Skip to main content
Animals : an Open Access Journal from MDPI logoLink to Animals : an Open Access Journal from MDPI
. 2024 Feb 29;14(5):764. doi: 10.3390/ani14050764

Estimation of Protein and Amino Acid Requirements in Layer Chicks Depending on Dynamic Model

Miao Liu 1, Zhi-Yuan Xia 1, Hong-Lin Li 1, Yu-Xuan Huang 1, Alainaa Refaie 1, Zhang-Chao Deng 1,*, Lv-Hui Sun 1,*
Editor: Csaba Szabó1
PMCID: PMC10930605  PMID: 38473150

Abstract

Simple Summary

The nutritional requirements of layer hens for protein and amino acids change over time during growth, and traditional feed formulation cannot accurately meet the requirements of the layer hens and tends to waste resources. The use of mathematical models to consider and include the changes in body weight and nutritional requirements of animals at different ages allows appropriate nutrition to be supplied at different stages of animal growth. In this experiment, the Gompertz model was used to consider the growth curve of the layer hens. And the analytical factorization method was used to classify the requirements of the layer hens into growth requirements and maintenance requirements. A dynamic prediction model for protein and amino acid requirements in terms of age was successfully established through a feeding test, slaughter test, nitrogen balance test, and digestive metabolism test. After calculations using the R programming language, it was noticed that the protein requirements of the layer hens decrease with increasing days of age and the amino acid requirements are lower than the recommended values of NRC. The predicted values of the model can provide some reference values for feed formulation in poultry production.

Abstract

Four trials were conducted to establish a protein and amino acid requirement model for layer chicks over 0–6 weeks by using the analytical factorization method. In trial 1, a total of 90 one-day-old Jing Tint 6 chicks with similar body weight were selected to determine the growth curve, carcass and feather protein deposition, and amino acid patterns of carcass and feather proteins. In trials 2 and 3, 24 seven-day-old and 24 thirty-five-day-old Jing Tint 6 chicks were selected to determine the protein maintenance requirements, amino acid pattern, and net protein utilization rate. In trial 4, 24 ten-day-old and 24 thirty-eight-day-old Jing Tint 6 chicks were selected to determine the standard terminal ileal digestibility of amino acids. The chicks were fed either a corn–soybean basal diet, a low nitrogen diet, or a nitrogen-free diet throughout the different trials. The Gompertz equation showed that there is a functional relationship between body weight and age, described as BWt(g) = 2669.317 × exp(−4.337 × exp(−0.019t)). Integration of the test results gave a comprehensive dynamic model equation that could accurately calculate the weekly protein and amino acid requirements of the layer chicks. By applying the model, it was found that the protein requirements for Jing Tint 6 chicks during the 6-week period were 21.15, 20.54, 18.26, 18.77, 17.79, and 16.51, respectively. The model-predicted amino acid requirements for Jing Tint 6 chicks during the 6-week period were as follows: Aspartic acid (0.992–1.284), Threonine (0.601–0.750), Serine (0.984–1.542), Glutamic acid (1.661–1.925), Glycine (0.992–1.227), Alanine (0.909–0.961), Valine (0.773–1.121), Cystine (0.843–1.347), Methionine (0.210–0.267), Isoleucine (0.590–0.715), Leucine (0.977–1.208), Tyrosine (0.362–0.504), Phenylalanine (0.584–0.786), Histidine (0.169–0.250), Lysine (0.3999–0.500), Arginine (0.824–1.147), Proline (1.114–1.684), and Tryptophan (0.063–0.098). In conclusion, this study constructed a dynamic model for the protein and amino acid requirements of Jing Tint 6 chicks during the brooding period, providing an important insight to improve precise feeding for layer chicks through this dynamic model calculation.

Keywords: Jing Tint 6, layer chicks, amino acids, dynamic model, requirements

1. Introduction

The nutritional requirements of animals are a dynamic process that changes with age [1]. For layer chicks, providing appropriate nutrition at different growth stages can promote organ growth and development during the rearing period, subsequently improving their performance during the egg-laying period [2,3]. Jing Tint 6 is a layer breed that has red feathers, has a high egg-laying performance, and produces pink eggs in China. However, conventional feed formulation for layer chicks relies on feeding standards to determine corresponding ratios. This dietary approach will lead to an inadequate nutrient supply during the early stage and excessive nutrient supply in the later stage, which impacts the production potential and the egg-laying performance of Jing Tint 6 chicks [4]. Among various nutrients, dietary protein is digested to release free amino acids, which are absorbed into the bloodstream and utilized by various tissues for synthesizing new proteins [5,6]. Protein deficiency in the diet will lead to reduced growth and even weight loss in chickens [7]. Therefore, establishing a balance between protein and amino acid supply and demand is fundamental and significant in achieving high performance for Jing Tint 6 chicks.

The dynamic model, integrating breed, feed, and environment, can accurately predict nutritional requirements, feed intake, and growth rate of animals at different feeding stages. Previous studies have reported that various non-linear models including Gompertz [8], Logistic [9], Bridges [10], and Richards [11] were applied to describe growth curves and patterns in different animals. Notably, the Gompertz equation (BWt = A × exp [−b × exp(−k × t)]) stood out as the most suitable for characterizing the potential growth curve of poultry [12]. This equation can condense a set of age–weight data into a few parameters, effectively mitigating the impact of experimental errors and fitting well [13,14]. Except for the statistical model, the primary research methods for determining amino acid requirements in poultry encompass the factorial method, gradient addition method, and dietary dilution method [15]. In particular, the factorial method classifies the amino acid requirements of poultry into maintenance requirements and requirements for carcass and feather deposition [16]. These components exhibit a high correlation with the amino acid requirements for bird growth [17]. Previous research has shown that the amino acid requirements determined by the analytical factorization method closely match with actual values recommended by the NRC (1972) for broilers and turkeys [18,19,20,21]. Therefore, the objective of the current study is to determine protein and amino acid requirements by the analytical factorization method and to establish a dynamic nutritional requirement prediction model based on the Gompertz model for commercial layer chicks (Jing Tint 6) during the rearing period.

2. Materials and Methods

2.1. Birds, Diets, and Sample Collection

This study was approved, conducted, and supervised by The Institutional Animal Care and Use Committee of Huazhong Agricultural University, China.

Trial 1: A total of 90 one-day-old Jing Tint 6 chicks with similar average BWs were selected and randomly allotted to 6 replicates of 15 birds each. The birds were fed a corn–soybean-based diet (Table S1). The body weight and feed intake of birds were measured weekly. Also, mortality was recorded throughout the trial [22]. Two birds with a close average body weight were selected from each replicate to be weighed and euthanized weekly [23]. The carcasses and feathers were separated, weighed, and collected to determine the protein deposition and amino acid pattern.

