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PLOS ONE logoLink to PLOS ONE
. 2017 Oct 20;12(10):e0185480. doi: 10.1371/journal.pone.0185480

The influence of the selection of macronutrients coupled with dietary energy density on the performance of broiler chickens

Sonia Y Liu 1,2,*, Peter V Chrystal 3, Aaron J Cowieson 1,4, Ha H Truong 1,5, Amy F Moss 1, Peter H Selle 1
Editor: François Blachier6
PMCID: PMC5650139  PMID: 29053729

Abstract

A total of 360 male Ross 308 broiler chickens were used in a feeding study to assess the influence of macronutrients and energy density on feed intakes from 10 to 31 days post-hatch. The study comprised ten dietary treatments from five dietary combinations and two feeding approaches: sequential and choice feeding. The study included eight experimental diets and each dietary combination was made from three experimental diets. Choice fed birds selected between three diets in separate feed trays at the same time; whereas the three diets were offered to sequentially fed birds on an alternate basis during the experimental period. There were no differences between starch and protein intakes between choice and sequentially fed birds (P > 0.05) when broiler chickens selected between diets with different starch, protein and lipid concentrations. When broiler chickens selected between diets with different starch and protein but similar lipid concentrations, both sequentially and choice fed birds selected similar ratios of starch and protein intake (P > 0.05). However, when broiler chickens selected from diets with different protein and lipid but similar starch concentrations, choice fed birds had higher lipid intake (129 versus 118 g/bird, P = 0.027) and selected diets with lower protein concentrations (258 versus 281 g/kg, P = 0.042) than birds offered sequential diet options. Choice fed birds had greater intakes of the high energy diet (1471 g/bird, P < 0.0001) than low energy (197 g/bird) or medium energy diets (663 g/bird) whilst broiler chickens were offered diets with different energy densities but high crude protein (300 g/kg) or digestible lysine (17.5 g/kg) concentrations. Choice fed birds had lower FCR (1.217 versus 1.327 g/g, P < 0.0001) and higher carcass yield (88.1 versus 87.3%, P = 0.012) than sequentially fed birds. This suggests that the dietary balance between protein and energy is essential for optimal feed conversion efficiency. The intake path of macronutrients from 10–31 days in choice and sequential feeding groups were plotted and compared with the null path if broiler chickens selected equal amounts of the three diets in the combination. Regardless of feeding regimen, the intake paths of starch and protein are very close to the null path; however, lipid and protein intake paths in choice fed birds are father from the null path than sequentially fed birds.

Introduction

Modern broiler chickens have been strongly selected for superior growth performance including efficient feed conversion and breast-meat yield. The possibility for them to enhance performance by allowing birds to select ideal combinations of feedstuffs, has been demonstrated [1, 2]. Nutritional geometry relates feeding patterns and dietary nutritional properties to responses in growth performance and nutrient utilisation [3] and the determination of intake targets is essential to understand the nutritional priorities that govern feeding behaviour, diet selection and post-prandial metabolism in animal species [4]. Intake targets represent the quantity of nutrients that an animal requires to ingest in order to reach its nutritional target for growth and/or reproduction. Choice feeding is one means to quantify intake targets as choice feeding provides the opportunity for animals to select diets with different nutrient compositions. Hewson-Hughes, Hewson-Hughes [4] applied two approaches for diet selection; either sequential or choice feeding. Choice feeding provides animals with multiple diets to select at the same time and the objective is to identify intake targets by self-selection. In contrast, the same diets may be offered alternately under sequential feeding regimen to monitor the priorities of selection when animals are confronted with nutritionally unbalanced diets. The ability of animals to defend their nutrient intake targets when challenged in this manner becomes evident. The present study adopted both approaches to gain a better comprehension of macronutrient selection by broiler chickens.

Under nutritional geometry, the rules of compromise define the relative weighting given to the regulation of different nutrients when animals are constricted to unbalanced diets [5]. Liu, Selle [6] investigated the rule of compromise in macronutrient selection in broiler chickens and encountered the ‘equal distance rule’[3], which means animals consume feed to the point on their respective nutritional rails where the shortage of starch precisely equals the surplus of consumed protein. For optimal feed conversion efficiency, a balance between protein and energy, essentially derived from starch and lipid, is required [6]. Therefore, the objectives of this study were to investigate intake targets and preferences for macronutrients and energy densities by offering broiler chickens five dietary combinations with different concentrations of macronutrients under both sequential and choice feeding regimens.

Materials and methods

Diets preparation

Eight experimental diets were formulated based on maize, soybean meal, isolated soy protein, casein, synthetic amino acids, soybean oil and other minor ingredients to contain different levels of starch, protein, lipid and energy concentrations (Table 1). In Table 1, Experimental diet: S = starch, P = protein, L = lipid, E = energy. Capital, lowercase letters and letters with underline meant high, low and medium dietary concentration, respectively. For example, diet Spl contained high starch concentration and low protein and lipid concentrations; diet spl contained low lipid and medium starch and protein concentrations; diet PE contained high protein and high energy, respectively. All the experimental diets were formulated to similar ideal protein ratios with digestible lysine as the reference amino acid. The feeding study comprised a series of five dietary combinations to compare dietary selection under two feeding regimens (sequential or choice feeding). The details of dietary combination for choice feeding are listed in Table 2. Maize was hammer-milled through 3.2 mm sieve screen prior to mixing with other ingredients, which were then cold-pelleted and crumbled. Starch concentrations were determined by procedures based on dimethyl sulfoxide, α-amylase and amyloglucosidase[7]. Nitrogen concentrations were determined as outlined in Siriwan, Bryden [8]. Lipid concentration was determined by the automated Soxhlet extraction as described in Luque de Castro and Priego-Capote [9].

Table 1. Diet compositions, calculated and analysed nutrient specifications (g/kg) in experimental diets.

