Skip to main content
Journal of Animal Science logoLink to Journal of Animal Science
. 2018 Apr 13;96(6):2453–2467. doi: 10.1093/jas/sky134

Dietary protein reduction on microbial protein, amino acids digestibility, and body retention in beef cattle. I. Digestibility sites and ruminal synthesis estimated by purine bases and 15N as markers1

Lays Débora Silva Mariz 1,, Paloma de Melo Amaral 1, Sebastião de Campos Valadares Filho 1, Stefanie Alvarenga Santos 2, Marcos Inácio Marcondes 1, Laura Franco Prados 1, Marcos Vinícius Carneiro Pacheco 1, Diego Zanetti 3, Gustavo Chamon de Castro Menezes 1, Antonio P Faciola 4
PMCID: PMC6095293  PMID: 29668924

Abstract

The objectives of this study were to evaluate the effect of reducing dietary CP contents on 1) total and partial nutrient digestion and nitrogen balance and 2) on microbial crude protein (MCP) synthesis and true MCP digestibility in the small intestine obtained with 15N and purine bases (PB) in beef cattle. Eight bulls (4 Nellore and 4 Crossbred Angus × Nellore) cannulated in the rumen and ileum were distributed in duplicated 4 × 4 Latin squares. The diets consisted of increasing CP contents: 100, 120, or 140 g CP/kg DM offered ad libitum, and restricted intake (RI) diet with 120 g CP/kg DM. The experiment lasted four 17-d periods, with 10 d for adaptation to diets and another 7 for data collection. Omasal digesta flow was obtained using Co-EDTA and indigestible NDF (iNDF) as markers, and to estimate ileal digesta flow only iNDF was used. From days 11 to 17 of each experimental period, ruminal infusions of Co-EDTA (5.0 g/d) and 15N (7.03 g of ammonium sulfate enriched with 10% of 15N atoms) were performed. There was no effect of CP contents (linear effect, P = 0.55 and quadratic effect, P = 0.11) on ruminal OM digestibility. Intake of CP linearly increased (P < 0.01) with greater dietary CP. The NH3-N (P < 0.01) and urinary N excretion (P < 0.01) increased in response to dietary CP, whereas retained N increased linearly (P = 0.03). Liquid-associated bacteria (LAB) in the omasum had greater N content (P < 0.05) in relation to the particle-associated bacteria (PAB). There was no difference between LAB and PAB (P = 0.12) for 15N:14N ratio. The 15N:14N ratio was greater (P < 0.01) in RI animals in relation to those fed at voluntary intake. Microbial CP had a quadratic tendency (P = 0.09) in response to CP increase. Microbial efficiency (expressed in relation to apparent ruminally degradable OM and true ruminally degradable OM) had a quadratic tendency (P = 0.07 and P = 0.08, respectively) to CP increasing and was numerically greatest at 120 g CP/kg DM. The adjusted equations for estimating true intestinal digestibility of MCP (Y1) and total CP (Y2) were, respectively, as follows: Y1 =−-16.724(SEM = 40.06) + 0.86X(SEM = 0.05) and Y2 = −43.81(SEM = 49.19) + 0.75X(SEM = 0.05). It was concluded that diets with 120 g/kg of CP optimize the microbial synthesis and efficiency and ruminal ash and protein NDF digestibility, resulting in a better use of N compounds in the rumen. The PB technique can be used as an alternative to the 15N to estimate microbial synthesis.

Keywords: ammonia, Co-EDTA, ileum, nitrogen efficiency, omasum, rumen

INTRODUCTION

The Brazilian system of nutritional requirements for cattle (BR-CORTE, Valadares Filho et al., 2016) assumes an 80% intestinal digestibility (ID) of microbial crude protein (MCP), as previously recommended by the NRC (1985). However, there are inconsistent values among different studies, e.g., Bird (1972), using 35S as microbial marker, obtained the value of 74%, whereas Salter and Smith (1977) obtained 85% for MCP ID in sheep cannulated in duodenum and ileum. These last authors, when 15N was used as a microbial marker, obtained 79% MCP ID (Salter and Smith, 1977). Therefore, more studies with ileum cannulated animals are required to accurately estimate MCP ID.

Purine bases (PB) and 15N have been widely used as markers to access MCP synthesis (Broderick et al., 2010, Rotta et al., 2014a) The MCP measurements from PB or 15N are usually similar (Broderick and Merchen et al., 1992; Rotta et al., 2014a). Even though some authors have found differences between N flow estimated by PB and 15N (Reynal et al., 2005; Ipharraguerre et al., 2007), Carro and Miller (2002) reported that PB as a microbial marker can be performed by simpler colorimetric or chromatographic techniques, whereas the continuous intraruminal infusion of 15N ammonium salts may be more laborious and expensive under certain conditions.

The MCP synthesis is an important component to calculate MP and to assess protein requirements. According to Menezes et al. (2016), increasing dietary CP levels from 100 to 140 g/kg did not improve retention and performance, but increased N excretion in beef cattle.

Thus, we hypothesized that reducing CP content in beef cattle diets could improve N use efficiency, and that the PB marker would be satisfactory as well as 15N to estimate microbial synthesis and digestibility. Therefore, the objectives were to evaluate the effects of reducing dietary CP contents on 1) total tract, ruminal, small and large intestinal nutrient digestion and N balance, and 2) on MCP synthesis and true MCP digestibility obtained with 15N and PB in beef cattle small intestine.

MATERIALS AND METHODS

Animals, Experimental Design, and Diets

This study was approved by the Institutional Animal Care and Use Committee at the Federal University of Viçosa (CEUAP/UFV), protocol number 06/2013. The surgery for ileum fistulation used in this study was described by Leão and Coelho da Silva (1980), in which a T-shaped latex cannula was inserted approximately 10 cm from the ileocecal junction. The trial was carried out at the Experimental Feedlot and in the Ruminant Nutrition Laboratory of the Animal Science Department at the Federal University of Viçosa, Brazil.

Eight steers, 4 Nellore (BW 241.3 ± 43 kg and 13 mo old), and 4 crossbred Angus × Nellore (initial BW 263.4 ± 47 kg and 13 mo old), with rumen and ileum cannulas were allocated in duplicated 4 × 4 Latin squares, simultaneously. The different genetic groups were justified by the limited number of ileum-cannulated cattle because only these 8 animals were available for this trial. Then, the genetic group was not a study object, though it was included in the statistical model.

The experiment lasted four 17-d periods. Each period consisted of 10 d for adaptation of the animals to the experimental diets and 7 d for data collection (Koenig et al., 2013a; Rotta et al., 2014a). The animals were housed in individual stalls (8 m2) with feeding troughs and free access to water throughout the experiment.

The 4 experimental diets consisted of increasing CP contents: 100, 120, or 140 g of CP/kg of DM offered ad libitum, and a diet containing 120 g/kg CP offered at restricted intake (RI) of 12 g DM/kg BW. The treatment RI allowed us to understand how the intake at maintenance level affects N dynamics. The RI was also used to quantify the true intestinal digestibility of the amino acids in a complementary study.

The diets consisted of 50% corn silage (CS) and 50% concentrate on DM basis. The total CS amount was supplied at 0700 h for all animals. Animals fed ad libitum received half of the daily amount of the concentrate at 0700 h, and the other half at 1500 h (Pazdiora et al., 2014). Intake was adjusted to maintain the orts near to 5% of the offered amount. The animals at RI were fed once a day, at 0700 h.

The diets were formulated based on the nutritional requirement system for pure and crossbred Zebu cattle (BR CORTE 2.0) described by Valadares Filho et al. (2010) to allow 1 kg ADG (Table 1).

Table 1.

Chemical composition of the diets and ingredients proportion

Dietary CP (g/kg DM)
Item 100 120 140
Ingredient, g/kg DM
Corn silage 500 500 500
Corn grain 397 396 396
Wheat meal 60 30 0
Soybean meal / U+AS1 22 53 83
Sodium chloride 5 5 5
Mineral mixture2 5 5 5
Sodium bicarbonate 8 8 8
Magnesium oxide 3 3 3
Chemical composition, g/kg DM
OM 954 949 944
CP 99 121 142
Ether extract 40 40 40
apNDF3 314 307 299
NFC4 507 494 482
RDP, g/kg CP5 668 696 716

1U + AS = Urea + ammonia sulfate; 83.3% of soybean meal e 16.7% of urea + ammonia sulfate.

