Abstract
The objective of this study was to investigate the effects of dietary copper (Cu) on production, egg quality, and hatchability of Chinese Yellow broiler breeder hens and growth performance of their offspring. A total of 576 30-week-old hens were randomly allotted into 6 groups, each with 6 replicates (8 cages for each replicate with 2 birds per cage). The basal diet contained 3.50 mg/kg Cu, and the other 5 treatment diets contained 8.5, 13.5, 23.5 43.5, and 83.5 mg/kg Cu, respectively, additionally supplemented with Cu on the basal diet. The trial lasted for 15 wk. Qualified egg rate of birds fed 23.5 or 83.5 mg/kg Cu was significantly decreased (P < 0.05) compared with those given 3.5, 8.5, or 13.5 mg/kg Cu. Plasma malondialdehyde concentration showed quadratic effect (P = 0.002) which that decreased first then increased with dietary Cu increased. Highest values of Cu content and hepatic activity of Cu-ATPase occurred in hens fed 83.5 mg/kg dietary Cu with linear (P = 0.001) and quadratic (P = 0.001) effects. Shell strength and proportion on 18th day of live embryos of hens fed 13.5 mg/kg Cu were the greatest compared with other groups respectively (P < 0.05); rate of qualified eggs for hatch and hatchability of fertilized eggs of hens fed 83.5 mg/kg Cu were the least (P < 0.05). In conclusion, both inadequate (3.5 mg/kg diet) and excess (83.5 mg/kg) of dietary Cu can induce oxidative stress in hens and lead to decreased egg quality. Hatchability and growth performance of offspring were decreased when breeder hens were fed excess Cu in spite of greater hatching weight. The appropriate dietary Cu level for Chinese Yellow broiler breeder hens during the egg-laying period is 15.7 to 21.2 mg/kg (1.81–2.44 mg Cu fed per day) when based on Cu level and Cu-ATPase activity in the liver. This dietary Cu requirement is approximately doubled (∼40 mg/kg, ∼4.60 mg Cu per bird per day) for maximal response of eggshell thickness.
Key words: copper, Chinese Yellow breeder hen, oxidative stress, egg quality, reproductive performance
Introduction
Copper (Cu), an essential trace mineral nutrient for growth and development of animals, is involved in various physiological and biochemical processes. Feed supplementation of organic and inorganic Cu as a growth promoter for pigs or chickens has been documented in numerous studies (Gonzales-Eguia et al., 2009; Karimi et al., 2011; Dhama et al., 2014; Zhao et al., 2014). Copper plays an important role in development of the embryo, newborn, bone and connective tissues, and inflammatory processes (EDEC, 2003).
Biochemical processes are not properly completed when Cu is deficient (Kaya et al., 2010; Scheiber et al., 2014; Cao et al., 2016). Copper is an integral part of the important antioxidant enzyme Cu-Zn superoxide dismutase (Cu-ZnSOD). Copper-zinc superoxide dismutase is considered to be a good marker of Cu status (Gaetke and Chow, 2003). Restricting dietary Cu quickly impairs catalytic functioning of Cu-ZnSOD in numerous tissues (Harris, 1992). Copper-ATPase, known as ATPase Cu transporting protein consisting 2 isoforms: ATP7A and ATP7B (Minghetti et al., 2010), is an important ATPase that transports Cu across cellular membranes; it delivers Cu to cuproenzymes during their biosynthesis and exports Cu to maintain cellular homeostasis as a mechanism for protecting the cell from oxidative damage caused by excess Cu (Svetlana et al., 2007). Copper-ATPase exhibits Cu-dependent trafficking. In the presence of high levels of Cu, ATP7B relocates from the trans-Golgi network to the apical domain of hepatocytes, where it facilitates elimination of excess Cu into the bile (Braiterman et al., 2015). Antioxidant 1 Cu chaperone can transfer Cu to its destination molecules ATP7A/ATP7B (Dirksen et al., 2017).
Copper also plays an important role in the formation of the eggshell membrane, which then influences structure, texture, and shape of the eggshell (Baumgartner et al., 1978). The eggshell and its associated membranes contain high concentration of Cu (Baumgartner et al., 1978; Richards, 1997). Structure of the membrane, texture, shape, and pigments of eggshell, even egg weight can be influenced by a Cu-deficient diet (Baumgartner et al., 1978). It is noteworthy that the absolute amount of shell deposited by hens may not be affected by mineral deficiency, but egg size and thickness of shell may decrease (Roland et al., 1975; Favero et al., 2013).
Specific recommendations for Cu of broiler breeder hens were not included in the NRC (1994). Currently, the major information used by nutritionists to determine Cu concentrations in breeder diets was derived from primary broiler breeder manuals (Cobb-vantress, 2013; Aviagen, 2016), which specifically apply to fast-growing broiler breeder hens. Research on specific recommended amount of Cu in the diet of Chinese Yellow broiler breeder hens is lacking, despite China being the third largest producer of chickens, including approximately 4 billion per year Chinese Yellow, slower growing meat-type chickens.
High doses of Cu and zinc (Zn) were often used in diets of pigs because of their bactericidal effect (Dbski, 2016). Excessive Cu intake by adult birds caused accumulation of large amounts of Cu in the liver (Goldberg et al., 1956) where it results in production of reactive oxygen species (ROS) (Kadiiska et al., 1993). Trace elements such as Cu, iron, and Zn all have toxicity potential and ability to produce ROS, especially when they are at higher concentrations (Stohs and Bagchi, 1995; Valko et al., 2005). Their ability to cause metal-induced oxidative stress has been frequently studied in many organisms (Gaetke and Chow, 2003; Kim et al., 2009; Gou et al., 2018). Reduced glutathione (GSH), ratio of reduced to oxidized glutathione (GSH/GSSG), and superoxide dismutase serve as biomarkers reflecting oxidative stress in birds (Isaksson et al., 2005; Berglund et al., 2007; Koivula and Eeva, 2010).
The trace minerals are traditionally supplemented in feeds of birds by using inorganic sources, such as oxides or sulfates (Vieira, 2008). Gene expression or activity of Cu-ATPase in the liver or other tissues of hens may be affected by dietary Cu. The one objective was to evaluate Cu requirements of Chinese Yellow broiler breeder hens during egg-laying period. Meanwhile, negative effects of excess Cu used in animal production were also concerned. To achieve these goals, laying performance, biochemical indices, organic indexes and gene expression of Chinese Yellow breeder hens, and egg quality, hatchability, and growth performance of offsprings were measured in hens fed 6 levels of dietary Cu supplemented with Cu sulfate. The appropriate dietary Cu level of Chinese Yellow boiler breeder hens during the egg-laying period would be obtained.
Materials and methods
Chickens and Husbandry
Breeder Hens
A total of 576 27-week-old Chinese Yellow broiler breeder hens (Mahuang, an improved local breed, 2.09 ± 0.14 kg) were obtained from Guangdong Wiz Agricultural Science & Technology Co., Ltd. (Guangzhou, China). Birds were balanced for laying rate then randomly allotted into 6 groups, each consisting of 6 replicates (8 cages for each replicate with 2 birds per cage). All experimental methods conformed to guidelines established by the Guangdong Academy of Agricultural Sciences Institutional Animal Care and Use Committee. The breeder hens were under study for 15 wk until the trial was finished at 42 wk of age. All birds received 16 h of lighting daily from 06:00 am to 10:00 pm. Room temperature and humidity were recorded daily.
Offspring of Hens
During the last 2 wk of the hen trial, all breeder hens were artificially inseminated every 3 d with 30 μL pooled semen. Qualified eggs from each replicate were collected in the second wk and incubated under standard conditions for hatching. A total of 1,003 chicks were hatched. Chicks from hens fed 3.5, 8.5, 13.5, 23.5, 43.5, and 83.5 mg/kg Cu were used for corresponding treatments with the numbers of 145, 166, 187, 156, 160 and 145 respectively due to different hatchability and healthy hatchlings. Hatchlings from the same replicate of hens were likewise allotted to the same replicate in floor pens (1 replicate per pen with length 2.5 m × width 0.8 m) with wood shavings as litter. All experimental methods conformed to guidelines established by the Guangdong Academy of Agricultural Sciences Institutional Animal Care and Use Committee. The environmental room temperature reduced by 1°C every 2 d from 35°C to 25°C, and continuous artificial light was provided until the trial finished at 28 d of age.
