Abstract
This study was conducted to investigate the effects of brown seaweed (Undaria pinnatifida) by-product and seaweed fusiforme (Hizikia fusiformis) by-product supplementation on growth performance and blood profiles including serum immunoglobulin (Ig) in broilers. Fermentation of seaweeds was conducted by Bacillus subtilis and Aspergillus oryzae. In a 5-wk feeding trial, 750 one-d-old broiler chicks were divided into 5 groups, and were assigned to the control diet or experimental diets including control+0.5% brown seaweed (BS) by-product, control+0.5% seaweed fusiforme (SF) by-product, control+0.5% fermented brown seaweed (FBS) by-product, and control+0.5% fermented seaweed fusiforme (FSF) by-product. As a consequence, body weight gain (BWG) and gain:feed of seaweed by-product groups were clearly higher, when compared to those of control diet group from d 18 to 35 and the entire experimental period (p<0.05). In mortality rate, seaweed by-product groups were significantly lower when compared to control diet group during entire experimental period (p<0.05). However, Feed Intake of experimental diets group was not different from that of the control group during the entire experimental period. Whereas, Feed Intake of fermented seaweed by-product groups was lower than that of non-fermented seaweed groups (p<0.05). Total organ weights, lipids, and glutamic oxalacetic transaminase (GOT) of all treatment groups were not different from those of control group. However, glutamic pyruvate transaminase (GPT) of all treatment groups was higher than that of control group at d 17 (p<0.05). In case of serum Igs concentration, the concentration of IgA antibody in BS, SF, FSF treatment groups was significantly higher than in control group at d 35 (p<0.01). IgA concentration in FBS supplementation groups was negligibly decreased when compared to the control group. IgM concentration in the serums of all treatment groups was significantly higher than in control group (p<0.05) and in fermented seaweed by-product groups were much higher than in non-fermented seaweed groups (p<0.05). On the other hand, IgG concentrations in all treatment groups were lower than in control group (p<0.05). Taken together, our results suggest that by-product dietary supplementation of BS, SF, FBS, and FSF in poultry may provide positive effects of growth performance and immune response.
Keywords: Broiler, Fermentation, Growth Performance, Immunoglobulin, Seaweed
INTRODUCTION
In the poultry industry, feed additives and antibiotics have been used worldwide more than 50 years to enhance growth performance as well as to prevent infection of pathogens and disease. However, dietary antibiotics utilization resulted in common problems by food chain from animals to man, such as development of antibiotic resistant bacteria (Phillips et al., 2004). As a consequence, antibiotic resistant and banned antibiotics have stimulated research to find effective feed additive in the world, such as herbal products, marine natural products, organic acids, microflora enhancers, probiotics, prebiotics, or combinations of these products (Engberg et al., 2000; Ayaşan and Okan, 2001, Cabuk et al., 2006; Midilli et al., 2008, Ayaşan, 2013). One of them, seaweed contains various biologically active components with different structures and functional properties (Jimenez-Escrig et al., 2011; Liu et al., 2012). In addition, the field of natural marine products have been expanded gradually (Wijesinghe and Jeon, 2012). As production of seaweeds was increased, waste of seaweed by-products was increased in the world. Therefore, the about 50% of wastes produced from brown seaweed (BS) and seaweed fusiforme (SF) has been dumped in the ocean, despite seaweeds contain edible sporophyll and root (Ahn et al., 2004). As component of seaweeds and seaweed by-products were substantially similar, seaweed by-product considered to be useful by feed additive.
Bioactive components in seaweeds include polyphenols, peptides, and polysaccharides (Zhang et al., 2007; Jimenez-Escrig et al., 2011). Many of these active compounds were useful functional ingredients with numerous health benefits (Yuan and Walsh, 2006; Kim and Joo, 2008). Functional polysaccharides such as fucans and alginic acid, derivatives produced by seaweeds, are known to exhibit biologically beneficial properties including anticoagulant, anti-inflammatory, antiviral and antitumoral activities (Wijesinghe adn Jeon, 2012), and dietary supplementation with seaweed gives positive effects in broilers (Ventura et al., 1994). Although, however, numerous studies were reported that seaweeds have potential as effective additives, some of seaweed components could interfere with bioavailability of diet (Michel et al., 1996; MacArtain et al., 2007), and availability could be decreased in animals (Katayama et al., 2011). In this regard, research for SF by-products and increased availability by them has not been performed by fermentation.