2Mineral mixture = 223 g/kg calcium; 174 g/kg phosphorus; 24 g/kg sulfur; 100 mg/kg cobalt; 1,250.0 mg/kg copper; 1,795.0 mg/kg iron; 90 mg/kg iodine; 2,000.0 mg/kg manganese; 15.00 mg/kg selenium; 5,270.00 mg/kg zinc and 1,740.00 mg/kg fluor.

3apNDF = NDF corrected for ash and protein.

4NFC = nonfibrous carbohydrates.

5RDP = Calculated by the Brazilian Feed Composition Tables for Ruminants (Valadares et al., 2017), considering kp = 0.05.

Nitrogen Balance and Total Digestibility

The CS and leftovers were sampled during the collection period and partially dried in a forced air ventilation oven (55 °C) for 72 h. After drying, the samples were ground in a Wiley mill (TE-648, TECNAL, Piracicaba, Brazil) with 2 mm (for using in indigestible NDF [iNDF] analyses) and subsequently with 1-mm mesh. The samples were composed proportionally to dry weight, per animal for each period. The concentrate ingredients were sampled directly from the grain storage at the feed mill in the days when they were mixed. These samples were stored at −20 °C for later chemical analyses. After these procedures and thawing, these samples were ground similarly as described above for CS and leftovers.

To estimate the nutrient digestibility, total feces collection was done from the 11th to 13th d of each experimental period. Feces were collected directly from the concrete floor that was washed immediately after defecation to prevent sample contamination. After completed 24 hours of collection, the feces were weighed, homogenized and a daily sample was partially dried and ground in a Wiley mill (TE-648, TECNAL, Piracicaba, Brazil) with 2 (for and 1-mm mesh, respectively. Feces samples were composed for each animal per period, proportional to the dry weight of each collection day.

To assess the nitrogen compound balance, a total collection of urine from each animal was made in each experimental period, during the same 72 h as the total feces collection. Collector funnels were used coupled to hoses, which conducted the urine to plastic containers with 200-mL H2SO4 at 20%, to conserve the nitrogenous compounds. At the end of each collection day (24 h), the daily urine volume was quantified and a sample was stored proportional to the daily volume excreted by each animal. Urine samples were composed per period for each animal, proportional to the total daily volume. The composite samples were stored at −20 °C for total N analysis.

Markers Infusion and Digesta Sampling

The double marker system was used (France and Siddons, 1986) to estimate the digesta flow, using the Co-EDTA, to label the liquid and small particles phases, and iNDF to label the large particles phase (Mariz et al., 2013; Rotta et al., 2014b).

Continuous Co-EDTA infusions were made with 5.0-g/d Co-EDTA (0.7-g Co, diluted in 2.7 liter of water) via ruminal cannula using peristaltic pumps (BP-600.4; Milan Scientific Equipment, Inc., Colombo, Paraná, Brazil), from 11th to 16th d of each experimental period. Also, a total of 7.03 g of ammonium sulfate enriched with 10% of 15N atoms [ammonium sulfate (15NH4)2SO4] [Sigma Aldrich (Isotec), Miamisburg, OH] was added to the previously described Co-EDTA solution, providing a daily supply of 150 mg of 15N to each animal. In all periods, the 15N ammonium sulfate infusion began 60 h prior to the first digesta sampling to allow uniform distribution of 15N into the 15NH3 in the ruminal microbial pool (Broderick and Merchen, 1992). Infusions were performed until the last day (16th) of digesta sampling.

Before starting the 15N infusion, a sample of the ruminal content was collected from each animal and stored at −20 °C for 15N background determination in the ruminal digesta. The iNDF was used as a single marker to estimate the ileal DM flow.

A total of 8 samples of omasal (Huhtanen et al., 1997; Leão, 2002) and ileal digesta were obtained per animal from the 14th to 16th d of each period, with 9-h intervals between them, as follows: on 14th d these samplings were made at 0600 and 1500 h; on the 15th d, 0000, 0900, and 1800 h; and on the 16th d at 0300, 1200, and 2100 h, totaling 8 samples of each digesta (omasal or ileal), which were used to make a composite sample per animal. The ileum digesta was sampled into plastic bags placed at the orifice of ileum fistula, allowing the normal digesta flow, totaling 200 mL of digesta per sampling time.

The individual samples of omasal and ileal digesta were immediately frozen (−20 °C) for later processing. At the end of each experimental period, samples were thawed at room temperature and composed per animal, resulting in a composite sample with approximately 5.6 liter of omasal digesta and another with approximately 1.6 liter of ileal digesta. The composite omasal digesta sample was filtered using a 100-µm nylon filter with an area of pores on 44% of the surface (Sefar Nitex 100/44, Sefar, Thal, Switzerland) so that 2 phases were obtained: liquid and small particles phase and large particles phase.

After these procedures, the composite samples of omasal and ileal digesta were immediately frozen at −80 °C. Then, these samples were lyophilized, grounded in a Wiley mill at 2 and 1 mm, and stored for later analysis.

From the 14th to 16th d of each experimental period, at the same time as the omasal and ileal digesta, the ruminal fluid was sampled manually to quantify ruminal ammonia nitrogen (NH3-N) concentration. The ruminal fluid was obtained at different points of the liquid-solid interface and later filtered through 3 layers of cheesecloth. An aliquot of 40-mL ruminal fluid was mixed with 1-mL H2SO4 (50% v/v) and frozen at −20 °C for later analysis.

The procedure for bacterial isolation described by Reynal et al. (2005) with modifications suggested by Krizsan et al. (2010) was used. After every 4 samplings taken at 0600, 1500, 0000, 0900 h, and at 1800, 1500, 1200, and 2100 h, a composite sample was pooled, resulting in 1.2 liter of omasal composite sample and 800 mL of ileal composite sample.

The composite samples (omasal and ileum) were filtered through a 100-μm nylon mesh filter with 44% of pore surface area (Sefar Nitex 100/44, Sefar, Thal, Switzerland) and the material that remained on the filter was washed with 800 mL of 0.90% (wt/vol) saline solution (NaCl). The phase remaining on the filter was saved for isolation of particle-associated bacteria (PAB). The filtrate material was centrifuged at 1,000 × g for 10 min at 5 °C for isolation of liquid-associated bacteria (LAB). More details about bacterial isolation are described in Rotta et al. (2014a). Pellets resulting from LAB and PAB isolation were stored at −80 °C, freeze dried (Freezemobile 24, Virtis, Gardiner, NY), and then macerated with a plastic pestle and mortar and stored at −20 °C in plastic containers with a lid for further chemical DM, OM, CP, PB, and 15N analysis.

Blood was collected on the 17th d of the experimental period by puncturing the jugular vein, using tubes with separator gel. These samples were immediately centrifuged at 3000 × g for 15 min and serum was added to a labeled plastic centrifuge tube and stored at −20 °C for later urea analysis.

Chemical Analyses

Samples of feeds, orts, feces, omasal, and ileal digesta were analyzed for DM, ash, and N according to the official methods 934.01, 942.05, and 968.06, respectively (AOAC, 2006). The EE content was analyzed according to method 920.39 (AOAC, 2005).

To analyze the NDF corrected for ash and protein (apNDF) concentration, samples were treated with heat stable α-amylase, without adding sodium sulfite, corrected for ash residue (Mertens, 2002) and N-residual compounds (Licitra et al., 1996).

The iNDF was evaluated with 2-mm samples, ruminally incubated along 288 h (Valente et al., 2015). Cobalt concentration was determined using an atomic absorption spectrophotometer (Spctr AA-800; Varian spectrometer, Harbor City, CA).

Nonfibrous carbohydrates (NFC) were quantified according to Detmann and Valadares Filho (2010): NFC = 100 − [(%CP − %CP of urea + % urea) + % apNDF + %EE + %ash].

The NH3-N concentration in ruminal fluid was quantified using the colorimetric technique described by Chaney and Marbach (1962). Serum urea-N (SUN) was quantified by the fixed time kinetic method, using an automatic biochemistry analyzer (Mindray brand, model: BS200E).

The composite samples of omasum and ileal digesta, BAL and BAP isolated by omasum and ileum, were analyzed for PB and 15N. The PB analyses were performed according to Zinn and Owens (1980) as modified by Ushida et al. (1985).