Diets
Hens
The basal diet (Table 1) was formulated to meet or exceed the nutritional requirements of breeder hens (Ministry of Agriculture in China, 2004) with no added Cu (analyzed 3.50 mg/kg). Calcium and nonphytate phosphorus contents in the basal diet were 3.29 and 0.45%, respectively. Additional Cu as CuSO4 • 5H2O (Guangdong Newland Feed Science & Technology Co., Ltd., Guangzhou, China) was incorporated into the diets (0, 5, 10, 20, 40, and 80 mg Cu/kg of diet). All breeder hens received about 115 g mash diet (as needed, consistently increased or decreased by a few g based on egg production) every day and had ad libitum access to fresh water. Water was deionized to eliminate any possible source of Cu before drinking by breeder hens. The apparatus for removing Cu from water was bought from Guangzhou Chenxing Environmental Protection Technology Co., Ltd. (Guangzhou, China). Copper in water was absorbed by silica sand then further eliminated by ion exchange. All birds were fed the basal diet for 3 wk for partial depletion of Cu stored in the body then with the experimental diets for an additional 12 wk.
Table 1.
Ingredient, % | Value |
---|---|
Corn | 67.8 |
Wheat bran | 5.96 |
Soybean protein concentrate | 15.8 |
DL-Methionine | 0.28 |
Calcium carbonate (analytically pure) | 6.84 |
Dicalcium phosphate (food-grade) | 2.07 |
Salt (NaCl) | 0.25 |
Premix1 | 1.00 |
Nutritional level2 | |
ME, Kcal/kg | 2,748 |
CP, % | 16.3 |
Lysine, % | 0.80 |
Methionine + cysteine, % | 0.80 |
Calcium, % | 3.29 |
Nonphytate phosphorus, % | 0.45 |
Cu, mg/kg3 | 3.71 |
Cu, mg/kg4 | 3.50 |
Provided per kg of diet: vitamin A, 12,000 IU (transretinyl acetate); cholecalciferol, 2,500 IU; vitamin E, 30 IU (DL-α-tocopheryl acetate); vitamin K, 1.5 mg, thiamine, 2 mg; riboflavin, 10 mg; niacin, 30 mg; pantothenic acid, 10 mg; vitamin B6, 4 mg; folic acid, 1.1 mg; cobalamin, 0.01 mg; biotin, 0.15 mg; 50% choline chloride, 900 mg; FeSO4•H2O, 240 mg; ZnSO4•H2O, 209 mg; MnSO4•H2O, 283 mg; NaSeO3, 0.56 mg; Ca(IO3)2•H2O, 1.46 mg; ethoxyquin, 150 mg; calcium propanoate, 1.00 g; NaHCO3, 1.50 g; maize cob meal (carrier), 4.75 g.
Values were calculated based on the data presented in the Chinese feed database (Chinese feed database. 2018).
Calculated Cu content based on Cu analyses in corn, wheat bran, and soybean protein concentrate.
Copper was analyzed by atomic absorption spectrophotometry.
Chicks
The diet (Table 2) was formulated based on corn and soybean protein concentrate with no Cu added in the premix to meet the nutritional requirements of Chinese Yellow broilers (Ministry of Agriculture in China, 2004). The Cu content in the diet was 3.39 mg/kg (analyzed value). All birds were fed the same diet (pellets), and feed and water were supplied ad libitum.
Table 2.
Ingredient, % | Value |
---|---|
Corn | 65.3 |
Wheat bran | 4.50 |
Soybean protein concentrate | 22.8 |
DL-Methionine | 0.15 |
Calcium carbonate (analytically pure) | 1.00 |
Dicalcium phosphate (food-grade) | 2.13 |
Salt (NaCl) | 0.26 |
Maize cob meal | 2.86 |
Premix1 | 1.00 |
Nutritional level2 | |
ME, Kcal/kg | 2,883 |
CP, % | 20.7 |
Lysine, % | 1.11 |
Methionine + cysteine, % | 0.77 |
Calcium, % | 0.99 |
Nonphytate phosphorus, % | 0.45 |
Cu, mg/kg3 | 3.56 |
Cu, mg/kg4 | 3.39 |
Provided per kg of diet: vitamin A, 6,000 IU (transretinyl acetate); cholecalciferol, 500 IU; vitamin E, 20 IU (DL-α-tocopheryl acetate); vitamin K, 0.5 mg, thiamine, 3.8 mg; riboflavin, 4.0 mg; niacin, 42 mg; pantothenic acid, 10 mg; vitamin B6, 3.5 mg; folic acid, 0.55 mg; cobalamin, 0.01 mg; biotin, 0.15 mg; 50% choline chloride, 1,200 mg; FeSO4•H2O, 267 mg; ZnSO4•H2O, 218 mg; MnSO4•H2O, 189 mg; NaSeO3, 0.48 mg; Ca(IO3)2•H2O, 0.57 mg; ethoxyquin, 225 mg; calcium propanoate, 2.10 g; NaHCO3, 2.25 g; maize cob meal (carrier), 7.13 g.
Values were calculated based on the data presented in the Chinese feed database (Chinese feed database. 2018).
Calculated Cu content based on Cu analyses in corn, wheat bran, soybean protein concentrate and corn gluten meal.
Copper was analyzed by atomic absorption spectrophotometry.
Measurements
Laying Performance
Mortality was checked daily, and dead birds were recorded to adjust feed allowance, estimates of egg production and egg mass as appropriate. Number of total laid eggs, defective eggs (including those with double-yolk, soft-shell, cracked, very small, malformed, and so on), and total egg weight were recorded daily. At 42 wk of age (end of trial), egg laying rate, average egg weight, egg mass (egg weight of each breeder laid per day), and qualified egg rate (1 – total defective eggs/total eggs laid) were calculated. Qualified eggs met the criteria described by (Xu et al., 2010).
Sampling
Two birds, representative of average egg production in each replicate, were individually weighed, and 5 mL blood was sampled from the brachial vein into evacuated tubes containing EDTA-K2 (1 mg/mL blood). One milliliter of nonclotted blood was held to measure hemoglobin. The remainder (4 mL) was held on ice for < 1 h, then centrifuged at 860 × g for 15 min at 4°C, and plasma aliquots were kept at −80°C until analysis. The birds were electrically stunned and exsanguinated to obtain tissues. Ovarian and oviductal weights were weighed and recorded. Ovarian index (%) = 100 × ovarian weight/live weight, and oviductal index (%) = 100 × oviductal weight/live weight. Oviductal length was measured with a ruler. The number of dominant follicles with diameter greater than 8 mm was recorded. The tibia was dissected from the right leg, and its breaking strength was determined in an Instron Universal Testing Machine with a 50-kg-load cell at 50-kg-load range with a crosshead speed of 50 mm/min (Park et al., 2003).
Biochemical Indices in Blood
Hemoglobin in whole blood, malondialdehyde (MDA), GSH, GSSG, and Cu-ZnSOD in plasma was measured using MDA (thiobarbituric acid method), GSH (spectrophotometry), GSSG (spectrophotometry), and superoxide dismutase typed (hydroxylamine method) assay kits, respectively (Nanjing Jiancheng Bioengineering Institute, Nanjing, China).
Biochemical Indices in the Liver
The hepatic content of Cu and contents in the diets were analyzed by atomic absorption spectrophotometry (Shimadzu Corporation, Kyoto, Japan). Contents of MDA, GSH, and GSSG and activity of Cu-ZnSOD and Cu-ATPase in the liver were measured using MDA (thiobarbituric acid method), GSH (spectrophotometry), GSSG (spectrophotometry), superoxide dismutase typed (hydroxylamine method), and Cu-ATPase (colorimetry) assay kits, respectively (Nanjing Jiancheng Bioengineering Institute, Nanjing, China).
