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. 2023 Feb 10;102(7):102577. doi: 10.1016/j.psj.2023.102577

Effect of different dietary energy/protein ratios on growth performance, reproductive performance of breeding pigeons and slaughter performance, meat quality of squabs in summer

Jie Peng *,1, Weiying Huang †,1, Wei Zhang *, Yanlin Zhang *, Menglin Yang *, Shiqi Zheng *, Yantao Lv *, Hongyan Gao *, Wei Wang *, Jian Peng , Yanhua Huang ⁎,‡,2
PMCID: PMC10206179  PMID: 37201433

Abstract

Large-scale pigeon farming in China is gradually increasing. However, studies on the basic nutritional requirements of breeding pigeons during lactation, which greatly influence the productivity and economic benefits of pigeon breeding, remain scanty. The objective of this study was to determine the optimal dietary energy/protein ratio requirements for lactating pigeons in summer. A total of 576 pairs of Mimas breeding pigeons were randomly divided into 12 groups (n = 48 per treatment), and each pair bred 4 squabs. A two-way ANOVA design with different protein levels (15%, 16%, 17%, and 18%) for factor A and different energy levels (12.6 MJ/kg, 12.8 MJ/kg, and 13.0 MJ/kg) for factor B was used to design 12 groups of experimental diets for feeding. The experiment lasted for 28 d. We found that ME level had little effect on breeding pigeons, but the CP level and dietary energy/protein ratio significantly affected the reproductive and growth performance of the pigeons. The lowest total weight loss (P < 0.01), and the highest egg production (P < 0.01) were observed in group 11 (18% CP, 12.8 MJ/kg). It had no effect on egg quality. Both ME and CP levels significantly affected the growth performance, slaughter performance and meat quality of squabs, and there was a strong interaction between CP and ME. The fastest growth rate (P < 0.01) was observed in group 11 (18% CP, 12.8 MJ/kg). The best CP and ME combination for the eviscerated weight, pectoral muscle weight, organ weight, 45 min meat color (L, a, b), pH, and muscle fiber characteristics were also group 11. Finally, the regression model revealed that the best dietary energy/protein ratio was 17.92 to 19.02 kcal/g for squabs and 16.72 kcal/g for the breeding pigeons. There was a strong interaction between energy and protein levels in breeding pigeons during the lactation period, and the best production performance was at 18% CP 12.8 MJ/kg. And this is recommended to be applied as the energy/protein ratio dietary requirement for breeding pigeons during lactation in the summer “2 + 4” pattern.

Key words: dietary energy/protein ratio, growth performance, reproductive performance, slaughter performance, meat quality

INTRODUCTION

In recent years feed material prices around the world have continued to rise. Many breeding companies pay more attention to the effectiveness of feed inputs and outputs. Therefore, in the actual production of livestock and poultry breeding, providing accurate nutrition to animals can achieve the best production performance and breeding efficiency (Geng et al., 2022). The pigeon farming industry in China has developed rapidly, with annual production and sales of nearly 700 million squabs, which is the highest producer in the world (Kokoszynski et al., 2020). However, unlike other poultry, squabs rely heavily on the “crop milk” of their parents to meet their nutritional requirements for growth and development (Dong et al., 2012; Gillespie et al., 2012). Feeding nutritionally irrational diets may lead to malnutrition or overnutrition in broiler pigeons, resulting in poor reproductive performance of the parents and even reducing the survival rate of squabs (Xie et al., 2019). Therefore, meeting the nutritional needs of breeding pigeons is key to achieving optimal production and economic benefits. Many farms have recently adopted the “2 + 4” high-yield breeding pattern, in which a pair of breeding pigeons feeds 4 squabs simultaneously. This high-production model not only increases the breeder's feeding burden but also requires a higher nutritional supply for the parents during the lactation period.

Metabolizable energy (ME) and crude protein (CP) levels of diets are important factors affecting the growth, development, and reproductive performance of livestock and poultry (Liu et al., 2015; Zeng et al., 2015; Xia et al., 2019; Heijmans et al., 2021). ME and CP are not independent of each other. There is a clear link between them. When the level of CP and ME in the diet is maintained in an appropriate proportion, it is beneficial for the health status and production performance of poultry, etc. (Chen et al., 2021). Therefore, specifying the optimal energy-to-protein ratio nutritional level in diets is an important basis for other poultry science studies. Bu et al. (2015) found that optimal body weight and egg production performance could be achieved at a dietary CP level of 14.0% and an ME level of 12.30 MJ/kg for laying pigeons. It was also found that for optimal production performance of breeding pigeons, the optimal level of diet was 17% CP at 12.50 MJ/kg in the “2 + 2” breeding pattern and 18% CP at 12.50 MJ/kg in the “2 + 3” breeding pattern (Li et al., 2022). In previous studies on single forms of CP and ME levels, the optimal CP level required for breeding pigeons was about 16.16 to 18%, while the optimal ME level was about 11.85 to 12.81 MJ/kg (Ye et al., 2015; Gao et al., 2016a; Wang et al., 2018; Zhu et al., 2021). The huge variation in the study findings may be due to the differences in the experimental breeding patterns and seasonal variations, which make it difficult to be applied in production practice. In particular, the effect of the energy/protein ratio on the production of breeding pigeons during the lactation period is still unclear. Therefore, this study aimed to determine the optimal energy and protein ratio requirement of breeding pigeon diet during lactation under the "2 + 4" feeding pattern in summer by adopting two-way ANOVA experiment with different levels of CP and ME, so as to provide a reference for formulating the diet of breeding pigeon during lactation and large-scale breeding of meat pigeon.

MATERIALS AND METHODS

All experimental procedures were carried out according to the Guidelines of Institutional Animal Care and approved by the Institutional Animal Ethics Committee of the Zhongkai University of Agricultural Engineering (Ethics Code: ZHKUMO-2021-075).

Study Design

In this study, 576 pairs of Mimas white pigeons of 12 to 14 months old with similar weight and reproductive performance were selected to carry out a two-way experiment. The factors are 4 CP levels (15%, 16%, 17%, and 18%) and 3 ME levels (12.6 MJ/kg, 12.8 MJ/kg, and 13.0 MJ/kg), respectively. A total of 12 treatments were tested (Table 1). It reveals that the energy/protein ratios of the 1 to 12 treatment groups were 20.12 kcal/g, 20.34 kcal/g, 20.72 kcal/g, 18.86 kcal/g, 19.09 kcal/g, 19.42 kcal/g, 17.63 kcal/g, 18.00 kcal/g, 18.22 kcal/g, 16.72 kcal/g, 17.00 kcal/g, 17.26 kcal/g, respectively. During the experiment, the pigeons were randomly divided into 48 pairs with 8 replicates per treatment group. The experiment lasted for 28 d, including 21 d of lactation and 7 d of the resting period. Notably, the “2 + 4” breeding pattern was used. The experimental pigeons and squabs were provided by Guangdong Meizhou Golden Green Modern Agricultural Development Company. The breed is European Mimas white pigeon.

Table 1.

Nutrient content of experimental diets for breeding pigeons during lactation.