The 15N analyses were performed according to Machado et al. (2013). The 15N excess atoms were measured using an isotope ratio mass spectrometer (Delta S; Finnigan MAT, Bremen, Germany). Samples containing approximately 100 μg of N were weighed and placed in 5- to 8-mm capsules for future readings. The stable isotopes’ rate of the same chemical element (15N:14N) was evaluated in terms of Δ per thousand, according to specific international standard.

CALCULATIONS

Assuming that digesta samples reaching the omasum are unrepresentative, the marker concentrations at the different phases of the omasal digesta were used to calculate the reconstitution factor (France and Siddons, 1986). The ileal digesta flow (g/d) was obtained by dividing the iNDF intake by its concentration in the ileal digesta sample. The nutrient flow (g/d) was obtained by multiplying its concentration in the digesta (g/kg DM) by the DM flow. The apparent ruminal and intestinal nutrient digestibilities were calculated in relation to the total ingested. The amount of absorbed N was obtained by the difference between N-intake and N-fecal, whereas the N-retained was obtained by subtracting the N-urinary and N-fecal from the N-intake.

Statistical Analyses

The variables regarding intake and apparent digestibility in different sampling sites of the gastrointestinal tract were analyzed by the PROC MIXED of SAS software (version 9.1), using the following statistical model:

Yijkl=μ+qi+Nj+qNij+ak+Pl+ εijkl

where Yijkl is the dependent variable, µ is the general mean, qi is the random effect of the Latin square/genetic group i, Nj is the fixed effect of the dietary CP treatment (j = 1 to 4), qNij is the random effect of the interaction between Latin square i and the dietary CP content j, a(k) is the random effect of animal k, Pl is the random effect of period 1, and εijkl is the random error taken as normal and independently distributed (NID) (0; σ2ε).

The degrees of freedom were estimated by the Kenward–Roger method. In the case of significant effects for CP content, the following orthogonal contrasts were studied: C1: RI vs. voluntary intake of the 120 g of CP/kg of DM; C2: linear effect of CP dietary contents 100, 120, and 140 g/kg; and C3: quadratic effect for the same increasing contents. All the statistical procedures were carried out using 0.05 as a critical level of probability for type 1 error, and P-values between 0.05 and 0.10 were considered as a trend. The data for NH3-N concentration were analyzed as repeated measures. The model tested was similar to that described above, including time as a fixed effect and all its interactions.

The Bacterial chemical composition was compared in a split plot scheme, considering the type of bacterial isolation (LAB or PAB), using the mixed procedure of SAS software (version 9.1), by the following model:

Yijklm=μ+qi+Nj+Bk+BNjk+al+pm+Eijklm+ εijlm

where Yijklm is the dependent variable, µ is the general mean, qi is the random effect of the Latin square/genetic group, Nj is the fixed effect of the dietary CP content j, Bk is the fixed effect of the type of bacterial isolation k, BNjk is the fixed effect of the interaction between dietary CP content j and the type of bacterial isolation k, al is the random effect of animal l, pm is the random effect of period m, Eijklm is the random residual error between the types of bacterial isolation within the experimental units, and εijklm is the unobservable random error, assuming a normal distribution (NID) (0; σ2ε).

The variables MCP synthesis, MCP/apparent ruminally degradable OM (MCP/aRDOM), and MCP/true ruminally degradable OM (MCP/tRDOM) were also compared with split plot scheme, considering the microbial markers (15N or PB), using the mixed procedure of SAS software (version 9.1) by the following model:

Yijklm=μ+qi+Nj+Mk+NMjk+al+pm+ Eijkl+ εijlm

where Yijklm is the dependent variable, µ is the general mean, qi is the random effect of the Latin square/genetic group, Nj is the fixed effect of the dietary CP content j, Mk is the fixed effect of the microbial marker (15N or PB) k, NMjk is the fixed effect of the interaction between dietary CP content j and the microbial marker k, al is the random effect of animal l, pm is the random effect of period m, Eijklm is the random residual error between the microbial markers within the experimental units, and εijklm is the unobservable random error, assuming a normal distribution (NID) (0; σ2ε).

In the case of significant effects for CP content in both analyses, the following orthogonal contrasts were studied: C1: RI vs. voluntary intake of the 120 g of CP/kg of DM; C2: linear effect of CP dietary contents 100, 120, and 140 g/kg; and C3: quadratic effect for the same increasing contents. All the statistical procedures were carried out using 0.05 as critical level for probability of the type 1 error.

True intestinal digestibility of the total CP and microbial CP was estimated by linear regression model fitted between the total CP or microbial CP absorbed in small intestine (Ŷ; g/d) and their respective omasal flow (X; g/d). The intercept of the equation represented the endogenous losses, and the slope represented the true digestibility of the total CP or microbial CP. The adjusted model for the true digestibility of the microbial CP took into consideration the effect of the microbial markers on the obtained estimates, using this factor as a Dummy variable. In case of similarity between the estimates, a single regression equation was adjusted for the data described above. The data were analyzed using the PROC MIXED of SAS (version 9.2) and 0.05 as a critical level for the probability of type 1 error. Animal and period were considered random variables similarly to the previous statistical models.

RESULTS

Total and Partial Nutrient Digestibility and Balance of Nitrogen

Intake of OM tended to increase linearly (P = 0.07) in response to CP content (Table 2). Apparent ruminal digestibility (linear effect, P = 0.55 and quadratic effect, P = 0.11) and total OM digestibility (linear effect, P = 0.58 and quadratic effect, P = 0.98), both expressed in percentage, were not affected by CP content, but animals in the RI treatment had greater (P = 0.01) ruminal apparent digestibility in relation to voluntary intake. Intake of CP (P < 0.01) (kg/d) increased linearly in response to CP content. The CP intake was lower (P < 0.01) for animals in RI compared with voluntary intake.

Table 2.

Effects of dietary CP on intake and apparent digestibility of OM and CP on the intake and TDN quantity

Item4 CP content (g/kg of DM)1 SEM Contrast2 Level effect3
RI 100 120 140 RI vs. VI Linear Quadratic
OM intake
kg/day 2.83 4.89 4.89 5.35 0.34 < 0.01 0.07 0.28
Ruminal digestibility
kg/day 1.35 2.25 2.03 2.43 0.25 < 0.01 0.34 0.07
% 47.7 45.1 40.8 43.6 3.14 0.01 0.55 0.11
Digestibility in the small intestine
kg/day 0.55 0.76 1.07 1.01 0.10 < 0.01 0.02 0.04
% 19.3 15.5 22.7 19.3 2.43 0.09 0.06 < 0.01
Digestibility in the large intestine
kg/day 0.33 0.63 0.48 0.62 0.13 < 0.01 0.93 0.06
% 11.6 12.7 10.4 11.5 2.83 0.94 0.55 0.32
Total digestibility
kg/day 2.25 3.65 3.6 4.07 0.31 < 0.01 0.08 0.21
% 78.7 73.7 73.9 74.4 1.95 0.02 0.58 0.98
CP intake
g/day 361 533 641 823 50 < 0.01 < 0.01 0.20
Ruminal digestibility
g/day −79.8 −82.8 −103 48 0.04 0.56 < 0.01 0.02
% −23.1 −16.3 −18.2 3 6.56 0.40 < 0.01 0.03
Digestibility in the small intestine
g/day 305 402 527 541 0.03 < 0.01 < 0.01 0.06
% 86.4 75.5 84.0 66.4 5.96 0.64 0.09 < 0.01
Digestibility in the large intestine
g/day 38.0 44.3 41.7 54.8 0.02 0.80 0.47 0.53
% 10.5 8.2 7.7 7.1 3.11 0.27 0.67 0.98
Total digestibility
g/day 263 364 466 644 0.04 < 0.01 < 0.01 0.16
% 73.4 68.8 73.5 77 1.63 0.97 <0.01 0.68
TDN intake
kg/day 2.25 3.66 3.61 4.09 0.3 < 0.01 0.07 0.20
Contents; % 73.5 68.9 69.2 69.9 1.89 0.03 0.60 0.93

1Treatments: RI = restricted intake to 1.2% BW containing 120 g CP/kg DM; 100, 120, and 140 = voluntary intake containing 100, 120, and 140 g CP/kg DM, respectively.

2 P-value associated with the contrast RI vs. VI = restricted intake vs. voluntary intake (120 g CP/kg DM).

3 P-value associated with CP content evaluation (voluntary intake of the diets containing 100, 120, and 140 g CP/kg DM.

4Units expressed in % of intake.