Quantitative RT-PCR
Total RNA from stroma of the ovary was prepared using TRIzol (Invitrogen, Carlsbad, CA) and adjusted to 500 ng/mL for all samples before synthesizing first-strand cDNA (Promega, Beijing, China). Specific transcripts (mRNA) were quantified by quantitative PCR with an ABI 7500 Real-time Detection System (Applied Biosystems, Foster, CA) using a SYBR Premix Ex Taq II kit (Takara, Dalian, China). The primers for antioxidant 1 Cu chaperone (Atox1), ATPase Cu transporting beta (Atp7b), cytochrome c oxidase Cu chaperone COX11 (Cox11), COX17 cytochrome c oxidase Cu chaperone (Cox17), Cu metabolism domain containing 1 (Commd1), cutC Cu transporter (Cutc), and the house-keeping gene β-actin (Table 3) were based on chicken sequences and were synthesized by Sangon Biological Engineering Co., Ltd. (Shanghai, China).
Table 3.
Gene name | Sequence | GenBank no. |
---|---|---|
Atox1 | f-5′- AGAAGACTGGAAAGAGCGCA-3′ | NM_001277712.1 |
r-5′- GCAGAGCAAGGTGGGAGATA-3′ | ||
Atp7b | f-5′- CTGATAACGGGCGACAACAG-3′ | XM_015276078.2 |
r-5′- GTCACCAACCATTGCAACCT-3′ | ||
Cox11 | f-5′- CGAGTTTGCAGAGGACCCTA-3′ | XM_001233972.5 |
r-5′- GTTTCACAGGTGGCAGTCAG-3′ | ||
Cox17 | f-5′- GACGCCTGCATCATTGAGAA-3′ | NM_001302169.1 |
r-5′- ATCTTGCTCACCCCACTCAT-3′ | ||
Commd1 | f-5′-CACTCCTGCCCTCTACAACA-3′ r-5′- GCCATCACCTGCGTCAATAG-3′ |
XR_003074663.1 |
Cutc | f-5′- GAGTTTCACTGCTCTGCTCG-3′ r-5′- AATGGCATTCAGGGTCCTCA-3′ |
NM_001006503.1 |
β-actin | f-5′-GAGAAATTGTGCGTGACATCA-3′ | L08165.1 |
r-5′-CCTGAACCTCTCATTGCCA-3′ |
Abbreviations: Atox1, Antioxidant 1 copper chaperone; Atp7b, ATPase copper transporting beta; Commd1, Copper metabolism domain containing 1; Cox11, Cytochrome c oxidase copper chaperone COX11; Cox17, COX17 cytochrome c oxidase copper chaperone; Cutc, cutC copper transporter; f, forward; r, reverse.
Egg Quality
At completion of feeding breeder hens the experimental diets (42 wk of age), 2 eggs per replicate, representative of the mean egg weight, were used to measure related indices of egg quality. Egg shape index, the ratio of vertical length to diameter at the midlength, was calculated from measurements made with a vernier caliper. Shell strength was determined with an Egg Force Reader (EFR-01; Orka, Ramat HaSharon, Israel). Eggshell was separated from the albumen and yolk, washed to remove residual albumen, and dried at 65°C for 4 h, then weighed. Eggshell proportion (%) = 100 × eggshell weight/egg weight. Shell thickness, yolk color, and Haugh unit were measured using an egg multitester EMT-5200 (Robotmation Co. Ltd., Tokyo, Japan). Shell thickness was calculated as the average thickness at the blunt end, sharp end, and middle of eggs. The yolk color was determined as per the La Roche scale (scores 1–15) (Zita et al., 2013).
Hatching Performance
During the last 1 wk, qualified eggs (51–60 g) for hatch from each replicate were collected and recorded. Rate of qualified eggs for hatch (total qualified eggs for hatch/total eggs laid) was calculated. Forty qualified eggs for hatch per replicate consisting of equal numbers from each day were selected, weighed individually, and incubated under standard conditions for hatching. On the fifth day after the start of incubation, unfertilized eggs were recorded and eliminated. On the 18th day, eggs with dead embryos also were recorded and eliminated. The number of hatched chicks on day 21 and 22 was recorded and hatchling weight per replicate was recorded. Hatchability of fertilized eggs (number of hatched chicks/[total qualified eggs for hatch-unfertilized eggs]) and hatchability of live embryos (number of hatched chicks/live embryos on the 18th day) were calculated.
Growth Performance of Offsprings
Mortality was checked daily, and dead birds were recorded and weighed to adjust estimates of gain, intake, and feed conversion ratio, as appropriate. At 28 d of age, birds were deprived of feed overnight and weighed. During the trial of chicks, only initial and final weights were measured. Accumulated feed intake and just the rest of feed at the age of 28 d when trial was finished were recorded. BW gain and feed intake were determined, and ADFI, ADG, and feed/gain ratios were calculated.
Statistical Analysis
The effects of dietary Cu treatment were assessed by 1-way GLM ANOVA procedures of SAS (version 8.1) with replicates as the experimental unit for each variable. When needed for normality and homogeneity of variance, data were transformed. When the major effect was significant (P < 0.05), linear and quadratic effects of Cu content were determined. For variables of hens with significant effects, optimal dietary Cu level was determined using quadratic polynomial (QP) and broken-line (BL) (2-slope BL or BL with plateau) regression models (Gou et al., 2019). The QP model (Y = α + β × Cu + γ × Cu2) had Y as the dependent variable; α was the intercept; β was the linear coefficient; γ was the quadratic coefficient. The optimal response for Cu was defined as Cu = −β/(2 × γ). The 2-slope BL model (Y = α + β × Cu, Cu ≤ γ; Y = δ + ε × Cu, Cu > γ) had Y as the dependent variable; α and δ were both intercepts; β and ε were slopes of the 2 lines. The Cu level at the break point (γ) was considered as that providing optimal response. The BL with plateau model (Y = α + β × γ, Cu ≤ γ; Y = α + β × Cu, Cu > γ) had Y as the dependent variable; α was the intercept; β was the slope of line; the value (α + β × γ) was the plateau. The Cu level at the break point (γ) was considered to be that providing the optimal response.
Results
Laying Performance of Chinese Broiler Breeder Hens
Egg laying rate, egg weight, and egg mass of the breeder hens were not influenced (P > 0.05) by the different levels of Cu fed (Table 4); highest mean values for egg laying rate and egg mass occurred with 13.5 mg/kg Cu. Qualified egg rate was affected (P = 0.001) by dietary Cu, with both linear (P = 0.050) and quadratic (P = 0.076) effects. Qualified egg rates of hens fed 3.5, 8.5, or 13.5 mg/kg Cu all were greater (P < 0.05) than that of hens fed 23.5 or 83.5 mg/kg Cu; besides, qualified egg rate of hens fed 43.5 mg/kg Cu was increased by 1.7 percent point (P < 0.05) compared with that of hens fed 23.5 mg/kg Cu.
Table 4.
Variable | Dietary Cu content, mg/kg |
SEM1 |
P-value2 |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
3.5 | 8.5 | 13.5 | 23.5 | 43.5 | 83.5 | Cu level | Linear | Quadratic | ||
Egg production, % | 64.3 | 63.4 | 64.6 | 63.2 | 62.3 | 62.9 | 1.07 | 0.682 | ||
Egg weight, g | 52.4 | 53.1 | 53.0 | 53.0 | 53.2 | 53.7 | 0.350 | 0.299 | ||
Egg mass, g/d | 33.7 | 33.7 | 34.2 | 33.2 | 33.2 | 33.7 | 0.567 | 0.807 | ||
Qualified egg rate, % | 97.5a | 97.2a | 97.4a | 95.4c | 97.1a,b | 96.1b,c | 0.348 | 0.001 | 0.050 | 0.076 |
a-cMeans with no common superscript differ (P < 0.05).
SEM from ANOVA (n = 6).
Linear and quadratic contrasts examined only when Cu level was significant.
Biochemical Variables
Blood hemoglobin was a tendency to be affected (P = 0.055) by dietary Cu (Table 5). Plasma MDA concentration was affected (P = 0.004) by dietary Cu with a quadratic (P = 0.002) effect. Plasma MDA concentration decreased first then increased with dietary Cu increased. Plasma MDA of hens fed 13.5, 23.5, or 43.5 mg/kg Cu all were less (P < 0.05) than that of hens fed 3.5 or 83.5 mg/kg Cu. The ratio of GSH/GSSG (mol/mol) was the highest in breeder hens fed 13.5 mg/kg Cu with a significant (P = 0.004) effect being demonstrated.