Items I II III IV V VI VII VIII IX X XI XII
Corn 24.00 24.00 24.00 20.00 20.00 20.00 17.00 17.00 17.00 15.00 15.00 15.00
Sorghum 15.00 15.00 15.00 15.00 15.00 15.00 15.00 15.00 15.00 13.00 13.00 13.00
Wheat 15.00 15.00 15.00 16.50 16.50 16.50 16.00 16.00 16.00 13.00 13.00 13.00
Peas 41.00 39.00 37.00 39.00 37.00 35.50 39.00 37.00 35.00 43.50 41.50 39.50
Pal moil 0.00 1.00 2.00 0.80 1.80 2.80 1.50 2.50 3.50 2.30 3.30 4.30
Soybean meal 5.00 6.00 7.00 8.70 9.70 10.20 11.50 12.50 13.50 13.20 14.20 15.20
Total 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00
Nutrient levels1
 CP (%) 14.98 15.05 15.02 15.97 16.04 16.02 17.08 17.00 17.05 18.00 17.98 18.02
 EE (%) 2.25 3.23 4.22 2.72 3.71 4.69 3.21 4.17 5.14 3.67 4.56 5.63
 Moisture (%) 12.26 12.14 12.02 12.22 12.11 11.99 12.20 12.07 11.95 12.16 12.05 11.93
 Ash (%) 1.95 1.96 1.96 2.09 2.10 2.10 2.25 2.24 2.25 2.38 2.38 2.39
 Ca (%) 0.08 0.08 0.08 0.09 0.09 0.09 0.10 0.10 0.10 0.11 0.11 0.11
 TP (%) 0.34 0.34 0.34 0.35 0.35 0.35 0.36 0.36 0.36 0.37 0.37 0.36
 ME (MJ/kg) 12.61 12.81 13.02 12.60 12.81 13.02 12.60 12.80 13.00 12.59 12.79 13.01
 ME/CP (kcal/g) 20.12 20.34 20.72 18.86 19.09 19.42 17.63 18.00 18.22 16.72 17.00 17.26
SIDAA (%)
 Asp 1.42 1.43 1.43 1.53 1.55 1.55 1.67 1.66 1.67 1.78 1.78 1.79
 Glu 2.84 2.84 2.81 2.99 2.97 2.96 3.14 3.12 3.13 3.27 3.26 3.26
 Ser 0.72 0.72 0.72 0.76 0.77 0.77 0.82 0.81 0.82 0.86 0.86 0.86
 His 0.38 0.39 0.39 0.41 0.41 0.41 0.44 0.43 0.44 0.46 0.46 0.46
 Gly 0.55 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.56 0.58 0.57 0.57
 Thr 0.54 0.55 0.55 0.58 0.58 0.58 0.62 0.62 0.62 0.66 0.66 0.66
 Arg 1.12 1.13 1.13 1.19 1.20 1.20 1.27 1.27 1.27 1.34 1.34 1.34
 Ala 0.71 0.71 0.71 0.74 0.75 0.74 0.79 0.78 0.78 0.82 0.82 0.82
 Tyr 0.31 0.31 0.30 0.31 0.31 0.31 0.32 0.32 0.31 0.32 0.32 0.32
 Val 0.57 0.57 0.57 0.62 0.62 0.62 0.67 0.67 0.67 0.72 0.72 0.72
 Met 0.13 0.14 0.14 0.17 0.17 0.18 0.21 0.21 0.21 0.24 0.25 0.25
 Phe 0.71 0.71 0.71 0.75 0.76 0.76 0.81 0.80 0.80 0.85 0.85 0.85
 Ile 0.52 0.53 0.53 0.57 0.57 0.57 0.62 0.62 0.62 0.67 0.67 0.67
 Leu 1.30 1.30 1.30 1.35 1.36 1.35 1.42 1.41 1.41 1.48 1.47 1.47
 Lys 0.79 0.79 0.80 0.85 0.86 0.86 0.92 0.92 0.93 0.99 0.98 0.99
1

All nutrient levels were calculated values.

Feeding and Routine Management

This study was carried out from July 2021 to September 2021. The temperature in the loft during the summer trials ranged from 23°C to 35°C with an average of 27°C to 28°C and the humidity ranged from 46 to 73% with an average of 75 to 76%. Each pair was kept in separate cage and provided with enough food and water. The single-cage system ensured the best care was provided for each pair. The pigeons were fed manually at regular intervals from 7:00 am, and every evening at 19:00 they were fasted. During experimental period, we checked the feed through 5 times a day to ensure that there was still material when the material was finally withdrawn. In this way, the daily feed intake can be accurately measured by weighing the added and remaining feed weight of each cage. The pigeons were fed on complete-formula granulated feeds. It was also supplemented with health sand prepared only from ordinary shells and gravel (in a ratio of 1:2) to help the breeding pigeons digest. The specific nutritional composition of the experimental feeds is shown in Table 1.

Growth Performance of the Breeding Pigeons and Squabs During Lactation

The weights of the breeding pigeons before feeding and the 4 squabs nursed by each pair were weighed at 0 d, 7 d, 14 d, 21 d, and 28 d, respectively. The pigeons were counted separately by sex. The living condition of the squabs was observed and recorded daily promptly. The survival curve of the squabs during the whole period of the experiment was plotted based on the recorded data. Researchers recorded the daily additions and residuals to calculate the feed-to-gain ratio (F/G) of the squabs.

Reproductive Performance of the Breeding Pigeons During Lactation

The egg weight, egg-laying interval, egg-laying rate, fertilization rate, and hatching rate in the first breeding cycle during lactation were recorded. The birth weights of the squabs were also recorded.

Egg Quality During the Lactation Period

Thirty eggs in the second breeding cycle of lactation were randomly selected from each treatment group according to several similar studies (Zhang et al., 2021; Jin et al., 2022). Before measuring, all the eggs were stored at 4°C. The egg weight and yolk weight were determined using a universal electronic analytical balance (PWN124ZH/E). The egg shape index was calculated by measuring the longitudinal and transverse diameter with a vernier caliper (egg shape index = longitudinal diameter/transverse diameter). Eggshell strength was determined using a strength meter (EFR-01, ORKA Food Technology Ltd., Ramat Hasharon, Israel) with a blunt end for pigeon eggs. An automatic egg analyzer (EA-01, Robotmation Ltd., Tokyo, Japan) was used for determination at Haugh unit. The eggshells were washed with running water and dried naturally. Then the eggshells were weighed using a PWN124ZH/E 10,000-position electronic analytical balance. Finally, the shell membrane was removed to retain the calcified layer of eggshell. The thickness of the tip, middle and blunt end of eggshell was measured by a digital micrometer, and the average value of the 3 places was taken as the value of eggshell thickness.

Slaughter Performance of Squabs

The squabs were fasted for 12 h at 21 d of age, and then 24 squabs were randomly sampled from each treatment group for slaughter. The slaughter weight, semieviscerated weight, eviscerated weight, pectoral muscle weight, abdominal fat weight, liver weight, heart weight, kidney weight, glandular stomach weight, gizzard weight, pancreas weight, spleen weight, thymus weight, and bursa weight of the slaughter squabs were determined according to the metric statistics method specified in NY/T 823-2020 Poultry Production Performance Terms and Metric Statistical Methods (Ministry of Agriculture of the People's Republic of China, 2020).

