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Revista Brasileira de Zootecnia

On-line version ISSN 1806-9290

R. Bras. Zootec. vol.46 no.6 Viçosa June 2017

http://dx.doi.org/10.1590/s1806-92902017000600007 

Ruminants

Effects of increasing dietary concentrations of fish oil on lamb performance, ruminal fermentation, and leptin gene expression in perirenal fat

Pedro Abel Hernández-García1 

Germán David Mendoza-Martínez2  * 

Nallely Sánchez2 

José Antonio Martínez-García2 

Fernando Xicotencatl Plata-Pérez2 

Alejandro Lara-Bueno3 

Silene Mariella Ferraro2 

1Universidad Autónoma del Estado de México, Amecameca, Estado de México, México.

2Universidad Autónoma Metropolitana, Xochimilco, Departamento de Producción Agrícola y Animal, Mexico City, México.

3Universidad Autónoma Chapingo, Texcoco, Estado de México, México.

ABSTRACT

The objective of this study was to evaluate the effects of four levels of fish oil on lamb performance, carcass yield, ruminal fermentation, and leptin gene expression in perirenal fat. Thirty-two lambs (24.10±2.15 kg, Katahdin × Pelibuey) were used in a completely randomized experimental design. The lambs were assigned to one of four dietary treatments (n = 8 lambs/treatment), expressed as g/kg DM basis: 0 fish oil and 300 corn; 10 fish oil and 250 corn; 20 fish oil and 205 corn; and 30 fish oil and 170 corn. The lambs were weighed on consecutive days at the beginning (days 0 and 1) and at the end (days 55 and 56) of the trial. Ruminal fluid samples were collected on day 56 to evaluate the ruminal fermentation pattern. The lambs were slaughtered on day 56; perirenal adipose tissue samples were collected and the carcass yields were recorded. Volatile fatty acids, ammonia N, and leptin mRNA expression were not affected by the dietary treatments. However, the dry matter intake, average daily gain, final body weight, and the hot carcass yield showed either increased linear or quadratic responses as the proportion of fish oil increased in the ration; the estimated optimal level obtained of fish oil levels for average daily gain was 11.2±0.21 g/kg and 12.8±4.67 g/kg for feed conversion. Additionally, feed efficiency and backfat thickness had an increment, showing quadratic response as the proportion of fish oil increased in the diet. Increasing the fish oil concentration in the diet does not affect leptin messenger ribonucleic acid expression. The lamb performance can be improved with 12 g/kg fish oil in diets of finishing lambs.

Key Words: finshing lambs; oils; carcasss quality

Introduction

Fish oil has been incorporated into lamb diets at concentrations of 20-30 g/kg, based on forage or concentrate, with no effect on intake or daily gain (Marinova et al., 2007; Toral et al., 2009; Annett et al., 2011). Other studies have partially replaced vegetable oils with fish oil and attempted to avoid the negative effects of the omega-3 polyunsaturated fatty acids, which are present at high concentrations in fish oil, on lamb performance. Ferreira et al. (2014) evaluated fish oil concentrations from 2.5 to 7.5 g/kg in lamb finishing diets with 40 g/kg total oil and found no effect on intake, daily gain, or feed efficiency.

Nutrigenomics (the study of the bidirectional interactions between genes and diet) is a rapidly developing field that is changing research on nutrition (Zeisel and da Costa, 2009).

Leptin is a hormone primarily secreted by white adipocytes (Chilliard et al., 2005) and is a protein involved in the central and/or peripheral regulation of body homeostasis, energy intake, storage and expenditure, fertility, and immune functions (Ingvartsen and Boisclair 2001; Tokuda et al., 2000). The role of leptin is well documented in rodents and humans, increasing lipolysis and decreasing lipogenesis in the adipose tissues or in the liver (Havel et al., 2004; Sadri et al., 2011), but it is more poorly understood in ruminants (Chilliard et al., 2005). Chilliard et al. (2005) suggested that fatty acids, particularly linoleic, could stimulate leptin expression in ruminants as well as in rodents. However, in ruminants, the effects of fat ingestion on leptin blood concentrations have not been consistently demonstrated and the effects would likely depend on the amount of fat consumed or on other dietary interactions. Lambs supplemented with a high amount of rumen-protected fat increased leptin blood concentrations (Yildiz et al., 2003). Chilliard et al. (2001) found that leptin plasma concentrations were lower in a group fed a diet with moderate energy content compared with a group fed a high-energy diet. Similarly, leptin messenger ribonucleic acid (mRNA) expression increased in lactating goats fed sunflower seed oil and natural grassland hay, but not when fed an oil and corn silage diet (Bonnet et al., 2009).