Table 5.
Variable | Dietary Cu content, mg/kg |
SEM1 |
P-value2 |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
3.5 | 8.5 | 13.5 | 23.5 | 43.5 | 83.5 | Cu level | Linear | Quadratic | ||
Hemoglobin, g/L | 111 | 124 | 113 | 101 | 84 | 125 | 3.44 | 0.055 | ||
MDA, nmol/mL | 5.72a | 5.10a,b | 3.04b | 2.91b | 4.01b | 7.08a | 0.777 | 0.004 | 0.246 | 0.002 |
GSH/GSSG, mol/mol | 14.8b | 12.8b | 33.3a | 27.4a,b | 28.4a | 17.7b | 4.10 | 0.004 | 0.902 | 0.052 |
Cu-ZnSOD, U/mL | 94.5 | 87.4 | 89.2 | 89.8 | 92.6 | 89.2 | 5.54 | 0.938 |
Abbreviations: Cu-ZnSOD, copper-zinc superoxide dismutase; GSH, reduced glutathione; GSSG, oxidized glutathione; MDA, malondialdehyde.
a,bMeans within row with no common superscript differ (P < 0.05).
SEM from ANOVA (n = 6).
Linear and quadratic contrasts examined only when Cu level was significant.
Of the variables measured in the liver (Table 6), only Cu content and activity of Cu-ATPase were affected (P = 0.001) by different levels of dietary Cu; highest values occurred with 83.5 mg/kg Cu with both linear (P = 0.001) and quadratic (P = 0.001) effects.
Table 6.
Variable | Dietary Cu content, mg/kg |
SEM1 |
P-value2 |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
3.5 | 8.5 | 13.5 | 23.5 | 43.5 | 83.5 | Cu level | Linear | Quadratic | ||
Copper, mg/kg DM | 14.7b | 14.8b | 15.7b | 16.7b | 17.5b | 26.6a | 1.62 | 0.001 | 0.001 | 0.001 |
MDA, nmol/mg protein | 0.884 | 0.916 | 0.728 | 0.770 | 1.090 | 0.956 | 0.113 | 0.272 | ||
GSH/GSSG, mol/mol | 0.865 | 0.931 | 0.969 | 0.880 | 0.894 | 1.273 | 0.114 | 0.345 | ||
Cu-ZnSOD, U/mg protein | 152 | 171 | 157 | 150 | 152 | 154 | 6.25 | 0.432 | ||
Cu-ATPase, μmolPi/mg protein/h | 5.36c | 5.97b,c | 5.72c | 5.91b,c | 6.53b | 7.80a | 0.272 | 0.001 | 0.001 | 0.001 |
Abbreviations: Cu-ZnSOD, copper-zinc superoxide dismutase; GSH, reduced glutathione; GSSG, oxidized glutathione; MDA, malondialdehyde.
a-cMeans within row with no common superscript differ (P < 0.05).
SEM from ANOVA (n = 6).
Linear and quadratic contrasts examined only when Cu level was significant.
Organ and Tissue Indices
There was a significant effect (P < 0.05) of dietary Cu level on liver weight and index of breeder hens, with both linear and quadratic (P < 0.05) effects (Table 7). Both weight of comb and comb index were affected (P < 0.05) by dietary Cu in a quadratic manner (P < 0.05). The highest value of femoral breaking strength occurred with 13.5 mg/kg Cu, and the lowest femoral index occurred with 83.5 mg/kg Cu, although no significant (P > 0.05) effects were demonstrated.
Table 7.
Variable | Dietary Cu content, mg/kg |
SEM1 |
P-value2 |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
3.5 | 8.5 | 13.5 | 23.5 | 43.5 | 83.5 | Cu level | Linear | Quadratic | ||
Weight of liver, g | 38.6b | 34.1c | 35.7c | 33.1c | 34.1c | 41.8a | 0.892 | 0.001 | 0.007 | 0.001 |
Hepatic index, % | 1.69a | 1.37b | 1.48b | 1.44b | 1.50b | 1.74a | 0.051 | 0.001 | 0.014 | 0.002 |
Weight of comb, g | 7.33b | 6.37b | 7.77b | 7.63b | 9.66a | 6.92b | 0.574 | 0.009 | 0.630 | 0.007 |
Comb index, % | 0.297b,c | 0.255c | 0.355a,b | 0.323a,b | 0.411a | 0.290b,c | 0.023 | 0.002 | 0.631 | 0.004 |
Femoral breaking strength, kgf | 26.7 | 23.1 | 27.1 | 25.7 | 20.4 | 23.8 | 2.17 | 0.309 | ||
Femoral index, % | 0.484 | 0.497 | 0.473 | 0.511 | 0.479 | 0.454 | 0.014 | 0.082 |
a-cMeans within row with no common superscript differ (P < 0.05).
SEM(n = 6).
Linear and quadratic contrasts examined only when Cu level was significant.
The relevant ovarian and oviductal variables, ovarian weight and index, oviductal weight and index, oviductal length, and number of dominant follicle all were not affected (P > 0.05) by dietary Cu content (data not shown).
Expression of Cu-Related Genes in Stroma of the Ovary
There were significant effects of dietary Cu level on relative abundance of Atp7b (P = 0.004) and Commd1 (P = 0.001) in ovarian stroma of breeder hens (Table 8). Breeder hens fed 13.5 mg/kg Cu had more Atp7b transcripts (P < 0.05) compared with others except the hens fed 23.5 mg/kg Cu. Breeder hens fed 13.5 mg/kg Cu had higher expression of Commd1 (P < 0.05) than all others except for hens fed 8.5 mg/kg Cu.
Table 8.
Variable | Dietary Cu content, mg/kg |
SEM1 |
P-value2 |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
3.5 | 8.5 | 13.5 | 23.5 | 43.5 | 83.5 | Cu level | Linear | Quadratic | ||
Atox1 | 2.07 | 2.14 | 2.22 | 2.11 | 2.07 | 2.03 | 0.086 | 0.685 | ||
Atp7b | 0.261b,c | 0.319b,c | 0.594a | 0.479a,b | 0.154c | 0.362b | 0.076 | 0.004 | 0.618 | 0.875 |
Cox11 | 1.02 | 1.04 | 1.09 | 1.03 | 1.09 | 0.99 | 0.054 | 0.740 | ||
Cox17 | 1.92 | 1.96 | 2.05 | 1.85 | 2.05 | 1.81 | 0.063 | 0.054 | ||
Commd1 | 0.384b | 0.860a | 0.848a | 0.447b | 0.363b | 0.565b | 0.090 | 0.001 | 0.339 | 0.325 |
Cutc | 1.33 | 1.41 | 1.37 | 1.22 | 1.26 | 1.22 | 0.055 | 0.097 |
Abbreviations: Atox1, Antioxidant 1 copper chaperone; Atp7b, ATPase copper transporting beta; Commd1, Copper metabolism domain containing 1; Cox11, Cytochrome c oxidase copper chaperone COX11; Cox17, COX17 cytochrome c oxidase copper chaperone; Cutc, cutC copper transporter.
a-cMeans within row with no common superscript differ (P < 0.05).
SEM (n = 6).
Linear and quadratic contrasts examined only when Cu level was significant.
Egg Quality
Relevant indices of egg quality, viz. egg shape index, shell strength, shell thickness, eggshell proportion, yolk color score, albumen height, and Haugh unit, are presented in Table 9. There were significant (P < 0.05) effects of dietary Cu on shell strength, yolk color score, albumen height, and Haugh unit. Shell thickness was affected (P = 0.001) by dietary Cu with a quadratic (P = 0.001) response. The highest value of egg shape index and eggshell proportion occurred with 13.5 mg/kg Cu, although no significant (P > 0.05) effects were demonstrated.
Table 9.
