| Literature DB >> 31208174 |
Cecep Hidayat1,2, Anuraga Jayanegara3, Elizabeth Wina2.
Abstract
OBJECTIVE: This study performed a meta-analysis of published trials to determine the effects of zinc addition on the immune response and production performance of broilers.Entities:
Keywords: Broiler; Immune Response; Production Performance; Zinc
Year: 2019 PMID: 31208174 PMCID: PMC7054626 DOI: 10.5713/ajas.19.0146
Source DB: PubMed Journal: Asian-Australas J Anim Sci ISSN: 1011-2367 Impact factor: 2.509
Studies included in the meta-analysis of zinc addition on immune response and performance of broiler
| No | References | Period (d) | Form of zinc | Dose (mg/kg) |
|---|---|---|---|---|
| 1 | Dozier et al [ | 0–17 | Zinc sulphate; Availa zinc (organic) | 40–120 |
| 2 | Ao et al [ | 0–42 | Zinc sulphate; Bioplex zinc (Zinc proteinate) | 0–40 |
| 3 | Aoyagi and Baker [ | 8–22 | Zinc sulphate; Zinc lysine | 0–8 |
| 4 | Bartlett and Smith [ | 0–49 | Zinc polyamino acid complex | 34–181 |
| 5 | Bafundo et al [ | 8–22 | Zinc monocarbonate; | 0–52 |
| 6 | Cao et al [6618] | 0–6 | Zinc acetate; Zinc proteinate, Zinc methionine | 0–90 |
| 7 | Chan et al [ | 0–35 | Zinc inorganic (ND) | 0–60 |
| 8 | Aksu et al [ | 0–42 | Zinc sulphate | 13–40 |
| 9 | Feng et al [ | 0–42 | Zinc glycine; Zinc sulphate | 0–120 |
| 10 | Huang et al [ | 0–21 | Zinc sulphate | 0–140 |
| 11 | Dibaiee-nia et al [ | 0–21 | Zinc oxide | 0–100 |
| 12 | Rao et al [ | 0–21 | Bioplex zinc (Zinc proteinate) | 0–40 |
| 13 | Stahl et al [ | 0–21 | Zinc carbonate | 37–119 |
| 14 | Sunder et al [ | 0–28 | Zinc sulphate | 0–160 |
| 15 | Vieira et al [ | 0–41 | Zinc sulphate; Zinc methionine | 0–100 |
| 16 | Jarosz et al [ | 0–42 | Zinc sulphate; Zinc glycinate | 100 |
| 17 | Hudson et al [ | 0–17 | Zinc sulphate; Zinc amino acid complex | 160 |
| 18 | Kwiecien et al [ | 0–42 | Zinc oxide; Zinc glycinate | 0–100 |
| 19 | Li et al [ | 3–14 | Zinc sulphate; Zinc tribasic sulphate | 0–90 |
| 20 | Yan et al [ | 0–42 | Zinc sulphate | 0–80 |
| 21 | Kakhki et al [ | 0–35 | Zinc methionine | 0–120 |
| 22 | Azad et al [ | 0–28 | Zinc sulphate; Zinc methionine; Zinc-enriched yeast | 0–80 |
| 23 | Liao et al [ | 22–42 | Zinc sulphate | 0–140 |
| 24 | Moghaddam and Jahanian [ | 0–42 | Zinc sulphate; Zinc methionine; Zinc oxide | 40 |
| 25 | Sahoo et al [ | 0–42 | Zinc sulphate; Zinc methionine | 0–15 |
| 26 | Chitithoti et al [ | 0–42 | Zinc sulphate; Zinc methionine | 0–80 |
| 27 | Donmez et al [ | 0–45 | Zinc sulphate | 0–125 |
| 28 | Roy et al [ | 0–35 | Zinc sulphate | 0–15 |
| 29 | Sunder et al [ | 0–35 | Commercial organic zinc (ND) | 4–160 |
| 30 | Ma et al [ | 0–21 | Zinc glycinate | 0–120 |
| 31 | Mohanna and Nys [ | 5–21 | Zinc sulphate; Zinc methionine | 0–40 |
| 32 | Pimentel et al [ | 0–28 | Zinc oxide | 8–88 |