Meat Physiochemical Quality of Slaughtered Squabs

The pectoral muscle samples were stored in sealed bags at 4°C after squab slaughtered for pH determination at 45 min and 24 h. The right pectoral muscle meat color (redness a, yellowness b, and lightness L values) and drip loss of the left pectoral muscle were determined according to the method of Petracci et al. (2013) at the stated intervals. Twelve squabs were randomly sampled from each treatment group of postslaughter pigeons. At the same time, about 1 cm3 muscle pieces were taken at the fixed position of the pectoral muscle and preserved in PFA fixative for backup. The fixed pectoral muscle samples were also sectioned (section thickness 10 μm) after gradient ethanol dehydration, xylene transparency, and paraffin embedding. These sections were rehydrated by gradient and stained using hematoxylin & eosin (HE). Then these stained sections were carefully observed and photographed under a 400× microscope. The muscle fiber area and muscle fiber diameter of individual muscle fibers in each photograph were measured using Image J software. The number of muscle fibers in 100*100 μm2 was marked according to the method adopted by Chen et al. (2020) using the counting tool in Image J software. And finally converted to the density of muscle fibers in a 1 mm2 photograph. The final data of muscle fiber traits were obtained for 12 groups for subsequent analysis.

Statistical Analysis

The data were analyzed using Excel and SPSS software, version 26.0. Differences between groups were compared using the Duncan's method, while the interaction between ME and CP was analyzed by 2-way ANOVA based on the general linear model (GLM). The significance test was performed using the LSD method, and P < 0.05 was considered statistically significant. The corresponding data were analyzed by linear and quadratic regression analysis of energy/protein ratio requirements.

RESULTS

Dietary Energy/Protein Ratio Affected the Growth Performance of Breeding Pigeons

High CP levels significantly reduced the weight loss of the breeding pigeons during lactation. Meanwhile, the weight loss of the breeding pigeons was lowest at 18% CP, which is significantly lower than in the other CP groups (P < 0.01). The ME level had little effect on the weight of the breeding pigeons. There was a strong interaction between CP and ME, which jointly affected the weight of the breeding pigeons during the lactation period. Group 12 (18% CP, 13.0 MJ/kg) had the lowest weight loss during lactation and the fastest weight recovery after the lactation period when the dietary energy/protein ratio was 17.26 kcal/g (Table 2).

Table 2.

Effect of dietary energy/protein ratios on the growth performance of breeding pigeons during lactation in summer.

Treatments (n = 8) CP/% ME/MJ/kg Male pigeon weight loss/g Female pigeon weight loss/g Total weight loss/g
I 15 12.6 91.262CDE 68.700CD 159.962DEF
II 15 12.8 102.725ABCD 74.300CD 177.025CDEF
III 15 13.0 116.850AB 87.025ABC 203.875ABC
IV 16 12.6 108.575ABC 76.100CD 184.675BCD
V 16 12.8 107.812ABCD 69.788CD 177.538CDEF
VI 16 13.0 123.525A 102.375A 225.900A
VII 17 12.6 119.275AB 97.900AB 217.288AB
VIII 17 12.8 113.562AB 69.550CD 183.288CDE
IX 17 13.0 88.825CDE 61.213D 150.050EF
X 18 12.6 76.550E 79.075BCD 156.775DEF
XI 18 12.8 98.375BCDE 61.763D 155.613DEF
XII 18 13.0 86.230DE 64.210D 149.710F
SEM 2.673 2.364 3.994
Main effect
CP (n = 24) 15% 103.612A 76.675 180.287A
16% 113.304A 82.754 196.037A
17% 107.221A 76.221 183.542A
18% 87.495B 67.663 153.852B
ME (n = 32) 12.6 MJ/kg 98.916 80.444 179.675
12.8 MJ/kg 105.619 68.850 173.366
13.0 MJ/kg 104.190 78.191 182.249
P values CP <0.001 0.126 <0.001
ME 0.457 0.059 0.547
C*M <0.001 <0.001 <0.001
A-F

Different superscript capital letters indicate extremely significant differences (P < 0.01), n = 8/group; C*M CP × ME; Total weight loss = (Male + Female) pigeon weight loss/g.

Dietary Energy/Protein Ratio Affected the Reproductive Performance of Breeding Pigeons

The interaction of dietary ME levels and CP levels had a significant effect on breeding pigeons' reproductive performance during the lactation period. The CP level positively correlated with the laying rate during the lactation period. The shortest average laying interval and the highest laying rate were observed at a CP rate of 18% (P < 0.01). The best reproductive performance was observed in groups 9 (17% CP, 13.0 MJ/kg) and 10 (18% CP, 12.6 MJ/kg) (P < 0.01), followed by group 11 (18% CP, 12.8 MJ/kg) (Table 3). In other words, the breeding efficiency can be improved when the ratio of energy/protein of 18.22 kcal/g and 16.72 kcal/g, followed by 17.00 kcal/g.

Table 3.

Effect of dietary energy/protein ratios on the reproductive performance of breeding pigeons during lactation in summer.

Treatments (n = 8) CP/% ME/MJ/kg Average laying interval/d Average egg weight/g Fertility rate/% Hatchability/% Average birth weight/g 45-day laying rate/% 50-day laying rate/% 55-day laying rate/%
I 15 12.6 50.150ABC 22.993 91.706 88.060 14.680 12.500 37.499CD 68.749
II 15 12.8 50.670ABC 23.596 89.029 86.078 15.152 12.501 39.581CD 77.082
III 15 13.0 50.596ABC 24.759 86.285 78.959 14.642 12.500 41.668CD 79.166
IV 16 12.6 51.883AB 24.413 86.001 86.001 15.765 8.335 27.084D 72.916
V 16 12.8 50.018ABC 24.057 96.825 96.825 14.902 12.500 54.169BC 77.081
VI 16 13.0 52.271AB 22.722 94.463 84.444 14.851 10.416 33.334CD 70.834
VII 17 12.6 52.775A 22.662 96.875 94.236 14.703 6.250 22.918D 64.582
VIII 17 12.8 50.621ABC 23.268 97.500 88.750 14.867 17.085 40.832CD 72.500
IX 17 13.0 48.020C 23.054 96.086 89.960 14.877 20.834 81.249A 95.833
X 18 12.6 47.696C 22.677 92.103 84.504 14.742 15.416 77.915A 88.749
XI 18 12.8 49.121BC 23.383 92.311 90.923 14.879 23.334 73.749AB 78.332
XII 18 13.0 49.175BC 23.848 96.875 92.266 15.560 23.750 55.000BC 87.500
SEM 0.309 0.210 1.029 1.247 0.076 1.610 2.823 2.096
Main effect
CP (n = 24) 15% 50.472A 23.782 89.007 84.365 14.825 12.500 39.583B 74.999
16% 51.391A 23.731 92.430 89.090 15.173 10.417 38.195B 73.610
17% 50.472A 22.995 96.820 90.982 14.816 14.723 48.333B 77.638
18% 48.664B 23.303 93.763 89.231 15.060 20.833 68.888A 84.860
ME (n = 32) 12.6 MJ/kg 50.626 23.186 91.671 88.200 14.972 10.625 41.354 73.749
12.8 MJ/kg 50.108 23.576 93.916 90.644 14.950 16.355 52.083 76.249
13.0 MJ/kg 50.016 23.596 93.428 86.407 14.982 16.875 52.813 83.333
P values CP 0.010 0.492 0.058 0.268 0.985 0.126 <0.001 0.211
ME 0.644 0.679 0.632 0.371 0.236 0.218 0.061 0.139
C*M 0.008 0.527 0.178 0.232 0.091 0.432 <0.001 0.094
A-D

Different superscript capital letters indicate extremely significant differences (P < 0.01), n = 8/group; C*M CP × ME.

