1. Introduction
Conventionally, broiler nutritional needs have been estimated by empirical mathematical models (linear response plateau, curvilinear response plateau, exponential, etc.), which describe amino acid (AA) requirements as optimal doses required to optimize performance and carcass responses [
1]. Although widespread, such an approach has some limitations, which might affect the accurate representation of bird requirements [
2]. First, by fitting broiler responses to such models, a single optimal dose is estimated for a given growth period, which, therefore, characterizes requirements as static for the entire growth phase. The misconception of such an interpretation is that birds are never in a steady state; rather, their body protein accretion and body chemical composition change dynamically as they grow [
3], which consequently affect their nutritional requirements for AAs. Second, the estimates obtained from such models represent strictly the experimental conditions under which birds were reared in a given assay, and therefore, such requirements could hardly be assumed to be the same for flocks reared in a different environment, with a different health status, and/or fed different feed ingredients [
4].
A more suitable approach, the factorial method, accounts for inputs such as body weight (BW), body protein retention, and the efficiency of AA utilization to predict requirements irrespective of genotype, age, and environment [
5]. By predicting requirements daily, based on broiler growth rates, factorial models allow poultry nutritionists to design flexible and dynamic feeding programs according to specific and multiple economic scenarios and objectives. Although more appropriate, the decision of applying a factorial approach to predict broiler AA requirements has three main concerns, which include the knowledge of daily growth rates, the amounts of post-absorbed AA partitioned to meet maintenance requirements, and the efficiency at which birds utilize AA for growth. Whereas considerable efforts have been put forwards describing broiler genotypes [
6] and estimating maintenance requirements for essential AAs [
7,
8,
9,
10,
11], little and controversial information regarding the efficiency of AA utilization are available in the literature. The efficiency of utilization of a given AA may be understood as the dietary fraction of such AA, which, after consumed and post-absorbed, is retained in bodily proteins. Inaccuracies when estimating the efficiency of AA utilization impact tremendously feeding programs since the bird requirements for protein gain are directly affected by such values.
Lysine and Arg are defined as basic essential AAs, whose carbon skeleton cannot be synthesized by poultry, and, which, therefore, must be provided by diets to meet bird needs for maintenance and growth. The published literature describes the efficiency of Lys utilization for broilers ranging from 0.50 to 0.81 [
8,
10,
11]. Presumably, such discrepancies may be attributed to ongoing genetic improvements of broiler strains that may not have only increased body protein accretion rates but also improved the efficiency with which post-absorbed nutrients are utilized for protein deposition. Contrary to Lys, there is little information regarding the efficiency of Arg utilization in broilers, which consequently constrains the utilization of factorial approach to estimate requirements for such an amino acid. The focus of this research was to investigate broiler responses to SID Lys and SID Arg and, based on such responses, to estimate the efficiency with which birds utilize both AAs for growth; additionally, two factorial models to estimate broiler intakes for SID Lys and SID Arg were developed. Therefore, twelve dose–response assays were performed to estimate the efficiency of Lys and Arg utilization for male and female broiler chickens in the starter, grower, and finisher phases; based on such values, factorial models to predict broiler requirements for both AAs were developed.
4. Discussion
The main objective of the current research was to estimate the efficiency of Lys and Arg utilization for growth in male and female broiler chickens at different growth phases and, based on such values, to model bird requirements for both AAs. Because experimental feeds were formulated using the dilution technique [
13], we could assess broiler responses to a wide range of SID Lys or SID Arg doses maintaining unaltered the ratio among all the essential AAs in the feeds. Therefore, the antagonistic interactions among AAs were minimized as the concentration of AAT was gradually increased in feeds. Another advantage of this method is that the ratio between free amino acids and protein-bound amino acids is not modified regardless of the concentration of the AAT, which avoids imbalances in the pool of free amino acids in the blood and the catabolism of AAs, which, in turn, could decrease the efficiency of utilization [
1,
19]. In both assays, the lowest level of Lys and Arg studied corresponded to approximately 50% of the highest level, regardless of the sex and phase assessed. This wide amplitude of Lys and Arg concentration increased the magnitude of growth responses, i.e., protein and AA deposition rates, which consequently allowed estimating the efficiency of Lys and Arg utilization for growth. In the current research the more diluted the experimental diets, the poorer were the concentration of essential and non-essential AA, and consequently the lower the intake of AAs, BW, and protein deposition on FFB and feathers of broiler chickens.