| 33 | Yang et al [ | 0–42 | Inorganic zinc (as conventional inorganic sulphate salts) | 0–120 |
| 34 | Badawi et al [ | 0–42 | Zinc sulphate ; Zinc methionine | 0–40 |
| 35 | Sajadifar [ | 0–42 | Zinc sulphate | 40–200 |
| 36 | Yogesh et al [ | 0–42 | Zinc sulphate; Zinc oxide; Zinc propionate | 40–100 |
| 37 | Kulkarni et al [ | 0–42 | Zinc oxide | 0–120 |
| 38 | Ibrahim et al [ | 0–42 | Zinc oxide; Zinc methionine | 0–50 |
| 39 | Lai et al [ | 0–42 | Zinc oxide | 0–60 |
| 40 | Ivanisinova et al [ | 0–35 | Zinc sulphate; Zinc-glycine, Zinc propionate | 120 |
| 41 | Ezzati et al [ | 0–42 | Zinc sulphate | 0–75 |
Regression equations on the influence of zinc doses (in mg/kg of diet) on immune response of broilers
| Response parameter | Unit | Model | N | Parameter estimates | Model estimates | ||||
|---|---|---|---|---|---|---|---|---|---|
|
|
| ||||||||
| Intercept | SE intercept | Slope | SE slope | p-value | AIC | ||||
| Lymphoid organ weight | |||||||||
| Thymus | % BW | L | 43 | 0.31 | 0.032 | 0.00026 | 0.00019 | 0.172 | −81.8 |
| Bursa fabricious | % BW | L | 49 | 0.25 | 0.054 | 0.00013 | 0.00015 | 0.38 | −87.7 |
| Spleen | % BW | L | 64 | 0.22 | 0.091 | −0.00004 | 0.00015 | 0.81 | −114 |
| Liver | % BW | Q | 27 | 2.14 | 0.265 | −0.00472 | 0.001799 | 0.016 | - |
| 0.000022 | 9.013E-6 | 0.0254 | 27.5 | ||||||
| Haematologys | |||||||||
| Haemoglobin | g/dL | L | 10 | 8.11 | 0.76 | −0.00058 | 0.0035 | 0.872 | 27.1 |
| Hematocryt | % | L | 10 | 28.3 | 1.31 | −0.017 | 0.008 | 0.083 | 41.1 |
| H/L ratio | %/% | Q | 18 | 0.585 | 0.0641 | −0.00383 | 0.000851 | 0.0006 | - |
| 0.000018 | 5.63E-6 | 0.0075 | −8.7 | ||||||
| Metallothionein | |||||||||
| Pancreas MT | RQ | Q | 26 | 36 | 3.68 | 0.629 | 0.0765 | <0.0001 | - |
| −0.00347 | 0.000611 | <0.0001 | 173 | ||||||
| Antioxidant activity | |||||||||
| SOD on meat | U/mg protein | L | 10 | 53.5 | 2.84 | 0.043 | 0.053 | 0.444 | 60.7 |
| SOD on liver | U/mg protein | L | 21 | 161 | 21.9 | 0.23 | 0.17 | 0.198 | 211 |
| MDA on liver | nmol/mL | L | 15 | 4.31 | 0.670 | −0.0055 | 0.003 | 0.097 | 39.5 |
| Immunoglobulin (Ig) and complement (C) | |||||||||
| IgA | g/L | L | 12 | 0.0406 | 0.014 | 0.000048 | 0.000177 | 0.792 | −29 |
| IgG | g/L | L | 12 | 0.0484 | 0.010 | 0.000054 | 0.000124 | 0.671 | −36.1 |
| IgM | g/L | L | 12 | 0.0442 | 0.011 | 0.000111 | 0.000137 | 0.437 | −34.0 |
| C3 | g/L | L | 12 | 0.0372 | 0.009 | 0.000107 | 0.000115 | 0.371 | −37.6 |
| C4 | g/L | L | 12 | 0.0284 | 0.010 | 0.000025 | 0.000125 | 0.848 | −35.9 |
SE, standard error; AIC, akaike information criterion; BW, body weight; L, linear; Q, quadratic; H/L, heterophil/lymphocyte; MT, metallothionein; RQ, relative quantities of MT mRNA to β-actin mRNA in which RQ calculated by using this formula 2−ΔΔCt (Ct = threshold cycle); SOD, superoxide dismutase; MDA, malonaldehyde.
