters, aminopeptidase, and the di- and tri-peptide transporter PepT1; differences between modern fast growing broilers and broilers not selected for rapid growth. Poultry Science. 2019; 98: 2272–2280.

[82] Matthews DM, Laster L. Competition for intestinal transport among five neutral amino acids. American Journal of Physiology. 1965; 208: 601–606.

[83] Sheerin HE, Bird FH. Studies on the Competitive Absorption of Neutral L-Amino Acids from the Avian Small Intestine. Journal of Nutrition. 1972; 102: 1563–1567.

[84] Riley WW, Welch CC, Nield ET, Austic RE. Competitive interactions between the basic amino acids in chicken intestine in situ. Nutrition Reports International. 1989; 40, 383–393.

[85] Tasaki I, Takahashi N. Absorption of Amino Acids from the Small Intestine of Domestic Fowl. Journal of Nutrition. 1966; 88: 359–364.

[86] Roder PV, Geillinger KE, Zietek TS, Thorens B, Koepsells H, Daniel H. The role of SGLT1 and GLUT2 in intestinal glucose transport and sensing. PLoS ONE. 2014; 9: e89977.

[87] Alvarado F, Robinson JWL. A kinetic study of the interaction between amino acids and monosaccharides at the intestinal brush-border membrane. Journal of Physiology. 1975; 295: 457–475.

[88] Murer H, Sigrist-Nelson K, Hopfer U. On the mechanism of sugar and amino acid interaction in intestinal transport. Journal of Biological Chemistry. 1975; 250: 7392–7396.

[89] Stevens BR, Kaunitz JD, Wright EM. Intestinal transport of amino acids and sugars: advances using membrane vesicles. Annual Review of Physiology. 1984; 46: 417–433.

[90] Vinardell MP. Mutual inhibition of sugars and amino acid intestinal absorption. Comparative biochemistry and physiology. Part A, Molecular & integrative physiology. 1990; 95: 17–21.

[91] Selle PH, Ravindran V, Ravindran G, Bryden WL. Effects of Dietary Lysine and Microbial Phytase on Growth Performance and Nutrient Utilisation of Broiler Chickens. Asian-Australasian Journal of Animal Sciences. 2007; 20: 1100–1107.

[92] Torras-Llort M, Soriano-García JF, Ferrer R, Moretó M. Effect of a lysine-enriched diet on L-lysine transport by the brushborder membrane of the chicken jejunum. American Journal of Physiology. 1998; 274: R69–R75.

[93] Adibi SA. The oligopeptide transporter (Pept-1) in human intestine: biology and function. Gastroenterology. 1997; 113: 332– 340.

[94] Stoll B, Burrin DG, Henry J, Yu H, Jahoor F, Reeds PJ. Substrate oxidation by the portal drained viscera of fed piglets. American Journal of Physiology. 1999; 277: E168–E175.

[95] Wu G. Amino acids in nutrition, health, and disease. Frontiers in Bioscience-Landmark. 2021; 26: 1386–1392.

[96] Watford M, Lund P, Krebs HA. Isolation and metabolic characteristics of rat and chicken enterocytes. Biochemical Journal. 1979; 178: 589–596.

[97] Porteous JW. Glutamate, glutamine, aspartate, asparagine, glucose and ketone-body metabolism in chick intestinal brushborder cells. Biochemical Journal. 1980; 188: 619–632.

[98] Fleming SE, Zambell KL, Fitch MD. Glucose and glutamine provide similar proportions of energy to mucosal cells of rat small intestine. American Journal of Physiology. 1997; 273: G968–G978.

[99] Stoll B, Henry J, Reeds PJ, Yu H, Jahoor F, Burrin DG. Catabolism dominates the first-pass intestinal metabolism of dietary essential amino acids in milk protein-fed piglets. Journal of Nutrition. 1998; 128: 606–614.

[100] Newsholme EA, Carrié AL. Quantitive aspects of glucose and glutamine metabolism by intestinal cells. Gut. 1994; 35: S13– S17.

[101] Harper AE, Rogers QR. Amino acid imbalance. Proceedings of the Nutrition Society. 1965; 24: 173–190.

[102] Schreurs VV, Koopmanschap RE, Boekholt HA. Short-term dynamics in protein and amino acid metabolism. Zeitschrift für Ernährungswissenschaft. 1998; 36: 336–339.

[103] Bujko J, Schreurs VVAM, Nolles JA, Verreijen AM, Koopmanschap RE, Verstegen MWA. Application of a [13CO2] breath test to study short-term amino acid catabolism during the postprandial phase of a meal. British Journal of Nutrition. 2007; 97: 891–897.

[104] Nolles JA, Verreijen AM, Koopmanschap RE, Verstegen MWA, Schreurs VVAM. Postprandial oxidative losses of free and protein-bound amino acids in the diet: interactions and adaptation. Journal of Animal Physiology and Animal Nutrition. 2009; 93: 431–438.

[105] Daenzer M, Petzke KJ, Bequette BJ, Metges CC. Whole-body nitrogen and splanchnic amino acid metabolism differ in rats fed mixed diets containing casein or its corresponding amino acid mixture. Journal of Nutrition. 2001; 131: 1965–1972.

[106] Stern RA, Mozdziak PE. Differential ammonia metabolism and toxicity between avian and mammalian species, and effect of ammonia on skeletal muscle: a comparative review. Journal of Animal Physiology and Animal Nutrition. 2019; 103: 774–785.

[107] Wilson RP, Muhrer ME, Bloomfield RA. Comparative ammonia toxicity. Comparative Biochemistry and Physiology. 1968; 25: 295–301.