Dietary Energy/Protein Ratio Affected the Egg Quality of Breeding Pigeons

Quality test results of the second breeding cycle of eggs laid by breeding pigeons after the start of lactation are shown in Table 4, which showed that CP and ME levels had little effect on the egg quality of breeding pigeons in summer (P > 0.05), and there was no significant interaction between CP and ME on their effect on egg quality (P > 0.05).

Table 4.

Effect of dietary energy/protein ratios on egg production quality of breeding pigeons during lactation in summer.

Treatments (n = 8) CP/% ME/MJ/kg Egg weight/g Relative yolk weight/g Relative shell weight/g Egg shape index Shell strength/Pa Shell thickness/mm Haugh unit
I 15 12.6 23.024 4.510 1.640 1.378 11.014 0.223 76.306
II 15 12.8 23.396 4.468 1.615 1.399 10.126 0.224 75.982
III 15 13.0 22.848 4.428 1.579 1.383 10.606 0.220 78.400
IV 16 12.6 24.432 4.482 1.679 1.468 10.786 0.222 77.433
V 16 12.8 23.404 4.457 1.596 1.392 10.196 0.220 76.194
VI 16 13.0 23.336 4.356 1.638 1.395 10.899 0.227 76.910
VII 17 12.6 22.520 4.348 1.585 1.486 11.210 0.225 75.418
VIII 17 12.8 23.652 4.486 1.631 1.375 10.168 0.219 77.852
IX 17 13.0 23.540 4.612 1.622 1.379 10.978 0.216 76.535
X 18 12.6 22.248 4.424 1.546 1.391 11.042 0.213 76.763
XI 18 12.8 23.404 4.558 1.619 1.388 11.419 0.219 77.040
XII 18 13.0 23.560 4.617 1.624 1.390 11.397 0.220 77.112
SEM 0.130 0.031 0.009 0.003 0.115 0.001 0.529
Main effect
CP (n = 24) 15% 23.089 4.469 1.611 1.387 10.582 0.222 76.896
16% 23.724 4.431 1.638 1.418 10.627 0.223 76.846
17% 23.237 4.482 1.613 1.447 10.785 0.220 76.601
18% 23.071 4.533 1.596 1.390 11.286 0.217 76.971
ME (n = 32) 12.6 MJ/kg 23.056 4.441 1.613 1.431 11.013 0.221 76.480
12.8 MJ/kg 23.464 4.492 1.615 1.388 10.477 0.220 76.767
13.0 MJ/kg 23.321 4.503 1.616 1.437 10.970 0.221 77.239
P values CP 0.241 0.281 0.477 0.797 0.118 0.302 0.968
ME 0.422 0.278 0.990 0.147 0.106 0.944 0.539
C*M 0.090 0.311 0.310 0.689 0.200 0.433 0.699

The absence of superscript letters in the same row of data indicates that the difference is not significant (P > 0.05), n = 8/group; C*M CP × ME.

Dietary Energy/Protein Ratio Affected the Growth Performance of Squabs

Figure 1 shows the survival rates of the squabs during the whole experimental period. The survival rate of squabs in all groups during the lactation period decreased with an increase in age, but CP and ME levels had little effect on this phenomenon (P > 0.05). There was no significant interaction between CP and ME on their effect on the survival rates of the squabs (P > 0.05).

Figure 1.

Figure 1

Full-term survival curve of pigeon squabs in different energy/protein ratios diet groups. The treatment groups on the right were ranked according to the squab survival rate at the end of the experiment.

In the early and middle growth stages (1–14 d), squab weight and average litter weight increased and then decreased with a further increase in CP levels. The fastest growth rate was observed at a CP content of 16% (P < 0.01). In the later growth stage (14–21 d), 18% CP was the optimal proportion for the nutritional needs of the squabs (P < 0.01). The ME level only affected the early growth stages of the squab (1–7 d), and the highest weight gain was observed at 12.8 MJ/kg (P < 0.05). The interaction between CP and ME had a significant effect on squab growth, and the highest squab weight gain (P < 0.01) during the lactation period was observed in groups 5 (17% CP, 13.0 MJ/kg) and 11 (18% CP, 12.8 MJ/kg). The average feed intake of breeding pigeons increased significantly (P < 0.01) with CP levels and a decrease in ME levels. Group 1 (15% CP, 12.6 MJ/kg) had the highest feed intake during the whole study period (P < 0.01). Combining with the litter weight gain of the squabs, we found that group 5 (16% CP, 12.8 MJ/kg) with energy/protein ratio of 19.09 kcal/g had the lowest full-term F/G and the highest production benefit (P < 0.01) (Table 5).

Table 5.

Effect of dietary energy/protein ratios on the growth performance of squabs in summer.

