| Literature DB >> 36077998 |
Arif Darmawan1,2,3, Widya Hermana1, Dwi Margi Suci1, Rita Mutia1, Anuraga Jayanegara1,3, Ergin Ozturk2.
Abstract
The present study aimed to assess the impact of dietary phytogenic extracts on laying hen productivity, egg quality, blood constituents, antioxidant, and immunological parameters through a meta-analytical approach. A total of 28 articles (119 data points) reporting the influence of dietary phytogenic extracts on the productive performance, egg quality, blood constituents, immunological, and antioxidant parameters of laying hens were embedded into a database. Statistical analysis was performed using a mixed model, with different studies treated as random effects and phytogenic extract levels treated as fixed effects. This meta-analysis revealed that dietary phytogenic extracts quadratically (p < 0.05) improved egg production and egg mass as well as decreased (p < 0.05) the feed conversion ratio (FCR) with no adverse effect on egg weight and egg quality. Feed intake and egg yolk percentage tended to increase linearly (p < 0.1). Total serum cholesterol and low-density lipoprotein (LDL) declined quadratically (p < 0.001 and p < 0.05, respectively), high-density lipoprotein (HDL) increased linearly (p < 0.001), and malondialdehyde (MDA) decreased linearly (p < 0.01), with increasing levels of dietary phytogenic extract. In addition, immunoglobulin G (IgG), immunoglobulin A (IgA), glutathione peroxidase (GSH-Px), and total superoxide dismutase (TSOD) increased linearly (p < 0.05) in line with the increase in dietary phytogenic extract level. It was concluded that the inclusion of phytogenic extracts in the diet of laying hens had a positive effect on productive performance, feed efficiency, egg mass, immunity, and antioxidant activity without interfering with egg quality. The optimum level of feed photogenic extract for egg production and feed efficiency was determined to be around 300 mg/kg feed.Entities:
Keywords: bioactive compounds; egg; laying hens; meta-analysis; polyphenol
Year: 2022 PMID: 36077998 PMCID: PMC9454511 DOI: 10.3390/ani12172278
Source DB: PubMed Journal: Animals (Basel) ISSN: 2076-2615 Impact factor: 3.231
Figure 1Flowchart of identification, screening, and inclusion process of meta-analysis database.
Studies descriptions included in the database.
| Author | Source | Main Bioactive Compound | Extract Level (mg/kg) | Chicken Breeds | Number of Birds | Age (Week) |
|---|---|---|---|---|---|---|
| Rahman et al. [ |
| menthol, menthone, menthyl acetate | 0–200 | Babcock | 252 | 21–30 |
| Oh et al. [ | caffeic, p-coumaric, ferulic, gallic acids, tannins, terpenoids, naphthoquinones | 0–750 | Hy-lyne brown | 120 | 50–56 | |
| Liu et al. [ | commercial product | quercetin | 0–600 | Hessian | 240 | 28–36 |
| Ying et al. [ | commercial product | quercetin | 0–600 | Hessian | 240 | 29–38 |
| Alagawany et al. [ |
| yuccaols, resveratrol | 0–150 | Hi-sex-brown | 96 | 36–52 |
| Ahmed et al. [ | hydroxytyrosol, vanillin, rutin, caffeic acid, catechin | 0–150 | Bandarah | 360 | 24–42 | |
| Iskender et al. [ | commercial product | hesperidin, naringin, quercetin | 0–500 | Lohmann white | 96 | 29–40 |
| Damaziak et al. [ | alicin, quercitin, gallic acid | 0–32 | ISA Brown | 216 | 22–32 | |
| Sun et al. [ | grape seed | procyanidins, proanthocyanidins | 0–150 | Hy-Line brown | 640 | 25–33 |
| Vakili and Heravi [ | thymol, carvacrol ( | 0–40 | Hy-Line | 200 | 26–38 | |
| Park et al. [ | 4-hydroxy isoleucine, trigonelline, carotenoids, coumarins, saponins | 0–1000 | Hy-Line brown | 96 | 36–52 | |