Variable | Dietary Cu content, mg/kg |
SEM1 |
P-value3 |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
3.5 | 8.5 | 13.5 | 23.5 | 43.5 | 83.5 | Cu level | Linear | Quadratic | ||
Egg shape index | 1.31 | 1.28 | 1.32 | 1.29 | 1.32 | 1.30 | 0.012 | 0.331 | ||
Shell strength, kgf2 | 3.82c | 4.44a,b | 4.58a | 4.42a,b | 4.18b | 4.14b,c | 0.107 | 0.001 | 0.509 | 0.293 |
Shell thickness, mm | 0.345b | 0.353a,b | 0.358a | 0.355a | 0.363a | 0.339c | 0.004 | 0.001 | 0.066 | 0.001 |
Eggshell proportion, % | 9.05 | 9.09 | 9.35 | 9.17 | 9.17 | 9.09 | 0.108 | 0.433 | ||
Yolk color score | 4.02c | 5.07b | 6.70a | 5.23b | 4.93b | 5.13b | 0.296 | 0.001 | 0.972 | 0.673 |
Albumen height, mm | 4.61b | 4.70b | 6.53a | 4.42b | 4.88b | 4.96b | 0.392 | 0.010 | 0.788 | 0.958 |
Haugh unit | 66.1b | 66.7b | 79.5a | 63.0b | 67.6b | 69.8b | 2.75 | 0.006 | 0.984 | 0.966 |
a-cMeans within row with no common superscript differ (P < 0.05).
SEM (n = 6).
kg-force.
Linear and quadratic contrasts examined only when Cu level was significant.
Hatching Performance
Some relevant data on hatching performance, fertility rate, hatchability, production of healthy hatched chicks, and hatchling weight are presented in Table 10. Of the variables examined, production of qualified eggs for hatch, proportion of live embryos on 18th day, hatchability of fertilized eggs and live embryos that hatched, and hatching weight of chicks were affected (P < 0.05) by dietary Cu; there was a linear effect (P = 0.016) on proportion of live embryos on the 18th day with both linear (P = 0.001) and quadratic (P = 0.004) effects on hatchling weight. Maximal production of qualified eggs for hatch and proportion of live embryos on the 18th day, occurred with diets of breeder hens containing 13.5 mg/kg Cu, and minimal values of those variables and hatchability of fertilized eggs occurred with diets containing 83.5 mg/kg.
Table 10.
Variable | Dietary Cu content, mg/kg |
SEM1 |
P-value2 |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
3.5 | 8.5 | 13.5 | 23.5 | 43.5 | 83.5 | Cu level | Linear | Quadratic | ||
Rate of qualified eggs for hatch, % | 73.6b | 77.2a,b | 85.6a | 71.2b | 72.4b | 69.5b | 3.44 | 0.050 | 0.075 | 0.208 |
Hatching egg weight, g | 55.9 | 56.5 | 56.1 | 56.2 | 56.5 | 56.3 | 0.175 | 0.111 | ||
Fertility rate, % | 96.3 | 98.3 | 97.1 | 97.9 | 100.0 | 97.1 | 1.34 | 0.457 | ||
Proportion of live embryos on 18th day, % | 95.9a,b | 91.2b,c | 97.9a | 94.4a,b,c | 91.7b,c | 88.9c | 1.96 | 0.043 | 0.016 | 0.057 |
Hatchability of fertilized eggs, % | 86.7a | 72.9c | 83.3a,b | 75.7b,c | 82.5a,b | 72.7c | 2.77 | 0.007 | 0.088 | 0.219 |
Hatchability of live embryos, % | 87.2a | 76.1c | 84.3a,b | 77.7b,c | 88.2a | 77.3b,c | 2.86 | 0.023 | 0.408 | 0.487 |
Proportion of healthy hatchlings, % | 92.7 | 94.7 | 98.0 | 96.0 | 98.5 | 93.9 | 1.68 | 0.109 | ||
Hatchling weight, g | 35.9b | 36.5b | 36.7a,b | 36.2b | 36.7a,b | 37.3a | 0.219 | 0.009 | 0.001 | 0.004 |
a-cMeans with no common superscript differ (P < 0.05).
SEM(n = 6).
Linear and quadratic contrasts examined only when Cu level was significant.
Growth Performance of Offsprings
Growth performance–related variables BW, ADFI, ADG, and F/G are presented in Table 11. There were significant effects (P = 0.005) of dietary Cu fed to breeder hens on both BW and ADG of their offsprings, with both linear (P < 0.01) and quadratic (P < 0.05) effects of dietary content.
Table 11.
Variable | Dietary Cu content, mg/kg |
SEM1 |
P-value2 |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
3.5 | 8.5 | 13.5 | 23.5 | 43.5 | 83.5 | Cu level | Linear | Quadratic | ||
Final BW, g | 559a | 574a | 564a | 516b,c | 553a,b | 512c | 12.2 | 0.005 | 0.006 | 0.022 |
ADFI, g | 34.6 | 35.8 | 33.9 | 33.9 | 34.6 | 32.0 | 1.14 | 0.341 | ||
ADG, g | 18.7a | 19.2a | 18.8a | 17.1b,c | 18.4a,b | 16.9c | 0.433 | 0.005 | 0.005 | 0.017 |
F/G | 1.85 | 1.87 | 1.80 | 1.98 | 1.88 | 1.89 | 0.043 | 0.190 |
Abbreviation: F/G, feed/gain.
a-cMeans within row with no common superscript differ (P < 0.05).
SEM (n = 6).
Linear and quadratic contrasts examined only when Cu level was significant.
Regression Analyses
The data of MDA in plasma, Cu in the liver, Cu-ATPase in the liver, and thickness of eggshell, all presenting significant quadratic effects, were selected for further analysis by QP and BL regressions related to the dietary Cu level. In some cases, QP models were not listed when the derived optimal values of dietary Cu were negative and inconsistent with reality (Table 12). As per the optimal dietary Cu response from regression models multiplied by the ADFI allowance of 115 g, the optimal daily Cu fed allowance of Chinese Yellow broiler breeder hens during the laying period was calculated (Table 12). When the 2 regression models were compared, for plasma MDA content, the BL model was better than QP with smaller P-value and greater R2. For least values of plasma and hepatic MDA and hepatic activity of Cu-ATPase, the appropriate dietary Cu was between 15.7 and 21.2 mg/kg diet with 1.81 to 2.44 mg Cu daily allowance for these breeders weighing ∼2.23 kg BW. A maximum response for thickness of eggshell was obtained at 38.6 mg/kg (4.44 mg/day/hen) and 41.1 mg/kg dietary Cu (4.73 mg/day/hen) for the QP and 2-slope BL models, respectively.
Table 12.
Variable | Model | Regression equation1 | Optimal dietary Cu level, mg/kg | Optimal daily Cu fed allowance, mg | P-value | R2 |
---|---|---|---|---|---|---|
MDA2 in plasma, nmol/mL | QP2 | Y = 5.65 − 0.128 × X − 1.77 × 10−3 × X2 | 36.2 | 4.16 | 0.002 | 0.438 |
Two-slope BL3 | Y = 6.77 − 0.261 × X (X ≤ 17.2) Y = 1.06 + 0.071 × X (X > 17.2) |
17.2 | 1.98 | <0.001 | 0.561 | |
Copper in liver, mg/kg DM | BL with plateau4 | Y = 15.0 (X ≤ 21.2) Y = 11.2 + 0.180 × X (X > 21.2) |
21.2 | 2.44 | <0.001 | 0.636 |
Cu-ATPase in liver, μmolPi/mg protein/hour | BL with plateau4 | Y = 5.66 (X ≤ 15.7) Y = 5.16 + 0.032 × X (X > 15.7) |
15.7 | 1.81 | <0.001 | 0.706 |
Shell thickness, mm | QP2 | Y = 0.344 + 9.04 × 10−4 × X − 1.17 × 10−5 × X2 | 38.6 | 4.44 | 0.001 | 0.458 |
Two-slope BL3 | Y = 0.348 + 4.20 × 10−4 × X (X ≤ 41.1) Y = 0.390 – 6.20 × 10−4 × X (X > 41.1) |
41.1 | 4.73 | <0.001 | 0.453 |
Abbreviation: MDA, malondialdehyde.
Regression equations obtained using the analyzed Cu in the trial diets (3.5, 8.5, 13.5, 23.5, 43.5 and 83.5 mg/kg).
QP: Quadratic polynomial; QP model: Y = α + β × X + γ × X2, where Y is the response variable, X is the dietary Cu, α is the intercept; β and γ are the linear and quadratic coefficients respectively. The optimal response was obtained by–β/(2 × γ).