Trials 2 and 3: A total of 24 seven-day-old and 24 thirty-five-day-old Jing Tint 6 chicks with similar average BWs were selected. Each group was divided into 2 dietary treatment groups with 4 replicates of 3 birds. The birds were fed a low-nitrogen diet and nitrogen-free diet for one week in trial 2, while they were fed a basal diet and nitrogen-free diet for one week in trial 3. The nitrogen-free diet and low-nitrogen diet (Table S2) were formulated as in previous studies [12,24]. The first three days were the pre-test period and the last four days were the main test period. Feces from each group were collected during the test period. Briefly, the feces were dried to a constant weight. After feces collection, they were rehydrated indoors for 24 h, weighed, and recorded. Then, they were pulverized, sieved through a 40-mesh sieve, and sealed at −20 °C for further analysis [25,26].

Trial 4: A total of 24 ten-day-old and 24 thirty-eight-day-old Jing Tint 6 chicks with similar average BWs were selected. Each group was divided into 2 dietary treatment groups with 4 replicates of 3 birds. The birds were fed a basal diet and nitrogen-free diet for one week where both of the diets were supplemented with 0.5% titanium dioxide (TiO2). The birds were euthanized and dissected at 14 and 42 days of age. And then the terminal ileal digesta was collected to determine the standard ileal amino acid digestibility (SID AA).

2.2. Dynamic Model Construction

To accurately construct the dynamic models of protein and amino acid requirements in Jing Tint 6 chicks, four trials were conducted. Trial 1 involved the feeding and comparative slaughtering test of chicks, which established relationships between BW and age (t), carcass protein deposition (CPG), and feather protein deposition (FPG), respectively, which are expressed as

BW = f(t), CP = f(BW), FP = f(BW), PRc = CPG = f(t), and PRf = FPG = f(t)

where CP is carcass protein absolute quantity, FP is feather protein absolute quantity, PRc is carcass growth requirements, and PRf is feather growth requirements. The expression of the Gompertz equation is described as

BWt = A × exp[−b × exp(−k × t)] (1)

where t denotes the age, BWt is the body weight at age t, k is the average growth rate, A is the mature BW, b is the conditioning parameter, and exp is the bottom of the logarithm of Bairan. The amino acid patterns of feather and carcass proteins (AAf and AAc) were also determined in trial 1. Trial 2 was a nitrogen balance test, which determined the protein maintenance requirements (PRm) and the amino acid pattern for maintenance requirements (AAm). Trials 3 and 4 were digestion and metabolism tests, which determined net protein utilization (NPU) and the standard terminal ileal digestibility of amino acids (SID AA). Combining the parameters determined from these four trials, the total protein requirement (PR) is described as

PR = (PRm + PRc + PRf)/NPU = (c × BW0.75 + CPG + FPG)/NPU (2)

and the total amino acid requirement (AAR) is described as

AAR = (PRm × AAm)/SID AA +(PRc × AAc)/NPU + (PRf × AAf)/NPU (3)

This dynamic predictive model provides an insight into daily age-based protein and amino acid nutritional requirements for Jing Tint 6 chicks during the rearing period.

2.3. Protein, Amino Acid, and Creatinine Analyses

Crude protein in the feed, feathers, carcasses, chyme, and feces was determined with a Kjeldahl nitrogen meter [27]. Tryptophan was determined by the national standard GBT15400-2018 method; other amino acids in the feed, feathers, carcasses, digesta, and feces were determined by a fully automated amino acid analyzer [28]. Creatinine content in the feces from trial 2 was analyzed with a Sarcosine oxidase method using its specific assay kits (C011-2-1) purchased from the Nanjing Jiancheng Bioengineering Institute of China. TiO2 in feed and ileal digesta from trial 4 was measured by the spectrophotometric method [29].

2.4. Statistical Analyses

The non-linear regression method in SPSS 26.0 software was used throughout the experiment to fit the equation and to determine the optimal estimates of the parameters of the model and the function. Data were analyzed by the independent samples t-test or analysis of variance (ANOVA) in SPSS 26.0 software, and multiple comparisons were made using Duncans. Data are presented as mean ± SE, and the level of significance was set at p < 0.05.

3. Results

3.1. Fitting the Model of Growth in Jing Tint 6 Chicks by Gompertz Equation

Based on the BW data of Jing Tint 6 chicks at different ages in trial 1 (Table S3), the model of growth curves was fitted by the Gompertz equation. Notably, the multiple correlation coefficient (R2) of this model is 0.9996, indicating that the Gompertz equation can accurately predict the growth process of the layer chicks. After determining the relevant parameters of the Gompertz equation, the functional relationship between the BW and age of Jing Tint 6 chicks is described as

BWt(g) = 2669.317 × exp[−4.337 × exp(−0.019 × t)] (4)

3.2. Fitting the Model of Carcass and Feather Protein Deposition in Jing Tint 6 Chicks

Based on the corresponding body composition of Jing Tint 6 chicks at different ages in trial 1 (Table S3), four different mathematical equations were applied to fit the relationship between carcass/feather protein and BW of Jing Tint 6 chicks. As shown in Table 1, the model coefficient of Y = b0 + b1 × X + b2 × X2 (R2 = 0.999) is higher than that of other models in carcass protein, while the model coefficient of Y = b0 × exp(b1 × X) (R2 = 0.999) is higher than that of other models in feather protein. Therefore, after determining the relevant parameters, the relationship between carcass protein and BW is described as

Y = −2.85 + 0.192 × X − 5.581 × 10 − 5 × X2 (5)

and the relationship between feather protein and BW is described as

Y = 1.248 × exp(0.007 × X) (6)

Table 1.

Values of model parameters for different mathematical models fitting the relationship between carcass or feather protein and body weight in Jing Tint 6 chicks 1.

Ingredients Equation Expression Model Parameter
b0 b1 b2 R2 SE
carcass Y = b0 + b1X −1.283 0.169 0.998 0.689
Y = b0 + b1X + b2X2 −2.850 0.192 −5.581 × 10−5 0.999 0.781
Y = b0(Xb1) 0.141 1.027 0.997 0.940
Y = b0exp(b1X) 10.662 0.005 0.926 2.457
feather Y = b0 + b1X −2.568 0.053 0.895 1.752
Y = b0 + b1X + b2X2 2.312 −0.019 0.000 0.992 0.876
Y = b0(Xb1) 0.000 1.965 0.976 0.221
Y = b0exp(b1X) 1.248 0.007 0.999 0.076

1 “X” is the body weight; “Y” is the amount of carcass or feather protein.

The growth curve equations were substituted into the above-mentioned two mathematical models and each equation was differentiated separately to establish the dynamic functional relationship between weight gain, carcass protein deposition (CPG), feather protein deposition (FPG), and age of Jing Tint 6 chicks, described as

Gt(g) = 219.96 × exp(−0.019 × t − 4.337 × exp(−0.019 × t)) (7)
FPGt(g) = 1.92157 × exp(−0.019 × t + 18.6852 × exp(−4.337 × exp(−0.019 × t))) − 4.337 × exp(−0.019 × t) (8)
CPGt(g) = exp(−0.019 × t) × (42.2323 × exp(−4.337 × exp(−0.019 × t))) − 65.5368 × exp(−8.674 × exp(−0.019 × t)) (9)

where “t” is age, “Gt” is weight gain at different ages, “CPGt” is carcass protein deposition at different ages, and “FPGt” is feather protein deposition at different ages.