Ingredients/Diet Spl1 spl sPl spl spL spl Pe PE
Maize 738 630 522 570 619 679 375 668
Soybean meal 207 238 270 250 230 218 503 36
Soya protein isolate 0.0 27.5 55.0 27.5 0.0 0.0 10.0 100
Casein 0.0 39.8 79.7 39.8 0.0 0.0 25.0 134
Soybean oil 0.30 0.15 0.00 20.2 40.4 20.4 0.00 0.00
Lysine HCl 1.20 0.73 0.25 0.53 0.80 1.00 0.50 0.00
Methionine 1.20 3.03 4.85 3.08 1.30 1.25 4.80 4.90
Threonine 0.20 2.45 4.70 2.40 0.10 0.15 1.20 8.20
Valine 0.00 0.15 0.30 0.15 0.00 0.00 0.60 0.00
Arginine 0.00 1.25 2.50 1.25 0.00 0.00 0.00 5.00
Salt 1.50 1.60 1.70 1.75 1.80 1.65 1.80 1.60
Sodium bicarbonate 2.60 1.83 1.05 1.68 2.30 2.45 2.10 0.00
Limestone 9.90 10.35 10.80 10.25 9.70 9.80 9.90 11.7
Dicalcium phosphate 11.50 9.75 8.00 9.85 11.70 11.60 8.00 8.00
Phytase2 0.10 0.10 0.10 0.10 0.10 0.10 0.10 0.10
Choline chloride 60% 0.40 0.40 0.40 0.40 0.40 0.40 0.40 0.40
Vitamin-mineral premix3 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00
Cellulose 3.50 10.6 17.6 39.2 60.7 32.1 35.2 0.00
CeliteTM 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0
Calculated
Metabolisable energy (MJ/kg) 12.75 12.67 12.58 12.67 12.75 12.75 11.04 14.12
Protein 160 230 300 230 160 160 300 300
Lipid 32 28 25 46 67 49 21 28
Starch 500 428 355 388 420 460 260 450
Calcium 8.7 8.7 8.7 8.7 8.7 8.7 8.7 8.7
Total phosphorus 5.3 5.3 5.3 5.2 5.2 5.3 5.9 4.6
Phytate P 2.4 2.4 2.4 2.3 2.2 2.3 3.0 1.8
Non-phytate P 3.0 3.0 2.9 3.0 3.0 3.0 2.9 2.9
Lysine4 8.5 13.0 17.5 13.0 8.5 8.5 17.5 17.5
Methionine 3.7 6.6 9.6 6.6 3.7 3.7 9.0 10.1
Methionine + cysteine 6.3 9.7 13.0 9.7 6.3 6.3 13.0 13.0
Threonine 5.6 10.2 14.8 10.2 5.6 5.6 11.6 17.9
Tryptophan 1.6 2.5 3.4 2.6 1.7 1.7 3.6 3.2
Arginine 9.4 14.0 18.6 14.2 9.8 9.6 19.0 18.2
Sodium 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8
Potassium 7.7 8.1 8.5 8.1 7.7 7.7 12.5 4.4
Chloride 2.0 1.9 1.9 1.9 2.0 2.0 2.0 1.7
Analysed 5
Starch 423 334 323 313 359 358 243 349
Protein 173 254 278 261 165 183 297 285
Lipid 25 26 23 39 59 46 22 29
Dry matter 858 859 864 865 861 861 859 863

1Experimental diet: S = starch, P = protein, L = lipid, E = energy. Capital, lowercase letters and letters with underline meant high, low and medium dietary concentration, respectively. For example, diet Spl contained high starch concentration and low protein and lipid concentrations. Diet PE contained high protein and high energy, respectively.

2Axtra PHY TPT was supplemented at 1000 FTU/kg

3The vitamin-mineral premix supplied per tonne of feed: [MIU] retinol 12, cholecalciferol 5, [g] tocopherol 50, menadione 3, thiamine 3, riboflavin 9, pyridoxine 5, cobalamin 0.025, niacin 50, pantothenate 18, folate 2, biotin 0.2, copper 20, iron 40, manganese 110, cobalt 0.25, iodine 1, molybdenum 2, zinc 90, selenium 0.3

4Digestible basis

5As-is basis and protein was analysed as N x 6.25; lipid was analysed by Soxhelt extraction

Table 2. Analysed macronutrient concentrations of diets.

Dietary combinations   Diet Energy (MJ/kg) Starch (g/kg) Protein (g/kg) Lipid (g/kg)
1 Fixed energy Spl1 12.75 423 173 25
sPl 12.58 323 278 23
spL 12.75 359 165 59
2 Fixed lipid and energy Spl 12.75 423 173 25
spl 12.67 334 254 26
sPl 12.58 323 278 23
3 Fixed starch and energy sPl 12.58 323 278 23
spl 12.67 313 261 39
spL 12.75 359 165 59
4 Fixed protein and energy Spl 12.75 423 173 25
spl 12.75 358 183 46
spL 12.75 359 165 59
5 Fixed protein Pe 11.04 243 297 22
Different energy sPl 12.58 323 278 23
    PE 14.12 349 285 29

1Experimental diet: S = starch, P = protein, L = lipid, E = energy. Capital, lowercase letters and letters with underline meant high, low and medium dietary concentration, respectively. For example, diet Spl contained high starch concentration and low protein and lipid concentrations. Diet PE contained high protein and high energy, respectively.

Bird management

This feeding study complied with the specific guidelines approved by the Animal Ethics Committee of the University of Sydney (Project No. 601). Male day-old chicks (Ross 308) were received from a commercial hatchery and were offered a commercial starter diet to 9 days post-hatch. They were then identified (wing-tags), weighed and allocated into bioassay cages on the basis of body weight in an environmentally-controlled facility. There was no statistical difference between the average body weight for each cage at the beginning of the feeding study. A factorial design was used with five combinations of three feeds (or diets) being fed either sequentially or as a choice. This resulted in ten treatments which were replicated six times using six chicks per replication. A total of 360 chicks were offered experimental diets from 10 to 31 days post-hatch. Broilers had unlimited access to water and feed under a ‘23-hour-on-1-hour-off’ lighting regime for the first three days, and then under a ‘16-hour-on-8-hour-off’ lighting regime for the remainder of the study. The room temperature was maintained at 32°C for the first week, then gradually decreased to 22 ± 1°C by the end of the third week and maintained at the same temperature until the end of the feeding study. Body weight and feed intake were recorded from which feed conversion ratios (FCR) were calculated. The incidence of dead or culled birds was recorded daily and their body-weight was used to adjust FCR calculations. Nutrient intakes in the final mixture that broiler chickens selected were calculated from analysed macronutrient concentrations and intakes of each diet.

The experiment included two feeding regimens: sequential and choice feeding, as described in Hewson-Hughes, Hewson-Hughes [4]. For choice feeding, broiler chickens were offered three diets in three separate feed trays simultaneously. To avoid any positional bias, the position of each feed tray was rotated on a daily basis. For sequential feeding, broiler chickens were cycled through three 6-day periods followed by one 3-day period. From 10–28 days post-hatch, broiler chickens were offered different diets on every two of the six days. From 29–31 days post-hatch, broiler chickens were offered different diets on each of the three days. There are six possible orders for the presentation of three diets to broiler chickens, in order to reduce sequence effects, broiler chickens were randomly assigned to one of the six orders of diet presentation in the entire experimental feeding period.