Therefore, this study was conducted to determine bioavailability improvement of feed diet by seaweed fermentation, and to evaluate growth performance and blood profiles in broilers fed with by-product of BS and SF.
MATERIALS AND METHODS
Microbes and fermentation measurement
By-products of BS (Undaria pinnatifida) and SF (Hizikia fusiformis) were collected from Wando island (South Korea). Fermentation was performed using five different types of microbes: Bacillus subtilis, Pediococcus acidilacti, Pediococcus pentosaceus, Saccharomyces cerevisiae, and Aspergillus oryzae (Table 1). Microbes were selected for experiment using animal on the basis of seaweed decomposition, pathogenicity and exchange ratio of the sugar contents. The capability of seaweed decomposition was calculated by ratio of reduced sugar. End-point criteria of fermentation were determined by total sugar, reduced sugar, and pH. Fermentation condition was handled according to the optimum growth conditions based on American type culture collection guideline (Sneath et al., 1986). Light microscope (Olympus, Japan), and scanning electron microscope (Phillips, Andover, MA, USA) were employed to compare on seaweed by-products after fermentation.
Table 1.
Strains | Classification | Origin |
---|---|---|
Bacillus subtilis | Bacteria | ATCC1 21228 |
Pediococcus acidilactis | Bacteria | Kimchi2 |
Pediococcus pentosaceus | Bacteria | Yogurt3 |
Saccharomyces cerevisiae | Yeast | ATCC 24858 |
Aspergillus oryzae | Fungi | ATCC 14895 |
ATCC, American type culture collection.
Isolation and identification from Kimchi.
Isolation and identification from Yogurt.
Animal and experimental design
A total of 750 of one-d-old Ross male (44.17±0.05) chicks were randomly allocated to five treatments replicated five times in such a way that each had 30 birds. The experiment was conducted as a completely randomized design with a control and 2×2 factorial arrangement. Birds were randomly distributed in each pen (W×H×D: 180 cm×180 cm×200 cm) according to similar body weight (BW). Experimental diets were formulated according to NRC guideline (1994, Table 4). Treatments included control (basal diet), control+0.5% BS by-product, control+0.5% SF by-product, control+0.5% fermented brown seaweed (FBS) by-product, and control+0.5% fermented seaweed fusiforme (FSF) by-product. The experimental diets were fed to chicks for 5 wk with plan of both starter diet (d 0 to 17) and subsequently grower diet (d 18 to 35). Total chick’s weight of each pen was established to be equal, and feeder was separately allocated at each pen. Ten water nipples were also allocated to be equivalent space at each pen. Feed and water were provided ad-libitum. Ambient temperature was maintained 33°C on d 0 and was maintained 29°C on the rest weeks. Humidity was maintained to be higher than 60%.
Table 4.
Item | Starter (d 0 to 17) | Finisher (d 18 to 35) |
---|---|---|
Ingredient (%, fed basis) | ||
Yellow corn | 56.40 | 60.00 |
Soybean meal (CP, 46.17%) | 25.80 | 20.40 |
Corn gluten meal (CP, 62.22%) | 3.00 | 5.00 |
Full fat soybean (CP, 36.5%) | 5.00 | 5.00 |
Finish meal | 2.00 | 2.00 |
Tallow | 4.30 | 4.20 |
Dicalcium phosphate | 1.74 | 1.62 |
Limestone | 0.96 | 1.07 |
Salt | 0.22 | 0.22 |
L-lysine·HCl (78%) | 0.18 | 0.16 |
DL-methionine (98%) | 0.20 | 0.10 |
L-threonine (99%) | 0.05 | 0.08 |
Vitamin and trace mineral premix1 | 0.15 | 0.15 |
Total | 100.00 | 100.00 |
Nutrient (%, as fed basis, analysis results) | ||
DM | 89.23 | 89.57 |
CP | 21.00 | 20.00 |
Ether extract | 7.75 | 7.75 |
Crude fiber | 2.96 | 2.96 |
Crude ash | 5.67 | 5.67 |
Ca | 1.00 | 1.00 |
P | 0.71 | 0.71 |
Lysine | 1.24 | 1.24 |
Methionine | 0.58 | 0.58 |
TMEn2 (kcal/kg) | 3,150 | 3,200 |
CP, crude protein; DM, dry matter; TMEn, nitrogen-corrected true metabolizable energy.