| Simitzis et al. [ | commercial product | quercetin | 0–700 | Lohmann brown-classic | 192 | 70–74 |
| Damaziak et al. [ | gingerol, sholaol ( | 0–32 | ISA brown | 216 | 19–35 | |
| Xie et al. [ | luteolin, chlorogenic acid, caffeic acid ( | 0–1000 | Lohmann pink-shell | 1440 | 52–64 | |
| Song et al. [ |
| glucuronic acid, xylose, rhamnose, methyl pentose | 0–500 | Hy-Line brown | 180 | 26–38 |
| Huang et al. [ | theanine, theobromine, caffeine, catechins | 0–300 | Lohmann brown | 240 | 30–38 | |
| Huang et al. [ |
| naringin, neoeriocitrin, triterpenes, phenylpropanoids | 0–200 | Lohmann pink-shell | 216 | 54–67 |
| Dos Santos et al. [ | ellagic acid, gallic acid, catechin, quercetin | 0–200 | ISA Brown | 75 | 45–49 | |
| Kılınç and Karaoğlu [ | hypericin, hyperforin, flavonoids | 0–300 | Lohmann white | 336 | 40–52 | |
| Liu et al. [ |
| curcumin | 0–200 | Hy-Line brown | 240 | 40–46 |
| Mutlu and Yildirim [ |
| saponin glycosides (ginsenosides), essential oils sterols, flavonoids | 0–150 | Atak-S brown | 80 | 28–32 |
| Widjastuti et al. [ | xanthone, flavonoids, anthocyanins | 0–240 | Sentul | 40 | 20–32 | |
| Wen et al. [ | 6-gingerol, 8-gingerol, 10-gingerol | 0–100 | Hyline Brown | 288 | 40–48 | |
| Abad et al. [ | alicin, quercitin, gallic acid | 0–700 | Lohmann Brown | 180 | 36–40 | |
| Zhu et al. [ | Neohesperidin | neohesperidin | 0–400 | Lohmann | 240 | 66–74 |
| Guo et al. [ |
| sanguinarine, chelerythrine | 0–200 | Xuefeng black-bone | 576 | 47–59 |
| Peng et al. [ |
| chlorogenic acid, aucubin, geniposidic acid | 0–500 | Spotted-brown | 120 | 56–67 |
| Guo et al. [ | flavonoids, shikimic acid | 0–400 | Peking pink | 60 | 50–58 |
Figure 2Quadratic equation of dietary phytogenic extract (mg/kg) to egg production (%).
Regression equations for the impact of phytogenic extract levels on productive performances of laying hens.
| Parameter |
| Intercept | SE Intercept | Slope | SE Slope | RMSE | AIC | Model | Trend | |
|---|---|---|---|---|---|---|---|---|---|---|
| Egg production (%) | 72 | 83 | 1.77 | 0.0234 | 0.007055 | |||||
| −0.00004 | 0.000014 | 0.02 | 7.25 | 457 | Q | Positive | ||||
| Feed intake (g/hen/day) | 97 | 112 | 2.32 | 0.00315 | 0.00177 | 0.08 | 6.16 | 576 | L | Positive |
| FCR | 94 | 2.1 | 0.049 | −0.00027 | 0.000185 | |||||
| 0.000000431 | 0.00000012 | <0.001 | 0.21 | −36 | Q | Negative | ||||
| Egg weight (g/egg) | 102 | 61.2 | 0.78 | 0.000948 | 0.000639 | 0.14 | 2.21 | 349 | L | - |
| Egg mass (g/hen/day) | 101 | 49.6 | 2.47 | 0.0119 | 0.00388 | |||||
| −0.00002 | 0.0000074 | 0.03 | 4.38 | 450 | Q | Positive |
n, treatment number; RMSE, root mean square error; AIC, Akaike information criterion; SE, standard error; Q, quadratic; L, linear; FCR, feed conversion ratio.
Regression equations for the impact of phytogenic extract levels on the egg quality of laying hens.
| Parameter |
| Intercept | SE Intercept | Slope | SE Slope | RMSE | AIC | Model | Trend | |
|---|---|---|---|---|---|---|---|---|---|---|
| Eggshell thickness (mm) | 99 | 0.36 | 0.0056 | 0.000011 | 0.00000777 | 0.16 | 0.04 | 422 | L | - |
| Eggshell strength (Newton) | 92 | 37.4 | 0.91 | 0.00119 | 0.00118 | 0.32 | 5.86 | 514 | L | - |
| Albumen weight (%) | 21 | 60.8 | 1.88 | −0.00022 | 0.00155 | 0.89 | 2.41 | 93.3 | L | - |
| Egg yolk weight (%) | 42 | 27.2 | 1.21 | 0.000672 | 0.000367 | 0.08 | 1.31 | 155 | L | Positive |
| Eggshell weight (%) | 33 | 12.7 | 0.66 | 0.00102 | 0.001104 | 0.37 | 1.32 | 102 | L | - |
| Haugh unit | 119 | 85 | 1.41 | 0.00167 | 0.00157 | 0.29 | 7.34 | 559 | L | - |
n, treatment number; RMSE, root mean square error; AIC, Akaike information criterion; SE, standard error; L, linear.
