Twenty castrated male Santa Ines lambs were used. Initially, the animals were individually identified, treated for ecto- and endo-parasites, and immunized for clostridiosis. The sheep were housed in metabolic cages (1.10 × 1.10 m), which had individual feeders, waterers, and collectors of feces and urine.
The animals were divided into four groups using a randomized block design to evaluate the effects of different MC levels in the diet (0, 10, 20, and 30% of DM). The blocks were defined according to the initial body weight: the mean live weights of the first fifth blocks were 52.17 ± 4.8 kg, 48.17 ± 1.25 kg, 45.62 ± 2.1 kg, 37.65 ± 6.1 kg, and 32.75 ± 6.3 kg, respectively.
The diets were prepared according to the recommendations of the (NRC,2007) for metabolizable energy requirements, and consumption was regulated to maintain 10% of leftovers (Table 1). The diet was provided twice a day at 07:00 and 15:00. For each block, the experimental period consisted of 15 d of adaptation and 5 d of sample collection. The experimental collection period included the measurements of the total amount of leftovers and daily production of feces per animal. Representative samples of the leftovers, feces and urine were collected daily. To avoid the loss of nitrogenous compounds by volatilization, 100 mL of 10% sulfuric acid (H2SO4) was added to the urine collectors. The samples were frozen at -20 ℃ for subsequent laboratory analyses.
Table 1
Ingredients and chemical composition (g/kg DM) of experimental diets
| Macauba cake inclusion (%) |
| 0 | 10 | 20 | 30 |
Ingredients (g/kg DM) |
Sorghum Silage | 500.0 | 500.0 | 500.0 | 500.0 |
Soybean meal | 54.9 | 64.2 | 73.5 | 82.9 |
Ground corn | 377.4 | 268.8 | 160.2 | 51.6 |
Cotton cake | 5.00 | 5.00 | 5.00 | 5.00 |
Macauba cake | 0 | 100.00 | 200.00 | 300.00 |
Mineral mixture(1) | 6.5 | 5.4 | 4.3 | 3.2 |
Salt | 5.0 | 5.0 | 5.0 | 5.0 |
Bicalcium phosphate | 6.2 | 6.5 | 6.9 | 7.3 |
Chemical composition (g/kg DM) |
Dry Matter (g/kg as fed) | 604.8 | 609.6 | 614.4 | 619.4 |
Ash | 78.1 | 48.2 | 51.5 | 54.8 |
Crude protein | 123.0 | 122.9 | 122.9 | 123.0 |
Neutral detergent fiber | 429.1 | 468.7 | 508.2 | 547.8 |
Acid detergent fiber | 213.4 | 249.6 | 285.8 | 322.0 |
Ether extract | 49.5 | 59.0 | 68.6 | 78.2 |
Non fibrous carbohydrate | 320.3 | 301.2 | 248.8 | 196.2 |
Neutral detergent insoluble nitrogen | 12.0 | 12.6 | 12.9 | 11.9 |
Acid detergent insoluble nitrogen | 1.6 | 1.7 | 1.6 | 1.8 |
(1)Guaranted level: 130–150 g calcium, 65 g phosphorus, 130 g sodium, 12 g sulfur,10 g magnesium, 1000 mg iron, 3000mgmanganese, 80mg cobalt, 5000mg zinc, 60 mg iodine, 10 mg selenium, Vitamina A 50000 U. I., Vitamina E 312 U. I. |
Ground samples of the diets, leftovers, and feces were analyzed according to the Association of Official Analytical Chemists (AOAC,1998), for DM (method 934.01), ash (method 942.05), crude protein (CP, method 954.01), and ether extract (EE, method 920.39). Neutral detergent fiber (NDF), (Van Soest et al. 1991) and acid detergent fiber (ADF) analyses (AOAC, 1998, method 973.18) were performed using an ANKOM200 Fiber Analyzer unit (ANKOM Technology Corporation, Fairport, New York, USA). Sodium sulfite and alpha amylase were used in the determination of NDF according to INCT-CA (Detmann et al. 2012). Non-fiber carbohydrates were calculated as: NFC = 100 - (% NDF + % EE + % CP + % Ash). The gross energy (GE) of the feed, feces, and urine was determined using an adiabatic calorimeter.
The DM, organic matter (OM), CP, EE, NDF, and ADF intakes were calculated by the difference in the daily weight offered and leftover by lambs. The in vivo digestibility of each chemical component (DM, OM, CP, EE, NDF, ADF) was calculated for each animal using the average individual nutrient intake and fecal output.
Four hours after the feed on the last day of the collection period, the rumen fluid was extracted from each animal using an esophageal probe coupled to a vacuum pump. A single sample per animal was taken, Rumen fluid samples were stored in a freezer at -20 ℃ for subsequent analysis.
Before DNA extraction, the sample was well homogenized with a vortex. DNA extraction was performed according to the method described by Makkar (2005) and was carried out in duplicate. The DNA concentration and purity of the sample (260 nm/280 nm) were determined using a Nanodrop 1000 spectrophotometer at absorbances of 260 and 280 nm. The extracted DNA was used as a template for the quantitative PCR assay using primer pairs for rumen bacteria, rumen fungi, Ruminococcus flavefaciens, Fibrobacter succinogenes, and rumen methanogens, as described by Denman and McSweeney (2006) and Denman et al. (2007). The DNA samples were diluted to a final concentration of 10 ng/µL. The primers were used at a concentration of 10 mM along with SYBR Green. The final volume of the reaction was 25 µL.
DNA amplification was performed on an Applied Biosystems 7500 thermal cycler using the following program: 1 cycle of 95 ℃ for 5 min; 40 cycles of 95 ℃ for 10 s and 60 ℃ for 30 s; and one cycle of 95 ℃ for 2 min, 60 ℃ for 15 s, and 95 ℃ for 15 s. The microbial population levels were expressed relative to the total bacterial population (ΔCt). These ΔCt values were calculated by the difference between the cycle threshold (Ct) values of the target and reference genes (16S rRNA of the bacteria). The ΔΔCts were determined by the difference between the ΔΔCts of the target groups in the experimental and control diets. The percentages of rumen fungi, Ruminococcus flavefaciens, Fibrobacter succinogenes, and rumen methanogens relative to the total bacterial population were calculated from the ΔCt values as 100 × (2∆Ct)-1 (Denman and McSweeney 2006) and the expression of the target groups relative to the control treatment as 2−Δ∆Ct.
The data concerning the nutrient intake and digestibility were analyzed using PROC REG, part of the statistical software Statistical Analysis System (SAS, 2004). For microorganisms, the variance analyses were performed using the AOV function and Duncan’s test in the ExpDes package. In the multivariate analysis, the original data were standardized, and the principal components were obtained using the princomp function of R software.