In dietary combination 1, broiler chickens were offered three diets (Spl, sPl and spL) with variable dietary starch, protein and lipid concentrations but similar metabolisable energy (~ 12.69 MJ/kg). In dietary combination 2, diets Spl, spl and sPl with fixed lipid concentrations (~ 25 g/kg) and energy density (~ 12.63 MJ/kg) but variable starch and protein concentrations were offered to broiler chickens. In dietary combination 3, diets sPl, spl and spL with fixed starch concentrations (~ 332 g/kg) and energy density (~ 12.67 MJ/kg) but variable protein and lipid concentrations were offered to broiler chickens. In dietary combination 4, diets Spl, spl and spL with fixed low protein concentrations (~ 174 g/kg) and energy density (~ 12.75 MJ/kg) but variable starch and lipid concentrations were offered to broiler chickens. In dietary combination 5, diets Pe, sPl and PE with fixed high protein concentrations (~ 287 g/kg) and variable metabolisable energy density were offered to broiler chickens. As described above, in each dietary combination, the three diets were provided to broiler chickens sequentially or as choice.

Sample collection and chemical analysis

Total excreta were collected at 25–27 days post-hatch from choice fed birds to determine parameters of nutrient utilisation, which included apparent metabolisable energy (AME), AME to gross energy ratios (AME:GE), nitrogen (N) retention and N-corrected apparent metabolisable energy (AMEn). Feed intake of each diet in the choice feeding combination was recorded during this period to calculate intakes of energy and nitrogen. Excreta were air-forced oven dried for 24 h at 80°C. The gross energy (GE) of diets and excreta were determined by bomb calorimetry using an adiabatic calorimeter (Parr 1281 bomb calorimeter, Parr Instruments Co., Moline, IL). Nitrogen contents of diets and excreta were determined using a N determinator (Leco Corporation, St Joseph, MI, USA).

In the case of diet combinations 1 and 5, two birds whose body weight was close to the cage mean were selected for analysing carcass composition. Birds were euthanized by intravenous injection of sodium pentobarbitone. The carcass was weighed with feathers but without organs to calculate carcass yield before processing. The carcass was subsequently autoclaved, ground and freeze-dried to analyse for GE, N and lipid concentrations, as described previously.

Calculations

The AME values of the diets were calculated on a dry matter basis from the following equation [10]:

AMEdiet=(Feedintake×GEdiet)(Excretaoutput×GEexcreta)(Feedintake)

AME:GE Ratios were calculated by dividing AME by the GE of the appropriate diets. N contents of diets and excreta were determined using a nitrogen determinator (Leco Corporation, St Joseph, MI) and N retention was calculated from the following equation [8]:

Retention(%)=(Feedintake×Nutrientdiet)(Excretaoutput×Nutrientexcreta)(Feedintake×Nutrientdiet)×100

N-corrected AME (AMEn MJ/kg DM) values were calculated by correcting N retention to zero using the factor of 36.54 kJ/g N retained in the body [11].

Intake path was plotted by recording feed intake of individual diets every six days in choice fed birds and every two days in sequentially fed birds. By comparing intake path of choice and sequentially fed birds and this investigated animal’s regulatory capacity of prioritising nutrient intakes when nutrient imbalanced diets were provided. The intake of nutrients was calculated from the following equation,

Nutrientintake=Feedintake×Dietarynutrientconcentration

Statistical analysis

Experimental data were analysed using JMP® 9.0.0 (SAS Institute Inc. JMP Software. Cary, NC). The experimental units were replicate cage means and statistical procedures included analyses of variance using general linear models and a probability level of less than 5% was considered to be statistically significant. The experiment was conducted by Completely Randomized Design with a 2 x 5 factorial arrangement which were replicated six times using six chicks per replication. The factors were feeding regimens and diet combinations (Table 3). For each dietary combination, intakes of single experimental diets and nutrients between two choice feeding approaches were compared by pair-wise comparison (Tables 4 and 5). Only birds with choice feeding regimen were selected for determination of nutrient utilisation in Table 6 and they were analysed by Completely Randomized Design with single factor (5 dietary combinations). Only birds offered dietary combination 1 and 5 were harvested for carcass traits determination, pair-wise comparison was conducted to compare the influence of feeding regimens. The Null Hypothesis in both methods of presenting feed to broiler chickens is that the birds will consume 33.3% of each feed; therefore, in Table 4, percentage intakes of each diet were compared against 33.3% by One-Sample t-Test to determine significance. Accumulated nutrient intakes were used to plot Figs 13 and the solid line represents the intake path if broiler chickens selected equal amount of each diet.

Table 3. The influence of feeding regimens and diet combinations on growth performance and mortality rate in broiler chickens from 10–31 days post-hatch.

Diet combination Feeding regimen FI WG FCR Mortality rate
      (g/bird) (g/bird) (g/g) (%)
1 Spl, sPl, spL Sequential 2501 1692 1.480cd 0.00b
2 Spl, spl, sPl Sequential 2626 1871 1.404de 2.78b
3 sPl, spl, spL Sequential 2522 1880 1.342e 0.00b
4 Spl, spl, spL Sequential 2413 1411 1.710b 0.00b
5 Pe, sPl, PE Sequential 2433 1836 1.327e 0.00b
1 Spl, sPl, spL Choice 2485 1649 1.515c 0.00b
2 Spl, spl, sPl Choice 2596 1879 1.394de 2.78b
3 sPl, spl, spL Choice 2566 1780 1.443cd 2.78b
4 Spl, spl, spL Choice 2522 1333 1.898a 0.00b
5 Pe, sPl, PE Choice 2331 1915 1.217f 11.11a
SEM 43.29 42.69 0.0331 1.884
Main effects:Feeding regimen
Sequential 2499 1738 1.453 0.56
Choice 2500 1711 1.493 3.33
Diets
1 Spl, sPl, spL 2493b 1670b 1.497 0.00
2 Spl, spl, sPl 2611a 1875a 1.399 2.78
3 sPl, spl, spL 2544ab 1830a 1.392 1.39
4 Spl, spl, spL 2467bc 1372c 1.804 0.00
5 Pe, sPl, PE 2382c 1876a 1.272 5.56
P-Value
Diets 0.982 0.325 0.058 0.024
Feeding regimen <0.0001 <0.0001 <0.0001 0.025
  Interaction   0.164 0.241 <0.001 0.019

abcdef Means within a column not sharing common superscripts are significantly different

Table 4. The influence of feeding regimens and diet combinations on the total intakes of each diet in broiler chickens from 10–31 days post-hatch.