Ruminal apparent CP digestibility, in both units, responded quadratically (linear effect, P < 0.01 and quadratic effect, P = 0.02 expressed in g/day; linear effect, P < 0.01 and quadratic effect, P = 0.03 expressed in % of intake) to CP increase and were numerically greatest at 140 CP content. Ruminal CP digestibilities had negative values for RI, 100 and 120 CP treatments. The total apparent CP digestibility (g/d and % of intake) increased linearly (P < 0.01) according to CP content.

There was no effect (linear effect, P = 0.34 and quadratic effect, P = 0.48) of CP on apNDF intake (Table 3). The apNDF ruminal digestibility (%) responded quadratically (linear effect, P = 0.76 and quadratic effect, P < 0.01) to the CP increase and it was greatest at the 120 CP level. The apNDF apparent digestibility in small intestine (ID) had quadratic behavior (linear effect, P = 0.82 and quadratic effect, P < 0.01) in response to increasing CP content and it was numerically smaller at 120 CP treatment. The total apNDF digestibility was not affected (linear effect, P = 0.49 and quadratic effect, P = 0.64) by CP contents, but RI showed lower (P < 0.01) ruminal apparent digestibility (kg/d) in relation to voluntary intake at 120 g of CP/g of DM.

Table 3.

Effects of dietary CP on NDF corrected for ash and protein (apNDF) and nonfibrous carbohydrates (NFC) intakes and apparent digestibilities

Item4 CP content (g/kg of DM)1 SEM Contrast2 Level effect3
RI 10 12 14 RI vs VI Linear Quadratic
apNDF intake
kg/day 1 1.67 1.66 1.77 0.13 < 0.01 0.34 0.48
Ruminal digestibility
kg/day 0.59 0.67 0.83 0.74 0.08 < 0.01 0.33 0.06
% 58.8 40.8 50.5 41.8 4.01 0.02 0.76 < 0.01
Digestibility in the small intestine
kg/day 0.032 0.18 0.053 0.18 0.072 0.74 0.99 < 0.01
% 2.6 10.9 2.70 10.2 4.55 0.95 0.82 < 0.01
Digestibility in the large intestine
kg/day 0.081 0.11 0.13 0.15 0.071 0.36 0.51 0.97
% 7.7 6.1 7.7 8.6 4.83 0.99 0.47 0.91
Total digestibility
kg/day 0.69 0.96 1.00 1.07 0.10 < 0.01 0.19 0.90
% 69.10 58.30 60.90 60.70 3.46 0.02 0.49 0.64
NFC intake
kg/day 1.38 2.55 2.39 2.59 0.19 0.03 0.77 0.12
Ruminal digestibility
kg/day 0.86 1.70 1.38 1.69 0.17 <0.01 0.93 < 0.01
% 62.1 65.2 55.3 62.9 4.07 0.73 0.52 0.01
Digestibility in the small intestine
kg/day 0.11 −0.014 0.26 0.054 0.062 0.02 0.32 < 0.01
% 8.1 −0.301 12.2 2.90 3.69 0.16 0.47 0.02
Digestibility in the large intestine
kg/day 0.23 0.49 0.32 0.44 0.071 0.16 0.47 0.02
% 16.2 19 14.4 16.5 3.07 0.84 0.41 0.21
Total digestibility
kg/day 1.2 2.18 1.95 2.18 0.17 < 0.01 0.97 0.05
% 86.3 83.3 81.7 82.2 1.67 < 0.01 0.49 0.45

1Treatments: RI = restricted intake to 1.2% BW containing 120 g CP/kg DM; 100, 120, and 140 = voluntary intake containing 100, 120, and 140 g CP/kg DM, respectively.

2 P-value associated with the contrast RI vs. VI = restricted intake vs. voluntary intake (120 g CP /kg DM).

3 P-value associated with CP content evaluation (voluntary intake of the diets containing 100, 120 and 140 g CP/kg DM).

4Units expressed in % of intake.

The NFC intake was not affected by dietary CP (linear effect, P = 0.77 and quadratic effect, P = 0.12). Rumen digestibility of NFC (%) was quadratically (linear effect, P= 0.52 and quadratic effect, P = 0.01) affected by treatments, where 120 CP had numerically the lowest value. The same behavior was observed for digestibility in small intestine; however, the greatest value was observed for the 120 CP treatment. Total NFC digestibility (%) was not affected (linear effect, P = 0.49 and quadratic effect, P = 0.45) when CP content increased.

Increase in dietary CP resulted in a linear increase (P < 0.01) in urinary N excretion, and also in a trend to linear increase (P = 0.07) fecal N excretion (Table 4). The SUN concentration in animals fed the RI diet was similar (P = 0.13) compared with voluntary intake. Retained N (g/d) increased linearly (P = 0.03) in response to CP contents. Nitrogen retention (P < 0.01) was lower for animals in RI compared with the other fed ad libitum.

Table 4.

Effects of dietary CP on nitrogen balance and serum nitrogen urea

Item CP content (g/kg of DM)1 SEM Contrast2 Level effect3
RI 100 120 140 RI vs VI Linear Quadratic
Nitrogen intake, g/day 56.9 86.1 102 135 8.65 < 0.01 < 0.01 0.13
Nitrogen excretion, g/day
Nitrogen urinary 29.7 23.9 33.6 63.6 7.16 0.08 < 0.01 0.76
Nitrogen fecal 15.1 26.7 27.3 31.9 2.72 < 0.01 0.07 0.44
Retained nitrogen
g/day 12.1 35.4 40.9 44.5 5.26 < 0.01 0.03 0.97
% ingested 20.2 40.6 38.4 35.8 3.77 < 0.01 0.19 0.94
% absorbed 30.6 59.1 52.5 45.9 4.89 < 0.01 0.02 0.99
SUN4, mg/dL 13.7 9.38 11.4 13.1 1.87 0.13 0.04 0.42

1Treatments: RI = restricted intake to 1.2% BW containing 120 g CP/kg DM; 100, 120, and 140 = voluntary intake containing 100, 120, and 140 g CP/kg DM, respectively.

2 P-value associated with the contrast RI vs. VI = restricted intake vs. voluntary intake (120 g CP/kg DM).

3 P-value associated with CP content evaluation (voluntary intake of the diets containing 100, 120, and 140 g CP/kg DM).

4SUN = serum urea-N.

There was an interaction (P < 0.01) between CP contents and sampling time for ruminal NH3-N concentrations (Figure 1). The partitioning of the interaction demonstrated that, with an exception for Time 0, the 140 CP resulted in the greatest ruminal N-NH3 concentration for all the time points evaluated (Time 3: C2 P = 0.06 and over all time points P < 0.01).

Figure 1.

Figure 1.

Effect of dietary CP contents and feeding times on ruminal ammonia nitrogen concentrations. Additional slicing for contrast (C1: restricted intake vs. voluntary intake of the 120 g of CP/kg of DM; C2: linear effect of CP dietary contents 100, 120, and 140 g/kg; and C3: quadratic effect for the same increasing contents) effect in each time points: Time 0: C1 P = 0.25, C2 P = 0.85, C3 P = 0.23; Time 3: C1 P = 0.34, C2 P= 0.06, C3 P = 0.92; Time 6: C1 P = 0.47; C2 P < 0.01; C3 P = 0.99; Time 9: C1 P = 0.31, C2 P < 0.01, C3 P = 0.18; Time 12: C1 P = 0.66, C2 P < 0.01, C3 P = 0.23; Time 15: C1 P = 0.16, C2 P < 0.01, C3 P =0.93; Time 18: C1 P = 0.28, C2 P < 0.01, C3 P = 0.21; Time 21: C1 P = 0.54, C2 P < 0.01, C3 P = 0.51.

Chemical Composition of Bacteria and 15N:14N Ratio

There were no interactions (P > 0.10) among the types of isolated bacteria (LAB and PAB) and dietary CP levels on any of the evaluated variables in the bacterial chemical composition neither in omasum nor in ileum digesta (Table 5). The N content (in g/kg OM) was greater (P < 0.01) for LAB than for PAB in the omasal digesta. There was a positive linear effect (P < 0.01) on N content (g/kg OM) of the isolated bacteria in the omasal and ileal digesta in response to the increasing dietary CP content.

Table 5.