AIC is an estimator of the relative quality of statistical models for a given set of data.
Influence of zinc forms on immune response of broilers
| Response parameter | Unit | N | Zinc form | p-value | ||
|---|---|---|---|---|---|---|
|
| ||||||
| Control | Organic | Inorganic | ||||
| Dose average | mg/kg | 0 | 62.83 | 62.89 | ||
| Lymphoid organ weight | ||||||
| Thymus weight | % BW | 43 | 0.284 | 0.333 | 0.332 | 0.227 |
| Bursa fabricious weight | % BW | 49 | 0.228 | 0.263 | 0.272 | 0.248 |
| Spleen weight | % BW | 64 | 0.198 | 0.229 | 0.229 | 0.386 |
| Liver weight | % BW | 27 | 2.17 | 2.00 | 1.90 | 0.094 |
| Haematology | ||||||
| Haemoglobin | g/dL | 10 | 8.13 | nd | 8.05 | 0.756 |
| Hematocryt | % | 10 | 27.9 | nd | 27.1 | 0.250 |
| H/L ratio | %/% | 18 | 0.60 | 0.43 | 0.46 | 0.016 |
| Metallothionein | ||||||
| Pancreas MT | RQ | 14 | 1.00 | nd | 2.08 | 0.002 |
| Antioxidant activity | ||||||
| SOD on meat | U/mg protein | 10 | 46.5 | 58.1 | 52.9 | 0.009 |
| SOD on liver | U/mg protein | 21 | 158 | 197 | 176 | 0.312 |
| MDA on liver | nmol/mL | 15 | 4.28 | 3.86 | 4.01 | 0.546 |
| Immunoglobulin (Ig) and complement (C) | ||||||
| IgA | g/L | 12 | 0.040 | 0.044 | 0.044 | 0.977 |
| IgG | g/L | 12 | 0.045 | 0.054 | 0.051 | 0.861 |
| IgM | g/L | 12 | 0.041 | 0.054 | 0.054 | 0.776 |
| C3 | g/L | 12 | 0.035 | 0.046 | 0.049 | 0.714 |
| C4 | g/L | 12 | 0.028 | 0.031 | 0.029 | 0.975 |
BW, body weight; nd, no available data; H/L, heterophil/lymphocyte; MT, Metallothionein; RQ, relative quantities of MT mRNA to β-actin mRNA in which RQ calculated by using this formula 2−ΔΔCt (Ct=threshold cycle); SOD, superoxide dismutase; MDA, malonaldehyde.
Different superscripts within the same row are significantly different at p<0.05.