Vitamin and trace mineral mixture powder provides the following nutrients per kg of diet; vitamin A, 12,000 IU; vitamin D3, 2,500 IU; vitamin E, 20 IU; vitamin K3, 1.8 mg; vitamin B1, 2,000 mg; vitamin B2, 6,000 mg; vitamin B6, 3.0 mg; vitamin B12, 20 μg; niacin, 25 mg; pantothenic acid, 10 mg; folic acid, 1.0 mg; biotin, 50 μg; Fe, 50 mg; Zn, 65 mg; Mn 65 mg; Co, 250 μg; Cu, 5 mg; I, 1.0 mg; Se, 150 μg.
Calculated value (NRC, 1994).
Growth performance and organ weight measurement
Body weight and feed intake were recorded on d 0, d 17, and d 35. Feed intake was determined by measuring feed residue on d 0, d 17, and d 35 bases from the start of the experiment. The ratio of gain:feed (G:F) was calculated as the body weight gain (BWG)/feed intake. Mortalities (%) were recorded daily, and data of feed intake were corrected for BW of dead birds. Mortality (%) was calculated as follows,
Spleen, bursa of fabricius, abdominal fat, and breast muscle weight were measured with each sample obtained from 2 chicks per each pen at d 35. The organ weight was calculated as g/100 g BW.
Blood profile and immunoglobulins (Ig) analysis
On d 17 and d 35, 2 chicks were randomly selected from each pen, and blood samples were collected from brachial vein using 5 mL syringe (BD, Franklin Lakes, NJ, USA), and then were immediately centrifuged at 1,500×g for 15 min at 4°C. Each serum after centrifugation was stored at −20°C until use. Lipid layers of blood were analyzed for content comparison of triglyceride, total-cholesterol, high-density lipoprotein cholesterol, glutamic oxaloacetic transaminase (GOT), and glutamic pyruvic transaminase (GPT) using automated blood analyzer (Sysmex, Seoul, Korea). Immunoglobulins (Ig)A, IgG, and IgM antibodies were detected using enzyme-linked immunosorbent assay kits (BETHYL, Montgomery, TX, USA). Absorbance for detection was determined at 470 nm using a microplate reader (Bio-Tek, Winooski, VT, USA).
Statistical analysis
Data were analyzed using the MIXED procedure of SAS (SAS Inst. 2011) as a completely randomized design. Model was
Where, μ is average value, Ti is treatment value, Eij is the error value. Fixed effect was supplement effect; random effect was not considered in procedure. Orthogonal contrasts were used to study seaweed effect and fermentation effect using CONTRAST option. Contrasts included control versus by-product supplement (contrast 1), BS by-product versus SF by-product (contrast 2); non-fermented by-product vs. fermented by-product (contrast 3); interaction between seaweed source and fermentation (contrast 4). Significant differences among the treatments were determined at p<0.05 whereas a trend was expressed when p<0.10. All means presented are least square means.
RESULT AND DISCUSSION
Microbes and fermentation
Five microbes were compared on the basis of commercial potential, pathogenicity, as well as exchange ratio of the reduced sugar contents during fermentation periods (Table 2). Finally, two different types microbes, Bacillus subtilis and Aspergillus oryzae, were selected for next experiment. Comparison of the chemical compositions in between BS and FBS showed considerable increase of carbohydrates contents from 29.84% to 45.13%, and comparison in between SF and FSF also showed considerable increase from 40.73% to 49.20% (Table 3). The other chemicals were shown minimal variations. As well, gradual decrease of pH by microbes during fermentation was observed in both cases as time goes on (Figures 1 and 2). On the contrary, increase of total sugars and reduced sugars by microbes was also observed (Figures 1 and 2). Microscopic results of fermented seaweeds by-product indicate that fermentation may affect each by-product to morphological changes to increase carbohydrate digestibility in broilers (Figure 3).