Effects of isolated bacteria and microbial markers on nitrogen and OM content, and 15N:14N ratio

Item Bacteria1 CP content (g/kg DM)2 SEM (P-value)
LAB PAB RI 100 120 140 Bacteria CPC3 B × CPC4
Omasum
Nitrogen, g/kg OM 83.2 79.3 82.6 77.9 81.7 83.1 1.002 < 0.01 < 0.01 0.09
OM, g/kg DM 845 824 831 835 838 833 0.05 < 0.01 0.66 0.71
15N:14N, Δ per thousand5 463 454 614 474 437 309 28.7 0.12 < 0.01 0.72
%N-RNA 0.90 0.73 0.76 0.69 0.82 0.99 0.13 0.20 0.45 0.35
N-RNA/N-bacteria 0.13 0.11 0.11 0.12 0.12 0.12 0.009 < 0.01 0.93 0.75
Ileum
Nitrogen, g/kg OM 72.7 71.6 69.7 69.4 72.8 76.7 1.31 0.30 < 0.01 0.98
OM, g/kg DM 793 747 770 775 762 765 0.10 < 0.01 0.59 0.48

1LAB = liquid-associated bacteria, PAB = solid-associated bacteria.

2Treatments: RI = restricted intake to 1.2% BW containing 120 g CP/kg DM; 100, 120, and 140 = voluntary intake containing 100, 120, and 140 g CP/kg DM, respectively.

3CPC = CP content (g CP/kg of DM).

4 P-value associated to the interaction B × CPC (bacteria and CP content).

5 Value obtained after subtracting 15N background value.

The 15N:14N ratio observed for LAB and PAB isolated in the omasal digesta was similar (P = 0.12). The 15N:14N ratio in the bacteria isolated in the omasal digesta was greater (P < 0.01) for RI animals compared with animals fed ad libitum. There was a negative linear effect (P < 0.01) of CP on 15N:14N ratio in bacteria isolated in the omasal digesta. There was also a negative linear effect (P < 0.01) on 15N:14N ratio in ileal digesta isolated bacteria, with values of 395.55, 349.88, 330.81, and 257.29 (Δ per thousand) for RI, 100, 120, and 140 g CP/kg DM, respectively.

Microbial Markers and Efficiency of Microbial CP Synthesis

There was no interaction (P > 0.10) between dietary CP contents and microbial markers for any of the evaluated variables (Table 6). Animals in RI showed lower (P < 0.01) MCP synthesis than others fed ad libitum. There was a linear increase in MCP synthesis (P < 0.01) according to dietary CP contents. There was a tendency to increase MCP synthesis using PB (P = 0.07) in comparison to 15N.

Table 6.

Effect of dietary CP contents and microbial markers on microbial CP (MCP) synthesis and its efficiency expressed as MCP/apparent ruminally degradable OM (MCP/aRDOM), MCP/true ruminally degradable OM (MCP/tRDOM)

Item CP content (g/kg of DM)1 SEM (P-value)
RI 100 120 140 CPC2 MM3 CPC × MM4
MCP synthesis5; g/day
Purine basis 352 509 671 671 24.8 < 0.01 0.07 0.57
15N 352 483 582 608
t-test8 0.98 0.56 0.35 0.31
MCP/aRDOM6, g/kg
Purine basis 260 237 319 304 24.3 < 0.01 0.12 0.63
15N 264 222 304 273
t-test8 0.83 0.46 0.34 0.23
MCP/tRDOM7, g/kg
Purine basis 172 156 194 186 9.71 < 0.01 0.14 0.69
15N 175 144 183 169
t-test8 0.84 0.41 0.47 0.24

1Treatments: RI = restricted intake to 1.2% BW containing 120 g CP/kg of DM; 100, 120, and 140 = voluntary intake containing 100, 120, and 140 g CP/kg DM, respectively.

2CPC = crude protein content (g CP/kg of DM).

3MM = microbial markers.

4 P-value associated with the interaction CPC × MM (CP content and microbial marker).

5MCP synthesis = microbial crude protein synthesis.

6MCP/aRDOM = microbial crude protein/apparent ruminally degradable organic matter.

7MCP/tRDOM = microbial crude protein/true ruminally degradable organic matter.

8 t-test = P-value from paired t-test.

The MCP efficiency expressed in relation to aRDOM (P = 0.12) and tRDOM (P = 0.43) was similar for RI in relation to ad libitum fed animals (Table 7). The microbial efficiency expressed in relation to the aRDOM and tRDOM had a tendency quadratic behavior (linear effect P = 0.07 and quadratic effect for aRDOM; linear effect P = 0.04 and quadratic effect P = 0.08 for tRDOM) to the dietary CP content, being numerically greater for animals receiving 120 g CP /kg DM in the diet (Table 6).

Table 7.

P-value of the evaluated contrasts for the dietary CP content effects on isolate bacteria, 15N:14N ratio, microbial synthesis, and efficiency

Item Contrast1 Level effect2
RI vs. VI Linear Quadratic
Omasum
Nitrogen, g/kg OM 0.13 < 0.01 0.97
15N:14N, Δ per thousand < 0.01 < 0.01 0.12
Ileum
Nitrogen, g/kg OM 0.81 0.09 0.52
MCP synthesis3; g/day < 0.01 < 0.01 0.45
MCP/aRDOM4, g/kg 0.12 0.07 0.07
MCP/tRDOM5, g/kg 0.43 0.04 0.08

1 P-value associated with the contrast RI vs. VI = restricted intake vs. voluntary intake (120 g CP/kg DM).

2 P-value associated with the tested regression level effects.

3MCP synthesis = microbial crude protein synthesis.

4MCP/aRDOM = microbial crude protein/apparent ruminally degradable organic matter.

5MCP/tRDOM = microbial crude protein/true ruminally degradable organic matter.

Estimates of True Intestinal Digestibility of Microbial Protein

After testing the Dummy variable referent to the effect of the different markers on the regression between the total CP or microbial CP absorbed in small intestine (Ŷ; g/d) and their respective omasal flow (X; g/d), it was observed similarly (P > 0.10) intercept and slope estimates between the markers. Then, a single equation was fitted to estimate MCP true intestinal digestibility in small intestine (MCPsi), since there was no significant effect (P > 0.10) of the microbial markers (PB and 15N) used to determine the microbial synthesis. After adjusting a single regression based on data of the 2 makers, the regression slope was significant (P < 0.01), thus generating the following regression equation (Figure 2):

Figure 2.

Figure 2.

Microbial CP true intestinal digestibility estimated by microbial markers (purine bases [PB] and 15N) in beef steers fed with increasing CP content in the diets. The regression was adjusted regardless of the markers since there was no significant difference (P > 0.10) between them.

MCPsi =  16.7(SEM=40.1)+0.86 × MCP omasal flow (SEM=0.05)

The same fitting was performed for total CP (TCPsi) true digestibility in small intestine. Regression slope was significant (P < 0.01), thus generating the following regression equation (Figure 3):

Figure 3.

Figure 3.

Total CP true intestinal digestibility in beef steers fed with increasing CP content in the diets.

TCPsi= 43.8(SEM=49.2)+0.75× TCP omasal flow(SEM=0.05)

DISCUSSION

In the present study, although a tendency to greater OM intake (OMI) for the 140 CP/kg DM, the diets with 100 and 120 CP/kg DM had similar OMI values. In other studies with beef cattle fed with 100 to 140 g CP/kg DM, no effect was observed of CP content on this variable (Koenig et al., 2013a; Menezes et al., 2016). However, there is no agreement in the literature about the effects of CP on OMI. Imaizumi et al. (2010) reported possible reductions in DM and OMI in diets with low CP concentrations that could be attributed to insufficient ruminal NH3-N available for ruminal fermentation and microbial synthesis. Similarity OMI results between 100 and 120 dietary CP may indicate that 100 g CP/kg DM is sufficient to meet the N requirements of the ruminal microorganisms without damaging OMI in beef cattle.

Decreasing dietary CP did not affect OM ruminal digestibility (%), demonstrating that 100 CP was sufficient to optimize OM ruminal digestion. These results are in agreement with those reported in other studies, which varied CP contents between 80 and 175 g/kg (Ipharraguerre et al., 2005; Yuangklang et al., 2010; Mutsvangwa et al., 2016) and demonstrated that decreasing dietary CP had no effect on ruminal OM digestibility. Contrary to these studies, increases in OM digestibilities were positively related to CP diet concentration (Allen, 2000; Archibeque et al., 2007). In spite of the low N supply in RI, this treatment promoted adequate levels of N for ruminal digestion, showing that a balance between N and energy is more important than the total daily N offered (g/d) (Broderick, 2003; Ipharraguerre et al., 2005).