3.3. Amino Acid Patterns in Carcasses and Feathers of Jing Tint 6 Chicks

Except for Valine, Methionine, Lysine, and Tryptophan, there was no significant difference in the amino acid composition of the carcass at 3–6 weeks (p > 0.05). However, there were significant differences between amino acid compositions at 0–2 weeks (p < 0.05), mainly manifested in the difference between day 0 and days 7 and 14, which may be because the chicks on day 0 were affected by the remaining yolk in the body after birth [30]. There were significant differences in feathers overall (p < 0.05), which may be because the ratio of quill-coverts to contour feathers had changed with age, and different parts of the same feather had different amino acid compositions of keratin, which caused the difference [31] (Tables S4 and S5). In this experiment, the growth of laying hens was divided into two stages of 0–2 weeks and 3–6 weeks. Therefore, the amino acid composition patterns of carcasses and feathers were expressed using 0 to 2 weeks (average of 0, 7, and 14 days) and from 3 to 6 weeks (average of 21, 28, 35, and 42 days), respectively, and were described as AAc1, AAc2 and AAf1, AAf2, respectively (Table 2).

Table 2.

Amino acid composition in carcass and feather proteins (% of N × 6.25) of Jing Tint 6 chicks 1.

Amino Acid Feather Carcass
0–2 Weeks 3–6 Weeks 0–2 Weeks 3–6 Weeks
Aspartic acid 5.89 ± 0.20 5.70 ± 0.20 7.32 ± 0.20 6.08 ± 0.06
Threonine 3.47 ± 0.12 3.59 ± 0.22 4.01 ± 0.11 3.52 ± 0.07
Serine 7.64 ± 0.05 7.67 ± 0.47 4.31 ± 0.21 3.47 ± 0.05
Glutamic acid 8.63 ± 0.02 8.85 ± 0.41 12.42 ± 0.24 11.29 ± 0.15
Glycine 5.59 ± 0.18 5.25 ± 0.28 7.23 ± 0.12 6.84 ± 0.09
Alanine 4.16 ± 0.01 4.40 ± 0.56 7.63 ± 0.11 6.78 ± 0.10
Valine 5.43 ± 0.15 5.58 ± 0.37 4.17 ± 0.12 3.26 ± 0.30
Cystine 6.82 ± 0.19 7.29 ± 0.25 2.01 ± 0.12 1.87 ± 0.12
Methionine 0.84 ± 0.03 0.81 ± 0.03 2.63 ± 0.04 2.60 ± 0.04
Isoleucine 3.34 ± 0.04 3.57 ± 0.06 3.71 ± 0.09 3.46 ± 0.04
Leucine 5.60 ± 0.03 5.73 ± 0.28 6.61 ± 0.16 6.01 ± 0.12
Tyrosine 2.37 ± 0.38 2.19 ± 0.35 2.67 ± 0.10 2.14 ± 0.06
Phenylalanine 3.69 ± 0.11 3.54 ± 0.11 3.80 ± 0.08 3.36 ± 0.06
Histidine 0.93 ± 0.05 0.58 ± 0.05 2.23 ± 0.07 2.77 ± 0.08
Lysine 1.55 ± 0.15 1.62 ± 0.15 5.32 ± 0.17 4.84 ± 0.09
Arginine 5.42 ± 0.18 5.09 ± 0.37 5.42 ± 0.13 4.75 ± 0.10
Proline 8.25 ± 0.08 8.27 ± 0.41 5.65 ± 0.04 4.38 ± 0.15
Tryptophan 0.42 ± 0.09 0.27 ± 0.07 0.73 ± 0.04 0.63 ± 0.02

1 Values are means ± SE, n = 6. Means in a row with different superscripts are different, p < 0.05.

3.4. Protein and Amino Acid Maintenance Requirements of Jing Tint 6 Chicks

The results of nitrogen balance trials of Jing Tint 6 chicks are shown in Table 3. The endogenous nitrogen excretion in the second week and sixth week of feeding nitrogen-free diets was 18.03 mg/d and 34.47 mg/d, respectively. In the maintenance state, the loss of nitrogen from feathers, dander, and other skin coverings in the low-nitrogen diets was 48.89 mg/d and 68.53 mg/d, and the excretion of creatinine was 0.25 mg/d and 0.42 mg/d. Therefore, the protein maintenance requirements of Jing Tint 6 chicks during 0–2 weeks and 3–6 weeks are described as PRm = 14.58 × BW0.75 and PRm = 10.52 × BW0.75, respectively. Based on the daily endogenous nitrogen excretion, body surface nitrogen loss, amino acid and creatinine excretion, and the amino acid composition pattern of carcass and feather proteins of Jing Tint 6 chicks, the amino acid patterns were calculated during 0 to 2 weeks (Table 4) and 3 to 6 weeks (Table 5) and described as AAm1 and AAm2, respectively. The nitrogen excreted in the form of amino acids accounts for about a quarter of the endogenous nitrogen, which shows that a large number of amino acids cannot be used for protein synthesis during the protein turnover process in the body. However, they are oxidized and decomposed to be excreted in the form of urinary nitrogen.

Table 3.

Results of nitrogen balance trials in Jing Tint 6 chicks 1.

Item Week 2–3 Week 5–6
Low-Nitrogen Group Non-Nitrogen Group Low-Nitrogen Group Non-NitrogenGroup
Initial body weight, g 105.48 ± 4.91 102.54 ± 7.38 377.08 ± 4.38 377.92 ± 3.80
Final body weight, g 70.14 ± 5.17 83.55 ± 8.34 305.13 ± 6.56 284.83 ± 8.88
Feed intake, g/day 7.96 ± 0.22 5.24 ± 0.39 17.7 ± 2.10 11.30 ± 1.50
N intake, mg/day 75.22 ± 0.002 5.16 ± 0.0004 166.82 ± 0.019 11.12 ± 0.002
N excretion, mg/day 26.33 ± 0.007 18.03 ± 0.002 98.28 ± 0.011 34.47 ± 0.004
N retention, mg/day 48.89 ± 0.007 68.53 ± 0.03
Creatinine excretion, mg/day 0.25 ± 0.04 0.42 ± 0.12
Parameter “c” 14.58 10.52

1 Values are means ± SE, n = 4.

Table 4.

Amino acid partition, pattern, and requirements for maintenance in Jing Tint 6 chicks during weeks 0–2 1.