It is important to identify the optimal concentration of fish oil in diet dry matter (DM), below the 30 g/kg limit that allows for improved gain and feed conversion. We hypothesized that performance variables would show a quadratic response to fish oil in the diet of lambs, associated with changes in leptin expression. Therefore, the objective of the current study was to evaluate lamb performance, ruminal fermentation characteristics, and the expression of the leptin gene in lambs fed a high-concentrate diet supplemented with varying concentrations of fish oil.

Material and Methods

All procedures were approved by the local Animal Care and Use Committee. The experiment was conducted in Huitzilac, Morelos, Mexico.

Thirty-two male lambs (24.10±2.15 kg, Katahdin × Pelibuey), housed in individual pens (0.80 × 1.75 m), were used in a completely randomized experimental design, where response variables were measured once; therefore, animal nested within treatment was the experimental unit. The lambs were dewormed with closantel sodium (5 mg/kg body weight); vaccinated for Clostridium perfringens types C and D, Clostridium novy, C. sordeli, C. chauvoei, and C. septicum (Ultrabac 7), and dosed with vitamins A, D, and E (Vigantol 2 mg/lamb). The lambs were assigned to one of four dietary treatments (n = 8 lambs/treatment), expressed as g/kg DM basis: 0 fish oil and 300 corn; 10 fish oil and 250 corn; 20 fish oil and 205 corn; and 30 fish oil and 170 corn (Table 1). The diets were balanced to be isocaloric and equal to or greater than the protein and metabolizable energy requirements of a 30 kg lamb gaining 200 g/d (NRC, 2007) and maintaining a Ca:P ratio of 2:1.

Table 1 Ingredients and nutritional composition of diets (dry matter basis) offered to finishing lambs 

Fish oil concentration (g/kg)
0 10 20 30
Ingredient
Fish oil 0 10 20 30
Corn 300 250 205 170
Sorghum 300 300 300 300
Corn gluten 50 50 50 50
Soybean meal 0 20 15 20
Cane molasses 110 110 110 110
Corn stover 210 230 270 290
Urea 10 10 10 10
Buffer1 10 10 10 10
Mineral premix2 10 10 10 10
Chemical composition (g/kg)
Dry matter 905.4 908.0 911.1 918.5
Organic matter 862.3 859.5 862.3 870.8
Crude protein 140.5 142.2 159.9 162.1
Neutral detergent fiber 308.1 313.0 314.8 321.4
Ether extract 23.7 31.3 40.1 49.1
Metabolizable energy (Mcal/kg)3 2.26 2.25 2.23 2.23

1Commercial buffer (Acid Buf) containing CaCO3 (750 g) and MgCO3 (190 g).

2Commercial mix (Vitasal Engorda Ovinos Plus) containing: Ca, 270 g; P, 30 g; Mg, 7.5 g; Na, 65.5 g; Cl, 100 g; K, 0.5 g; S, 42 mg; lasalocid, 2000 mg; Mn, 2000 mg; Fe, 978 mg; Zn, 3000 mg; Se, 20 mg; Co, 15 mg; vitamin A, 35,000 IU; vitamin D, 150,000 IU; and vitamin E, 150 IU.

3Estimated with NRC tables values.

The rations were ground (using a 1.25-cm screen) and mixed in a grinder-mixer (Vigusa, Mexico) and provided ad libitum in individual feeders (50-cm bunk space/lamb). In the first five days of the adaptation period, lambs were fed corn stover and alfalfa (50:5) and water ad libitum. From the sixth day, the lambs were gradually adapted to the experimental diet, replacing 200 g/kg of forages by the experimental diet every three days. Lambs had continuous access to water and were weighed on two consecutive days at the beginning (day 0 and day 1) and at the end of the trial (day 55 and day 56). Feed was provided at 08.00 and 15.00 h. All the lambs had free access to feed, ensuring 100 g refusal per kg from the daily quantity offered, and daily intake was calculated by weighing refusals daily.