The ruminal NH3-N concentration has effects on microbial growth and consequently on nutrient digestibility (Faverdin, 1999). In the present study, the means of the ruminal NH3-N concentrations obtained during the feeding cycle were 8.56, 5.45, 8.16, and 14.99 mg/dL for the RI diets, 100, 120, and 140 CP, respectively. Although an increase was observed in the ruminal NH3-N concentrations of approximately 175% and 84% with the 140 CP level compared with the 100 and 120 CP diets, there was no difference in the OM ruminal digestibility in response to increasing CP contents. These results indicated that 5.45-mg/dL ruminal NH3-N concentrations were not limited to microbial growth, and it was therefore possible to optimize OM digestion using 100 CP in the diets of beef cattle.

The large ruminal NH3-N losses resulting from great CP dietary concentrations have been indicated as one of the main factors responsible for the low efficiency of N use by ruminants (Tamminga, 1992). Increase in CP contents, in addition to providing a significant increase in ruminal NH3-N, resulted in important effects on N ruminal metabolism. Increases in N flow to the rumen associated with reductions in N intake were obtained in the RI treatments: 100 and 120 CP, which justifies the negative values for ruminal digestibility (RI = −23.1; 100 g of CP/kg DM = −16.3 and 120 g of CP/kg DM = −18.2) observed for CP in these treatments.

The improvements in the efficiency of N usage can also be attributed to the lower total N intakes associated with lower N urinary excretions. The N excretions obtained with 100 and 120 CP were reduced by 39.7 and 29.9 g/d in relation to 140 CP level, respectively, demonstrating that there are significant reductions in N excretions when dietary CP concentrations are reduced. However, it is important to note that some volatile N may have been lost during fecal drying; therefore, the absolute values for N retention reported herein are likely greater than expected; however, these means still represent treatment differences.

Animals in RI tended to present intermediate values of urinary N excretion when compared with animals fed with 120 g CP/kg DM. The N excretions obtained with RI can be attributed to a possible increase in protein catabolism when a basal condition is established. Considering that the blood pool of free amino acids can be used to synthesize urea (Waterlow, 2006), an increase in protein turnover represents an adjustment to maintain an optimal amount of circulating free amino acids.

Bacteria Chemical Composition and 15N:14N Ratio

The ruminal bacteria pool contributes to a significant amount of N and OM absorbed in the SI of ruminants (Clark et al., 1992). The present study shows that N content is greater in LAB compared with PAB, suggesting that there is a greater contribution of N originated from LAB to the SI, since similar amounts of LAB and PAB leave the rumen. The differences in bacteria composition are generally attributed to changes in growth rates among species, microenvironment conditions in the liquid and solid phases of the digesta, diversity of bacterial species, dietary factors, and a combination among them (Ipharraguerre et al., 2007). A lower growth rate of PAB compared with LAB was reported by Cecava et al. (1991). Supporting the results found in the present study, Yang et al. (2001) reported greater N values in LAB (9.35%) than in PAB (9.06%), based on a dilution effect on N content in response to the greater polysaccharide concentrations in PAB compared with LAB.

The similarity in the 15N:14N ratio obtained between the ruminal microbial pool in the different phases agrees with the results reported in other studies (Krizsan et al., 2010; Rotta et al., 2014a). In contrast, a greater 15N enrichment in PAB compared with LAB was reported (Ahvenjarvi et al., 2002; Reynal et al., 2005; Brito et al., 2006). This behavior was attributed to the greater use of ruminal NH3-N as N sources by LAB than by PAB (Ahvenjarvi et al., 2002; Carro and Miller 2002; Reynal et al., 2005). It has been postulated that PAB preferentially incorporates greater amounts of N derived from amino acids and peptides, resulting in higher 15N dilution (Brito et al., 2006). However, the contribution of different N sources to MCP synthesis is highly variable and depends on the availability of these sources in the ruminal environment (Wallace et al., 2001).

In the present study, the lack of differences in 15N:14N ratios obtained for LAB and PAB suggests no limitation on the availability of N sources used by ruminal bacteria. In addition, studies have shown increases in maintenance requirements of ruminal microorganisms in response to possible reductions in the digesta time retention in the rumen of animals receiving lower feed levels (Clark et al., 1992; Valadares Filho et al., 2010), justifying the greater NH3-N incorporation in the MCP of RI animals.

Microbial Markers and Microbial CP Synthesis Efficiency

The highest microbial efficiency obtained in animals fed with 120 g CP/kg DM can be attributed to the N compounds availability and the optimized fiber digestibility at this CP content. This allowed an adequate supply of degradable carbohydrates in the rumen for the microorganism’s growth. Animals in RI showed similarity in microbial efficiency compared with others in the voluntary intake. Despite the lower N supply in the ruminal environment, synchronization between energy and N represents an important factor influencing the usage efficiency of ruminal substrates (Broderick, 2003; Ipharraguerre et al., 2005). In addition, increases in the retention time of the digesta in the rumen, associated with the lower DMI of RI animals, probably result in an increase in the extension of ruminal fermentation (Scholljegerdes et al., 2004). These events allow the substrates availability synchronization in the rumen of the RI animals, leading to a similar microbial efficiency compared with animals fed ad libitum.

The use of 15N marker for the microbial synthesis quantification is a well-established and an accurate method (Broderick and Merchen, 1992; Carro and Miller 2002; Reynal et al., 2005). In the present study, microbial markers (15N and PB) represented similar estimates for microbial protein synthesis and efficiency, indicating that both techniques were adequate to estimate microbial synthesis. However, there was a statistical tendency to obtain a greater microbial protein estimate when using PB in contrast with 15N. These results suggest that novel studies comparing microbial markers need to be conducted to improve the accuracy of the estimates.

As PB is almost exclusively localized in the bacterial cytoplasm, the lysis process may result in a reduction of the N purine:N microbial ratio and, consequently, an overestimation of the microbial N flow (Carro and Miller, 2002). However, due to the uniform distribution of 15N in microbial cells, the enrichment of this microbial marker is not affected by the bacterial isolation (Carro and Miller, 2002; Valadares Filho et al., 2016), justifying the accurate results obtained in the literature.

Our results demonstrated that PB isolation procedure is similar to the standard 15N method to quantify the MCP, indicating that the methodology used in this study was efficient for PB recovery. According to Marshak and Vogel. (1951), the errors of extraction and fractionation of the nucleic acids can be avoided by direct hydrolysis of the sampled material with HClO4 and by using spectrophotometry method to determine PB. Thus, considering the similarity in results between 15N and PB, it can be recommended to use the method described by Zinn and Owens (1980) as modified by Ushida et al. (1985) to quantify the CP microbial synthesis.

Estimation of Intestinal True Digestibility of Microbial Protein

Rumen undegraded CP requirement for ruminants can be calculated by assuming 80% of intestinal digestibility according to NRC (2000); however, based on the constant 86% for true intestinal digestibility of MCP obtained in this study, we may infer that CP requirements for beef cattle are overestimated when using the American System (NRC, 2000). Data recently published under similar conditions reported that CP intake predicted by the Brazilian Tables of Nutrient Requirements of Zebu Beef Cattle—BR-CORTE (Valadares Filho et al., 2016) was, on average, 17% greater than the values observed (Amaral et al., 2014; Menezes et al., 2016), which confirms the excess of CP use in beef cattle diets. Considering the lack of studies reporting the true digestibility of MCP in beef cattle under tropical conditions and the current CP requirement based on data obtained in different climate conditions, we suggested the value of 86% for MCP digestibility. This will allow a reduction of the dietary CP levels in these animals.

CONCLUSIONS

The present study confirms that increasing CP contents in beef cattle diets result in increased ruminal NH3-N concentrations, but also confirms that dietary CP between 100 and 120 g/kg is enough to meet net nitrogen requirements of ruminal microorganisms and to optimize OM ruminal digestion. A total of 120 g CP/kg DM is recommended to improve apNDF ruminal digestibility, to optimize microbial synthesis and efficiency, and to promote efficient N usage. The similarity between microbial markers shows that PB technique can be used as an alternative to 15N to estimate microbial synthesis. The MCP true digestibility obtained for beef cattle under tropical conditions was 86% based on both microbial markers 15N and PB.