Item Endogenous Amino Acid Excretion Loss of Feather Dander (mg/d) Total Losses (mg/d) Amino Acid Maintenance Mode (%)
Amino Acid Pattern (mg/d) Non-Amino Acid Pattern (mg/d) Creatinine Pattern (mg/d)
Nitrogen 4.38 ± 1.12 13.56 ± 1.22 0.093 ± 0.02 48.89 ± 0.01 66.92
Aspartic acid 2.71 ± 0.62 6.20 ± 0.51 18.00 ± 2.86 26.91 6.43
Threonine 1.61 ± 0.42 3.40 ± 0.28 10.60 ± 1.68 15.61 3.73
Serine 2.13 ± 0.74 3.65 ± 0.29 23.35 ± 3.70 29.13 6.96
Glutamic acid 4.62 ± 1.20 10.52 ± 0.87 26.37 ± 4.18 41.51 9.93
Glycine 2.54 ± 0.71 6.13 ± 0.51 0.17 ± 0.03 17.08 ± 2.71 25.92 6.20
Alanine 2.19 ± 0.71 6.47 ± 0.53 12.71 ± 2.02 21.36 5.11
Valine 1.69 ± 0.47 3.53 ± 0.29 16.59 ± 2.63 21.81 5.22
Cystine 2.54 ± 0.57 1.70 ± 0.14 20.84 ± 3.31 25.08 6.00
Methionine 0.88 ± 0.30 2.23 ± 0.18 0.33 ± 0.06 2.57 ± 0.41 6.00 1.44
Isoleucine 1.22 ± 0.39 3.14 ± 0.26 10.21 ± 1.62 14.57 3.48
Leucine 2.10 ± 0.75 5.60 ± 0.46 17.11 ± 2.72 24.81 5.93
Tyrosine 0.55 ± 0.18 2.26 ± 0.19 7.24 ± 1.15 10.05 2.40
Phenylalanine 1.50 ± 0.36 3.22 ± 0.27 11.28 ± 1.79 16.00 3.83
Histidine 0.73 ± 0.13 1.89 ± 0.16 2.84 ± 0.45 5.46 1.31
Lysine 1.24 ± 0.10 4.51 ± 0.37 4.74 ± 0.75 10.48 2.51
Arginine 1.49 ± 0.44 4.59 ± 0.38 0.39 ± 0.07 16.56 ± 2.63 23.04 5.51
Proline 2.23 ± 0.75 4.79 ± 0.39 25.21 ± 4.00 32.22 7.70
Tryptophan 0.36 ± 0.04 0.62 ± 0.05 1.28 ± 0.20 2.26 0.54

1 Values are means ± SE, n = 4.

Table 5.

Amino acid partition, pattern, and requirements for maintenance of Jing Tint 6 chicks during weeks 3–6 1.

Item Endogenous Amino Acid Excretion Loss of Feather Dander (mg/d) Total Losses (mg/d) Amino Acid Maintenance Mode (%)
Amino Acid Pattern (mg/d) Non-Amino Acid Pattern (mg/d) Creatinine Pattern (mg/d)
Nitrogen 8.64 ± 1.34 25.67 ± 2.06 0.16 ± 0.04 68.53 ± 0.03 103.00
Aspartic acid 6.56 ± 0.71 9.75 ± 0.88 24.42 ± 1.95 40.73 6.33
Threonine 3.66 ± 0.35 5.65 ± 0.51 15.38 ± 1.23 24.69 3.84
Serine 4.05 ± 0.33 5.57 ± 0.50 32.85 ± 2.62 42.47 6.60
Glutamic acid 9.22 ± 1.13 18.11 ± 1.64 37.91 ± 3.03 65.24 10.13
Glycine 4.63 ± 0.59 10.97 ± 0.99 0.28 ± 0.08 22.49 ± 1.80 38.37 5.96
Alanine 5.60 ± 0.69 10.88 ± 0.98 18.85 ± 1.51 35.32 5.49
Valine 4.18 ± 0.43 5.23 ± 0.47 23.90 ± 1.91 33.31 5.17
Cystine 4.81 ± 0.23 3.00 ± 0.27 31.23 ± 2.49 39.03 6.06
Methionine 1.62 ± 0.29 4.17 ± 0.38 0.56 ± 0.16 3.64 ± 0.25 9.82 1.53
Isoleucine 2.90 ± 0.39 5.55 ± 0.50 15.29 ± 1.22 23.75 3.69
Leucine 4.38 ± 052 9.64 ± 0.87 24.54 ± 1.96 38.56 5.99
Tyrosine 1.46 ± 0.19 3.43 ± 0.31 9.38 ± 0.75 14.28 2.22
Phenylalanine 3.37 ± 0.22 5.39 ± 0.49 15.16 ± 1.21 23.93 3.72
Histidine 0.84 ± 0.08 4.44 ± 0.40 2.48 ± 0.20 7.77 1.21
Lysine 2.71 ± 0.22 7.76 ± 0.70 6.94 ± 0.55 17.41 2.70
Arginine 2.51 ± 0.19 7.62 ± 0.69 0.66 ± 0.19 22.46 ± 1.74 32.59 5.06
Proline 5.91 ± 0.80 7.03 ± 0.63 35.42 ± 2.83 48.36 7.51
Tryptophan 0.70 ± 0.09 1.01 ± 0.09 1.16 ± 0.09 2.86 0.44

1 Values are means ± SE, n = 4.

3.5. Net Protein Utilization and Standard Ileal Terminal Digestibility of Amino Acids at Different Growth Stages

As shown in Table 6, the net protein utilization of Jing Tint 6 chicks at 14 and 42 days of age was 76.13% and 78.99%, respectively. The net protein utilization rate was slightly lower in the early stage than in the late stage, which might be due to the imperfect organ development in the early life stages of Jing Tint 6 chicks. As shown in Table 7, the standard terminal ileal digestibility of amino acids was relatively stable, indicating that Jing Tint 6 chicks had better digestion and absorption of amino acids; it was described as SIDAA1 and SIDAA2 at the second and sixth weeks, respectively.

Table 6.

Results of a nitrogen balance trial of layer chicks consuming a protein-containing diet 1.

Item Week 2 Week 6
Standard Diet Group 1 Non-Nitrogen Diet Group 1 Standard Diet Group 2 Non-Nitrogen Diet Group 2
Initial body weight, g 100.80 ± 2.91 99.78 ± 2.36 275.85 ± 3.10 273.82 ± 5.14
Feed intake, g/day 11.57 ± 0.76 5.82 ± 0.31 19.33 ± 0.84 9.96 ± 0.42
Feces and urine excretion, g/day 2.38 ± 0.17 0.21 ± 0.01 3.98 ± 0.10 0.44 ± 0.03
Protein intake, g/day 2.22 ± 0.15 - 3.74 ± 0.16 -
Protein excretion, g/day 0.60 ± 0.06 0.065 ± 0.01 0.96 ± 0.05 0.17 ± 0.02
Net protein availability, % 76.13 ± 1.99 78.99 ± 0.70

1 Values are means ± SE, n = 4.

Table 7.

Standard ileal amino acid digestibility of Jing Tint 6 chicks at day 14 and 42 1.