Samples of the feed and the refusals were collected daily and composited every 14 days. The dry matter and total nitrogen content of the diets were analysed according to the AOAC (2000). The cell wall analyses were conducted according to the method of Van Soest et al. (1991). Rumen fluid (50 mL) was extracted on day 56 at 07.00 h by esophageal tube obtained before morning feeding with a flexible Tygon tube. Rumen fluid was obtained using an electric vacuum pump and before being strained through a cheesecloth layer, acidified with 1 mL of sulphuric acid (300 g/L), and stored in a freezer (-20 °C) for further analyses. The volatile fatty acids were measured using gas chromatography of samples prepared with metaphosphoric acid (Erwin et al., 1961) and the ammonia N was colorimetrically analysed (McCullough, 1967).

The performance variables were daily feed intake, average daily gain, feed efficiency (ratio of kg gained per kg feed intake), hot carcass yield, and ultrasound back fat of the Longissimus dorsi muscle area. The hot carcass yield was obtained following slaughter of the lambs on day 56 and the ultrasound back fat was assessed one day before slaughter (Silva et al., 2005).

Samples from the perirenal adipose deposits were removed via biopsy techniques within 4 min after slaughter to determine expression of leptin mRNA (Kumar et al., 1998) and total RNA was isolated from the fat by homogenization of tissue (Tissue-TearorTM, Daigger®, Daigger & Company Inc.) in Tri Reagent R (Sigma Chemical Co. Ltd.). Total RNA was used for reverse transcription and Leptin mRNA expression was quantified with realtime polymerase chain reaction (PCR) using the forward and reverse primers, 5’-ACAACACACGATGGAAGCAT-3’ and 5’- ACCCCAAAAAGCCTGGAAAA-3, and total number of cDNA copies was estimated as described by Tricarico et al. (2002).

Data were tested for the Shapiro-Wilk test of normality and results were analysed according to a completely randomized design and were tested for linear and quadratic effects of fish oil concentration (Steel et al., 1997) and gene expression results were log-transformed prior to analysis. Data were analysed with the following model:

Yij=μ+τi+aj(i)+eij,

in which μ is the mean value, τi. is the treatment effect (fixed), aj(i) is the effect of animal nested within each treatment, and eij is the error term. If quadratic effect was significant, the optimal concentration for lamb performance variables were estimated using the derived quadratic equation (-b1/2 b11) from the equation Y = bo + b1X + b11x2 (Draper and Smith, 1998), in which Y is the response variable and X is the fish oil concentration. The response variables were also tested for simple correlations. Data were analysed with the JMP7 software (Sall et al., 2012).

In each experimental treatment, costs per kg of live weight and the partial net income were estimated per lamb, considering incomes (sales value) and expenditures (value of direct costs such as cost of animal, feed, veterinary costs, etc.), as described by Mendoza et al. (2015).

Results

As expected, the variables related to growth and fattening showed a quadratic response that was used to estimate the highest final body weight (39.81 kg), which occurred with 11.6 g/kg fish oil, and the highest carcass weight (19.78 kg), which occurred with 10.3 g/kg fish oil. The maximum average daily gain (275 g/d) was estimated to occur with 11.2±0.21 g/kg fish oil and the best feed conversion ratio (4.10) with 12.8±4.67 g/kg (the best feed efficiency estimated with 13.1±0.15 g/kg fish oil). Final body weight was positively correlated with average dry matter intake (r = 0.74, P<0.0001), average daily gain (r = 0.84, P<0.0001), and feed efficiency (r = 0.66, P<0.0001). Although there were changes in back fat and gain-to-feed ratio, leptin gene expression was not affected by the treatments (Table 2) and leptin mRNA was not correlated with other variables.