Table 2.
Strains | Sugar contents (μg/mL) | |||
---|---|---|---|---|
| ||||
FBS | FSF | |||
|
|
|||
Total | Reduced | Total | Reduced | |
Bacillus subtilis | 372.2 | 6.53 | 206.7 | 21.5 |
Pediococcus acidilactis | 224.1 | 0.63 | 986.7 | 26.3 |
Pediococcus pentosaceus | 479.6 | 7.04 | 1048.0 | 20.0 |
Saccharomyces cerevisiae | 92.6 | 2.64 | 908.2 | 23.2 |
Aspergillus oryzae | 144.2 | 0.80 | 771.4 | 28.5 |
FBS, fermented brown seaweed by-product; FSF, fermented seaweed fusiforme by-product.
Table 3.
Chemical composition (% DM) | Treatment | |||
---|---|---|---|---|
| ||||
BS | FBS | SF | FSF | |
CP | 17.38 | 18.41 | 18.41 | 20.04 |
Ether extract | 0.57 | 0.85 | 0.11 | 0.12 |
Carbohydrate2 | 29.84 | 45.13 | 40.73 | 49.20 |
Crude ash | 28.42 | 20.22 | 16.63 | 15.04 |
Ca | 0.93 | 1.27 | 0.87 | 0.93 |
P | 0.28 | 0.37 | 0.11 | 0.12 |
Fe | 0.59 | 0.98 | 1.43 | 0.16 |
Zn | 0.24 | 0.31 | 0.15 | 0.17 |
Mg | 0.69 | 0.01 | 0.01 | 0.01 |
K | 0.63 | 0.41 | 0.32 | 0.36 |
Na | 0.72 | 0.55 | 0.16 | 0.22 |
DM, dry matter; BS, brown seaweed by-product; FBS, fermented brown seaweed by-product; SF, seaweed fusiforme by-product; FSF, fermented seaweed fusiforme by-product; CP, crude protein.
Calculated value = [Sample 100 g−(moisture+CP+ether extract+crude ash)]/100 g×100.
Growth performance
Body weight was not different between all treatment groups as well as the control group when measured at d 0, d 17, and d 35 (Table 5). The BWG was also not different between all treatment groups and the control group at the beginning (d 0). However, body weight gain of BS, SF, FBS, and FSF was clearly higher than that of the control group both in the growth period and in the entire experimental periods (p<0.05). Feed intake in all treatment groups was not different from that of the control group in the entire experimental period, except for contrast 3 during d 0 to 17. In feed intake contrast 3 at d 0 to 17, it in non-fermented groups was higher than in fermented groups (p<0.05). Gain:feed was improved both at the growth period and in the entire experimental periods when compared with the control group (p<0.05). Mortality (%) of all treatments was clearly lower when compared to the control group (p<0.05).
Table 5.