Footnotes

1Financial support for this research was provided by National Council of Scientific and Technological Development (CNPq), National Institute of Science and Technology in Animal Science (INCT – Ciência Animal), Coordination of Improvement of Personal Higher Education (CAPES), and Foundation for Research Support of the State of Minas Gerais (FAPEMIG).

LITERATURE CITED

  1. Ahvenjärvi S., A. Vanhatalo, and Huhtanen P.. 2002. Supplementing barley or rapeseed meal to dairy cows fed grass-red clover silage: I. Rumen degradability and microbial flow. J. Anim. Sci. 80:2176–2187. doi:10.2527/2002.8082176x [DOI] [PubMed] [Google Scholar]
  2. Allen M. S. 2000. Effects of diet on short-term regulation of feed intake by lactating dairy cattle. J. Dairy Sci. 83:1598–1624. doi:10.3168/jds.S0022-0302(00)75030-2 [DOI] [PubMed] [Google Scholar]
  3. Amaral P. M., Valadares Filho S. C., Detmann E., Santos S. A., Prados L. F., Silva Mariz L. D., Alves L. C., Menezes A. C. B., Villadiego F. A. C., Novaes M. A. S., et al. 2014. Effect of phase-feeding crude protein on performance and carcass characteristics of crossbred beef bulls: an application to reduce nitrogen compounds in beef cattle diets. Trop. Anim. Health. Prod. 46:419–425. doi:10.1007/s11250-013-0507-z [DOI] [PubMed] [Google Scholar]
  4. AOAC 2006. Official methods of analysis of AOAC international. 18th ed Assoc. Off. Anal. Chem, Gaithersburg, MD. [Google Scholar]
  5. Archibeque S. L., H. C. Freetly N. A. Cole, and Ferrell C. L.. 2007. The influence of oscillating dietary protein concentrations on finishing cattle. II. Nutrient retention and ammonia emissions. J. Anim. Sci. 85:1496–1503. doi:10.2527/jas.2006-208 [DOI] [PubMed] [Google Scholar]
  6. Bahrami-Yekdangi M., G. R. Ghorbani M. Khorvash M. A. Khan, and Ghaffari M. H.. 2016. Reducing crude protein and rumen degradable protein with a constant concentration of rumen undegradable protein in the diet of dairy cows: production performance, nutrient digestibility, nitrogen efficiency, and blood metabolites. J. Anim. Sci. 94:718–725. doi:10.2527/jas.2015-9947 [DOI] [PubMed] [Google Scholar]
  7. Bird P. 1972. Sulphur metabolism and excretion studies in ruminants VI. The Digestibility and utilization by sheep of 35S from 35S-labelled ruminal microorganisms. Aust. J. Biol. Sci. 25:195–204. doi:10.1071/BI9720195 [PubMed] [Google Scholar]
  8. Brito A. F., and Broderick G. A.. 2006. Effect of varying dietary ratios of alfalfa silage to corn silage on production and nitrogen utilization in lactating dairy cows1. J. Dairy. Sci. 89:3924–3938. doi:10.3168/jds.S0022-0302(06)72435-3 [DOI] [PubMed] [Google Scholar]
  9. Broderick G. A. 2003. Effects of varying dietary protein and energy levels on the production of lactating dairy cows. J. Dairy Sci. 86:1370–1381. doi:10.3168/jds.S0022-0302(03)73721-7 [DOI] [PubMed] [Google Scholar]
  10. Broderick G. A., Huhtanen P., Ahvenjärvi S., Reynal S. M., and Shingfield K. J.. 2010. Quantifying ruminal nitrogen metabolism using the omasal sampling technique in cattle—A meta-analysis1. J. Dairy. Sci. 93:3216–3230. doi:http://dx.doi.org/10.3168/jds.2009–2989 [DOI] [PubMed] [Google Scholar]
  11. Broderick G. A. and Merchen N. R.. 1992. Markers for quantifying microbial protein synthesis in the rumen. J. Dairy Sci. 75:2618–2632. doi:10.3168/jds.S0022-0302(92)78024-2 [DOI] [PubMed] [Google Scholar]
  12. Carro M. D., and Miller E. L.. 2002. Comparison of microbial markers (15N and purine bases) and bacterial isolates for the estimation of rumen microbial protein synthesis. Anim. Sci. 75:315–321. doi:10.1017/S1357729800053078 [Google Scholar]
  13. Cecava M. J., N. R. Merchen L. L. Berger R. I. Mackie, and Fahey G. C. Jr. 1991. Effects of dietary energy level and protein source on nutrient digestion and ruminal nitrogen metabolism in steers. J. Anim. Sci. 69:2230–2243. doi:10.2527/1991.6952230x [DOI] [PubMed] [Google Scholar]
  14. Chaney A. L. and Marbach E. P.. 1962. Modified reagents for determination of urea and ammonia. Clin. Chem. 8:130–132. [PubMed] [Google Scholar]
  15. Clark J. H., Klusmeyer T. H., and Cameron M. R.. 1992. Microbial protein synthesis and flow of nitrogen fractions to the duodenum of dairy cows. J. Dairy. Sci. 75:2304–2323. doi:10.3168/jds.S0022-0302(92)77992-2 [DOI] [PubMed] [Google Scholar]
  16. Detmann E., and Valadares Filho S. C.. 2010. On the estimation of non-fibrous carbohydrates in feeds and diets. Arq. Bras. Med. Vet. Zoo. 62:980–984. doi:10.1590/S0102-09352010000400030 [Google Scholar]
  17. Faverdin P. 1999. The effect of nutrients on feed intake in ruminants. Proc. Nutr. Soc. 58:523–531. doi:10.1017/S0029665199000695 [DOI] [PubMed] [Google Scholar]
  18. France J., and Siddons R. C.. 1986. Determination of digesta flow by continuous market infusion. J. Theor. Biol. 121:105–119. doi:10.1016/S0022-5193(86)80031–5 [Google Scholar]
  19. Huhtanen P., P. G. Brotz, and Satter L. D.. 1997. Omasal sampling technique for assessing fermentative digestion in the forestomach of dairy cows. J. Anim. Sci. 75:1380–1392. doi:/1997.7551380x [DOI] [PubMed] [Google Scholar]
  20. Imaizumi H., Santos F. A. P., Bittar C. M. M., Correia P. S., and Martinez J. C.. 2010. Diet crude protein content and sources for lactating dairy cattle. Sci. Agric. 67:16–22. doi:10.1590/S0103-90162010000100003 [Google Scholar]
  21. Ipharraguerre I. R., Clark J. H., and Freeman D. E.. 2005. Varying protein and starch in the diet of dairy cows. I. Effects on ruminal fermentation and intestinal supply of nutrients. J. Dairy. Sci. 88:2537–2555. doi:10.3168/jds.S0022-0302(05)72931–3 [DOI] [PubMed] [Google Scholar]
  22. Ipharraguerre I. R., Reynal S. M., Liñeiro M., Broderick G. A., and Clark J. H.. 2007. A comparison of sampling sites, digesta and microbial markers, and microbial references for assessing the postruminal supply of nutrients in dairy cows. J. Dairy. Sci. 90:1904–1919. doi:10.3168/jds.2006–159 [DOI] [PubMed] [Google Scholar]
  23. Koenig K. M. and Beauchemin K. A.. 2013. Nitrogen metabolism and route of excretion in beef feedlot cattle fed barley-based backgrounding diets varying in protein concentration and rumen degradability. J. Anim. Sci. 91:2295–2309. doi:10.2527/jas.2012-5652 [DOI] [PubMed] [Google Scholar]
  24. Krizsan S. J., Ahvenjärvi S., Volden H., and Broderick G. A.. 2010. Estimation of rumen outflow in dairy cows fed grass silage-based diets by use of reticular sampling as an alternative to sampling from the omasal canal1. J. Dairy. Sci. 93:1138–1147. doi:10.3168/jds.2009–2661 [DOI] [PubMed] [Google Scholar]
  25. Leão M. 2002. Metodologias de coletas de digestas omasal e abomasal em novilhos submetidos a três níveis de ingestão: consumo, digestibilidade e produção microbiana. Universidade Federal de Minas Gerais, Belo Horizonte. [Google Scholar]
  26. Leão M., and Coelho da Silva J.. 1980. Técnicas de fistulação de abomaso em bezerros. In: Annual Meeting of the Brazilian Society of Animal Science, 17, 1980, Fortaleza. Anais; Fortaleza: SBZ, p 37. [Google Scholar]