Amino Acid 14 Days Old 42 Days Old
Aspartic acid 85.91 ± 1.70 87.22 ± 0.86
Threonine 80.56 ± 2.11 81.62 ± 2.20
Serine 84.18 ± 2.34 86.12 ± 2.50
Glutamic acid 89.08 ± 1.76 90.60 ± 1.47
Glycine 76.66 ± 2.45 78.61 ± 1.97
Alanine 81.69 ± 2.52 81.54 ± 2.57
Valine 78.45 ± 2.68 81.07 ± 3.40
Cystine 87.96 ± 1.78 87.85 ± 3.27
Methionine 85.43 ± 3.48 85.25 ± 2.67
Isoleucine 83.05 ± 2.29 83.44 ± 2.25
Leucine 84.90 ± 2.40 87.33 ± 2.45
Tyrosine 72.35 ± 3.66 73.54 ± 2.77
Phenylalanine 86.02 ± 1.61 83.96 ± 2.60
Histidine 83.29 ± 2.61 79.75 ± 2.94
Lysine 72.96 ± 4.90 81.09 ± 2.48
Arginine 86.73 ± 3.06 87.80 ± 2.08
Proline 87.92 ± 2.98 90.74 ± 1.57
Tryptophan 87.26 ± 0.45 77.88 ± 2.30

1 Values are means ± SE, n = 4.

3.6. Dynamic Model of Protein and Amino Acid Requirements

The test divided the protein and amino acid requirements into two parts, growth requirements and maintenance requirements. The protein requirements of Jing Tint 6 chicks during 0–2 weeks and 3–6 weeks were expressed as PR1 and PR2, respectively, and the amino acid requirements were referred to as AAR1 and AAR2, respectively. Overall, the total equations for protein and amino acid requirements of Jing Tint 6 chicks are described as

PR1 = PRm1 + PRc1 + PRf1 = ((exp(−0.019 × t) × (42.2323 × exp(−4.337 × exp(−0.019 × t))) − 65.5368 × exp(−8.674 × exp(−0.019 × t)) + 1.92157 × exp((−0.019 × t + 18.6852 × exp(−4.337 × exp(−0.019 × t))) − 4.337 × exp(−0.019 × t)) + 5.4145 × (exp(−4.337 × exp(−0.019 × t)))0.75)/76.13% (10)
PR2 = PRm2 + PRc2 + PRf2 = ((exp(−0.019 × t) × (42.2323 × exp(−4.337 × exp(−0.019 × t))) − 65.5368 × exp(−8.674 × exp(−0.019 × t)) + 1.92157 × exp((−0.019 × t + 18.6852 × exp(−4.337 × exp(−0.019 × t))) − 4.337 × exp(−0.019 × t)) + 3.9068 × (exp(−4.337 × exp(−0.019 × t)))0.75)/78.99% (11)
AAR1 = PRm1 × AAm1 + PRc1 × AAc1 + PRf1 × AAf1 = 5.4145 × (exp(−4.337 × exp(−0.019 × t)))0.75 × AAm1/83.49% + 1.92157 × exp((−0.019 × t + 18.6852 × exp(−4.337 × exp(−0.019 × t))) − 4.337 × exp(−0.019 × t)) × AAc1/76.13% + (exp(−0.019 × t) × (42.2323 × exp(−4.337 × exp(−0.019 × t))) − 65.5368 × exp(−8.674 × exp(−0.019 × t)) × AAf1/76.13% (12)
AAR2 = PRm2 × AAm2 + PRc2 × AAc2 + PRf2 × AAf2 = 3.9068 × (exp(−4.337exp(−0.019 × t)))0.75 × AAm2/83.17% + 1.92157 × exp((−0.019 × t + 18.6852 × exp(−4.337 × exp(−0.019 × t))) − 4.337 × exp(−0.019 × t)) × AAc2/78.99% + (exp(−0.019 × t) × (42.2323 × exp(−4.337 × exp(−0.019 × t))) − 65.5368 × exp(−8.674 × exp(−0.019 × t))) × AAf2/78.99% (13)

The equations were run through the R language to obtain the protein and amino acid requirements of Jing Tint 6 chicks (Table 8). The comparison of the protein and amino acid nutritional requirements of the tested Jing Tint 6 chicks with the feeding standard of Jing Tint 6 chicks showed that the protein requirements generally show a correlation with weekly age, and the protein requirements for the growth of Jing Tint 6 chicks gradually decrease with increasing weekly age as the protein requirements in weeks 1 and 2 were higher than the standard, while the protein requirements of 3, 4, 5, and 6 weeks were lower than the standard. It is also shown that amino acid requirements were all below standard requirements as Threonine requirements were close to standard values and gradually decreasing, while Methionine and Lysine requirements were close to half of the standard values.

Table 8.

Ratio of protein and amino acids to feed (%) predicted by the model.

Item Week 1 Week 2 Week 3 Week 4 Week 5 Week 6
Protein 21.15 20.54 18.26 18.77 17.79 16.51
Aspartic acid 1.284 1.251 1.103 1.111 1.059 0.992
Threonine 0.750 0.730 0.684 0.686 0.650 0.601
Serine 1.542 1.489 1.333 1.301 1.171 0.984
Glutamic acid 1.925 1.880 1.755 1.782 1.726 1.661
Glycine 1.227 1.196 1.041 1.059 1.028 0.992
Alanine 0.961 0.943 0.909 0.933 0.921 0.912
Valine 1.121 1.086 0.996 0.980 0.894 0.773
Cystine 1.347 1.296 1.235 1.193 1.050 0.843
Methionine 0.226 0.225 0.210 0.226 0.241 0.267
Isoleucine 0.715 0.695 0.675 0.676 0.639 0.590
Leucine 1.208 1.176 1.093 1.099 1.046 0.977
Tyrosine 0.504 0.490 0.412 0.413 0.391 0.362
Phenylalanine 0.786 0.764 0.670 0.671 0.634 0.584
Histidine 0.229 0.226 0.169 0.189 0.212 0.250
Lysine 0.414 0.412 0.399 0.429 0.455 0.500
Arginine 1.147 1.114 0.951 0.951 0.896 0.824
Proline 1.684 1.629 1.463 1.435 1.302 1.114
Tryptophan 0.098 0.096 0.063 0.067 0.069 0.072

4. Discussion

Under the traditional feeding mode, producers tend to supplement animals with nutrients beyond their requirements to ensure optimal growth performance, resulting in wasting feed resources, higher production costs, and increasing environmental pollution [32,33]. In this study, we established a dynamic protein and amino acid nutrient requirement model for layer chicks at different growth stages, providing them with the appropriate nutrients to meet their growth and production needs. Consequently, this contributed to more scientifically and rationally formulated feed and reduced resource wastage in poultry production. The protein requirements of Jing Tint 6 chicks from 0 to 6 weeks were calculated by modeling as 21.15, 20.54, 18.26, 18.77, 17.79, and 16.51, respectively. The comparison with the feeding standard of “Jing Tint 6” revealed higher model-predicted protein requirements from 0 to 2 weeks. This discrepancy may be attributed to the rapid growth and development of the layer chicks and their robust metabolism. However, in the early stage, their digestive system is not fully developed, and they have a small stomach volume with poor muscular stomach grinding ability. Consequently, they exhibit higher nutritional requirements and necessitate the consumption of high-quality protein feeds [34]. Previous research showed that chicks achieved optimal body weight when fed a 22% protein diet [35]. The protein requirements of chicks gradually declined from 3 to 6 weeks, which is a period characterized by more stable carcass growth and an increased proportion of feather growth.