Although in the current research the efficiencies of Lys utilization were numerically different, no statistical effects of age or sex were noticed on the values estimated. Consequently, the regression model without the interaction effect was used to estimate the value of 0.79 for male and female broilers throughout the entire growth period. Our outcomes support previous research findings that the efficiency of Lys utilization for growth in male broilers is unaffected by the growth phase [
8]. According to such authors, the efficiency of Lys utilization for growth ranged from 0.73 to 0.79 throughout the growth period, resulting in an average value of 0.77. The values estimated in the current assay were higher than that reported by [
10] who estimated the efficiency of Lys utilization for male broiler chickens from 8 to 21 days as 0.71. Sklan and Noy [
11] calculated the efficiency of Lys utilization to be between 0.52 to 0.81 for males. Presumably, the discrepancies between our findings and the published literature might be attributed to methodological aspects, in this case, the feed formulation technique used to produce experimental treatments. Except [
8], all the other authors mentioned above-formulated feeds based on the supplementation technique in which the studied AA was gradually added to a basal low-protein diet in its crystalline form to produce dietary treatments or to genetic improvements in broiler strains. As highlighted by [
20], such a technique may increase the catabolism of the first, limiting AA and decreasing its efficiency of utilization. Another hypothesis for the greater values found in our study is the continuous genetic improvements of broiler strains. Because modern hybrids have been increasingly selected to convert feed protein into bodily protein more efficiently, a higher absorption and/or utilization of AA provided by feeds is expected for strains currently used compared with genotypes reared decades ago.
Based on Arg intake and bodily protein deposition data, we estimated the efficiency of Arg utilization for growth to be between 0.61 to 0.63 for females and 0.62 to 0.63 for males for the growth phases assessed. Similarly, to Lys assays, no statistical differences were noticed in the efficiencies of Arg utilization among the growth phases and sexes; thus, the value of 0.62 was considered for both sexes in the entire growth period. We are not aware of any published study in which the efficiency of Arg utilization for broiler chickens was measured, which makes the comparison between our outcomes and the published literature difficult. In the current research, the efficiency of Lys utilization was higher than Arg. Such outcomes were already expected and might be presumably related to the postabsorptive metabolism of each one of the studied AA. Whereas post-absorbed Lys is utilized almost in its totality for bodily protein synthesis [
21], Arg is versatile and participates in several metabolic functions such as the synthesis of ornithine, polyamines, prolines, creatine, nitric oxide (NO), and citrulline, which, in turn, modulate immune and inflammatory responses and affect energy metabolism [
22,
23,
24]. Because Arg is such a versatile AA, any physiological process, which disrupts bird homeostasis such as heat stress or immune challenges, for example, may affect its partition in post-absorbed metabolism and consequently shift its efficiency of utilization. Klasing [
25] reported that AA needs can be increased seven times as the immune system is activated, due to the production of antibodies, mainly by the production of acute-phase proteins. The activation of the immune system is expected to have a significant effect on AA deposition because it is assumed that the efficiency with which protein is utilized for the purposes of the immune response is modified [
26]. Under a health challenge, broilers increase the plasma NO concentrations, suggesting a shift of Arg metabolic prioritization, which may impact the prediction of efficiency utilization for protein deposition and, consequently, the requirement for growth [
27,
28,
29]. It is essential to notice that this observation does not prove a shift in the efficiency of utilization but rather evidences that the metabolic fate of Arg is highly dependent on the health status of the broiler.