Items | Period (d) | Treatment2 | SEM | Contrast3 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
|
|
||||||||||
CON | BS | FBS | SF | FSF | 1 | 2 | 3 | 4 | |||
BW (g/bird) | 0 | 44.5 | 44.5 | 44.4 | 44.5 | 44.4 | 0.39 | 0.624 | 1.000 | 1.000 | 1.000 |
17 | 498 | 507 | 480 | 492 | 481 | 13.1 | 0.534 | 0.533 | 0.100 | 0.474 | |
35 | 1,795 | 1,872 | 1,840 | 1,835 | 1,807 | 41.1 | 0.185 | 0.226 | 0.293 | 0.938 | |
BWG (g/bird) | 0 to 17 | 454 | 463 | 436 | 448 | 437 | 13.1 | 0.526 | 0.534 | 0.103 | 0.474 |
18 to 35 | 1,222 | 1,321 | 1,324 | 1,287 | 1,278 | 30.8 | 0.004 | 0.088 | 0.875 | 0.785 | |
0 to 35 | 1,626 | 1,750 | 1,730 | 1,693 | 1,678 | 41.1 | 0.015 | 0.076 | 0.541 | 0.928 | |
Feed intake (g/bird) | 0 to 17 | 1,014 | 1,122 | 997 | 1,094 | 996 | 19.9 | 0.105 | 0.473 | <0.001 | 0.495 |
18 to 35 | 2,434 | 2,364 | 2,313 | 2,312 | 2,368 | 38.0 | 0.147 | 0.977 | 0.958 | 0.356 | |
0 to 35 | 3,356 | 3,437 | 3,265 | 3,345 | 3,304 | 61.9 | 0.795 | 0.677 | 0.101 | 0.302 | |
G:F | 0 to 17 | 0.44 | 0.42 | 0.44 | 0.43 | 0.44 | 0.014 | 0.319 | 0.916 | 0.159 | 0.857 |
18 to 35 | 0.50 | 0.56 | 0.57 | 0.56 | 0.54 | 0.014 | 0.003 | 0.233 | 0.854 | 0.317 | |
0 to 35 | 0.48 | 0.51 | 0.53 | 0.51 | 0.51 | 0.012 | 0.036 | 0.286 | 0.367 | 0.440 | |
Mortality (%) | 0 to 35 | 6.00 | 1.33 | 0.67 | 2.00 | 0.67 | 0.329 | <0.001 | 0.764 | 0.372 | 0.764 |
BS, brown seaweed by-product; FBS, fermented brown seaweed by-product; SF, seaweed fusiforme by-product; FSF, fermented seaweed fusiforme by-product; SEM, standard error of the mean; BW, body weight; BWG, body weight gain; G:F, ratio of gain:feed.
Each least square means represents 5 pens of 30 birds per pen.
CON = Basal diet; BS = Basal diet+0.5% BS by-product; FBS = Basal diet+0.5% FBS by-product; SF = Basal diet+0.5% SF by-product; FSF = Basal diet+0.5% FSF by-product.
1 = Control vs by-product supplement; 2 = BS by-product vs SF by-product; 3 = Non-fermented by-product vs fermented by-product; 4 = Interaction between seaweed source and fermentation.
It was previously reported that dietary supplementation of red algae affects feed efficiency in broiler (El-Deek adn Brikaa, 2009), and dietary supplementation of microbes also affect feed efficiency (Shimada et al., 2004). In this study, we showed that supplementation of BS and SF has positive effect, increasing BWG, G:F, and mortality (p<0.05). Although BW of all treatment groups was not different from that of the control group, magnitude of BWG improvement was 2%, on average. As well, magnitude of BWG improvement was over 4%, on average because BS and SF addition may have a positive effect in broiler. Although, in case of feed intake for seaweed source versus fermentation, our result showed that fermentation decreases feed intake and palatability during d 0 to 17 (El-Deek and Brikaa, 2009), and feed intake is not different from that of the control group after d 18. This result suggests that chicks are adapted for experimental feeding. On the other hands, Cabuk et al. (2006) reported that seaweeds does not give directly affects in mortalities. Thus, our result regarding mortality (%), may be affected through the microbes fermentation.
The organ weights of all treatment groups when sacrificed at d 35 were not different from that of the control group (Table 6). It was previously reported that organ weight is affected by dietary probiotics supplementation (Awad et al., 2009). However, Lokaewmanee et al. (2012) reported that weight of organs has no difference between in group of dietary fermented plant products supplementation and in control group, except for total visceral weights on poultry. In this study, likewise, weight of organs had no difference between in the control and in all treatment groups. This result indicates that amounts of fed microbes may be lower than probiotics.
Table 6.
Items | Treatment2 (g/100 g BW) | SEM | Contrast3 | |||||||
---|---|---|---|---|---|---|---|---|---|---|
|
|
|||||||||
CON | BS | FBS | SF | FSF | 1 | 2 | 3 | 4 | ||
Spleen | 0.103 | 0.108 | 0.117 | 0.107 | 0.103 | 0.169 | 0.539 | 0.390 | 0.873 | 0.426 |
Bursa of fabricius | 0.187 | 0.208 | 0.190 | 0.169 | 0.167 | 0.285 | 0.980 | 0.070 | 0.350 | 0.593 |
Abdominal fat | 1.702 | 1.702 | 1.681 | 1.448 | 1.778 | 1.999 | 0.937 | 0.660 | 0.245 | 0.116 |
Breast muscle | 8.340 | 7.799 | 8.356 | 7.767 | 8.317 | 4.590 | 0.768 | 0.639 | 0.100 | 0.978 |
BW, body weight; BS, brown seaweed by-product; FBS, fermented brown seaweed by-product; SF, seaweed fusiforme by-product; FSF, fermented seaweed fusiforme by-product; SEM, standard error of the mean.