Table 2 Effect of fish oil dietary concentration on performance of lambs fed a high-grain diet 

Item Fish oil concentration (g/kg)1 SEM2 P-value3 Contrast4
0 10 20 30 Linear Quadratic
Initial weight (kg) 23.88 24.31 24.33 23.80 0.79 0.94 0.94 0.54
Final weight (kg) 37.17 39.50 38.68 33.03 1.14 0.002 0.05 0.001
Dry matter intake (DMI) (g/d) 1122 1146 1080 898 35.45 0.0001 0.0001 0.008
Average daily gain (g) 237 271 256 165 16.28 0.0004 0.003 0.0006
G:F (kg of gain/kg of DMI) 0.176 0.201 0.194 0.156 0.006 0.07 0.21 0.005
Hot carcass weight (kg) 18.66 19.51 18.83 16.02 0.79 0.002 0.02 0.02
Hot carcass yield (%) 54.49 54.08 51.77 52.22 1.45 0.47 0.17 0.76
Back fat (mm) 1.87 2.50 2.87 2.00 0.18 0.002 0.37 0.0004
Leptin5 8.83 8.59 8.87 9.03 0.179 0.45 0.31 0.32

1Dry matter basis.

2Standard error of the mean; n = 8.

3P-value for the F-Test of the mean for the dietary treatment.

4P-value for linear and quadratic functions in response to increasing fish oil.

5Log. No. copies of leptin mRNA expressed.

The molar proportions of acetate and butyrate decreased linearly as fish oil concentration increased, whereas propionate increased. The total volatile fatty acid concentrations also tended to decrease in a linear manner (Table 3). There were no differences (P>0.10) in the ammonia N concentration among the treatments (Table 3).

Table 3 Effect of fish oil dietary concentration on ruminal fermentation pattern and ammonia N 

Item Fish oil concentration (g/kg)1 SEM2 P-value3 Contrast4
0 10 20 30 Linear Quadratic
Acetate (%) 66.75 64.01 61.72 59.39 1.22 0.001 0.0001 0.87
Propionate (%) 20.07 24.71 28.04 30.72 1.35 0.0001 0.0001 0.47
Butyrate (%) 13.16 11.26 10.23 9.88 0.76 0.02 0.003 0.31
Total volatile fatty acids (mMol/L) 48.09 49.85 39.68 33.45 6.32 0.24 0.06 0.53
N-NH3 (mg/dL) 13.91 12.00 12.55 12.98 1.04 0.62 0.63 0.27

1Dry matter basis.

2Standard error of the mean; n = 8.

3P-value for the F test of the mean for the dietary treatment.

4P-value for linear and quadratic functions in response to increasing fish oil.

Economic evaluation showed that inclusions up to 20 g/kg of fish oil concentration were profitable, but higher amounts caused economic losses (Table 4).

Table 4 Economic analysis of the inclusion of fish oil concentration in diets of finishing lambs 

Item Fish oil concentration (g/kg)1
0 10 20 30
Duration of fattening days 56 56 56 56
Total weight gain (kg) 13.27 15.17 14.33 9.24
Cost per kg feed (US$) 0.50 0.513 0.514 0.524
Total feed intake (as feed) (kg) 73.92 75.60 70.00 59.36
Feed costs (US$) 36.96 38.80 35.99 31.11
Weight sold (depleted) (kg) 36.42 38.71 37.26 32.40
Initial cost of animal (US$) 63.68 64.82 64.93 61.78
Other costs per animal (US$) 3.00 3.00 3.00 3.00
Selling price (US$/kg) 2.91 2.91 2.91 2.91
Total sales revenues (US$) 106.24 112.90 108.70 94.52
Partial net income per animal (US$) +2.34 +6.02 +4.50 -1.60

1Dry matter basis.

Discussion

Consistent with the results of Ferreira et al. (2014), this experiment demonstrated a positive response in average daily gain with the lowest concentration of fish oil in finishing lamb rations. Overall, in studies in which fish oil concentrations were approximately 10 g/kg, final weight, average daily gain, and feed efficiency were unaffected (Toral et al., 2009; Annett et al., 2011; Ferreira et al., 2014), but when the fish oil concentrations were above 30 g/kg, the intake and average daily gain were reduced (Kitessa et al., 2001; Wachira et al., 2002; Marinova et al., 2007). Annett et al. (2011) observed that with 35 g/kg fish oil, the subcutaneous fat depth over the leg area in lambs increased slightly and Marinova et al. (2007) reported that a diet with 10 g/kg fish oil mixed with 20 g/kg sunflower oil reduced the subcutaneous fat in the loin, but intramuscular fat was higher in the shoulder.