Jing Tint 6 chicks require ten essential amino acids including Methionine, Lysine, Threonine, Isoleucine, Leucine, Valine, Tryptophan, Arginine, Histidine, and Phenylalanine. Among these, Lysine, Methionine, and Threonine are identified as the three most limited amino acids for Jing Tint 6 chicks [36]. Notably, the recommended content of Threonine, Methionine, and Lysine in the feeding standard for “Jing Tint 6” is 0.73–0.75%, 0.45–0.46%, and 1.00–1.10%, respectively. In this study, the Threonine, Methionine, and Lysine requirements for Jing Tint 6 chicks from 0 to 6 weeks were calculated as 0.601–0.75%, 0.210–0.267%, and 0.399–0.500%, respectively. The calculated Threonine requirement value was consistent with the feeding standard of “Jing Tint 6” and a previous study [37]. In comparison, NRC (1994) suggested that the Methionine value was 0.28% (0–6 weeks of age). Notably, the model-predicted Methionine value closely matched the NRC (1994) results and was lower than the feeding standards and other studies [38,39]. The model-predicted Lysine requirement value was below the NRC (1972)-recommended value of 0.80% for Lysine (0–6 weeks of age) and the Practical Poultry Nutrition for Canada-recommended value of 1.10% for Lysine (0–5 weeks of age) [40]. Lysine requirements predicted by the model were lower than all the aforementioned criteria and the results reported in other studies [41,42]. The variation in results may have arisen from substantial differences among various breeds of Jing Tint 6 chicks in terms of body weight, daily weight gain, and production performance. These disparities contribute to variations in the requirements and proportions of certain amino acids used for maintenance and weight gain [43]. Slower-growing breeds generally exhibit lower demand for amino acids, resulting in reduced requirements for protein and Methionine [44].

The model-predicted requirements for Tryptophan fell within the range of the lowest and highest recommended levels from other studies [45,46]. Valine is slightly higher than the results of previous studies [47]. Lelis et al. suggested that increasing the digestible Valine in the diet can linearly enhance the feed intake of Jing Tint 6 chicks, justifying a moderate increase in Valine [48]. Arginine is a precursor to protein, creatine, Proline, polyamines, and nitric oxide, and it can help improve production performance and immunity in Jing Tint 6 chicks [49]; the model-predicted requirements for Arginine were slightly higher than the results from previous studies but remained within an acceptable range without causing adverse effects [50]. Isoleucine levels below 4.0 g/kg [51] and above 8.1 g/kg [52] were detrimental to Jing Tint 6 chicks’ feed intake, but the model predicted Isoleucine requirements to fall between these limits.

In general, the model predictions generally align with previous studies. Any discrepancies may arise from the dynamic changes in protein increase and chemical composition within poultry during the growth process, thereby influencing the model’s assessment of amino acid nutritional requirements. Additionally, the variation in the growth rates of different layer hen breeds contributes to distinct protein and amino acid requirements reflecting breed-specific characteristics. To validate the accuracy of the model, further experiments will be conducted.

5. Conclusions

In this study, a dynamic prediction model of protein and amino acid requirements of Jing Tint 6 chicks during the brooding period was established. The weekly protein and amino acid requirements could be accurately calculated through this model, which contributed to the precise preparation of feed for layer chicks, thereby promoting the efficient production of layer hens. This model also provided an important reference for assessing the nutritional requirements of other animals, which will help improve production efficiency throughout the animal industry.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ani14050764/s1, Table S1: Composition and nutritional values of the basal diet; Table S2: Composition and nutritional values of the nitrogen-free diet and low-nitrogen diet; Table S3: Live weight and corresponding body composition of Jing Tint 6 chicks at different days of age; Table S4: Amino acid pattern of protein (% of protein) in de-feathered carcasses of Jing Tint 6 chicks; Table S5: Amino acid pattern of protein (% of protein) in feather of Jing Tint 6 chicks.

Author Contributions

L.-H.S. and Z.-C.D. designed this research; M.L., Z.-Y.X., H.-L.L., Y.-X.H. A.R. and Z.-C.D. conducted the experiments and statistical analyses; M.L. writing—original draft preparation; A.R., Z.-C.D. and L.-H.S. writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

The animal study protocol was approved by the Ethics Committee of Huazhong Agricultural University (HZAUCH-2024-0006).

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This work was supported by the National Key Research and Development Program of China, Project (2021YFD1300405) and fundamental research funds for the Central Universities (2662023DKPY002).