Dietary combination 1 2 3 4 5
Feeding regimen Diet Intake (g/bird) Intake (%) Diet Intake (g/bird) Intake (%) Diet Intake (g/bird) Intake (%) Diet Intake (g/bird) Intake (%) Diet Intake (g/bird) Intake (%)
Sequential Spl 858b 34.3 Spl 939 35.8** sPl 878b 34.8* Spl 802bc 33.2 sPl 880b 36.2***
sPl 868b 34.7 spl 922 35.1* spl 909b 36.0** spL 864b 35.8*** Pe 829b 34.0
spL 775b 31.0** sPl 766 29.2*** spL 735c 29.1*** spl 747cd 31.0*** PE 725c 29.8***
Choice Spl 673c 26.9*** Spl 865 33.3 sPl 703c 27.4** Spl 718d 28.4** sPl 663c 28.3*
sPl 639c 25.8** spl 955 36.8* spl 695c 27.1*** spL 1080a 42.9*** Pe 197d 8.4***
spL 1173a 47.3*** sPl 775 29.9** spL 1168a 45.5** spl 723d 28.7** PE 1471a 63.2***
SEM 32.7 33 32 26.8 28
Main Effects: Feeding regime
Sequential 834 875 841 804 811
Choice 828 865 855 841 777
Diet Spl 765 Spl 902a sPl 791 Spl 760 sPl 771
sPl 754 spl 938a spl 802 spL 972 Pe 513
spL 974 sPl 770b spL 951 spl 735 PE 1098
P-value
Feeding regimen 0.844 0.706 0.585 0.107 0.145
Diet <0.0001 <0.0001 <0.0001 <0.0001 <0.0001
Interaction   <0.0001   0.249   <0.0001   <0.0001   <0.0001

abcd Means within a column not sharing common superscripts are significantly different

* percentage intake is significantly different from 33.3% (P < 0.05)

** P < 0.01

*** P < 0.001

Table 5. The influence of feeding regimens on the total intakes1 of macronutrients and energy in the final mixture chosen by broiler chickens from 10–31 days post-hatch.

Feeding regimen
 
Nutrient intake (g/bird) Nutrient composition (g/kg) Energy intake Energy density
Combination 1
(Spl, sPl, spL)
 
Starch Protein Lipid Starch Protein Lipid (MJ/bird) (MJ/kg)
Sequential 1079 605 103b 436 244 57b 32.0 12.93
Choice 1061 571 115a 424 228 66a 31.6 12.63
SEM 26.5 13.2 2.1 12.3 6.5 0.8 0.72 0.348
P-Value 0.648 0.100 0.002 0.517 0.107 <0.0001 0.938 0.556
Combination 2 (Spl, spl, sPl)
Sequential 1116 716 76 431 277 29 33.6 12.95
Choice 1098 713 75 419 272 29 33.2 12.64
SEM 14.3 9.5 1.0 12.7 8.1 0.9 0.42 0.234
P-Value 0.377 0.871 0.565 0.491 0.704 0.570 0.539 0.376
Combination 3(sPl, spl, spL)
Sequential 982 706 118b 391 281a 47 32.5 12.66
Choice 1003 665 129a 390 258b 50 32.6 12.96
SEM 21.2 14.6 3.2 11.8 6.9 1.8 0.69 0.321
P-Value 0.492 0.078 0.027 0.962 0.042 0.192 0.881 0.533
Combination 4 (Spl, spl, spL)
Sequential 1071 488 123 425 194 49 30.9 12.26
Choice 1084 496 130 450 206 54 31.5 13.09
SEM 30.0 14.2 4.0 13.5 6.2 1.7 0.89 0.393
P-Value 0.763 0.695 0.261 0.209 0.181 0.059 0.641 0.165
Combination 5 (Pe, sPl, PE)
Sequential 866 817 60b 392a 369a 27 30.8 13.21
Choice 894 779 68a 349b 304b 27 31.3 12.88
SEM 17.7 15.3 1.4 9.7 8.8 0.7 0.62 0.291
P-Value
 
0.228 0.110 0.002 0.011 <0.001 0.586 0.569 0.437

ab Means within a column not sharing common superscripts are significantly different

1dry matter basis

Table 6. Nutrient utilisations in choice fed birds from 27–29 days post-hatch.

Dietary combination AME (MJ/kg) N retention (%) AMEn (MJ/kg) Excreta moisture (%)
1 (Spl, sPl, spL) 15.62b 72.58b 13.68b 67.67
2 (Spl, spl, sPl) 14.97c 67.68cd 12.87d 66.54
3 (sPl, spl, spL) 15.11c 70.59bc 12.98d 67.42
4 (Spl, spl, spL) 16.08a 77.03a 14.29a 68.71
5 (Pe, sPl, PE) 15.52b 66.52d 13.31c 63.03
SEM 0.084 1.105 0.092 2.064
P-value <0.0001 <0.0001 <0.0001 0.373

abcd Means within a column not sharing common superscripts are significantly different (P < 0.05)

Fig 1. Intake paths of macronutrients in broiler chickens offered diets with different concentrations of starch, protein and lipid.

Fig 1

Fig 3. Intake paths of protein and lipid in broiler chickens offered diets with different protein and lipid concentrations.

Fig 3

Results

The average weight gain and FCR for all experimental treatments from 10 to 31 days post-hatch was 1724 g/bird and 1.473 g/g, respectively, which were 9.5% higher than the weight gain (1575 g/bird) and 3.7% more efficient than the FCR (1.550 g/g) stipulated in 2014 Ross 308 performance objectives. The influence of feeding regimens and diet combinations on growth performance and mortality rate is shown in Table 3 (S1 and S2 Tables). The influence of feeding regimens and diet combinations on total intakes of each diet, macronutrients and energy in broiler chickens is included in Tables 4 and 5 (S3 and S4 Tables).

Dietary combination 1: Variable starch, protein and lipid

There were no differences in feed intake, weight gain, FCR or mortality rate when diets Spl, sPl and spL were offered to broilers either sequentially or as choice (Table 3). However, there were interactions in both absolute and percentage intakes of each diet between feeding regime and diet type (P < 0.0001). For absolute intakes, there were no differences in diet intakes in broiler chickens fed sequentially, whereas, choice fed birds consumed significantly (P< 0.0001) more diet spL than either diet Spl or sPl (Table 4). For percentage intakes, birds offered diet spL had a significantly lower (P < 0.0001) intake than 33.3% in sequential feeding groups (Table 4); however, it had significantly higher percentage intake than 33.3% in choice feeding groups. No difference in energy intakes was observed (P = 0.938, Table 5).

Dietary combination 2: Variable starch and protein

Broilers were given a choice between starch and protein and they were offered diets Spl, spl and sPl. There were no significant differences between sequential and choice feeding groups on feed intake, weight gain, FCR and mortality rate from 10–31 days post-hatch (P > 0.50, Table 3). However, regardless of feeding regimen, broiler chickens consumed significantly (P < 0.0001, Table 4) less diet sPl (770 g/bird, 29.5%) than diet Spl (902 g/bird, 34.6%) and spl (938 g/bird, 35.9%). There were no significant differences in macronutrient intakes between the sequential and choice feeding regimen (P > 0.35, Table 5). On average, broiler chickens chose diet combinations containing 425 g/kg starch, 275 g/kg protein and 29 g/kg lipid. No difference in energy intakes was observed (P = 0.539, Table 5).