BL: Broken line; 2-slope BL model: Y = α + β × Cu, Cu ≤ γ; Y = δ + ε × Cu, Cu > γ, where Y is the response variable, X is the dietary Cu, both α and δ are intercepts, both β and ε are slopes of lines. The Cu level at the break point (γ) was considered as the one providing the optimal response.
BL with plateau model: Y = α + β × γ, Cu ≤ γ; Y = α + β × Cu, Cu > γ, where Y is the response variable, X is the dietary Cu, α is the intercept, β is the slope of line, the value (α + β × γ) is the plateau. The Cu level at the break point (γ) was considered to be that providing the optimal response.
Discussion
In the present study with Mahuang breeder hens, dietary Cu levels of 3.5, 8.5, 13.5, 23.5, 43.5, or 83.5 mg/kg had no significant effect on egg production, egg weight, and egg mass. Similar results were obtained in breeder hens fed diets with Cu content ranging from 10 to 120 mg/kg (Attia et al., 2011) and in laying ducks fed diets with 4 to 24 mg/kg Cu (Fouad et al., 2016). Even in laying hens, production performance was not affected by dietary Cu level between 100 and 300 mg/kg (Kim et al., 2016). In most cases, production performance of hens was affected with positive or negative effects by high level of dietary Cu (higher than 125 mg/kg) (Jackson and Stevenson, 1981; Al Ankari et al., 1998; Pesti and Bakalli, 1998; Pekel and Alp, 2011).
Copper is a redox-active metal, playing a major role along with iron in the production of ROS (Koivula and Eeva, 2010). Copper can cause oxidative stress and intracellular oxidative damage by increasing ROS formation (Stohs and Bagchi, 1995; Gaetke and Chow, 2003; Valko et al., 2005). In the present study, susceptibility to lipid oxidation reflected by MDA production and oxidative stress occurred in hens fed the highest dietary Cu (83.5 mg/kg); in contrast, antioxidative and oxidative status (GSH/GSSG) of hens were both improved by moderate dietary supplementation (13.5–43.5 mg/kg Cu). Similar results were observed in pigs (Lauridsen et al., 1999; Rey and López-Bote, 2010).
The content of Cu in the liver is influenced by dietary Cu supply, and generally, when dietary Cu level is low, hepatic Cu is diminished and vice versa (Cousins, 1985). In the present study, hepatic content of Cu increased slightly without significant difference when hens were fed dietary Cu from 3.5 to 43.5 mg/kg but was significantly increased when the diet contained 83.5 mg/kg Cu. Skřivan et al. (2006) similarly found that when Cu level in the diet changed from 9.2 or 34.0 to 72.5 mg/kg or higher, hepatic content of Cu was significantly increased. In earlier studies, the amount of Cu accumulated in the liver also can be markedly influenced by doses of Cu (Bremner and Davies, 1976; Theil and Calvert, 1978; Weiner and Cousins, 1980). Powell (2000) indicated that once Cu accumulates at a site, it might cause repetitive radical formation through redox cycling. In the present study, oxidative stress was not observed in the liver but was evident in blood, presumably because increased activity of Cu-ATPase in the liver of hens fed 83.5 mg/kg Cu exported excess Cu into bile to protect against hepatic oxidative damage (Braiterman et al., 2015). The increased weight of the liver observed here with deficiency or excess of Cu needs to be confirmed and explored further in additional studies.
Inconsistent with changes in the hepatic activity of Cu-ATPase with increase of dietary Cu fed to hens, transcripts of Atp7b (one of the Cu-ATPases) in ovarian stroma were highest in number in the hens fed 13.5 mg/kg Cu. Highest expression of Cox17 and higher expression of Commd1 and Cutc were also observed in ovarian stroma of hens fed 13.5 mg/kg Cu. These probably indicate that Cu-related metabolism in ovarian stroma was optimal when hens were fed a normal level of dietary Cu. Copper metabolism domain containing 1 has a role in Cu homeostasis (Alina et al., 2014), and expression of COMMD1 measured here was consistent with that of the other transcripts.
Copper deprivation can impair eggshell quality, as observed by scanning electronic microscopy (Berwanger et al., 2018). Efficiency of Cu deposition in eggshell is much higher than that of other mineral elements such as Zn and Mn (Skřivan et al., 2006; Dobrzanski et al., 2007; Abbas Ali et al., 2011). Copper may affect eggshell quality by its catalytic properties in enzymes involved in processes of membrane and eggshell formation and their interaction with calcite crystals in the forming eggshell (Abbas Ali et al., 2011). Therefore, Cu plays an important role in eggshell quality. In the present study, both the lowest shell strength and reduced shell thickness in hens fed 3.50 mg/kg Cu are indicative of Cu deficiency. Lower qualified egg production, shell strength, and lowest shell thickness occurred in hens fed 83.5 mg/kg Cu here are also indicative of Cu excess, exceeding the level permitted earlier by the European Union (35 mg/kg) (Skřivan et al., 2006) and now reduced to 25 mg/kg (EFSA, 2016).
Deficiencies or excesses of Cu can affect egg quality and subsequent performance of the progeny (Berwanger et al., 2018). Hatching of embryos can be inhibited by Cu via inducing ROS and downregulating Wnt signaling (Zhang et al., 2018). In the present study, hatching of embryos was indeed reduced when hens were fed excess dietary Cu (83.5 mg/kg) resulting in more dead embryos. The reason may be that more ROS was produced in hens fed the highest level of Cu and oxidative stress occurred, as described before. Roychoudhury et al. (2016) indicated that Cu hampers embryo development in a dose-dependent manner. Copper is an essential trace element that plays vital roles in the physiology of animals including during fetal growth and development (El-Hussein et al., 2018).
In conclusion, Cu can accumulate in the liver and induce oxidative stress when hens are fed the highest tested level of dietary Cu. Qualified egg rate and plasma GSH/GSSG were of hens, and growth and development of the progeny were all decreased when hens were fed 83.5 mg/kg Cu. Lowest values for hatching performance occurred with this highest dietary Cu level. Breeder hens fed the lowest dietary Cu (3.5 mg/kg) also suffered some degree of oxidative stress, as did that of hens fed 83.5 mg/kg Cu. It can be concluded that 3.5 mg/kg dietary Cu for breeder hens in the laying period was insufficient. The negative impacts of Cu deficiency were relatively mild, relative to those of excess dietary Cu. The appropriate dietary Cu level for Chinese Yellow broiler breeder hens weighing about 2.36 kg during the egg-laying period is between 15.7 and 21.2 mg/kg with a daily allowance of 1.81 to 2.44 mg Cu per day when based on Cu level and Cu-ATPase activity in the liver.
Acknowledgments
This research was supported by the National Key R & D Program (2018YFD0500600), the Natural Science Foundation from Guangdong province (2017A030310096), the Earmarked Fund for Modern Agro-industry Technology Research System (CARS-41-G10) from Ministry of Agriculture and Rural Affairs, the National Natural Science Foundation (31802104), the Scientific and Technological Project of Guangdong Province (2017B020202003, 2019A050505007), the Scientific and Technological Project of Guangzhou city (201804020091), the Outstanding Talents Training Program of Guangdong Academy of Agricultural Sciences, Supporting Program for Guangdong Agricultural Research & Development Center of Livestock and Poultry Healthy Breeding, Supporting Program for Transformation of Scientific and Technological Achievements and Technology Extension Service of Animal Husbandry and Aquatic Industry in Meizhou Region (2018063005), and the Presidential Foundation of the Guangdong Academy of Agricultural Sciences (201620, 201805, 201807B, 201809B, 201908). The authors thank W. Bruce Currie, Cornell University, Ithaca, NY, for suggestions on the manuscript.