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

References

  • 1.Caldas J.V., Boonsinchai N., Wang J.R., England J.A., Coon C.N. The dynamics of body composition and body energy content in broilers. Poult. Sci. 2019;98:866–877. doi: 10.3382/ps/pey422. [DOI] [PubMed] [Google Scholar]
  • 2.Yang J.C., Huang Y.X., Sun H., Liu M., Zhao L., Sun L.H. Selenium Deficiency Dysregulates One-Carbon Metabolism in Nutritional Muscular Dystrophy of Chicks. J. Nutr. 2023;153:47–55. doi: 10.1016/j.tjnut.2022.12.001. [DOI] [PubMed] [Google Scholar]
  • 3.Li G., Feng Y., Cui J., Hou Q., Li T., Jia M., Lv Z., Jiang Q., Wang Y., Zhang M., et al. The ionome and proteome landscape of aging in laying hens and relation to egg white quality. Sci. China Life Sci. 2023;66:2020–2040. doi: 10.1007/s11427-023-2413-4. [DOI] [PubMed] [Google Scholar]
  • 4.Tian Y.D. Ph.D. Thesis. Chinese Academy of Agricultural Sciences; Beijing, China: 2005. Dynamie Model Construction of Energy and Amino Acid Requirements for Broilers. [Google Scholar]
  • 5.Abdallah A., Elemba E., Zhong Q.Z., Sun Z.W. Gastrointestinal Interaction between Dietary Amino Acids and Gut Microbiota: With Special Emphasis on Host Nutrition. Curr. Protein Pept. Sci. 2020;21:785–798. doi: 10.2174/1389203721666200212095503. [DOI] [PubMed] [Google Scholar]
  • 6.Fan L., Xia Y., Wang Y., Han D., Liu Y., Li J., Fu J., Wang L., Gan Z., Liu B., et al. Gut microbiota bridges dietary nutrients and host immunity. Sci. China Life Sci. 2023;66:2466–2514. doi: 10.1007/s11427-023-2346-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bregendahl K., Sell J.L., Zimmerman D.R. Effect of low-protein diets on growth performance and body composition of broiler chicks. Poult. Sci. 2002;81:1156–1167. doi: 10.1093/ps/81.8.1156. [DOI] [PubMed] [Google Scholar]
  • 8.Gompertz B. On the Nature of the Function Expressive of the Law of Human Mortality, and on a New Mode of Determining the Value of Life Contingencies. Proc. R. Soc. Lond. 1815;2:252–253. [Google Scholar]
  • 9.Pearl R. The biology of population growth. Z. Induk. Abstamm. Vererb. 1929;49:336–338. doi: 10.1007/BF01847581. [DOI] [Google Scholar]
  • 10.Bridges T.C., Turner L.W., Stahly T.S., Usry J.L., Loewer O.J. Modeling the Physiological Growth of Swine Part I: Model Logic and Growth Concepts. Trans. ASAE. 1992;35:1019–1028. doi: 10.13031/2013.28696. [DOI] [Google Scholar]
  • 11.Kavanagh R.A.J. The Analysis of the Relative Growth Gradients and Changing Form of Growing Organisms: Illustrated by the Tobacco Leaf. Am. Nat. 1943;77:385–399. [Google Scholar]
  • 12.Yang Z.G. Ph.D. Thesis. Chinese Academy of Agricultural Sciences; Beijing, China: 2010. The Study on Simulation Model of Amino Acid Requirements for Broilers. [Google Scholar]
  • 13.Nguyen Hoang T., Do H.T.T., Bui D.H., Pham D.K., Hoang T.A., Do D.N. Evaluation of non-linear growth curve models in the Vietnamese indigenous Mia chicken. Anim. Sci. J. 2021;92:e13483. doi: 10.1111/asj.13483. [DOI] [PubMed] [Google Scholar]
  • 14.van der Klein S.A.S., Kwakkel R.P., Ducro B.J., Zuidhof M.J. Multiphasic nonlinear mixed growth models for laying hens. Poult. Sci. 2020;99:5615–5624. doi: 10.1016/j.psj.2020.08.054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zhu H.L., Deng X.J., Hu Z.Z., Chen L.Y., Jiang W.J., Xia L.Z. Amino acid requirements of Wanxi white goose studied from 9 to 12 weeks of age based on Factorial Method. China Anim. Husb. Vet. Med. 2021;48:135–143. doi: 10.16431/j.cnki.1671-7236.2021.01.015. [DOI] [Google Scholar]
  • 16.Sakomura N.K., Silva E.P., Dorigam J.C.P., Gous R.M., St-Pierre N. Modeling amino acid requirements of poultry. J. Appl. Poult. Res. 2015;24:267–282. doi: 10.3382/japr/pfv024. [DOI] [Google Scholar]
  • 17.Hurwitz S., Frisch Y., Bar A., Eisner U., Bengal I., Pines M. The amino acid requirements of growing turkeys: 1. Model construction and parameter estimation. Poult. Sci. 1983;62:2208–2217. doi: 10.3382/ps.0622208. [DOI] [PubMed] [Google Scholar]
  • 18.Hurwitz S., Bornstein S. The protein and amino acid requirements of laying hens: Suggested models for calculation. Poult. Sci. 1973;52:1124–1134. doi: 10.3382/ps.0521124. [DOI] [PubMed] [Google Scholar]
  • 19.Hurwitz S., Plavnik I., Bartov I., Bornstein S. The amino acid requirements of chicks: Experimental validation of model-calculated requirements. Poult. Sci. 1980;59:2470–2479. doi: 10.3382/ps.0592470. [DOI] [PubMed] [Google Scholar]
  • 20.Hurwitz S., Plavnik I., Bengal I., Talpaz H., Bartov I. The amino acid requirements of growing turkeys: 2. Experimental validation of model-calculated requirements for sulfur amino acids and lysine. Poult. Sci. 1983;62:2387–2393. doi: 10.3382/ps.0622387. [DOI] [PubMed] [Google Scholar]
  • 21.Hewitt D., Lewis D. The amino acid requirements of the growing chick. I. Determination of amino acid requirements. Br. Poult. Sci. 1972;13:449–463. doi: 10.1080/00071667208415973. [DOI] [PubMed] [Google Scholar]
  • 22.Zhao L., Liu M., Sun H., Yang J.C., Huang Y.X., Huang J.Q., Lei X., Sun L.H. Selenium deficiency-induced multiple tissue damage with dysregulation of immune and redox homeostasis in broiler chicks under heat stress. Sci. China Life Sci. 2023;66:2056–2069. doi: 10.1007/s11427-022-2226-1. [DOI] [PubMed] [Google Scholar]
  • 23.Zhao L., Chu X.H., Liu S., Li R., Zhu Y.F., Li F.N., Jiang J., Zhou J.C., Lei X.G., Sun L.H. Selenium-Enriched Cardamine violifolia Increases Selenium and Decreases Cholesterol Concentrations in Liver and Pectoral Muscle of Broilers. J. Nutr. 2022;152:2072–2079. doi: 10.1093/jn/nxac141. [DOI] [PubMed] [Google Scholar]
  • 24.Cao N.K., Chen B.J. Review on basic nitrogen metabolism and preparation nitrogen-free diets in livestock. China Feed. 2018;15:16–18. doi: 10.15906/j.cnki.cn11-2975/s.20181503. [DOI] [Google Scholar]
  • 25.Huang W., Ma T., Liu Y., Kwok L.Y., Li Y., Jin H., Zhao F., Shen X., Shi X., Sun Z., et al. Spraying compound probiotics improves growth performance and immunity and modulates gut microbiota and blood metabolites of suckling piglets. Sci. China Life Sci. 2023;66:1092–1107. doi: 10.1007/s11427-022-2229-1. [DOI] [PubMed] [Google Scholar]
  • 26.Deng Z.-C., Wang J., Wang J., Yan Y.-Q., Huang Y.-X., Chen C.-Q., Sun L.-H., Liu M. Tannic acid extracted from gallnut improves intestinal health with regulation of redox homeostasis and gut microbiota of weaned piglets. Anim. Res. One Health. 2024;2:16–27. doi: 10.1002/aro2.51. [DOI] [Google Scholar]
  • 27.Zhao M., Feng Y., Shi Y., Shen H., Hu H., Luo Y., Xu L., Kang J., Xing A., Wang S., et al. Yield and quality properties of silage maize and their influencing factors in China. Sci. China Life Sci. 2022;65:1655–1666. doi: 10.1007/s11427-020-2023-3. [DOI] [PubMed] [Google Scholar]