Each least square means represents 5 pens of 2 birds per pen.
CON = Basal diet; BS = Basal diet+0.5% BS by-product; FBS = Basal diet+0.5% FBS by-product; SF = Basal diet+0.5% SF by-product; FSF = Basal diet+0.5% FSF by-product.
1 = Control vs by-product supplement; 2 = BS by-product vs SF by-product; 3 = Non-fermented by-product vs fermented by-product; 4 = Interaction between seaweed source and fermentation.
Blood profiles
Blood profiles in all treatment groups were not different from that in the control group, but GPT of all treatment groups was higher than in control group from d 0 to d 17 (p<0.05) (Table 7). Likewise, it was reported that supplementation of FBS to broilers does not affect at blood composition (Lokaewmanee et al., 2012). As well, fed seaweed extract was reported to decrease oxidative stress such as GOT, GPT concentration on animals (Kang et al., 2008). However, our result shows that GPT in all treatment groups was higher than in the control at d 17 (p<0.05). These results may be due to effect of detoxification by microbes in the liver in feed additives on broiler (El-Husseiny et al., 2008).
Table 7.
Items | Period (d) | Treatment2 | SEM | Contrast3 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
|
|
||||||||||
CON | BS | FBS | SF | FSF | 1 | 2 | 3 | 4 | |||
Triglyceride (mg/dL) | 17 | 118.6 | 120.4 | 122.8 | 110.9 | 118.4 | 11.15 | 0.943 | 0.513 | 0.641 | 0.810 |
35 | 53.6 | 54.8 | 53.9 | 54.9 | 55.3 | 3.46 | 0.760 | 0.820 | 0.940 | 0.844 | |
Total-cholesterol (mg/dL) | 17 | 145.0 | 153.0 | 154.2 | 160.4 | 152.7 | 7.11 | 0.286 | 0.663 | 0.631 | 0.512 |
35 | 154.2 | 138.8 | 147.6 | 146.8 | 148.3 | 6.37 | 0.126 | 0.355 | 0.375 | 0.547 | |
HDL-cholesterol (mg/dL) | 17 | 106.7 | 111.7 | 113.4 | 122.0 | 115.0 | 5.64 | 0.166 | 0.197 | 0.573 | 0.360 |
35 | 111.3 | 96.9 | 104.4 | 106.3 | 96.9 | 4.53 | 0.133 | 0.903 | 0.843 | 0.157 | |
GOT (IU/L) | 17 | 181.0 | 182.8 | 181.2 | 187.1 | 174.5 | 5.81 | 0.958 | 0.828 | 0.203 | 0.322 |
35 | 235.4 | 241.3 | 232.4 | 217.8 | 236.0 | 9.47 | 0.708 | 0.241 | 0.581 | 0.113 | |
GPT (IU/L) | 17 | 0.50 | 0.88 | 1.21 | 1.60 | 1.30 | 0.28 | 0.038 | 0.118 | 1.000 | 0.237 |
35 | 2.42 | 2.01 | 2.19 | 2.33 | 2.04 | 0.28 | 0.365 | 0.853 | 0.852 | 0.358 |
BS, brown seaweed by-product; FBS, fermented brown seaweed by-product; SF, seaweed fusiforme by-product; FSF, fermented seaweed fusiforme by-product; SEM, standard error of the mean; GOT, glutamic oxaloacetic transaminase; GPT, glutamic pyruvic transaminase.
Each least square means represents 5 pens of 2 birds per pen.
CON = Basal diet; BS = Basal diet+0.5% BS by-product; FBS = Basal diet+0.5% FBS by-product; SF = Basal diet+0.5% SF by-product; FSF = Basal diet+0.5% FSF by-product.