As well as for Lys, genetic selection may have also impacted the efficiency of Arg utilization. The high growth rate in modern broilers has increased the metabolic demand for oxygen. The hypoxic state, due to the limited blood supply in the breast muscle, triggers myopathies (white striping, wooden breast, and spaghetti meat) that affect the pectoralis major of fast-growing broiler chickens [
30,
31]. Dietary Arg can elevate plasma NO levels, a potent vasodilator molecule that can improve blood flow to the breast muscle, decreasing cellular damage [
27]. There is only one physiological pathway of the production of NO, where Arg is converted into citrulline and NO stoichiometrically (1:1) by catalytic action [
22,
32,
33]. There is evidence that NO production in healthy broiler chickens is approximately 85% lower than in infected birds (6.92 µM vs. 47.01 µM) [
29]. In our study, the animals were in the ideal condition of temperature and sanitary status; thus, the efficiency of Arg utilization estimated here may not represent the Arg utilization in the worst breeding conditions, since the organism may prioritize the Arg to produce NO instead of body deposition.
Based on our findings for Lys or Arg utilization, two models were adjusted to the data: a model in which the requirements for maintenance and growth were based on BW and BWG (M1) and a second one that was more complex, which considered the differences in the AA profile of body and feathers and which expressed requirements based on body protein weight and protein deposition (M2) [
4]. The main advantage of the M1 model is that the inputs necessary to predict requirements may be easily obtained from the breeder guidelines. However, it is worth recalling that AA are not required either to maintain body lipid reserves or for body lipid deposition [
34]. Therefore, the prediction of AA requirements will not differ according to the amount of lipids in the body. The M2 model accounts for body and feather protein weight exclusively, and besides ignoring lipid weight when predicting requirements, it accounts for differences in the AA composition of body and feathers; it thereby partitions maintenance and growth requirements into feather-free bodies and feathers. In addition, the errors obtained with M2 were smaller than errors from M1 (
Figure 1), which suggests that the principles used to develop M2, as explained above, are reasonable.
To compare the values estimated by our models with published nutritional recommendations, a four-phase feeding program was simulated (
Figure 2). For the first two phases, regardless of the studied AA, the AAT intakes estimated by M1 were higher than those described by Brazilian Tables for Poultry and Swine (BT) [
14] and the Cobb500
® guidelines [
12]. From 21-days-old the intake recommendations of Lys and Arg reported in the Brazilian Tables were higher than values estimated by M1, M2, and the guidelines. A factorial approach was also provided in the BT to determine the Lys intake for broiler chickens, in which the requirement for maintenance was 70 mg/kgBW
0.75, whereas the lysine needs for maintenance used herein was 45 mg/kgBW
0.75 [
8], which may partly explain the difference observed between both predictions. In the case of Arg, no factorial equation was provided in the BT, so the ideal ratio with lysine given was applied. The ratio between Arg:Lys intake determined by M1 and M2 were, on average, 103% and 121% for males, while, for females, this ratio was 106% and 123%, which were higher than the 107% recommended by BT and the 105% suggested by Cobb500
®. In a recent study, it was also observed that the estimates obtained for M1 and BT were higher than those obtained from M2 [
35], which, presumably, might be associated with the inputs used by models to predict requirements mainly because M2, unlike other models, does not consider the lipid fraction of BW to determine AA requirements. It is interesting to notice that no equation was reported by Cobb [
12], suggesting that their recommended values are the amount necessary to achieve the performance given in the guidelines or perhaps something close to the best economic return. However, since the price of broiler production and revenues change very often, nutritionist should be able to calculate the amount of AA in the feed and adjust their profit. The models presented herein demonstrate to be a reliable method to estimate the intake for SID Lys and Arg, allowing nutritionists to rapidly change a feed formula, accommodating variations that may occur, such as an increase in ingredient prices. The M2 model estimated the SID Lys and Arg with reduced error, but the inputs were based on a feather-free body and feather protein, which are not the usual data collected in poultry farms and may prove difficult in application. Model M1 was practical because body weight and body weight gain were the inputs in the model, but nutritionists need to be aware that the errors of predictions may increase when using this model. The use of factorial models, especially the ones presented, are only possible with a correct value of efficiency of utilization, and this is, perhaps, the important contribution of this study.