Dietary combination 3: Variable protein and lipid

Broilers were given a choice between protein and lipid and they were offered diets sPl, spl and spL. Broiler chickens offered diets as choice had significantly lower weight gain (1780 versus 1880 g/bird, P = 0.015) and FCR (1.443 versus 1.342 g/g, P = 0.002) than sequential feeding birds from 10–31 days post-hatch (Table 3). There were no significant differences in feed intake and mortality rate between broiler chickens under different feeding regimen (P > 0.30). There were interactions in both absolute intakes of each diet between feeding regimen and diet type (P < 0.0001, Table 4). Broiler chickens in choice feeding group consumed more diet spL (1168 g/bird, 45.5%, P < 0.0001) than diets sPl or spl. However, diet spL had significantly lower (P < 0.0001) intake than diet sPl or spl in sequentially fed birds. For nutrient intakes, choice fed broiler chickens had significantly higher absolute (129 versus 118 g/bird, P = 0.027) lipid intake and selected significantly lower protein concentration (258 versus 281 g/kg, P = 0.042) than birds offered diet options sequentially. Sequentially fed birds chose diet combination of 391 g/kg starch, 281 g/kg protein and 47 g/kg lipid, whereas, choice fed birds selected diet combination of 390 g/kg starch, 258 g/kg protein and 50 g/kg lipid (Table 5). No difference in energy intakes were observed between different feeding groups (P = 0.881).

Dietary combination 4: Variable starch and lipid

Broilers were given a choice between starch and lipid and they were offered diets Spl, spL and spl. There were no differences in feed intake, weight gain and mortality rate between sequential and choice feeding groups. However, broiler chickens offered diets as choice had significantly higher FCR (1.898 versus 1.710 g/g, P = 0.004) than birds offered diets sequentially (Table 3). There were interactions in absolute intakes of individual diet between feeding regimen and diet type (P < 0.0001, Table 4). Broiler chickens had statistically higher than 33.3% intake of diet spL under both feeding regimens (P < 0.001). There were no significant (P > 0.05, Table 5) differences in nutrient and energy intakes between sequentially and choice fed birds, except lipid concentration, which tended to be significantly higher in choice fed birds (54 versus 49 g/kg, P = 0.059). On average, broiler chickens selected diet combination of 438 g/kg starch, 200 g/kg protein and 52 g/kg lipid.

Dietary combination 5: Variable energy

The balance between protein and energy was considered in dietary combination 5 where diets sPl, Pe and PE were offered to broiler chickens. There were no differences in weight gain between sequentially and choice fed birds (P = 0.127). Broiler chickens offered diet options had significantly lower feed intake (2331 versus 2433 g/bird, P = 0.03) and FCR (1.217 versus 1.327 g/g, P < 0.0001) than sequentially fed birds (Table 3). However, choice fed birds also had significantly higher mortality rate (11.11 versus 0.00%, P = 0.01) than sequentially fed birds. There were interactions in absolute intakes of individual diet between feeding regimen and diet type (P < 0.0001). Choice fed broiler chickens consumed more Diet PE (1471 g/bird, 63.2%, P < 0.0001) than diets sPl or Pe (Table 4). For nutrient intakes, choice fed broiler chickens had significantly higher lipid intake (68 versus 60 g/bird, P = 0.002) than birds offered diet options sequentially. Choice fed birds also selected significantly lower starch (P = 0.011) and protein (P < 0.001) concentrations. Sequentially fed birds consumed a diet containing 43 g more starch, 65 g more protein and the same amount of lipid as choice fed broilers (Table 5). No difference in total energy intakes were observed between different feeding groups (P = 0.569).

Selected measurements of nutrient utilisations and carcass traits

The influence of dietary combinations on nutrient utilisation in choice feeding groups from 27–29 days post-hatch is shown in Table 6 (S5 Table). There was no significant difference in excreta moisture between different dietary combinations (P = 0.373). Combination 4 had the highest AME, N retention and AMEn (P < 0.0001). By comparison, Combination 2 had the lowest AME and AMEn and Combination 5 had the lowest N retention. The influence of feeding regimen on carcass traits of broiler chickens at 30 days post-hatch in Combination 1 and 5 is shown in Table 7 (S6 and S7 Tables). In Combination 1, there were no significant differences between different feeding regimen on carcass weight, yield, carcass protein and gross energy. In contrast, in Combination 5, choice feeding groups had a significantly higher carcass weight (1944 versus 1802 g/bird, P = 0.032) and carcass yield (88.1 versus 87.3%, P = 0.012).

Table 7. The influence of feeding regimens on carcass traits at 30 days post-hatch in Dietary combination 1 and 5.

Dietary combination Feeding regimen Carcass weight (g/bird) Carcass yield (%) Carcass1 protein (%) Carcass GE1 (MJ/kg)
1 (Spl, sPl, spL) Sequential 1638 86.3 56.2 26.3
Choice 1614 86.5 56.8 25.8
SEM 65.7 0.26 1.08 0.36
P-Value 0.798 0.642 0.681 0.342
5 (Pe, sPl, PE) Sequential 1802b 87.3b 64.3 23.7
Choice 1944a 88.1a 66.3 23.4
SEM 40.4 0.19 1.21 0.24
  P-Value 0.032 0.012 0.270 0.453

1dry matter basis

Discussion

Defending lipid intake target

It is important to understand the regulatory capacities of multiple nutrient intakes in animals and voluntary nutrient intake targets when chickens are given free access to all dietary options. However, when broiler chickens were restricted to a single unbalanced diet, the priority of nutrient intake regulation was declared. Dietary combination 1 explored the preference of starch, protein and lipid in broiler chickens offered iso-energetic diets. Fig 1 illustrated the intake path of macronutrients in choice and sequential feeding groups when broiler chickens were offered dietary combination Spl, sPl and spL from 10–31 days post-hatch. When starch intake was plotted against protein (Fig 1A), choice fed birds selected a constant dietary starch to protein ratios of 1.88 g/g, which was derived from significant linear correlations between starch and protein intake (y = 1.880x–4.788, R2 = 0.99). Sequentially fed birds selected similar dietary starch to protein ratios at the end of each feeding cycle. The solid line in Fig 1 represents the null path if broiler chickens consumed equal amount of the three diets. The intake paths of choice and sequentially fed birds are close to the null path. Similar outcomes are evident in Fig 2 which compared intake paths of protein and starch in broiler chickens offered diet combination Spl, spl and sPl as sequential and choice. Both intake paths reached almost the same destination at 31 days post-hatch. This suggested that broiler chickens were able to defend starch versus protein intake targets when they were restricted to one diet at a time. This is consistent with the ‘rule of compromise’ reported in Liu, Selle [6], where the ‘equal distance rule’ was observed and broiler chickens consumed feed to the point on its respective nutritional rails where the shortage of starch exactly equals the surplus of consumed protein.