Treatments (n = 8) CP/% ME/MJ/kg 0-day SW/g 7-day SW/g 14-day SW/g 21-day SW/g 0-day LW/g 7-day LW/g 14-day LW/g 21-day LW/g Total feed intake/g First week F/G Second week F/G Third week F/G Full-term F/G
I 15 12.6 16.037 105.526BC 243.316ABC 351.234AB 64.149 422.666CD 964.282AB 1400.532A 3727.765A 1.487DE 2.503CD 3.957DEF 2.740BCD
II 15 12.8 15.790 108.341B 231.666CDE 277.831F 63.159 435.918BC 937.015BCD 1135.606E 3370.025CD 1.633BCD 2.837ABC 6.620A 3.147A
III 15 13.0 16.135 98.989C 222.769E 287.684EF 64.534 396.794D 889.843D 1175.340DE 3082.219E 1.523CDE 2.565CD 5.144BC 2.784BC
IV 16 12.6 15.933 103.310BC 248.335AB 326.999CD 63.726 408.135CD 996.613AB 1308.000BC 3481.571ABC 1.810A 2.328D 5.308BC 2.814BC
V 16 12.8 16.124 116.981A 251.740A 352.593A 64.498 474.913A 1007.270A 1413.779A 3115.514E 1.369E 2.432D 3.445EF 2.311E
VI 16 13.0 16.237 114.629AB 249.633A 322.917D 64.948 462.066AB 996.590AB 1297.692C 3162.103DE 1.569CD 2.342D 4.596CD 2.565D
VII 17 12.6 16.064 100.134C 232.767BCDE 289.662EF 64.259 405.000CD 938.550BCD 1170.774DE 3204.474DE 1.736AB 2.443D 5.881AB 2.901B
VIII 17 12.8 16.126 103.616BC 224.261DE 302.463E 64.500 418.435CD 894.975CD 1217.481D 3089.408E 1.668ABC 2.691BCD 4.270CDE 2.688BCD
IX 17 13.0 16.173 99.319C 238.958ABCD 331.998BCD 64.693 395.244D 958.450ABC 1323.750BC 3502.365ABC 1.483DE 2.484CD 4.528CD 2.783BC
X 18 12.6 16.036 100.503BC 221.541E 323.387D 64.136 403.925CD 895.406CD 1316.762BC 3628.470AB 1.597BCD 3.064A 3.818DE 2.900B
XI 18 12.8 16.059 104.411BC 224.679DE 352.049A 64.231 417.543CD 894.933CD 1422.587A 3584.260ABC 1.664ABC 3.047AB 3.173F 2.640CD
XII 18 13.0 16.228 103.389BC 218.069E 344.090ABC 64.900 413.554CD 872.271D 1372.329AB 3399.979BCD 1.552CD 3.044AB 3.039F 2.605CD
SEM 0.171 3.967 7.968 12.397 0.043 0.959 1.952 3.255 32.923 0.019 0.045 0.150 0.029
Main effect
CP (n = 24) 15% 15.988 104.285B 232.584B 305.584B 63.947 418.459B 930.379B 1237.159B 3393.336AB 1.548 2.635B 5.240A 2.890A
16% 16.098 111.640A 249.903A 334.170A 64.390 448.4371A 1000.157A 1339.824A 3253.063B 1.583 2.367C 4.450B 2.563C
17% 16.121 101.023B 231.995B 308.041B 64.484 406.226B 930.658B 1237.335B 3265.415B 1.629 2.539BC 4.893AB 2.791AB
18% 16.108 102.767B 221.430C 339.842A 64.423 411.674B 887.537C 1370.560A 3537.570A 1.604 3.052A 3.343B 2.715B
ME (n = 32) 12.6 MJ/kg 16.018 102.368b 236.490 322.821 64.068 409.931B 948.713 1299.0167 3510.570A 1.658A 2.584 4.741 2.839A
12.8 MJ/kg 16.025 108.337a 233.087 321.234 64.097 436.702A 933.548 1297.363 3289.802B 1.583AB 2.752 5.377 2.696B
13.0 MJ/kg 16.193 104.081b 232.357 321.672 64.768 416.914B 929.288 1292.278 3286.666B 1.532B 2.609 4.327 2.684B
P values CP 0.689 <0.001 <0.001 <0.001 0.684 <0.001 <0.001 <0.001 <0.001 0.346 <0.001 <0.001 <0.001
ME 0.183 0.012 0.553 0.948 0.183 0.004 0.478 0.932 0.001 0.009 0.148 0.258 0.009
C*M 0.747 <0.001 <0.001 <0.001 0.745 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.001 <0.001
a-b

Different superscript lowercase letters in the data of the same row indicate significant differences (P < 0.05), and A-Fdifferent superscript capital letters indicate extremely significant differences (P < 0.01), n = 8/group; C*M CP × ME; SW, squab weight; LW, average litter weight; F/G, feed-to-gain ratio.

Dietary Energy/Protein Ratio Affected the Slaughter Performance of Squabs

Both ME and CP levels significantly affected the slaughter performance of squabs, and the semieviscerated weight, eviscerated weight, and heart weight of the squabs decreased with an increase in ME level (P < 0.05). Compared with other CP levels, the slaughter weight, semieviscerated weight, eviscerated weight, abdominal fat, and gizzard weights were significantly high at 18% CP level (P < 0.05). The interaction between ME and CP significantly affected the slaughter weight, semieviscerated weight, eviscerated weight, pectoral muscle weight, abdominal fat, gizzard, and kidney weights. Group 11 (18% CP, 12.8 MJ/kg) with an energy/protein ratio of 17.00 kcal/g had the best body fat and organ development (P < 0.05) (Table 6).

Table 6.

Effect of dietary energy/protein ratios on the slaughter performance of squabs in summer.

Treatments (n = 24) CP/% ME/MJ/kg Live body weight/g Slaughter weight/g Semieviscerated weight/g Eviscerated weight/g Pectoral muscle weight/g Abdominal fat/g Liver/g Spleen/g Thymus/g Pancreas/g Glandular stomach/g Gizzard/g Kidney/g Bursa/g Heart/g
I 15 12.6 369.688AB 289.858ab 168.863AB 103.046AB 26.507ab 1.538b 12.150 0.383 0.932 2.276 1.253 6.504ABC 2.566c 0.493AB 3.315A
II 15 12.8 301.225E 246.220c 140.515D 82.906D 19.857c 1.688ab 10.498 0.297 0.827 2.029 1.228 6.108CD 2.871abc 0.285C 2.718BC
III 15 13.0 301.068E 242.827c 144.043CD 84.931CD 23.211abc 1.680ab 10.693 0.311 1.178 2.104 1.196 5.694CD 2.852abc 0.373BC 2.619C
IV 16 12.6 309.458DE 253.233bc 152.304ABCD 93.241ABCD 24.062abc 2.573a 11.289 0.293 1.167 2.185 1.103 5.683CD 2.742abc 0.323C 2.767BC
V 16 12.8 334.000BCD 272.171ab 155.913ABCD 98.410ABC 21.904abc 1.718ab 11.683 0.404 0.965 2.186 1.221 5.843CD 2.549c 0.533A 2.982AB
VI 16 13.0 309.300DE 261.105bc 143.213CD 84.439CD 19.077c 1.907ab 10.001 0.369 0.747 2.094 1.111 5.424D 2.571bc 0.324C 2.702BC
VII 17 12.6 343.591ABCD 278.518ab 160.291ABC 100.977AB 25.525ab 1.936ab 11.144 0.321 1.435 2.522 1.270 6.186BC 3.151a 0.376BC 2.859BC
VIII 17 12.8 329.100BCDE 261.725bc 147.820BCD 89.794BCD 23.276abc 2.102ab 10.006 0.289 1.247 2.143 1.288 6.089CD 3.033abc 0.380BC 2.623C
IX 17 13.0 325.350CDE 274.135abc 151.530ABCD 91.752ABCD 21.735bc 1.862ab 10.717 0.306 0.488 2.116 1.238 6.005CD 2.594bc 0.331C 2.778BC
X 18 12.6 336.238BCD 279.357ab 165.656A 104.814A 23.568abc 2.341ab 11.473 0.332 0.824 2.266 1.178 6.207BC 2.609abc 0.345C 2.975BC
XI 18 12.8 360.700ABC 287.400ab 169.811AB 103.807A 27.849a 2.556a 11.416 0.331 1.258 2.459 1.306 7.078A 3.106ab 0.54BC 2.796BC
XII 18 13.0 383.700A 295.775a 161.720ABC 99.531AB 25.871ab 2.263ab 10.789 0.297 1.356 2.278 1.361 6.848AB 2.994abc 0.418BC 2.912BC
SEM 3.823 3.020 1.870 1.469 0.535 0.087 0.149 0.009 0.045 0.037 0.021 0.072 0.050 0.015 0.035
Main effect
CP (n = 72) 15% 323.008B 259.020B 150.397b 90.294b 23.043 1.651b 10.993 0.328 0.984 2.133 1.248 6.150B 2.739 0.390 2.904
16% 323.933B 267.085B 150.154b 92.029b 22.331 2.239a 11.159 0.363 1.026 2.164 1.146 5.756C 2.650 0.410 2.836
17% 334.050B 272.552B 153.797b 94.174b 23.653 1.969ab 10.669 0.307 1.072 2.260 1.274 6.118BC 2.927 0.365 2.763
18% 361.733A 288.753A 165.397a 102.717a 25.976 2.386a 11.263 0.322 1.155 2.338 1.287 6.724A 2.903 0.372 2.900
ME (n = 96) 12.6 MJ/kg 343.325 278.309 163.459A 100.519A 25.296 2.184 11.638A 0.339 1.137 2.306 1.229 6.224 2.786 0.393 2.990a
12.8 MJ/kg 333.919 268.786 153.630B 93.729ab 23.520 2.058 10.881B 0.331 1.098 2.204 1.252 6.300 2.877 0.398 2.801b
13.0 MJ/kg 329.800 268.463 149.960B 90.163b 22.436 1.942 10.544B 0.319 0.942 2.161 1.236 6.037 2.751 0.362 2.760b
P values CP <0.001 0.003 0.019 0.011 0.079 0.014 0.504 0.168 0.517 0.179 0.065 <0.001 0.141 0.695 0.407
ME 0.280 0.290 0.008 0.011 0.080 0.509 0.009 0.674 0.134 0.248 0.895 0.266 0.558 0.542 0.013
C*M <0.001 0.020 0.004 0.003 0.021 0.050 0.073 0.163 0.661 0.217 0.406 <0.001 0.027 0.003 0.001
a-c