Results from other experiments have indicated that changes in the ruminal fermentation pattern are related to the amount of fish oil; reductions in acetate and increases in propionate were reported at concentration of 40 g/kg fish oil (Wachira et al., 2002; Fievez et al., 2003); and acetate was only reduced at concentrations between 2.5 and 10 g/kg (Toral et al., 2009; Ferreira et al., 2014). However, the forage proportion can modify the response. Chikunya et al. (2004) used 50 g/kg fish oil in a forage-based diet and did not detect changes in molar proportions of volatile fatty acids. Results of the response of butyrate to fish oil have been inconsistent and the only change was observed in an experiment with 10 g/kg fish oil (Toral et al., 2009). Marinova et al. (2007) suggested that changes in propionate and acetate are related to the depression of acetate-producing bacteria, which are inhibited by polyunsaturated fatty acids. However, in high-grain diets, these bacteria do not grow (Russell et al., 2009); therefore, the changes in propionate and acetate could be related to effects on the rumen protozoa, because polyunsaturated fatty acids are also toxic to rumen protozoa (Oldick and Firkins, 2000). The microbial defaunation by high-grain diets have similar effects on the fermentation pattern (Mendoza et al., 1993). The total concentration of volatile fatty acids must be carefully evaluated, because the process of absorption is a function of the pH and the concentration gradient. Fievez et al. (2003) reported no changes in total volatile fatty acid concentrations, but Toral et al. (2009) observed a reduction in the volatile fatty acid concentration. The ruminal ammonia N concentrations were not affected by the concentrations of fish oil used in this experiment, which is in contrast with other studies that reported increases in this metabolite in sheep (Toral et al., 2009) and cattle with 50 g/kg fish oil in high-grain diets (Kook et al., 2002).

Leptin mRNA has been positively correlated with the adipocyte volume in steers (Yang et al., 2003) and blood leptin concentrations have shown positive relationships with body fat content in sheep across a broad range of ages and body weights (Altmann et al., 2005). Chilliard et al. (2001) found that leptin plasma concentrations were lower in a group fed a diet with a moderate energy content compared with a group fed a diet with high-energy content. However, in this study, the differences in energy intake did not change the expression of the leptin gene.

Decreases in feed intake in finishing ruminants have been associated with an increase in leptin, which is involved in the homeostatic regulation of body energy by regulating appetite (Ban-Tokuda et al., 2008). Higher concentrations of fish oil reduced intake and tended to show the highest leptin gene expression; although gene expression was not significantly affected, the logarithmic scale should be taken into consideration. Puglisi et al (2011) concluded that the n-3 fatty acids present in fish oil could increase the expression of leptin in the adipocytes via PPAR gamma. The PPAR isotypes in ruminants are activated by long- chain fatty acids (Bionaz et al., 2013).

Although fish oil is an expensive ingredient, its inclusion reduces the amount of grain and improves the efficiency of feed utilization, which results in increased partial net income per animal. The results were similar to those reported in Mexico for lamb feedlot rations with exogenous enzymes (Mendoza et al., 2105). Inclusion levels will depend on the cost, since future demand for fishmeal will be higher by sectors such as aquaculture, livestock feed, pharmaceutical production, and cosmetic production (FAO, 2012).

Conclusions

Lamb performance can be improved in finishing diets with the inclusion of 12.0 g/kg fish oil dry matter. However, care must be taken when feeding fish oil to finishing lambs at higher concentrations because of the observed impairment of all performance variables. The concentrations of fish oil evaluated do not affect the expression of the leptin gene in the perirenal adipose tissue.

Acknowledgments

This project was supported by the annual internal funding from the Universidad Autónoma del Estado de México, Universidad Autónoma de Chapingo, and Universidad Autónoma Metropolitana.

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Received: October 31, 2016; Accepted: November 18, 2016

*Corresponding author:gmendoza@correo.xoc.uam.mx

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