Fig 2. Intake paths of protein and starch in broiler chickens offered diets with different starch and protein concentrations.

Fig 2

For dietary combination 1, sequentially fed birds had significantly lower lipid intakes (103 versus 115 g/bird, P = 0.002) and lipid concentrations (57 versus 66 g/kg, P < 0.0001) than choice fed birds. This suggested that lipid intake target was more difficult to defend than starch and protein. Fig 1B and 1C compared intakes of lipid with protein and starch. Choice fed birds generated intake path which is away from the null path and sequentially fed birds had intake path close to the null path. Choice fed birds selected a dietary lipid to protein ratio of 0.209 g/g (y = 0.209x–0.805, R2 = 0.99, P < 0.0001) and a dietary lipid to starch ratio of 0.111 g/g (y = 0.111x–0.272, R2 = 0.99, P < 0.0001). However, sequential feeding birds selected dietary lipid to protein ratio of 0.167 g/g (y = 0.167x + 2.602, R2 = 0.99, P < 0.0001) and dietary lipid to starch ratio of 0.095 g/g (y = 0.095x + 0.841, R2 = 0.99, P < 0.0001). Sequentially fed birds failed to maintain similar dietary nutrient ratios, especially when broiler chickens were older than 16 days post-hatch. Similar outcomes were observed in Fig 3 which compared intake paths of protein and lipid in broiler chickens offered diet combination sPl, spl and spL as sequential and choice where choice fed birds had significantly higher lipid intake than sequentially fed birds (129 versus 118 g/bird, P = 0.027). Choice fed birds selected dietary lipid to protein ratio of 0.199 g/g (y = 0.199x + 0.411, R2 = 0.99, P < 0.0001), whereas sequential feeding birds selected dietary lower lipid to protein ratio of 0.165 g/g (y = 0.165x + 1.618, R2 = 0.99, P < 0.0001).

One selection criterion for modern broiler chickens is appetite to ensure maximal growth rates and feed intakes increase during grower phase as birds mature. From 16 days post-hatch, a two-day interval of diet rotation was of sufficient length to prevent broiler chickens from readjusting their intakes for lipid. Conversely, when three diets were available at the same time for broiler chickens to select, they had higher lipid intakes than sequentially fed birds. Moreover, there were no differences (P > 0.50) in energy intakes during the experimental period between sequentially and choice fed birds (32.0 versus 31.6 MJ/bird in Dietary combination 1; 32.5 versus 32.6 MJ/bird in Dietary combination 3; 30.8 versus 31.3 MJ/bird in Dietary combination 5). This may be because lipid possesses the highest energy density amongst standard feed ingredients [12] which would facilitate dietary adjustments. Moreover, Noblet, Milgen [13] indicated that lipid (31.5 MJ/kg) generates higher net energy densities than starch (14.4 MJ/kg) and protein (10.2 MJ/kg) in pigs. In choice fed birds in Dietary combination 1, broiler chickens selected 47.3% of diet spL which was higher in lipid than the other two diets. Diet spL contained the highest lipid concentration (59 g/kg) than diet Spl (29 g/kg) and diet sPl (23 g/kg). Similar findings were observed in Dietary combinations 3–5 where diets with the highest lipid concentration were consumed in greater amount in choice feeding groups. Klasing [14] suggested that addition of lipid to low fat diets increases feed intake in chickens offered iso-energetic diets, and this phenomenon may be due to palatability. It has been argued that birds have a lower taste acuity compared to mammals due to their low taste bud numbers; however, chickens are able to quickly adapt their feeding behaviour based on taste cues and the ratio of the number of taste buds/oral cavity volume is higher than in most mammals [15]. Mabayo, Okumura [16] fed chickens flavoured or non-flavoured diets with medium-chain and long-chain triacylglycerol and found that birds showed a significant preference for non-flavored diets over flavored diets. This suggests that gustation may play a role in determining feed intake in chickens.

Diets with low protein concentrations

It is noteworthy that there was obvious feed wastage in Dietary combination 4 caused by feed flicking. Feed wastage was not observed in other diet combinations. However, feed wastage was not quantifiable, thus feed intake calculations for broiler chickens offered diets Spl, spL and spl were biased by feed wastage. This may have contributed to the highest FCR (1.804 g/g) and feed flicking may be associated with the low amino acid concentrations in the three diets. The formulated concentrations of lysine, sulphur amino acids and threonine were 8.5, 6.3 and 5.6 g/kg, respectively. Low amino acid concentrations may have contributed to less efficient feed conversion in broiler chickens in Dietary combination 4. This is supported by previous studies Liu, Selle [6] and Liu, Selle [17] where both reported that FCR was decreased with increasing dietary protein concentrations. Similar findings were observed in Jackson, Summers [18] and Collin, Malheiros [19]. Jackson, Summers [18] showed when protein concentrations were increased from 160 to 360 g/kg, FCR was significantly improved from 2.29 to 2.11 g/g in broiler chickens from 0–49 days post-hatch. Collin, Malheiros [19] showed a low-protein diet (126 g/kg) had a FCR of 2.82 g/g compared to average FCR of 1.71 g/g in a normal protein diet (197 g/kg) in broiler chickens from 0–42 days post-hatch. Moreover, broilers retained significantly less energy as protein in low-protein diets than the average retained protein energy in diets with normal protein concentrations (123 versus 285 kJ/kg BW0.75 per day, P < 0.0001). A meta-analysis based on seven studies using sorghum-based diets as a dietary model suggested that FCR was correlated with both protein and starch digestion rates, but protein digestion rate was more important than starch to feed efficiency and muscle protein deposition [20]. Therefore, it was expected that diets with lower amino acid or crude protein concentrations had suboptimal FCR.

Different from growth performance, broiler chickens offered low protein diet combination in Dietary combination 4 had significantly (P < 0.0001) better N retention (77.03%), AME (16.08 MJ/kg) and AMEn (14.29 MJ/kg) than broiler chickens offered other diet combinations. Consistently, Jackson, Summers [21] reported that increasing dietary protein levels from 160 to 360 g/kg reduced protein utilisation by 48.4% from 34.9 to 18.0% and reduced energy utilisation by 17.1% from 27.5 to 22.8%. The authors concluded that protein and energy utilisation was negatively correlated with protein intake. Similar observations were made in Liu, Selle [6], where N retention was negatively correlated with dietary protein to starch ratios (P < 0.01).