References
- Ministry of Agriculture in China . Standards Press of China; Beijing, China: 2004. Feeding Standard of Chicken. [Google Scholar]
- Abbas Ali G., Abbas S., Abdolhossein S., Mohamad Mehdi G., Majid T. Effect of diets supplemented with different levels of manganese, zinc, and copper from their organic or inorganic sources on egg production and quality characteristics in laying hens. Biol. Trace Elem. Res. 2011;142:557–571. doi: 10.1007/s12011-010-8779-x. [DOI] [PubMed] [Google Scholar]
- Al Ankari A., Najib H., al Hozab A. Yolk and serum cholesterol and production traits, as affected by incorporating a supraoptimal amount of copper in the diet of the leghorn hen. Br. Poult. Sci. 1998;39:393–397. doi: 10.1080/00071669888944. [DOI] [PubMed] [Google Scholar]
- Alina F., Paulina B., Bart V.D.S. Functional understanding of the versatile protein copper metabolism MURR1 domain 1 (COMMD1) in copper homeostasis. Ann. N. Y. Acad. Sci. 2014;1314:6–14. doi: 10.1111/nyas.12353. [DOI] [PubMed] [Google Scholar]
- Attia Y.A., Abdalah A.A., Zeweil H.S., Bovera F., El-Din A.A.T., Araft M.A. Effect of inorganic or organic copper additions on reproductive performance, lipid metabolism and morphology of organs of dual-purpose breeding hens. Arch.Geflügelk. 2011;75:169–178. [Google Scholar]
- Aviagen . 2016. ROSS 308 Parent Stock: Nutrition Specifications, Aviagen Inc. Huntsville, AL. Accessed Jun. 2019. http://eu.aviagen.com/assets/Tech_Center/Ross_PS/Ross308-PS-NS-2016-EN.pdf. [Google Scholar]
- Baumgartner S., Brown D.J., Salevsky E., Leach R.M. Copper deficiency in the laying hen. J. Nutr. 1978;108:804–811. doi: 10.1093/jn/108.5.804. [DOI] [PubMed] [Google Scholar]
- Berglund A.M.M., Sturve J., Förlin L., Nyholm N.E.I. Oxidative stress in pied flycatcher (Ficedula hypoleuca) nestlings from metal contaminated environments in northern Sweden. Environ. Res. 2007;105:330–339. doi: 10.1016/j.envres.2007.06.002. [DOI] [PubMed] [Google Scholar]
- Berwanger E., Vieira S.L., Angel C.R., Kindlein L., Mayer A.N., Ebbing M.A., Lopes M. Copper requirements of broiler breeder hens. Poult. Sci. 2018;97:2785–2797. doi: 10.3382/ps/pex437. [DOI] [PubMed] [Google Scholar]
- Braiterman L.T., Arnab G., Raghothama C., Cole R.N., Hubbard A.L. Communication between the N and C Termini is required for copper-stimulated Ser/Thr Phosphorylation of Cu(I)-ATPase (ATP7B) J. Biol. Chem. 2015;290:8803–8819. doi: 10.1074/jbc.M114.627414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bremner I., Davies N.T. Studies on the appearance of a hepatic copper-binding protein in normal and zinc-deficient rats. Br. J. Nutr. 1976;36:101–112. doi: 10.1079/bjn19760061. [DOI] [PubMed] [Google Scholar]
- Cao H., Su R., Hu G., Li C., Guo J., Pan J., Tang Z. In vivo effects of high dietary copper levels on hepatocellular mitochondrial respiration and electron transport chain enzymes in broilers. Br. Poult. Sci. 2016;57:63–70. doi: 10.1080/00071668.2015.1127895. [DOI] [PubMed] [Google Scholar]
- Chinese feed database Tables of feed composition and nutritive values in China (29th edition) Chin. Feed. 2018;617:64–73. [Google Scholar]
- Cobb-vantress . Cobb Vantress Inc.; Siloam Springs, AR: 2013. Breeder Management Supplement. [Google Scholar]
- Cousins R.J. Absorption, transport, and hepatic metabolism of copper and zinc: special reference to metallothionein and ceruloplasmin. Physiol. Rev. 1985;65:238–309. doi: 10.1152/physrev.1985.65.2.238. [DOI] [PubMed] [Google Scholar]
- Dbski B. Supplementation of pigs diet with zinc and copper as alternative to conventional antimicrobials. Pol. J. Vet. Sci. 2016;19:917–924. doi: 10.1515/pjvs-2016-0113. [DOI] [PubMed] [Google Scholar]
- Dhama K., Tiwari R., Khan R.U., Chakraborty S., Gopi M., Karthik K., Saminathan M., Desingu P.A., Sunkara L.T. Growth promoters and Novel feed Additives improving poultry production and Health, Bioactive Principles and Beneficial Applications: the Trends and Advances-A review. Int. J. Clin. Pharmacol. 2014;10:129–159. [Google Scholar]
- Dirksen K., Spee B., Penning L.C., van den Ingh T.S.G.A.M., Burgener I.A., Watson A.L., Koerkamp M.G., Rothuizen J., Steenbeek F.G.V., Fieten H. Gene expression patterns in the progression of canine copper-associated chronic hepatitis. PLoS One. 2017;12:e0176826. doi: 10.1371/journal.pone.0176826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dobrzanski Z., Gorecki H., Chojnacka K., Gorecka H., Synowies M. Effect of dietary humic preparations on the content of trace elements hens' eggs. Am. J. Agric. Biol. Sci. 2007;2:234–240. [Google Scholar]
- EDEC . Health & Consumer Protection Directorate-General; Brussels, Belgium: 2003. Opinion of the Scientific Committee for Animal Nutrition on the Use of Copper in Feedingstuffs. [Google Scholar]
- EFSA Revision of the currently authorised maximum copper content in complete feed. EFSA J. 2016;14:4563. [Google Scholar]
- El-Hussein O.M., Soliman A.Z.M., El-Sherif H.M.R., Fouad A.M. Influence of dietary vitamin A, zinc and copper on productive and reproductive performance of broiler breeders. Int. J. Poult. Sci. 2018;17:140–146. [Google Scholar]
- Favero A., Vieira S.L., Angel C.R., Bess F., Cemin H.S., Ward T.L. Reproductive performance of Cobb 500 breeder hens fed diets supplemented with zinc, manganese, and copper from inorganic and amino acid-complexed sources. J. Appl. Poult. Res. 2013;22:80–91. doi: 10.3382/ps.2012-02670. [DOI] [PubMed] [Google Scholar]
- Fouad A.M., Li Y., Chen W., Ruan D., Wang S., Xia W. Effects of dietary copper supplementation on laying performance, egg quality and plasma cholesterol fractions in laying ducks. Pakistan J. Nutr. 2016;15:878–882. [Google Scholar]
- Gaetke L.M., Chow C.K. Copper toxicity, oxidative stress, and antioxidant nutrients. Toxicology. 2003;189:147–163. doi: 10.1016/s0300-483x(03)00159-8. [DOI] [PubMed] [Google Scholar]
- Goldberg A., Williams C.B., Jones R.S., Yanagita M., Cartwright G.E., Wintrobe M.M. Studies on copper metabolism. 22. Hemolytic anemia in chickens induced by the administration of copper. J. Lab. Clin. Med. 1956;48:442–453. [PubMed] [Google Scholar]
- Gonzales-Eguia A., Fu C.M., Lu F.Y., Lien T.F. Effects of nanocopper on copper availability and nutrients digestibility, growth performance and serum traits of piglets. Livest. Sci. 2009;126:122–129. [Google Scholar]
- Gou Z., Fan Q., Li L., Jiang Z., Lin X., Cui X., Wang Y., Zheng C., Jiang S. Effects of dietary iron on reproductive performance of Chinese Yellow broiler breeder hens during the egg-laying period. Poult. Sci. 2019;0:1–9. doi: 10.3382/ps/pez006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gou Z.Y., Li L., Fan Q.L., Lin X.J., Jiang Z.Y., Zheng C.T., Ding F.Y., Jiang S.Q. Effects of oxidative stress induced by high dosage of dietary iron ingested on intestinal damage and caecal microbiota in Chinese Yellow broilers. J. Anim. Physiol. Anim. Nutr. (Berl.) 2018;102:924–932. doi: 10.1111/jpn.12885. [DOI] [PubMed] [Google Scholar]