Regression equations on the influence of zinc doses (in mg/kg of diet) on production performance, zinc concentration in tissue and bone, deposition of calcium and phosphorous in tibia of broilers
| Response parameter | Unit | Model | N | Parameter estimates | Model estimates | ||||
|---|---|---|---|---|---|---|---|---|---|
|
|
| ||||||||
| Intercept | SE intercept | Slope | SE slope | p-value | AIC | ||||
| Production performance | |||||||||
| Average daily gain | g/bird/d | Q | 195 | 39.5 | 3.48 | 0.0691 | 0.0260 | 0.008 | - |
| −0.00037 | 0.000149 | 0.0131 | 1,355 | ||||||
| Feed conversion ratio | g feed/g gain | Q | 154 | 1.75 | 0.0546 | −0.00083 | 0.000359 | 0.0223 | - |
| 5.48E-6 | 1.98E-6 | 0.0060 | −225 | ||||||
| Mortality | % | L | 12 | 0.30 | 0.962 | 0.0085 | 0.0085 | 0.344 | 51.6 |
| Average daily intake | g/bird/d | L | 174 | 71.1 | 6.66 | 0.018 | 0.014 | 0.21 | 1,310 |
| Carcass percentage | % | L | 14 | 68.7 | 2.66 | 0.0073 | 0.0120 | 0.552 | 69.1 |
| Abdominal fat | % | L | 11 | 1.01 | 0.219 | −0.0027 | 0.00179 | 0.166 | 16.4 |
| Zinc concentration | |||||||||
| Plasma | μg/mL | Q | 76 | 1.35 | 0.215 | 0.010 | 0.00166 | <0.0001 | - |
| −0.00004 | 8.56E-6 | <0.0001 | 58.9 | ||||||
| Tibia | mg/kg ash basis | Q | 96 | 248 | 26.6 | 2.82 | 0.387 | <0.0001 | - |
| −0.0121 | 0.00227 | <0.0001 | 1,091 | ||||||
| Liver | μg/g dry matter | L | 27 | 2.01 | 0.25 | −0.00056 | 0.00057 | 0.339 | 11.4 |
| Meat | μg/g | Q | 20 | 24.3 | 3.15 | 0.157 | 0.051 | 0.0083 | - |
| −0.00124 | 0.000482 | 0.0219 | 113 | ||||||
| Minerals on Tibia | |||||||||
| Calcium | % | L | 21 | 32.1 | 4.42 | 0.018 | 0.010 | 0.08 | 115 |
| Phosphorous | % | L | 18 | 15.3 | 0.99 | 0.0031 | 0.0044 | 0.496 | 64.1 |
| Blood parameters | |||||||||
| Total of protein | g/L | L | 12 | 28.6 | 1.46 | 0.023 | 0.017 | 0.215 | 62.9 |
| Albumin | g/L | L | 12 | 13.7 | 1.03 | 0.004 | 0.012 | 0.756 | 56.1 |
SE, standard error; AIC, akaike information criterion; Q, quadratic; L, linear.
AIC is an estimator of the relative quality of statistical models for a given set of data (smaller is better).
Influence of zinc forms on production performance, zinc concentration in tissue and bone, deposition of calcium and phosphorous in tibia of broilers
| Response parameter | Unit | N | Zinc form | p-value | ||
|---|---|---|---|---|---|---|
|
| ||||||
| Control | Organic | Inorganic | ||||
| Dose average | mg/kg | 0 | 62.83 | 62.89 | ||
| Production performance | ||||||
| Average daily gain | g/bird/d | 195 | 39.2 | 42.2 | 41.4 | 0.222 |
| Feed conversion ratio | g feed/g gain | 154 | 1.78 | 1.72 | 1.73 | 0.017 |
| Mortality | % | 12 | 0 | 1.28 | 1.30 | 0.707 |
| Average daily intake | g/bird/d | 174 | 70.4 | 72.6 | 72.3 | 0.56 |
| Carcass | % | 14 | 68.1 | 69.4 | 69.5 | 0.448 |
| Abdominal fat | % | 11 | 1.18 | 0.98 | 0.68 | 0.034 |
| Zinc concentration | ||||||
| Plasma | μg/mL | 76 | 1.31 | 1.65 | 1.88 | <0.0001 |
| Tibia | mg/kg ash basis | 96 | 230 | 343 | 369 | <0.0001 |
| Liver | μg/g dry matter | 29 | 87.6 | 97.4 | 96.4 | 0.352 |
| Meat | μg/g | 20 | 24.5 | 27.5 | 26.2 | 0.077 |
| Minerals on Tibia | ||||||
| Calcium | % | 21 | 30.5 | 33.7 | 33.5 | 0.023 |
| Phosphorous | % | 18 | 14.7 | 16.6 | 15.2 | <0.0001 |
| Blood parameters | ||||||
| Serum total of protein | g/L | 12 | 27.5 | 30.8 | 30.4 | 0.363 |
| Albumin | g/L | 12 | 13.4 | 14.3 | 13.8 | 0.857 |
Different superscripts within the same row are significantly different at p<0.05.