Choice fed birds had significantly higher FCR (1.898 versus 1.710 g/g) than sequentially fed birds in Dietary combination 4. The lack of differences in nutrient intakes between choice and sequentially fed birds indicated the variation in FCR between two feeding groups was more likely due to nutrient utilisation (Table 6). Also, choice fed birds had liberty to select from three diets while birds with sequentially fed birds were restricted to one diet only at any one time. Therefore, diet selection in birds with choice feeding may have caused a higher energy expense on feeding compared to birds with sequential feeding. Nir, Hillel [22] suggested that lack of uniform particle size in mash diets reduces feed efficiency because of the increased time and energy for chicks to select larger particles.

Protein and energy balance

Liu, Selle [6] showed that protein is more important than non-protein components in the diets for muscle protein deposition. Liu, Selle [17] reported quadratic relationships between FCR and protein:AME ratios in the diet and FCR was improved with increasing protein:AME ratios until predicted minimal FCR of 1.066 g/g was reached when protein:AME ratio equalled 19.32. Liu and Selle [20] considered the balance of starch and protein digestion and its relevance to feed efficiency as both digestion of protein and starch and absorption of amino acids and glucose are required for muscle protein deposition. In Dietary combination 5, in order to determine the importance of the balance of protein and energy, all three diets were formulated to contain high amino acid concentrations, including lysine (17.5 g/kg), sulphur amino acids (13.0 g/kg) and threonine (11.6 to 17.9 g/kg) but their energy density varied from 11.04 to 14.12 MJ/kg. Emmans [23] suggested that birds eat to satisfy their requirement for the most limiting nutrient in the ration; thus non-protein energy could be limiting in high protein diets. Indeed, broiler chickens chose to eat 63.2% diet PE which contained the highest energy density, and this led to a higher mortality rate (11.11 versus 0.00%, P = 0.01) in choice feeding groups. Consistently, Liu, Selle [17] also reported significantly higher mortality in diets containing high protein, high lipid and low starch, which had an efficient feed conversion of 1.146 g/g but an excessive mortality rate of 37.5%. The higher mortality rate may be due to the metabolic stress of high nutrient intakes and rapid growth in high yielding, modern broiler chickens.

In Dietary combination 5, choice fed birds had 8.3% significantly lower FCR than those offered diets sequentially (1.217 versus 1.327, P < 0.0001). Sequentially fed birds selected higher starch (392 versus 349 g/kg, P = 0.011), protein (369 versus 304 g/kg, P < 0.001) and energy (13.21 versus 12.88 MJ/kg, P = 0.437) concentrations than birds with choice feeding (Table 5) and they had higher FCR and lower weight gain. Sequentially fed birds had restricted access to a balanced diet, which may cause asynchrony between protein and non-protein energy. For example, sequentially fed birds consumed 829 g/bird diet PE; in contrast, choice fed birds only consumed 197 g/bird diet Pe (P < 0.0001, Table 4). Broiler chickens were forced to eat diet PE under the sequential feeding regimes as only one diet was available at a time, and diet PE contained similar protein (digestible lysine) concentrations to diet sPl and PE but lower starch and lipid concentration. During the experimental period, choice fed birds had significantly higher lipid intake than sequentially fed birds (68 versus 60 g/bird, P = 0.002). In addition, the major source of protein in experimental diets was soybean meal, casein and isolated soy protein. In contrast to diet sPl and Pe, diet PE had the highest inclusion of casein and isolated soy protein and this may have contributed to better FCR in choice fed birds. Liu and Selle [20] suggested the rate of protein digestion is more important to feed conversion efficiency than starch and rapidly digestible protein is beneficial to feed efficiency and muscle protein deposition. Both casein and isolated soy protein are considered to be sources of rapidly digestible protein and higher consumption of diet PE in choice feeding group may have contributed to significantly better feed conversion efficiency and higher carcass weight (1944 versus 1802 g/bird, P = 0.032).

Conclusions and implications

The present study predictably demonstrated suboptimal growth performance in diets containing low-protein concentrations, especially as poor feed conversion efficiency. The balance of protein and energy is essential for optimal feed conversion and carcass yields. When broiler chickens were offered diets with different metabolisable energy but the same high amino acid concentrations, they were able to select the diet with the highest energy. This led to the significantly lower FCR and higher carcass weights and yields in choice feeding groups than sequential feeding. In combinations with diets containing different dietary lipid concentrations, broiler chickens had lower lipid intake under sequential feeding regimes and this suggested that broilers were not able to defend their lipid intakes under a diet rotation interval of two days. In addition, the diet containing the highest lipid concentration supported the highest feed intakes in choice fed birds. This may be due to the high energy density of lipid or the lipid “taste” in the diet. Relatively less attention has been paid to lipid than starch and protein in poultry nutrition research; however, lipid has the potential to closely regulate feed intake and it is an expensive energy component in poultry diets. Therefore, future studies exploring the interaction between two major energy components–lipid and starch in diets with different energy density are required to confirm the impact of lipid on feed intake and other growth performance parameters.

Supporting information

S1 Table. Growth performance in all the cages.

(XLSX)

S2 Table. Individual bird weight and weight gain calculation in each cage.

(XLSX)

S3 Table. Feed intake calculation in sequentially fed birds.

(XLSX)

S4 Table. Feed intake calculation in choice fed birds.

(XLSX)

S5 Table. Calculation of nutrietn utilisation in each cage.

(XLSX)

S6 Table. Carcass weight of individual bird in each cage.

(XLSX)

S7 Table. Carcass composition of individual bird in each cage.

(XLSX)

Acknowledgments

The authors would like to thank Mr Greg Hargreave from Baiada Poultry for his contributions for orientating this project from an industry perspective. We appreciate comments made by Professor David Raubenheimer, Professor Rob Gous and Professor Stephen Simpson for designing this experiment. We also acknowledge the technical assistance of Ms Joy Gill, Ms Melinda Hayter, Ms Kylie Warr, Mr Duwei Chen and Ms Katharine Dehon from Poultry Research Foundation for their assistance with bird management, sample collection and laboratory analyses.

The authors’ contributions are as follows: S. Y. L. contributed to the study design, data collection and analyses and manuscript writing; P. V. C contributed to experimental design and diet formulation; A. J. C. and P. H. S. contributed to experimental design and manuscript writing; H. H. T. and A. F. M. contributed to data collection.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The present study was funded by the Celestino Baiada Research Fellowship in Poultry Science, a generous donation to The University of Sydney by Baiada Poultry Pty Limited, Sydney, Australia. It provided financial support in the form of Dr Sonia Liu’s salary. As a gift to The University of Sydney, the donor generously agreed to share research outcomes with the public. The funder provided support in the form of salaries for S.Y.L., and Mr Peter Chrystal contributed to the study design and preparation of the manuscript.