Different superscript lowercase letters in the data of the same row indicate significant differences (P < 0.05), and A-Edifferent superscript capital letters indicate extremely significant differences (P < 0.01), n = 24/group; C*M CP × ME.

Dietary Energy/Protein Ratio Affected the Meat Physiochemical Quality of Slaughtered Squabs

Both ME and CP levels also had a significant effect on the physicochemical traits of the pectoral muscle of the squabs. Furthermore, there was a strong interaction between ME and CP levels regarding the meat quality of the pectoral muscle of the squabs. Overall, 18% CP affected the meat color the most (lightness L, redness a, yellowness b) at 45 min and pH after slaughter (P < 0.01). The lowest pH after 24 h was observed in the 12.8 MJ/kg group (P < 0.05) (Table 7).

Table 7.

Effect of dietary energy/protein ratios on the meat quality of squabs in summer.

Treatments (n = 24) CP/% ME/MJ/kg 45-min L 45-min a 45-min b pH 45 min pH 24 h Drip loss/%
I 15 12.6 41.614CD 9.995ABC 8.881ABCD 6.223A 5.822ABCD 1.989ab
II 15 12.8 42.674CD 10.068AB 8.961ABC 6.156A 5.787CD 1.660ab
III 15 13.0 47.775A 9.157BCD 9.256AB 6.189A 5.932AB 2.214a
IV 16 12.6 42.919CD 9.170BCD 8.417ABC 6.118AB 5.946A 1.736ab
V 16 12.8 41.535CD 11.276A 9.814A 6.287A 5.878ABCD 2.014a
VI 16 13.0 42.557CD 9.553ABCD 8.080ABCD 6.172A 5.862ABC 1.255b
VII 17 12.6 44.351BC 8.446BCD 7.014D 5.980BC 5.800BCD 2.077a
VIII 17 12.8 46.386AB 8.148CD 8.698ABC 6.096ABC 5.938A 1.603ab
IX 17 13.0 42.933CD 8.663BCD 7.274CD 6.237A 5.821A 1.250b
X 18 12.6 44.100BCD 8.110D 7.518CD 6.118AB 5.848ABCD 1.525ab
XI 18 12.8 42.458D 8.617BCD 7.010BCD 5.955C 5.721D 1.548ab
XII 18 13.0 43.874BCD 8.429BCD 6.983CD 6.114AB 5.850ABCD 1.586ab
SEM 0.284 0.131 0.139 0.015 0.013 0.061
Main effect
CP (n = 72) 15% 44.129a 9.728A 9.002A 6.201A 5.851ab 1.954
16% 42.462b 9.806A 8.677A 6.183A 5.883a 1.669
17% 44.620a 8.396B 7.575B 6.108B 5.894a 1.643
18% 43.419ab 8.351B 7.070B 6.064B 5.801b 1.666
ME (n = 96) 12.6 MJ/kg 43.398 8.864 7.809b 6.122 5.854ab 1.832
12.8 MJ/kg 43.257 9.410 8.528a 6.114 5.820b 1.706
13.0 MJ/kg 44.318 8.936 7.905b 6.181 5.898a 1.661
P values CP 0.026 <0.001 <0.001 0.003 0.031 0.155
ME 0.209 0.145 0.048 0.121 0.034 0.280
C*M <0.001 <0.001 <0.001 <0.001 0.001 0.039
a-b

Different superscript lowercase letters in the data of the same row indicate significant differences (P < 0.05), and A-Ddifferent superscript capital letters indicate extremely significant differences (P < 0.01), n = 24/group; C*M CP × ME; L stands for brightness; a stands for redness; b stands for yellowness.

Further investigation revealed that the ME level had a significant effect on the tissue biological properties of muscle fiber in pigeons, especially in the 12.8 MJ/kg group, which had the smallest cross-sectional area and diameter of muscle fiber (P < 0.01) and the highest muscle fiber density (P < 0.01) (Table 8). As shown in Figure 2, there was also a significant interaction between ME and CP levels. Compared to the other test groups, test group 11 (18% CP, 12.8 MJ/kg) significantly increased the muscle fiber density and decreased the cross-sectional area of pectoral muscle fibers (P < 0.01). Therefore, 18% CP and 12.8 MJ/kg was the optimal combination to improve the quality of pigeon breast with a corresponding energy/protein ratio of 17.00 kcal/g.

Table 8.

Effect of dietary energy/protein ratios on the muscle fiber characteristics of squabs in summer.