- Harris E.D. Copper as a cofactor and regulator of copper,zinc superoxide dismutase. J. Nutr. 1992;122:636–640. doi: 10.1093/jn/122.suppl_3.636. [DOI] [PubMed] [Google Scholar]
- Isaksson C., Örnborg J., Stephensen E., Andersson S. Plasma glutathione and Carotenoid Coloration as potential biomarkers of environmental stress in Great Tits. EcoHealth. 2005;2:138–146. [Google Scholar]
- Jackson N., Stevenson M.H. A study of the effects of dietary added cupric oxide on the laying, domestic fowl and a comparison with the effects of hydrated copper sulphate. Br. J. Nutr. 1981;45:99–110. doi: 10.1079/bjn19810082. [DOI] [PubMed] [Google Scholar]
- Kadiiska M.B., Hanna P.M., Jordan S.J., Mason R.P. Electron spin resonance evidence for free radical generation in copper-treated vitamin E- and selenium-deficient rats: in vivo spin-trapping investigation. Mol. Pharmacol. 1993;44:222–227. [PubMed] [Google Scholar]
- Karimi A., Sadeghi G., Vaziry A. The effect of copper in excess of the requirement during the starter period on subsequent performance of broiler chicks. J. Appl. Poult. Res. 2011;20:203–209. [Google Scholar]
- Kaya A., Altiner A., Ozpinar A. Effect of copper deficiency on blood lipid Profile and Haematological Parameters in broilers. Transbound. Emerg. Dis. 2010;53:399–404. doi: 10.1111/j.1439-0442.2006.00835.x. [DOI] [PubMed] [Google Scholar]
- Kim J.W., Kim J.H., Shin J.E., Kil D.Y. Relative bioavailability of copper in tribasic copper chloride to copper in copper sulfate for laying hens based on egg yolk and feather copper concentrations. Poult. Sci. 2016;95:1591–1597. doi: 10.3382/ps/pew049. [DOI] [PubMed] [Google Scholar]
- Kim J., Lee H.S., Koo T.H. Heavy metal concentrations in three shorebird species from Okgu Mudflat, Gunsan, Korea. Ecotoxicology. 2009;18:61–68. doi: 10.1007/s10646-008-0257-2. [DOI] [PubMed] [Google Scholar]
- Koivula M.J., Eeva T. Metal-related oxidative stress in birds. Environ. Pollut. 2010;158:2359–2370. doi: 10.1016/j.envpol.2010.03.013. [DOI] [PubMed] [Google Scholar]
- Lauridsen C., Højsgaard S., Sørensen M.T. Influence of dietary rapeseed oil, vitamin E, and copper on the performance and the antioxidative and oxidative status of pigs. J. Anim. Sci. 1999;77:906–916. doi: 10.2527/1999.774906x. [DOI] [PubMed] [Google Scholar]
- Minghetti M., Leaver M.J., George S.G. Multiple Cu-ATPase genes are differentially expressed and transcriptionally regulated by Cu exposure in sea bream. Sparus Aurata. Aquat. Toxicol. 2010;97:23–33. doi: 10.1016/j.aquatox.2009.11.017. [DOI] [PubMed] [Google Scholar]
- NRC . National Academy Press; Washington, D. C: 1994. Nutrient Requirements of Poultry. [Google Scholar]
- Park S.Y., Birkhold S.G., Kubena L.F., Nisbet D.J., Ricke S.C. Effect of storage condition on bone breaking strength and bone ash in laying hens at different stages in production cycles. Poult. Sci. 2003;82:1688–1691. doi: 10.1093/ps/82.11.1688. [DOI] [PubMed] [Google Scholar]
- Pekel A.Y., Alp M. Effects of different dietary copper sources on laying hen performance and egg yolk cholesterol. J. Appl. Poult. Res. 2011;20:506–513. [Google Scholar]
- Pesti G.M., Bakalli R.I. Studies on the effect of feeding cupric sulfate pentahydrate to laying hens on egg cholesterol content. Poult. Sci. 1998;77:1540–1545. doi: 10.1093/ps/77.10.1540. [DOI] [PubMed] [Google Scholar]
- Powell S.R. The antioxidant properties of zinc. J. Nutr. 2000;130:1447–1454. doi: 10.1093/jn/130.5.1447S. [DOI] [PubMed] [Google Scholar]
- Rey A.I., López-Bote C.J. Effect of dietary copper and vitamin E supplementation, and extensive feeding with acorn and grass on longissimus muscle composition and susceptibility to oxidation in Iberian pigs. J. Anim. Physiol. Anim. Nutr. (Berl.) 2010;85:281–292. doi: 10.1046/j.1439-0396.2001.00316.x. [DOI] [PubMed] [Google Scholar]
- Richards M.P. Trace mineral metabolism in the avian embryo. Poult. Sci. 1997;76:152–164. doi: 10.1093/ps/76.1.152. [DOI] [PubMed] [Google Scholar]
- Roland D.A., Sloan D.R., Harms R.H. The ability of hens to maintain calcium deposition in the egg shell and egg yolk as the hen ages. Poult. Sci. 1975;54:1720–1723. [Google Scholar]
- Roychoudhury S., Nath S., Massanyi P., Stawarz R., Kacaniova M., Kolesarova A. Copper induced changes in reproductive functions: review of in vivo and in vitro effects. Physiol. Res. 2016;65:11–22. doi: 10.33549/physiolres.933063. [DOI] [PubMed] [Google Scholar]
- Scheiber I.F., Mercer J.F.B., Dringen R. Metabolism and functions of copper in brain. Prog. Neurobiol. 2014;116:33–57. doi: 10.1016/j.pneurobio.2014.01.002. [DOI] [PubMed] [Google Scholar]
- Skřivan M., Skřivanová V., Marounek M. Effect of various copper Supplements to feed of laying hens on Cu content in eggs, liver, Excreta, Soil, and Herbage. Arch. Environ. Contam. Toxicol. 2006;50:280–283. doi: 10.1007/s00244-005-1028-1. [DOI] [PubMed] [Google Scholar]
- Stohs S.J., Bagchi D. Oxidative mechanisms in the toxicity of metal ions. Free Radic. Biol. Med. 1995;18:321–336. doi: 10.1016/0891-5849(94)00159-h. [DOI] [PubMed] [Google Scholar]
- Svetlana L., Barnes N.L., Bartee M.Y., Dmitriev O.Y. Function and regulation of human copper-transporting ATPases. Physiol. Rev. 2007;87:1011–1046. doi: 10.1152/physrev.00004.2006. [DOI] [PubMed] [Google Scholar]
- Theil E.C., Calvert K.T. The effect of copper excess on iron metabolism in sheep. Biochem. J. 1978;170:137–143. doi: 10.1042/bj1700137. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valko M., Morris H., Cronin M.T.D. Metals, toxicity and oxidative stress. Curr. Med. Chem. 2005;12:1161–1208. doi: 10.2174/0929867053764635. [DOI] [PubMed] [Google Scholar]
- Vieira S. Chelated minerals for poultry. Brazil. J. Poult. Sci. 2008;10:73–79. [Google Scholar]
- Weiner A.L., Cousins R.J. Copper accumulation and metabolism in primary monolayer cultures of rat liver parenchymal cells. Biochim. Biophys. Acta. 1980;629:113–125. doi: 10.1016/0304-4165(80)90270-6. [DOI] [PubMed] [Google Scholar]
- Xu H., Shen X., Zhou M., Fang M., Zeng H., Nie Q., Zhang X. The genetic effects of the dopamine D1 receptor gene on chicken egg production and broodiness traits. BMC Genet. 2010;11:1–17. doi: 10.1186/1471-2156-11-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang Y.J., Zhang R.T., Sun H.J., Chen Q., Yu X.D., Zhang T., Yi M., Liu J.X. Copper inhibits hatching of fish embryos via inducing reactive oxygen species and down-regulating Wnt signaling. Aquat. Toxicol. 2018;205:156–164. doi: 10.1016/j.aquatox.2018.10.015. [DOI] [PubMed] [Google Scholar]
- Zhao J., Allee G., Gerlemann G., Ma L., Gracia M.I., Parker D., Vazquez-Anon M., Harrell R.J. Effects of a chelated copper as growth promoter on performance and carcass traits in pigs. Asian-Australas J. Anim. Sci. 2014;27:965–973. doi: 10.5713/ajas.2013.13416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zita L., Ledvinka Z., Klesalová L. The effect of the age of Japanese quails on certain egg quality traits and their relationships. Vet. Arh. 2013;83:223–232. [Google Scholar]