References

  • 1.Gous RM, Swatson HK. Mixture experiments: a severe test of the ability of a broiler chicken to make the right choice. Brit Poultry Sci. 2000;41(2):136–40. doi: 10.1080/713654920 [DOI] [PubMed] [Google Scholar]
  • 2.Liu SY, Truong HH, Khoddami A, Moss AF, Thomson PC, Roberts TH, et al. Comparative performance of broiler chickens offered ten equivalent diets based on three grain sorghum varieties as determined by response surface mixture design. Anim Feed Sci Technol. 2016;218:70–83. doi: 10.1016/j.anifeedsci.2016.05.008 [Google Scholar]
  • 3.Simpson SJ, Raubenheimer D. A multilevel analysis of feeding-behavior—the geometry of nutritional decisions. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences. 1993;342(1302):381–402. doi: 10.1098/rstb.1993.0166 [Google Scholar]
  • 4.Hewson-Hughes AK, Hewson-Hughes VL, Miller AT, Hall SR, Simpson SJ, Raubenheimer D. Geometric analysis of macronutrient selection in the adult domestic cat, Felis catus. J Exp Biol. 2011;214(6):1039–51. doi: 10.1242/jeb.049429 [DOI] [PubMed] [Google Scholar]
  • 5.Simpson SJ, Raubenheimer D. The geometric analysis of feeding and nutrition—an users guide. J Insect Physiol. 1995;41(7):545–53. doi: 10.1016/0022-1910(95)00006-g [Google Scholar]
  • 6.Liu SY, Selle PH, Raubenheimer D, Cadogan DJ, Simpson SJ, Cowieson AJ. An assessment of the influence of macronutrients on growth performance and nutrient utilisation in broiler chickens by nutritional geometry Br J Nutr. 2016;116:2129–38. doi: 10.1017/S0007114516004190 [DOI] [PubMed] [Google Scholar]
  • 7.Mahasukhonthachat K, Sopade PA, Gidley MJ. Kinetics of starch digestion and functional properties of twin-screw extruded sorghum. J Cereal Sci. 2010;51(3):392–401. doi: 10.1016/j.jcs.2010.02.008 [Google Scholar]
  • 8.Siriwan P, Bryden WL, Mollah Y, Annison EF. Measurement of endogenous amino-acid losses in poultry. Brit Poultry Sci. 1993;34(5):939–49. doi: 10.1080/00071669308417654 [DOI] [PubMed] [Google Scholar]
  • 9.Luque de Castro MDL, Priego-Capote F. Soxhlet extraction: Past and present panacea. J Chromatogr A. 2010;1217(16):2383–9. doi: 10.1016/j.chroma.2009.11.027 [DOI] [PubMed] [Google Scholar]
  • 10.Amerah AM, Ravindran V, Lentle RG, Thomas DG. Influence of feed particle size and feed form on the performance, energy utilization, digestive tract development, and digesta parameters of broiler starters. Poult Sci. 2007;86(12):2615–23. doi: 10.3382/ps.2007-00212 [DOI] [PubMed] [Google Scholar]
  • 11.Hill FW, Anderson DL. Comparison of metabolizable energy and productive energy determinations with growing chicks. J Nutr. 1958;64(4):587–603. [DOI] [PubMed] [Google Scholar]
  • 12.Ravindran V, Tancharoenrat P, Zaefarian F, Ravindran G. Fats in poultry nutrition: Digestive physiology and factors influencing their utilisation. Anim Feed Sci Technol. 2016;213:1–21. doi: 10.1016/j.anifeedsci.2016.01.012 [Google Scholar]
  • 13.Noblet J, Milgen Jv, Dubois S, editors. Utilisation of metabolisable energy of feeds in pigs and poultry: interest of net energy systems? Proceedings of the 21st Annual Australian Poultry Science Sumposium, Sydney, New South Wales, 1-3rd February 2010; 2010. Sydney Australia: Poultry Research Foundation; 2010.
  • 14.Klasing KC. Lipid In: Klasing KC, editor. Comparative Avian Nutrition. Oxford: CAB International; 1998. p. 171–200. [Google Scholar]
  • 15.Roura E, Baldwin MW, Klasing KC. The avian taste system: Potential implications in poultry nutrition. Anim Feed Sci Technol. 2013;180(1–4):1–9. doi: 10.1016/j.anifeedsci.2012.11.001 [Google Scholar]
  • 16.Mabayo RT, Okumura JI, Furuse M. Dietary flavor modifies oil preferences in the chicken. Applied Animal Behaviour Science. 1996;49(3):213–21. doi: 10.1016/0168-1591(96)01047-7 [Google Scholar]
  • 17.Liu SY, Selle PH, Raubenheimer D, Gous RM, Cadogan DJ, Simpson SJ, et al. Growth performance, nutrient utilisation and carcass composition respond to dietary protein concentrations in broiler chickens but responses are modified by dietary lipid levels. Br J Nutr. 2017:submitted. [DOI] [PubMed] [Google Scholar]
  • 18.Collin A, Malheiros RD, Moraes VMB, Van As P, Darras VM, Taouis M, et al. Effects of dietary macronutrient content on energy metabolism and uncoupling protein mRNA expression in broiler chickens. Br J Nutr. 2003;90(2):261–9. doi: 10.1079/bjn2003910 [DOI] [PubMed] [Google Scholar]
  • 19.Jackson S, Summers JD, Leeson S. Effect of dietary-protein and energy on broiler performance and production costs. Poult Sci. 1982;61(11):2232–40. [DOI] [PubMed] [Google Scholar]
  • 20.Liu SY, Selle PH. A consideration of starch and protein digestive dynamics in chicken-meat production. World Poultry Sci J. 2015;71:297–310. [Google Scholar]
  • 21.Jackson S, Summers JD, Leeson S. Effect of dietary-protein and energy on broiler carcass composition and efficiency of nutrient utilization. Poult Sci. 1982;61(11):2224–31. [DOI] [PubMed] [Google Scholar]
  • 22.Nir I, Hillel R, Shefet G, Nitsan Z. Effect of grain particle-size on performance .2. grain texture interactions. Poult Sci. 1994;73(6):781–91. [DOI] [PubMed] [Google Scholar]
  • 23.Emmans GC. Growth, body-composition and feed-intake. World Poultry Sci J. 1987;43(3):208–27. doi: 10.1079/wps19870014 [Google Scholar]

Associated Data

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

Supplementary Materials

S1 Table. Growth performance in all the cages.

(XLSX)

S2 Table. Individual bird weight and weight gain calculation in each cage.

(XLSX)

S3 Table. Feed intake calculation in sequentially fed birds.

(XLSX)

S4 Table. Feed intake calculation in choice fed birds.

(XLSX)

S5 Table. Calculation of nutrietn utilisation in each cage.

(XLSX)

S6 Table. Carcass weight of individual bird in each cage.

(XLSX)

S7 Table. Carcass composition of individual bird in each cage.

(XLSX)

Data Availability Statement

All relevant data are within the paper and its Supporting Information files.


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