Treatments (n = 12) CP/% ME/MJ/kg Muscle fiber area/μm2 Muscle fiber diameter/μm Muscle fiber density/n*mm−2
I 15 12.6 336.134A 20.455A 2108.333D
II 15 12.8 242.099DE 17.167DE 3358.333A
III 15 13.0 257.148CDE 17.644CDE 2983.333AB
IV 16 12.6 277.801BCD 18.391BCD 2358.333BCD
V 16 12.8 238.056DE 17.135DE 2808.333ABC
VI 16 13.0 273.971BCD 18.390BCD 2891.667ABC
VII 17 12.6 247.163CDE 17.549CDE 3100.000A
VIII 17 12.8 258.318CDE 17.775CDE 3225.000A
IX 17 13.0 259.244CDE 18.023BCD 2850.000ABC
X 18 12.6 281.403ABCD 18.550ABCD 2300.000CD
XI 18 12.8 208.752E 15.920E 3433.333A
XII 18 13.0 302.236ABC 19.294ABC 2000.000D
SEM 6.179 0.214 76.632
Main effect
CP (n = 36) 15% 278.461 18.422 2816.667
16% 263.276 17.972 2686.111
17% 254.908 17.782 3058.333
18% 264.130 17.921 2577.778
ME (n = 48) 12.6 MJ/kg 285.625A 18.736A 2466.667B
12.8 MJ/kg 236.806B 16.999B 3206.250A
13.0 MJ/kg 273.149A 18.338A 2681.250B
P values CP 0.551 0.701 0.084
ME 0.002 0.002 <0.001
C*M 0.004 0.004 <0.001
A-E

Different superscript capital letters indicate extremely significant differences (P < 0.01), n = 12/group;C*M CP × ME.

Figure 2.

Figure 2

Effect of dietary energy/protein ratio on the muscle fiber development of slaughter squabs (400×). The Roman numerals I to XII at the top left of the image represent different processing groups.

Regression Models to Estimate the Dietary Energy/Protein Ratio Requirements of Breeding Pigeons

The 1 to 21-day ADG, slaughter rate, drip loss, the 50-day laying rate, total weight loss of the breeding pigeons, average laying interval, and full-term F/G all showed significant quadratic curve changes with the change of energy/protein ratio level in the dietary. As shown in Table 9, the optimal energy/protein ratio for lactating breeding pigeons in summer varies according to different indices. For the slaughter rate and F/G of squabs, the optimal dietary energy/protein ratio was 17.919 to 19.020 kcal/g; for the laying period and weight recovery after lactation, the optimal dietary energy/protein ratio for breeding pigeons was 16.720 kcal/g.

Table 9.

Regression analysis of dietary energy/protein ratio requirements for lactating pigeons.

Items Regression model Coefficient (R2) P value Dietary energy/protein ratio additive amount/(kcal/g)
Pigeon squabs 1–21-day ADG /g y = 21.235 − 0.319x 0.068 0.010 17.919 (max)
y = −0.203x2 + 7.275x − 49.465 0.081 0.007
Slaughter rate/% y = 75.591 + 0.294x 0.004 0.308 19.020 (max)
y = −0.510x2 + 19.400x − 102.379 0.012 0.094
Drip loss/% y = 0.066 + 0.001x 0.008 0.749 19.188 (min)
y = 0.008x2 − 0.307x + 2.945 0.009 0.129
The 50-day laying rate/% y = 186.834 − 7.418x 0.122 <0.001 19.665 (min)
y = 3.877x2 − 152.482x + 1537.245 0.161 <0.001
Total heavy loss of breeding pigeons/g y = 40.410 + 7.417x 0.057 0.019 19.731 (max)
y = −3.622x2 + 142.930x − 1221.90 0.054 0.029
Average laying interval/d y = 41.461 + 0.473x 0.040 0.049 19.289 (max)
y = −0.407x2 + 15.701x − 100.290 0.056 0.025
Full-term F/G y = 2.403 + 0.018x 0.007 0.424 18.404 (min)
y = 0.057x2 − 2.098x + 22.102 0.066 0.016

DISCUSSION

Appropriate levels of ME and CP ensure the nutritional quality of the diet and have important implications for promoting poultry growth and development, immune function, and reproduction of offspring (Ye et al., 2015). Lesuisse et al. (2017, 2018) obtained a higher energy/protein ratio by reducing the CP level in the diet, which resulted in a higher body fat ratio during the actual production of breeding pigeons. And such a higher body fat amount obtained by consuming less CP may be detrimental to the breeder's productive performance (Heijmans et al., 2021). If the energy/protein ratio of the dietary is not balanced, it will directly affect the growth and reproductive performance of breeding pigeons. Herein, we first evaluated the effects of different energy/protein levels on the growth and reproductive performance, “crop milk” quality, and egg quality of breeding pigeons. We found that as the dietary CP level increased to 18%, the weight loss amount of breeding pigeons in the lactation period decreased significantly, which is consistent with previous results by Gao et al. (2016a) and Chen et al. (2016). ME level had no significant effect on the weight of the breeding pigeon, but there was a significant interaction between ME and CP on their effect on breeding pigeon weight and reproductive production. Notably, high ME in the diet but low CP levels (15–16%) caused weight loss in breeding pigeons, while high CP levels (17–18%) caused the opposite effect. This means that a very high or too low energy/protein ratio reduces the production performance of breeding pigeons. Also, high CP levels significantly shortened the average egg-laying interval during the lactation period and positively correlated with the laying rate of breeding pigeons, which is consistent with Gao et al. (2016a) and Ding et al. (2016) findings. However, too high CP levels in actual production tend to deposit too much body fat in breeders, which prolong the egg-laying interval of female breeders and even cause difficulties in the emergence of offspring, etc. (Costantini, 2010; Ding et al., 2016; Kriseldi et al., 2018). Test group 12 (18% CP, 13.0 MJ/kg), which had the lowest weight loss during lactation, did not perform as well as group 9 (17% CP, 13.0 MJ/kg) and group 10 (18% CP, 12.6 MJ/kg) in reproductive production. This study also revealed that test group 12 (18% CP, 13.0 MJ/kg), which had the lowest weight loss during lactation, did not perform as well as group 9 (17% CP, 13.0 MJ/kg) and group 10 (18% CP, 12.6 MJ/kg) in reproductive production. It has been found that changes in the composition of breeder diet formulations may affect nutrient deposition in eggs (Junqueira et al., 2006). In the present study, we found no significant effect of the interaction of CP and ME levels in breeding pigeon diets on egg quality, including mean egg weight, egg shape index, and yolk weight, among others. Similar studies have also observed in laying hens that dietary energy/protein ratios do not affect yolk weight, Haugh unit, or shell thickness (Ding et al., 2016; Heijmans et al., 2022). Therefore, an appropriate level of energy/protein ratio in the diet will be more favorable to the best weight recovery of pigeons after the lactation period, thus optimizing reproductive efficiency could achieve sustainable pigeon farming.

Given that squabs are the main source of meat in the pigeon market, the fundamental objective of the research on the energy/protein ratio requirements of lactating breeding pigeons is also to improve the survival rate and slaughter performance of squabs. Furthermore, a reasonable energy/protein ratio can also optimize the F/G to reduce production costs and maximize the output (Hu, 2016; Wang, 2018). A poor combination of protein and energy levels also affects the quality of “crop milk” from the breeding pigeon, which in turn affects the growth and development of the squabs (Gillespie et al., 2013; Fouad and El-Senousey, 2014; Gao et al., 2016b). The market weight and F/G of squabs are also the most intuitive indicators to examine the feasibility of the ration formula and the feeding effect. In this study, we found that CP and ME levels had little effect on the mortality of squabs in summer, but there was a strong interaction between ME and CP levels on their effect on the body weight and F/G of squabs. Among them, dietary ME level only influenced the feeding and body weight gain in the early growth stage of the squabs, and increasing ME level reduced feed intake. This could be due to the actual nutrient intake and feed utilization efficiency increased with an increase in the dietary nutrient concentration, which is consistent with a previous study (Sahin et al., 2003). However, we also found that the growth rate of squabs in the early growth stage showed a tendency to increase and then decrease as the ME level increased, which means that too high a level of ME in the diet can have a negative effect. Studies have shown that increasing the protein level in the diet can significantly improve feed utilization efficiency (Liu et al., 2005; Wu et al., 2005). In contrast, in the present study, we found that the optimal CP level for squabs was not the same in different growth stages. In the first and middle growth stages (1–14 d), the fastest growth rate of the squabs occurred at 16% CP level, while F/G was the lowest. In the later growth stage (14–21 d), 18% CP was optimal for weight gain and feed efficiency rate of the squabs. Based on this, we recommend that when we go on to further study the nutritional requirements of squabs, perhaps we can break down the lactation period to explore it in stages.