[108] Selle PH, Chrystal PV, Liu SY. The cost of deamination in reduced-crude protein broiler diets. Proceedings, Australian Poultry Science Symposium. 2020; 31: 63–66.

[109] van Milgen J. The role of energy, serine, glycine, and 1-carbon units in the cost of nitrogen excretion in mammals and birds. Animal. 2021; 15: 100213.

[110] Minet R, Villie F, Marcollet M, Meynial-Denis D, Cynober L. Measurement of glutamine synthetase activity in rat muscle by a colorimetric assay. Clinica Chimica Acta. 1997; 268: 121–132.

[111] Salway JG. The Krebs Uric Acid Cycle: A Forgotten Krebs Cycle. Trends in Biochemical Sciences. 2018; 43: 847–849.

[112] Ngo A, Coon CN, Beecher GR. Dietary glycine requirements for growth and cellular development in chicks. Journal of Nutrition. 1977; 107: 1800–1808.

[113] Dean DW, Bidner TD, Southern LL. Glycine supplementation to low protein, amino acid-supplemented diets supports optimal performance of broiler chicks. Poultry Science. 2006; 85: 288– 296.

[114] Selle P, Cantor D, McQuade L, McInerney B, de Paula Dorigam J, Macelline S, et al. Implications of excreta uric acid concentrations in broilers offered reduced crude protein diets and dietary glycine requirements for uric acid synthesis. Animal Nutrition. 2021; 7: 939–946.

[115] Namroud NF, Shivazad M, Zaghari M. Effects of fortifying low crude protein diet with crystalline amino acids on performance, blood ammonia level, and excreta characteristics of broiler chicks. Poultry Science. 2008; 87: 2250–2258.

[116] Ospina-Rojas IC, Murakami AE, Moreira I, Picoli KP, Rodrigueiro RJB, Furlan AC. Dietary glycine+serine responses of male broilers given low-protein diets with different concentrations of threonine. British Poultry Science. 2013; 54: 486–493.

[117] Ospina-Rojas IC, Murakami AE, Duarte CRA, Eyng C, Oliveira CAL, Janeiro V. Valine, isoleucine, arginine and glycine supplementation of low-protein diets for broiler chickens during the starter and grower phases. British Poultry Science. 2014; 55: 766–773.

[118] Swick RW. Growth and protein turnover in animals. Critical Reviews in Food Science and Nutrition. 1982; 16: 117–126.

[119] Maruyama K, Sunde ML, Swick RW. Growth and muscle protein turnover in the chick. Biochemical Journal. 1979; 176: 573– 582.

[120] Urdaneta-Rincon M, Leeson S. Muscle (pectoralis major) protein turnover in young broiler chickens fed graded levels of lysine and crude protein. Poultry Science. 2004; 83: 1897–1903.

[121] Aoyagi Y, Tasaki I, Okumura J, Muramatsu T. Energy cost of whole-body protein synthesis measured in vivo in chicks. Comparative Biochemistry and Physiology. A, Comparative Physiology. 1988; 91: 765–768.

[122] Klasing KC, Calvert CC, Jarrell VL. Growth characteristics, protein synthesis, and protein degradation in muscles from fast and slow-growing chickens. Poultry Science. 1987; 66: 1189– 1196.

[123] Liu SY, Selle PH. A consideration of starch and protein digestive dynamics in chicken-meat production. World’s Poultry Science Journal. 2015; 71: 297–310.

[124] Hamm D. Amino Acid Composition of Breast and Thigh Meat from Broilers Produced in Four Locations of the United States. Journal of Food Science. 1981; 46: 1122–1124.

[125] Greenhalgh S, Macelline SP, Chrystal PV, Liu SY, Selle PH. Elevated branched-chain amino acid inclusions generate distinctly divergent growth performance response in broiler chickens offered wheat-and/or sorghum-based, reduced-crude protein diets. Animal Feed Science and Technology. 2022. (Submitted)

[126] Yamazaki M, Murakami H, Nakashima K, Abe H, Takemasa M. Effects of excess essential amino acids in low protein diets on abdominal fat deposition and nitrogen excretion of the broiler chicks. Journal of Poultry Science. 2006; 43: 150–155.

[127] Chen X, Zhang Q, Applegate TJ. Impact of dietary branched chain amino acids concentration on broiler chicks during aflatoxicosis. Poultry Science. 2016; 95: 1281–1289.

[128] Harper AE, Miller RH, Block KP. Branched-chain amino acid metabolism. Annual Review of Nutrition. 1984; 4: 409–454.

[129] Li F, Yin Y, Tan B, Kong X, Wu G. Leucine nutrition in animals and humans: mTOR signaling and beyond. Amino Acids. 2011; 41: 1185–1193.

[130] Metges CC, El-Khoury AE, Selvaraj AB, Tsay RH, Atkinson A, Regan MM, et al. Kinetics of L-[1-13C]leucine when ingested with free amino acids, unlabeled or intrinsically labeled casein. American Journal of Physiology - Endocrinology and Metabolism. 2000; 278: E1000–E1009.

[131] Liu SY, Selle PH. Starch and protein digestive dynamics in lowprotein diets supplemented with crystalline amino acids. Animal Production Science. 2017; 57: 2250–2256.

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Authors:
Dr. Peter Selle
The University of Sydney
The University of Sydney
Shemil Macelline
The University of Sydney
The University of Sydney
Peter Chrystal
Baiada Poultry
Baiada Poultry
Dr Sonia Yun Liu
The University of Sydney
The University of Sydney
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