Regression equations for the impact of phytogenic extract levels on egg yolk cholesterol and blood parameters of laying hens.
| Parameter |
| Intercept | SE Intercept | Slope | SE Slope | RMSE | AIC | Model | Trend | |
|---|---|---|---|---|---|---|---|---|---|---|
| Egg yolk cholesterol (mg/g) | 20 | 13.4 | 0.9 | −0.0132 | 0.00676 | 0.08 | 4.04 | 118 | L | Negative |
| Serum cholesterol (mg/dL) | 54 | 151 | 7.73 | −0.168 | 0.0318 | |||||
| 0.000239 | 0.000048 | <0.001 | 44.6 | 488 | Q | Negative | ||||
| LDL (mg/dL) | 36 | 50.7 | 8.49 | −0.0473 | 0.0128 | |||||
| 0.000042 | 0.000015 | 0.01 | 19.2 | 304 | Q | Negative | ||||
| HDL (mg/dL) | 37 | 34 | 7.38 | 0.00657 | 0.0028 | 0.03 | 12.6 | 284 | L | Positive |
| Total protein (g/L) | 42 | 54 | 2.44 | −0.00396 | 0.00515 | 0.45 | 11.9 | 288 | L | - |
| Glucose (mg/dL) | 25 | 204 | 22 | −0.0195 | 0.0302 | 0.53 | 22.2 | 216 | L | - |
| Albumin (g/dL) | 21 | 2.33 | 0.13 | −0.00028 | 0.000328 | 0.4 | 0.31 | 9 | L | - |
| AST (U/L) | 26 | 205 | 21.1 | −0.0292 | 0.0279 | 0.31 | 41.1 | 246 | L | - |
| ALT (U/L) | 23 | 2.64 | 0.69 | −0.00028 | 0.00103 | 0.8 | 0.97 | 66.1 | L | - |
n, treatment number; RMSE, root mean square error; AIC, Akaike information criterion; SE, standard error; Q, quadratic; L, linear; HDL, high-density lipoprotein; LDL, low-density lipoprotein; AST, aspartate aminotransferase; ALT, alanine aminotransferase.
Regression equations for the impact of phytogenic extract levels on immunological and antioxidant parameters of laying hens.
| Parameter |
| Intercept | SE Intercept | Slope | SE Slope | RMSE | AIC | Model | Trend | |
|---|---|---|---|---|---|---|---|---|---|---|
| IgG (mg/dL) | 22 | 3.56 | 0.75 | 0.00176 | 0.000593 | 0.01 | 0.74 | 38.7 | L | Positive |
| IgM (mg/dL) | 20 | 33.2 | 10.92 | 0.01073 | 0.01103 | 0.36 | 13.6 | 106.4 | Q | - |
| IgA (mg/dL) | 21 | 38.6 | 15.9 | 0.0158 | 0.00388 | 0.002 | 4.84 | 94.6 | L | Positive |
| TSOD (U/mL) | 33 | 194 | 18.8 | 0.0491 | 0.018 | 0.01 | 32.7 | 310 | L | Positive |
| GSH-Px (U/mL) | 28 | 7.56 | 0.86 | 0.0029 | 0.00122 | 0.03 | 7.4 | 160 | L | Positive |
| MDA (nmol/mL) | 21 | 4.21 | 0.16 | −0.00093 | 0.00024 | 0.002 | 1.44 | 59.3 | L | Negative |
n, treatment number; RMSE, root mean square error; AIC, Akaike information criterion; SE, standard error; Q, quadratic; L, linear; IgG, immunoglobulin G; IgA, immunoglobulin A; IgM, immunoglobulin M; TSOD, total superoxide dismutase; GSH-Px, glutathione peroxidase; MDA, malondialdehyde.