Slaughter performance is an important indicator of the growth performance of meat poultry, which reflects the differences in the number of nutrients deposited in different tissue parts of the diet (Chen et al., 2017). It is also an important reference indicator to evaluate the feeding management status and nutritional status of meat pigeons. These indicators clearly reflect the growth and development of squabs, while helping to better improve production efficiency. In terms of poultry slaughter performance, dietary ME levels can have a significant effect on abdominal fat deposition, while diets with higher levels of CP are more favorable for the growth of breast muscle (Cao et al., 2014). In mammals, differences in CP levels in parental diets can affect the organ or tissue quality of offspring by influencing protein or amino acid levels in milk (Wang, 2011), and a similar pattern may exist in domestic pigeons. Similar to this result, our results showed that with the change in ME and CP levels, the differences in pectoral muscle weight, abdominal fat, and organ weight between the groups of squabs were significant. High CP levels significantly improved carcass quality and the development of digestive-related organs such as the gizzard weight in squabs. High ME levels exerted the opposite effect. It is manifested in the reduction of eviscerated weight and the development of vital organs such as the heart and liver. The abdominal fat ratio is also an important indicator of lipid deposition (Zhang et al., 2022). In general, when animals consume diets with high CP levels, the bodies need to consume more energy to drive the excretion of nitrogen, which disrupts the deposition of excess fats (Wang et al., 2021). Rozenboim et al. (2016) also showed that the abdominal fat rate of broiler chickens increased with increasing dietary energy level and decreased with increasing dietary CP levels within a certain range. The present study revealed conflicting findings, in which the abdominal fat content of squabs increased with increasing CP levels. It may be necessary to explain this phenomenon further based on serum biochemical indices in squabs.

Meat physiochemical quality of squabs is also closely related to the nutritional level of the diet, and appropriate dietary energy and protein levels significantly improve the meat quality of domestic poultry (Shi et al., 2009; Lin et al., 2020). The quality of muscle is usually reflected in the meat color, pH, and drip loss. Among them, meat color is the most visual indicator of physiological and biochemical changes in muscle. Muscle brightness values are influenced by the myoglobin and fat deposition content of the muscle, with red values reflecting the myoglobin content and yellow values reflecting the influence of ration pigments (Mir et al., 2017). Many previous studies on the assessment of pectoral muscle meat color have shown that the smaller the L value, the larger the a value, and the smaller the b value, the better the muscle quality and vice versa (Sun, 2004; Wu et al., 2018; Wen et al., 2020). pH is an important index of muscle quality and can affect muscle color and tethering power. The lower the drip loss, the higher the turgidity and tenderness of the muscle (Zhang et al., 2015; Bernad et al., 2018). Tang et al. (2007) showed that increasing the level of ME in the diet significantly increased the b value and the 24-h pH of broiler pectoral muscle and decreased the drip loss rate of the muscle. In this experiment, the b value and the 24h pH of the pigeon pectoral muscle increased and then decreased with an increase in the ME level. This indicated that the dietary ME level should not be too high or too low, and 12.8 MJ/kg ME was the optimal ME level for the best quality pigeon meat. An increase in CP level significantly affected the 45 min meat color (L, a, b) and pH (45 min, 24 h) after slaughter. Generally, a high CP level had more beneficial than harmful to the overall pectoral muscle meat color. The histological properties of muscle fiber are the histological basis of meat quality and are a major indicator for assessing meat quality. Some studies have shown that as the diameter of muscle fibers increases, muscle tenderness decreases accordingly (Zhu et al., 2020). Therefore, the finer and denser the muscle fibers are, the more tender and juicy the meat will be, and Jackson et al. (1982) further showed that diets with high ME and high CP could improve muscle fiber density. This experiment also showed that the ME and CP levels of 12.8 MJ/kg and 18%, respectively, significantly increased the muscle fiber density and reduced the cross-sectional area of pectoral muscle fibers in squabs. This demonstrates that appropriate energy/protein ratio levels greatly improve the meat quality of squabs, which ensures better slaughter performance.

Finally, a linear regression analysis was performed to estimate the energy/protein ratio requirements in the lactation diets of breeding pigeons in summer “2 + 4” breeding pattern. The correlation coefficient (R2) between each index and the energy/protein ratio level in the diets was low. This could be the effect of different energy/protein ratios was a reciprocal effect between the combined two factors, resulting in a poorer mean of the data for each treatment group. The optimal requirements for the laying rate, average laying interval, and total weight loss of breeding pigeons were all negatively correlated with the optimal requirements for actual production. For example, the model equations for the laying rate only yielded minimum values. Therefore we can only infer the optimal requirement from the range of energy/protein ratios provided in this experiment. If the F/G is the primary objective, the recommended level of energy/protein ratio in the diet of breeding pigeons is 17.92 to 19.02 kcal/g; if the reproductive efficiency is the primary objective, then the recommended energy/protein ratio in the breeder's diet is 16.72 kcal/g.

CONCLUSIONS

The energy level in summer diet has little effect on the production of breeding pigeons during the lactation period, but the protein level significantly affects the reproductive performance of these birds. There is a strong interaction between energy and protein levels in pigeons. The best reproductive performance, the fastest growth of squabs, and better meat quality of pigeons in summer are achieved at 18% CP and 12.8 MJ/kg. Finally, the regression model revealed that the best dietary energy/protein ratio was 17.92 to 19.02 kcal/g for squabs and 16.72 kcal/g for the breeding pigeons. Therefore, 18% CP and 12.8 MJ/kg can be considered the best energy/protein ratio requirement for breeding pigeons in the lactation period under the summer “2 + 4” breeding pattern.

ACKNOWLEDGMENTS

We acknowledge Guangdong Meizhou Jinlv Modern Agriculture Development Co. Ltd. for providing us with the experimental site. This research was supported by Key Realm R&D Program of Guangdong Province (2020B0202080002), Guangdong Basic and Applied Basic Research Foundation (2021A1515012417), Innovative Team Projects of Ordinary Colleges and Universities in Guangdong Province (2020KCXTD019), Provincial-level agricultural technology innovation promotion and agricultural resources and ecological environmental protection construction projects (2021KJ115), Technical Service of Xingning Pigeon Industrial Park “Top ranking” project (D122222G902).

DISCLOSURES

We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, and there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the content of this paper.

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