1 = Control vs by-product supplement; 2 = BS by-product vs SF by-product; 3 = Non-fermented by-product vs fermented by-product; 4 = Interaction between seaweed source and fermentation.
Immunoglobulin concentration
Immunoglobulin concentration in the serum was measured in broiler fed for 35 d (Table 8). As a result, the concentration of IgA antibody in the supplementation group were considerably higher than in the control group, except FBS supplemented group (p<0.01). As well, IgA antibody concentration was increased by fermentation both in SF and FSF group when compared to control group (p<0.01). Interestingly, FSF supplementation in broiler showed significant increase of IgA antibody concentration when compared to SF group, meaning positive effects of fermentation with seaweed fusiform. In case of IgG antibody, its concentration in the supplemented groups were significantly lower than in the control group (p<0.01). As well, it was observed that IgG antibody concentration was decreased in the both of BS and SF non-fermented group (p<0.01). Furthermore, IgG antibody reduction rate of BS group was significantly higher than in SF group (p<0.01), suggesting importance of seaweed source. In case of IgM antibody, all treatment groups were significantly higher than in the control group (p<0.05). IgM concentration was the most highly increased in FBS and FSF group, compared to other groups including control group (p<0.05). In addition, IgM concentration in the fermentation groups were higher than in the non-fermentation groups (p<0.01). It means that supplementation of fermented seaweeds in the diet may increase IgM antibody concentration in broiler (p<0.01).
Table 8.
Items | Treatment2 (35 d) | SEM | Contrast3 | |||||||
---|---|---|---|---|---|---|---|---|---|---|
|
|
|||||||||
CON | BS | FBS | SF | FSF | 1 | 2 | 3 | 4 | ||
IgA (mg/dL) | 203 | 228 | 199 | 226 | 241 | 4.9 | 0.003 | <0.001 | 0.130 | <0.001 |
IgG (mg/dL) | 679 | 564 | 372 | 652 | 609 | 14.7 | <0.001 | <0.001 | <0.001 | <0.001 |
IgM (mg/dL) | 176 | 188 | 214 | 182 | 218 | 8.0 | 0.030 | 0.839 | <0.001 | 0.451 |
BS, brown seaweed by-product; FBS, fermented brown seaweed by-product; SF, seaweed fusiforme by-product; FSF, fermented seaweed fusiforme by-product; SEM, standard error of the mean; Ig, immunoglobulin.
Each least square means represents 5 pens of 2 birds per pen.
CON = Basal diet; BS = Basal diet+0.5% BS by-product; FBS = Basal diet+0.5% FBS by-product; SF = Basal diet+0.5% SF by-product; FSF = Basal diet+0.5% FSF by-product.
1 = Control vs by-product supplement; 2 = BS by-product vs SF by-product; 3 = Non-fermented by-product vs fermented by-product; 4 = Interaction between seaweed source and fermentation.
Allen and Pond (2002) recently reported that seaweed extract improved activation of immune system in poultry and mammals. In accord with their results, the increased serum concentration of IgA antibody in BS, SF, and FSF, and the increase of IgM antibody in BS, SF, FBS, and FSF groups suggest that the immune system for antibody production in broiler may be improved by supplementation of fermented seaweeds with microbes in diets.
Therefore, although fermentation does not affect on growth performance and blood profiles in broiler, BS and SF may be considered as effective feed additives on poultry. In addition, the modulation of IgA, IgM, and IgG antibody by supplementation of fermented seaweed in broiler may be connected to reinforcement of physical health by activation of humoral immune response in that antibodies are involved in poultry.
CONCLUSION
Brown seaweed and SF have a lot of biological effects and a large amount of by-product was produced annually in the world. Although seaweeds have low digestibility and utilization in the animals, fermentation technique may assist the increase of reutilization and digestibility. In addition, fermentation may improve growth performance and immune response. Although, in this study, fermentation effect was minimal, supplementation of BS and SF had a great effect on growth performance. In conclusion, our results suggest that dietary supplementation of by-product of BS, SF, FBS, and FSF in poultry may improve growth performance and immune response.
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