  27. Licitra G., Hernandez T. M., and Van Soest P. J.. 1996. Standardization of procedures for nitrogen fractionation of ruminant feeds. Anim. Feed Sci. Technol. 57:347–358. doi:10.1016/0377-8401(95)00837-3 [Google Scholar]
  28. Machado P. A., S. C. Valadares Filho E. Detmann S. A. Santos R. F. Valadares C. Ducatti P. P. Rotta, and Costa e Silva L. F.. 2013. Development of equations to estimate microbial contamination in ruminal incubation residues of forage produced under tropical conditions using 15N as a label. J. Anim. Sci. 91:3836–3846. doi:10.2527/jas.2012-5636 [DOI] [PubMed] [Google Scholar]
  29. Mariz L. D. S., Valadares Filho S. C., Detmann E., Pereira O. G., Pereira L. G. R., Marcondes M. I., Santos S. A., Villadiego F. A. C., Zanetti D., Prados L. F., et al. 2013. Intake and ruminal digestion determined using omasal and reticular digesta samples in cattle fed diets containing sugar cane in natura or ensiled sugar cane compared with maize silage. Livest Sci. 155:71–76. doi:10.1016/j.livsci.2013.04.003 [Google Scholar]
  30. Marshak A. and Vogel H. J.. 1951. Microdetermination of purines and pyrimidines in biological materials. J. Biol. Chem. 189:597–605. [PubMed] [Google Scholar]
  31. Menezes A. C. B., Valadares Filho S. C., Costa e Silva L. F., Pacheco M. V. C., Pereira J. M. V., Rotta P. P., Zanetti D., Detmann E., Silva F. A. S., Godoi L. A., et al. 2016. Does a reduction in dietary crude protein content affect performance, nutrient requirements, nitrogen losses, and methane emissions in finishing Nellore bulls?Agric. Ecosyst. Environ. 223:239–249. doi:10.1016/j.agee.2016.03.015 [Google Scholar]
  32. Mertens D. R. 2002. Gravimetric determination of amylase-treated neutral detergent fiber in feeds with refluxing in beakers or crucibles: collaborative study. J. AOAC Int. 85:1217–1240. [PubMed] [Google Scholar]
  33. Mutsvangwa T., Davies K. L., McKinnon J. J., and Christensen D. A.. 2016. Effects of dietary crude protein and rumen-degradable protein concentrations on urea recycling, nitrogen balance, omasal nutrient flow, and milk production in dairy cows. J. Dairy. Sci. 99:6298–6310. doi:10.3168/jds.2016–10917 [DOI] [PubMed] [Google Scholar]
  34. NRC 1985. Nutrient requirements of sheep. 6th ed Natl. Acad. Press, Washington, DC. [Google Scholar]
  35. NRC 2000. Nutrient requirements of beef cattle. Natl. Acad. Press, Washington, DC, USA. [Google Scholar]
  36. Pazdiora R., Pacheco R., Brondani I., Alves Filho D., Menezes L., Callegaro A., Pizzuti L., Weise M., Mayer A., and Borchate D.. 2014. Frequências do fornecimento do alimento no desempenho de vacas e novilhas em confinamento. Arch. Zootec. 63:3–12. [Google Scholar]
  37. Reynal S. M. and Broderick G. A.. 2005. Effect of dietary level of rumen-degraded protein on production and nitrogen metabolism in lactating dairy cows. J. Dairy Sci. 88:4045–4064. doi:10.3168/jds.S0022-0302(05)73090-3 [DOI] [PubMed] [Google Scholar]
  38. Reynal S. M., Broderick G. A., and Bearzi C.. 2005. Comparison of four markers for quantifying microbial protein flow from the rumen of lactating dairy cows*. J. Dairy. Sci. 88:4065–4082. doi:10.3168/jds.S0022-0302(05)73091–5 [DOI] [PubMed] [Google Scholar]
  39. Rotta P. P., Valadares Filho S. C., Costa e Silva L. F., Detmann E., Villadiego F. A. C., Engle T. E., Valadares R. F. D., Silva B. C., Pacheco M. V. C., and Zanetti D.. 2014a. Comparison of purine bases and 15N for quantifying microbial nitrogen yield using three marker systems and different sampling sites in zebu cross breed bulls. Livest Sci. 167:144–153. doi:http://dx.doi.org/10.1016/j.livsci.2014.06.010 [Google Scholar]
  40. Rotta P. P., S. C. Valadares Filho E. Detmann L. F. Costa e Silva M. F. Paulino M. I. Marcondes A. A. Lobo, and Villadiego F. A.. 2014b. Digesta sampling sites and marker methods for estimation of ruminal outflow in bulls fed different proportions of corn silage or sugarcane. J. Anim. Sci. 92:2996–3006. doi:10.2527/jas.2013-7364 [DOI] [PubMed] [Google Scholar]
  41. Salter D. N. and Smith R. H.. 1977. Digestibilities of nitrogen compounds in rumen bacteria and in other components of digesta in the small intestine of the young steer. Br. J. Nutr. 38:207–216. doi:10.1079/BJN19770080 [DOI] [PubMed] [Google Scholar]
  42. Scholljegerdes E. J., P. A. Ludden, and Hess B. W.. 2004. Site and extent of digestion and amino acid flow to the small intestine in beef cattle consuming limited amounts of forage. J. Anim. Sci. 82:1146–1156. doi:10.2527/2004.8241146x [DOI] [PubMed] [Google Scholar]
  43. Tamminga S. 1992. Nutrition management of dairy cows as a contribution to pollution control. J. Dairy. Sci. 75:345–357. doi:10.3168/jds.S0022-0302(92)77770–4 [Google Scholar]
  44. Ushida K., B. Lassalas, and Jouany J. P.. 1985. Determination of assay parameters for RNA analysis in bacterial and duodenal samples by spectrophotometry. Influence of sample treatment and preservation. Reprod. Nutr. Dev. 25:1037–1046. [DOI] [PubMed] [Google Scholar]
  45. Valadares Filho S. C., Machado P. A. S., and Chizzotti M. L.. CQBAL 3.0 2017. Brazilian feed composition tables for ruminants Available from cqbal.agropecuaria.ws/webcqbal/en/index.php (Accessed 30 may 2017).
  46. Valadares Filho S. C., Marcondes M. I., Chizzotti M. L., and Paulino P. V. R.. 2010. BR-Corte: nutrient requirements of Zebu and crossbred. Suprema Grafica Ltda, Viçosa, MG. [Google Scholar]
  47. Valadares Filho S. C., Silva L. F. C., Gionbelli M. P., Rotta P. P., Marcondes M. I., Chizzotti M. L., and Prados L. F.. 2016. BR-Corte: nutrient requirements of Zebu and crossbred. 3rd ed Suprema Grafica Ltda, Viçosa, MG. [Google Scholar]
  48. Valente T. N. P., Detmann E., and Sampaio C. B.. 2015. Review: recent advances in evaluation of bags made from different textiles used in situ ruminal degradation. Can. J. Anim. Sci. 95:493–498. doi:10.1139/cjas-2015–100 [Google Scholar]
  49. Wallace R. J., Newbold C. J., Bequette B. J., MacRae J. C., and Lobley G. E.. 2001. Increasing the flow of protein from ruminal fermentation - review. Asian-Australas. J. Anim. Sci. 14:885–893. doi:10.5713/ajas.2001.885 [Google Scholar]
  50. Waterlow J. C. 2006. Protein turnover. CABI publishing, Wallingford, UK. [Google Scholar]
  51. Yang W. Z., K. A. Beauchemin, and Rode L. M.. 2001. Effect of dietary factors on distribution and chemical composition of liquid- or solid-associated bacterial populations in the rumen of dairy cows. J. Anim. Sci. 79:2736–2746. doi:10.2527/2001.79102736x [DOI] [PubMed] [Google Scholar]
  52. Yuangklang C., Vasupen K., Wongsuthavas S., and Bureenok S.. 2010. Effect of protein level on nutrient digestion and nitrogen utilization in beef cattle. J. Anim. Vet. Adv. 9:1776–1779. [Google Scholar]
  53. Zinn R. A., Owens F. N.. 1980. Rapid procedure for quantifying nucleic acid content of digesta, 26–30. In: Owens F. N., ed. Protein requirements for cattle: Symposium. Oklahoma State University, Stillwater, Okla. Misc. Publ; 109. [Google Scholar]

Articles from Journal of Animal Science are provided here courtesy of Oxford University Press

RESOURCES