  • 28.Duan Y., Zheng C., Zheng J., Ma L., Ma X., Zhong Y., Zhao X., Li F., Guo Q., Yin Y. Profiles of muscular amino acids, fatty acids, and metabolites in Shaziling pigs of different ages and relation to meat quality. Sci. China Life Sci. 2023;66:1323–1339. doi: 10.1007/s11427-022-2227-6. [DOI] [PubMed] [Google Scholar]
  • 29.Deng X.J., Liu G.H., Cai H.Y., Wang Y.W., Wang F.H. Determination of titanium dioxide in poultry feed and surimi by spectrophotometry. Feed Ind. 2008;29:57–58. [Google Scholar]
  • 30.Wang H.M., Huo Q.G., Li S.B., Yu H.Q., Wang J.X., Yang S.H., Lin J.H., Feng S.M., Yin R.M. Nutrient and maintenance requirements of yolk sac of broiler chicks under hunger strike conditions. Chin. J. Anim. Vet. Sci. 1994;1:13–19. [Google Scholar]
  • 31.Fisher M.L., Leeson S., Morrison W.D. feather growth and feather composition of broiler chickens. Can. J. Anim. Sci. 1981;61:769–773. doi: 10.4141/cjas81-093. [DOI] [Google Scholar]
  • 32.Hauschild L., Pomar C., Lovatto P.A. Systematic comparison of the empirical and factorial methods used to estimate the nutrient requirements of growing pigs. Animal. 2010;4:714–723. doi: 10.1017/S1751731109991546. [DOI] [PubMed] [Google Scholar]
  • 33.Yan Y.Q., Liu M., Xu Z.J., Xu Z.J., Huang Y.X., Li X.M., Chen C.J., Zuo G., Yang J.C., Lei X.G., et al. Optimum Doses and Forms of Selenium Maintaining Reproductive Health via Regulating Homeostasis of Gut Microbiota and Testicular Redox, Inflammation, Cell Proliferation, and Apoptosis in Roosters. J. Nutr. 2024;154:369–380. doi: 10.1016/j.tjnut.2023.12.021. [DOI] [PubMed] [Google Scholar]
  • 34.Zhang X., Li W., Wang G., Zhang X., Wang Z., Chu L., Wang Y., Chang B. Effect of feed shape on the growth, gastrointestinal development and performance of Jing Brown. China Feed. 2021;13:3–42. doi: 10.15906/j.cnki.cn11-2975/s.20211308. [DOI] [Google Scholar]
  • 35.Andrews T.L., Harms R.H., Wilson H.R. Protein requirement of the Bobwhite chick. Poult. Sci. 1973;52:2199–2201. doi: 10.3382/ps.0522199. [DOI] [PubMed] [Google Scholar]
  • 36.Macelline S.P., Toghyani M., Chrystal P.V., Selle P.H., Liu S.Y. Amino acid requirements for laying hens: A comprehensive. Poult. Sci. 2021;100:101036. doi: 10.1016/j.psj.2021.101036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Azzam M.M., Alhotan R., Al-Abdullatif A., Al-Mufarrej S., Mabkhot M., Alhidary I.A., Zheng C.T. Threonine Requirements in Dietary Low Crude Protein for Laying Hens under High-Temperature Environmental Climate. Animals. 2019;9:586. doi: 10.3390/ani9090586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Cupertino E.S., Gomes P.C., Rostagno H.S., Donzele J.L., Schmidt M., Mello H.H.D. Nutritional requirement of methionine plus cistine digestibles for laying hens during a period of 54 to 70 weeks of age. Rev. Bras. Zootec. 2009;38:1238–1246. doi: 10.1590/S1516-35982009000700012. [DOI] [Google Scholar]
  • 39.Saki A.A., Harsini R.N., Tabatabaei M.M., Zamani P., Haghight M. Estimates of Methionine and Sulfur Amino Acid Requirements for Laying Hens using Different Models. Br. J. Poult. Sci. 2012;14:209–216. doi: 10.1590/S1516-635X2012000300008. [DOI] [Google Scholar]
  • 40.Wu S.G. Laying Hens Feed Preparation Processing and Formula Picks. China Agricultural Science and Technology Press; Beijing, China: 2013. pp. 134–145. [Google Scholar]
  • 41.Bregendahl K., Roberts S.A., Kerr B., Hoehler D. Ideal ratios of isoleucine, methionine, methionine plus cystine, threonine, tryptophan, and valine relative to lysine for white leghorn-type laying hens of twenty-eight to thirty-four weeks of age. Poult. Sci. 2008;87:744–758. doi: 10.3382/ps.2007-00412. [DOI] [PubMed] [Google Scholar]
  • 42.Schutte J.B., Smink W. Requirement of the laying hen for apparent fecal digestible lysine. Poult. Sci. 1998;77:697–701. doi: 10.1093/ps/77.5.697. [DOI] [PubMed] [Google Scholar]
  • 43.Ren W., Yu B., Yu J., Zheng P., Huang Z., Luo J., Mao X., He J., Yan H., Wu J., et al. Lower abundance of Bacteroides and metabolic dysfunction are highly associated with the post-weaning diarrhea in piglets. Sci. China Life Sci. 2022;65:2062–2075. doi: 10.1007/s11427-021-2068-6. [DOI] [PubMed] [Google Scholar]
  • 44.Guo Y.M. Poultry Nutrition. China Agricultural University Press; Beijing, China: 2016. pp. 55–336. [Google Scholar]
  • 45.Khattak F., Helmbrecht A. Effect of different levels of tryptophan on productive performance, egg quality, blood biochemistry, and caecal microbiota of hens housed in enriched colony cages under commercial stocking density. Poult. Sci. 2019;98:2094–2104. doi: 10.3382/ps/pey562. [DOI] [PubMed] [Google Scholar]
  • 46.Mousavi S.N., Afsar A., Khalaji S., Abbasi M. Estimation of digestible tryptophan:lysine ratios for maximum performance, egg quality and welfare of white-egg-laying hens by fitting the different non-linear models. J. Appl. Anim. Res. 2018;46:411–416. doi: 10.1080/09712119.2017.1316278. [DOI] [Google Scholar]
  • 47.Azzam M.M.M., Dong X.Y., Dai L., Zou X.T. Effect of excess dietary L-valine on laying hen performance, egg quality, serum free amino acids, immune function and antioxidant enzyme activity. Br. Poult. Sci. 2015;56:72–78. doi: 10.1080/00071668.2014.989487. [DOI] [PubMed] [Google Scholar]
  • 48.Lelis G.R., Albino L.F.T., Tavernari F.C., Calderano A.A., Rostagno H.S., Barros V.R.S.M., Maia R.C. Digestible valine-to-digestible lysine ratios in brown commercial layer diets. J. Appl. Poult. Res. 2014;23:683–690. doi: 10.3382/japr.2014-00984. [DOI] [Google Scholar]
  • 49.Lieboldt M.A., Halle I., Frahm J., Schrader L., Weigend S., Preisinger R., Breves G., Dänicke S. Effects of Graded Dietary L-arginine Supply on Organ Growth in Four Genetically Diverse Layer Lines during Rearing Period. J. Poult. Sci. 2016;53:136–148. doi: 10.2141/jpsa.0150131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Yuan C., Li J.M., Ding Y., He Q., Yan H.X., Lu J.J., Zou X.T. Estimation of L-arginine requirement for Xinyang Black laying hens from 33 to 45 weeks of age. J. Appl. Poult. Res. 2015;24:463–469. doi: 10.3382/japr/pfv049. [DOI] [Google Scholar]
  • 51.Shivazad M., Harms R.H., Russell G.B., Faria D.E., Antar R.S. Re-evaluation of the isoleucine requirement of the commercial layer. Poult. Sci. 2002;81:1869–1872. doi: 10.1093/ps/81.12.1869. [DOI] [PubMed] [Google Scholar]
  • 52.Peganova S., Eder K. Studies on requirement and excess of isoleucine in laying hens. Poult. Sci. 2002;81:1714–1721. doi: 10.1093/ps/81.11.1714. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material.


Articles from Animals : an Open Access Journal from MDPI are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES