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* Unité Mixte de Recherches INRA-Agrocampus Production du Lait, Domaine de la Prise, 35590 Saint-Gilles, France
Unité Mixte de Recherches, INRA-INAPG Physiologie de la Nutrition et Alimentation, INRA-INAPG, 16 rue Claude Bernard, F-75231 Paris Cedex 05, France
1 Corresponding author: jean-louis.peyraud{at}rennes.inra.fr
| ABSTRACT |
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Key Words: dietary cation-anion difference performance acid-base status dairy cow
| INTRODUCTION |
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A large DCAD, defined as milliequivalents of (Na + K Cl S) per kilogram of DM (Tucker et al., 1991), should assist in preventing metabolic acidosis because the absorption of Na and K will increase blood HCO3 concentration (Stewart, 1983). A large positive DCAD could also alter ruminal fermentation and increase ruminal pH, as suggested by Roche et al. (2005). There is some evidence that milk yield, fat yield, and DMI increase along with DCAD in early and mid-lactating dairy cows fed high-grain and low-roughage diets (Tucker et al., 1988; West et al., 1991).
The effect of increased DCAD on the cows performance may differ according to the proportion and type of concentrate in the diet. Increasing DCAD could be more efficient when concentrates rich in rapidly degradable starch make up a high proportion of the diet offered to dairy cows, because of either direct ruminal buffering or a systemic buffering effect. Consequently, the target level of DCAD may depend on the concentrate-to-forage ratio of the diet. In the present study, we aimed to test this hypothesis by examining the effects of increasing DCAD from 0 to 300 mEq/kg of DM on DMI, milk production, and acid-base status in lactating dairy cows receiving diets with different roughage-to-concentrate ratios.
| MATERIALS AND METHODS |
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Treatments and Feeding
Six diets were formulated with various different levels of concentrate and DCAD (Table 1
). The low-concentrate diets (LC) consisted of 21% concentrate and minerals and 79% corn silage on a DM basis. The high-concentrate diets (HC) consisted of 41% concentrate and minerals and 59% corn silage. The 3 planned DCAD levels were 0 (LD), 150 (MD), and 300 (HD) mEq/kg of DM. The 6 experimental diets were 1) low concentrate with low DCAD (LCLD), 2) low concentrate with medium DCAD (LCMD), 3) low concentrate with high DCAD (LCHD), 4) high concentrate with low DCAD (HCLD), 5) high concentrate with medium DCAD (HCMD), and 6) high concentrate with high DCAD (HCHD).
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Differences in DCAD values were obtained by manipulation of dietary Na and Cl. Two mineral mixtures were used to set the medium and high DCAD levels. The ingredients of the 2 mineral mixtures are shown in Table 1
. Low DCAD was obtained by adding 0.8% NH4Cl to the MD diets (Table 1
). High DCAD was obtained by replacing CaCO3 by NaCO3 and Na2PO4. With increasing DCAD, Na content increased from 0.21 to 0.50% DM, whereas Cl content decreased from 1.05 to 0.45% DM (Table 1
). The concentrations of other minerals were kept constant to ensure that the observed effects could be attributed to the manipulation of DCAD. The K, S, Ca, P, and Mg contents averaged 1.15, 0.12, 0.77, 0.33, and 0.19% DM, respectively. The S content was low because of the corn silage, which contained only 0.62 g of S/kg of DM.
The diets were formulated to supply similar amounts of NEL (1.57 MCal/kg of DM), total CP content (14.5% DM), and digestible protein in the intestine (PDI, 95.6 g/kg of DM) to meet energy, protein, Ca, and P requirements (Institut National de la Recherche Agronomique, 1989). The diets were supplemented with urea to cover 105% of the microbial requirements of degradable N.
Corn silage, concentrate, and mineral supplements were mixed in 6 different TMR. The cows were fed individually to ensure ad libitum intake (allowing more than 10% orts) twice daily at 0900 and 1600 h (50:50). Cows were housed in free stalls. To control mineral supply, no straw or mineral blocks were provided. Cows were milked twice daily at 0700 and 1730 h and weighed once a week.
Sampling Schedule and Procedure
Feeds and Orts.
Voluntary DMI was individually recorded daily during the experiment using an individual electronic gate. The DM content of corn silage was determined (80°C, 48 h) every 3 d to adjust the proportion of corn silage in the diets. Orts were collected and weighed daily before the morning feeding. To calculate DMI, the composition of orts was assumed similar to the offered diet. For chemical analyses, oven-dried samples of corn silage were pooled over each period, whereas concentrates and mineral mixtures were sampled weekly, and the samples were pooled over the whole experimental period. All samples were ground with a 3-blade knife mill through a 0.8-mm screen. Organic matter content was determined by ashing at 550°C for 6 h. Feed N was determined by the Dumas method (Association Française de Normalisation, 1985a). Feed NDF and ADF were analyzed according to the method initially described by Van Soest et al. (1991). Starch was determined by Ewers polarimetric method (Association Française de Normalisation, 1985b). Minerals (except P, Cl, and S) were measured by atomic absorption spectrophotometry (Spectra-AA20, Varian, Les Ulis, France) after dry-ashing at 550°C (for Ca and Mg) or 500°C (for Na and K) for 12 h. The ash was acidified with HCl before analysis. The P concentration was measured using the alkalimeter ammonium molybdate method (AOAC, 1984). The Cl concentration was determined by potentiometric titration with silver nitrate (Compact titrator, Crison, Barcelona, Spain). The S concentration was determined by gravimetry after drying at 525°C with an MgNO3 solution and precipitating with a BaCl solution.
Milk.
Milk yield was recorded at each milking using electronic flow meters (Metatron 21, Westfalia, Germany). Protein and fat contents were determined by infrared analysis (Milkoscan, Foss Electric, Hillerød, Denmark) on individual samples collected on 6 successive milkings each week. For detailed milk analysis, 12 cows (2 per block) were chosen as representative of each block and were sampled at each period. On d 18 of each period, 250 mL of milk were taken at the morning milking for analysis of fatty acid composition and lactose and at the morning and evening milking for Na, K, and Cl. The milk pH was measured, and the samples were stored immediately afterwards at 20°C pending further chemical analysis. Lactose was analyzed according to Hurtaud et al. (1993). Milk fatty acids were analyzed by chromatography after extraction. Briefly, lipids were extracted from 1 mL of milk fat according to Bauchart and Duboisset (1983), using 0.5 mL of ethanol:HCl solution (4:1, vol/vol) followed by 0.5 mL of hexane. Milk fatty acids were then transesterified by 2 methods. For fatty acid butyl esters, lipids were esterified with 1 mL of butanol:HCl solution (100:5, vol/vol), followed by 2 mL of hexane. For fatty acid methyl esters, lipids were esterified with 1 mL of methanol:NaOH solution (100:2, vol/vol) followed by 0.5 mL of methanol boron trifluorure solution (100:20, vol/vol) and 2 mL of hexane. Fatty acid methyl ester was used to obtain the unsaturated fatty acid. Both fatty acid esters (butyl and methyl) dissolved in hexane were injected into a gas chromatograph (Varian 3400, Les Ulis, France) equipped with an electron ionization detector. The separation of fatty acid butyl esters was performed with an OV-1 fused silica capillary column (25 m x 0.32 mm i.d.). The oven temperature was programmed to rise from 70 to 220°C at 100°C/min. Injector and detector were at 220 and 250°C, respectively (Rigout et al., 2002). Separation of fatty acid methyl esters was performed using an SP2560 (Supelco, Bellefonte, PA) fused silica capillary column (100 m x 0.25 mm i.d.) at a fixed temperature, 160°C. Both injector and detector were at 230°C. The carrier gas was helium. Among the conjugated linoleic acids, only cis-9,trans-11 C18:2 was identified with the column. Milk Na and K were analyzed by atomic absorption spectrophotometry (Spectra-AA20, Varian) after deproteinization of 10 mL of milk using 20 mL of distilled water, and 5 mL of TCA 20% (wt/vol). Milk Cl was analyzed by potentiometric titration (Compact titrimeter, Crison) after 1:10 dilution in distilled water.
Blood.
Blood was collected on d 24 by coccygeal puncture at 0730 h before the beginning of the morning meal using 2.0-mL syringes for blood gases (S-Monovette; Sarstedt, Nümbrecht, Germany) and 7.5-mL syringes containing heparin at 12 to 30 IU/mL (S-Monovette; Sarstedt) for analysis of glucose, lactate, BHBA, NEFA, and urea. For blood gases and minerals, a second sample was taken at 1330 h. Blood pH, blood HCO3 concentration, blood CO2 partial pressure (pCO2), standard base excess (SBE), blood hemoglobin, and blood minerals (Na, K, Cl, and Ca) were immediately determined by potentiometry using a blood gas and mineral analyzer (ABL 330, OSM3, EML 105, Radiometer, Copenhagen, Denmark). For the analysis of metabolites, blood samples were centrifuged at 3000 x g for 12 min at 4°C. For lactate determination, 4 mL of plasma was deproteinized with 8 mL of perchloric acid. Samples were stored at 20°C before laboratory analysis. Plasma concentrations of metabolites were measured on a multiparameter analyzer (KONE Instruments Corporation, Espoo, Finland) using a kit for glucose (kit glucose hexokinase, Diagnostics, Meylan, France), a kit for lactate (ref. 61192, BioMerieux, Marcy LEtoile, France), a kit for BHBA (RB 1007, Randox, Maugio, France), a kit for NEFA (NEFA C test, Wako, Oxoid, Davdilly, France), and a kit for urea (ref. 11703, Thermo Electron, Cergy-Pontoise, France).
Statistical Analyses
Intake, milk production, milk composition, and BW were calculated over the last 2 wk of each period. Energy and PDI balances were calculated from the mean value for each cow according to methods described by the Institut National de la Recherche Agronomique (1989). Data were analyzed using the GLM procedure of SAS (SAS Institute, 1990), according to the model for a split-plot design. The linear model used is described by the following equation:
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where Yijkl = variable studied during period; µ = overall mean of the population; Conci = effect due to the concentrate level i (LC vs. HC; tested against the mean square of cow within the concentrate group effect); Cj(i) = effect due to cow j fed diet i; Dk = effect due to DCAD k; Pl = effect due to period l; DConcki = interaction between DCAD and concentrate level; ConcPil = interaction between concentrate and period; and eijkl = error associated with each Yijkl.
The sum of squares of the D and DConc effects were further partitioned into comparisons with a single degree of freedom to provide the linear and quadratic effects of DCAD and its interaction with the concentrate level using the orthogonal polynomial method (Gill, 1978). For the statistical analysis of blood gases, we determined 3 classes of blood from coccygeal sampling. We assumed that O2 saturation was higher than 95% in arterial blood and was lower than 75% in venous blood. Oxygen saturation values between 95 and 75% were considered representative of a mixture of arterial and venous blood (Shapiro et al., 1992).
| RESULTS |
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Milk Fatty Acid Composition and Yield
Milk fatty acid composition and yield for the 12 selected cows are presented in Table 5
. When cows were fed the HC diets, the proportion of saturated odd-chain fatty acids in the milk increased (P < 0.01), whereas the proportion of even short-chain fatty acids (C4:0 to C12:0) and the proportion of C16:0 were unaffected by the level of concentrate. The proportion of C14:0 (P < 0.10) and C18:0 (P < 0.05) decreased with the HC diets. The proportion of monounsaturated fatty acids and, in particular, the proportion of cis-9 C18:1, trans-10 C18:1, and trans-11 C18:1 were not affected by the level of concentrate. The proportion of polyunsaturated fatty acids tended to increase with the increase in concentrate, whereas the proportions of C18:3, C18:2, and cis-9,trans-11 C18:2 were unaffected. Increasing DCAD tended to decrease the proportion of odd-chain fatty acids, especially with the HC diet (interaction of DCAD with level of concentrate, P < 0.05). The proportions of short and medium fatty acids, as well as the proportions of mono-and polyunsaturated fatty acids, were unaffected by altering DCAD. This did not apply to the proportion of trans-10 C18:1, which showed a decrease with increasing DCAD only when cows were fed the HC diet (interaction of DCAD with level of concentrate, P < 0.05).
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Blood and Milk Minerals
Blood mineral concentrations varied little with the treatments (Table 6
). Before the meal, blood mineral concentrations were unaffected by the treatments, except for the concentration of Cl, which decreased linearly with falling Cl input (P < 0.001). At 1330 h, blood Na and Cl concentrations showed an increase (P < 0.05) when HC diets were fed. Blood Cl (P < 0.001) and Ca (P < 0.10) concentrations decreased with falling Cl input and K concentration was minimal when HCMD diet was fed. Finally, the blood electrolyte difference (expressed as mEq/L of Na + K Cl) was not affected by the treatments before the meal, but increased (P < 0.001) with increasing DCAD, and tended to be lower for HC than for LC diets (P < 0.10) at 1330 h.
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| DISCUSSION |
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Some of the animal responses indicate that 2 contrasting ruminal conditions were created. The milk fat content decreased from 4.23% during the pre-experimental period to 3.58% when cows were fed HC diets, even though the fatty acid composition of the diet was not modified. This decrease in milk fat percentage is typical of a modification of rumen fermentations related to concentrate-rich diets (Doreau et al., 1999). In an experiment with fistulated cows receiving the same diets, ruminal pH (6.06 vs. 6.33) and acetate:propionate ratio (2.36 vs. 2.83) were lower in HC than in LC cows (Apper-Bossard and Peyraud, 2004). The increased production of milk odd-chain fatty acids in HC cows may be related to increased production of propionate in the rumen, because the utilization of propionate is well known in the synthesis of odd-chain fatty acids in milk (Emmanuel and Kennelly, 1985). The higher concentration of glucose and lower concentration of BHBA in plasma of HC cows, together with the lower production of C18:0 in milk, might reflect higher propionate production in the rumen leading to a more anabolic profile compared with LC cows. Finally, we did not observe any overall effect of concentrate level on DMI. Concentrate supplementation is expected to increase DMI and milk yield, the substitution between concentrate and forages being lower than 1.0 irrespective of the carbohydrate source (Faverdin et al., 1987). Peyraud (2000) reported a substitution rate higher than 1.0 when increasing the proportion of wheat from 20 to 36% in cows fed a finely ground diet, leading to very low ruminal pH after the meal (5.7) and a very low acetate:propionate ratio (1.9).
Increase of DCAD Increases Intake and Milk Fat Content, but only in HC Cows
Increasing DCAD produced a linear increase of DMI for HC-fed cows. Previous studies have also reported, for a similar range of variation of DCAD, a positive correlation between DCAD and DMI in lactating cows fed high-concentrate and low-roughage diets (Tucker et al., 1988; Waterman et al., 1991; West et al., 1992). On the contrary, our results show that increasing DCAD does not affect DMI in LC cows. Thus, it appears that high DCAD leads to an increase in DMI when concentrates rich in rapidly degradable starch make up a high proportion of the diet offered to dairy cows. For high DCAD, the effect of concentrate on DMI is within the range predicted by the French Fill Units (+1.4 kg DM/d). On the other hand, for low DCAD, the concentrate failed to produce an increase in DMI. Roche et al. (2005) also reported a positive correlation between DCAD and DMI in dairy cows fed fresh forages. Fresh high-quality pastures lead to very low rumen pH (Delagarde et al., 1998), suggesting that altering DCAD could affect DMI not only with high-concentrate diets but also more generally for diets causing low ruminal pH.
In HC cows, the increase in DCAD produces an increase in milk fat percentage and fat yield, resulting in an increase of 4% FCM yield but no effect on milk yield. The increase in 4% FCM by 1.8 kg/d corresponds to an additional requirement of 1.36 MCal/d of net energy, which accounts for 75% of the additional supply of net energy intake. West et al. (1992) and Tucker et al. (1994) reported an increase in the milk fat percentage on increasing DCAD, without any effect on milk yield. In these studies, as in the present trial, cows fed with the low DCAD diet produced low fat milk (3.4%), but the blood pH (7.45) and blood HCO3 concentration (27 mEq/L) suggests they were not under conditions of subacute metabolic acidosis (Schotman, 1971). Roche et al. (2005) reported similar results with cows fed fresh forages. Conversely, some studies have reported an increase in milk yield without changes in milk fat percentage (Tucker et al., 1991; West et al., 1991). In these studies, cows were in subacute metabolic acidosis, as indicated by low blood pH values (7.34) and blood HCO3 concentration (19 mEq/L). However, the cows produced milk with a normal fat percentage (ranging from 3.8 to 4.2%), suggesting that they did not develop a subacute rumen acidosis. When subacute rumen and subacute metabolic acidosis were induced by feeding a very rich concentrate diet with negative DCAD, both the milk yield and the milk fat percentage rose as a function of increasing DCAD (Escobosa et al., 1984). These responses were related to large increases in DMI (6 kg/d). Thus, it appears that increasing the DCAD produces an increase in milk fat content without any change in milk yield when cows are fed highly degradable diets but are not in metabolic acidosis.
Finally, although no specific DCAD level seems to be required when cows are fed slowly degradable diets, positive DCAD levels are required to maximize DMI and FCM when being fed highly degradable diets. Because the response curves in our study were linear, it was not possible to find a threshold value above which there was little or no effect of DCAD on DMI. However, we can recommend a DCAD level not exceeding 300 mEq/kg of DM in view of the fact that several studies show DMI reaching a plateau, or even slightly decreasing, for DCAD values higher than 300 mEq/kg DM (Hu and Murphy, 2004).
Mechanisms Contributing to the Increase of Intake and 4% FCM Yield
The increase of milk fat percentage with increasing DCAD only occurs when cows are fed high-concentrate diets. This suggests a rumen buffering effect of DCAD, partly supported by the change in milk fatty acids yield, because DCAD modifies the yield of several fatty acids in HC but not in LC cows.
Firstly, in HC cows, the yield of trans-10 C18:1 shows a decrease with increasing DCAD, whereas the yield of trans-11 C18:1 increases sharply. These results are induced by changes in microbial processes involving a shift in the biohydrogenation pathways of C18:2 that become oriented toward trans-11 C18:1 rather than trans-10 C18:1 (Bauman and Griinari, 2003). This shift might be due to a ruminal buffering effect of DCAD. Kalscheur et al. (1997) showed that trans-10 C18:1 was produced when ruminal pH decreased. In an experiment with fistulated cows receiving the same HC diets, Apper-Bossard and Peyraud (2004) showed that high DCAD lowers the decrease in ruminal pH during the meal. Higher blood HCO3 concentration with high DCAD may increase HCO3 recycling into the rumen with the saliva, thus contributing to the possible ruminal buffering effect of high DCAD. Because the increased milk fat content of trans-10 C18:1 is typical of diets causing milk fat depression (Griinari et al., 1999), these changes in ruminal metabolism may explain the positive correlation between DCAD and milk fat percentage in HC cows. Indeed, several studies have demonstrated that trans-10 cis-12 C18:2 is an inhibitor of milk fat synthesis (Baumgard et al., 2001). Although this fatty acid was not determined in the present study, the trans-10 cis-12 C18:2 and trans-10 C18:1 levels are closely correlated in milk fat (Loor and Herbein, 2001), suggesting that the yield of trans-10,cis-12 C18:2 might be affected by DCAD.
Secondly, increasing DCAD causes a drop in the yield of odd-chain fatty acids in milk. Odd-chain fatty acids arise from propionate elongation and are of microbial origin. Therefore, despite the increase in DMI (and increase in production of VFA), a lower yield of these fatty acids may indicate a lower proportion of ruminal propionate or modifications of the microbial synthesis and flow into the duodenum. The possible higher production of propionate at low DCAD is also in agreement with the low blood NEFA concentration found when feeding HCLD because propionate is insulinotropic and favors C18:0 use by adipose tissue (De Jong, 1982).
Besides the ruminal buffering effect of DCAD, we cannot rule out that an improvement in the cows acid-base status could favor the response of DMI. The increase of DCAD led to an increase in blood pH, blood HCO3 concentration, and SBE, in agreement with the data of Hu and Murphy (2004). In the present study, blood pH, blood HCO3 concentration, and base excess are similar or higher with HCHD than with the 3 LC diets in spite of large differences in DMI of rapidly degradable starch (0.8 vs. 5.4 kg/d of the wheat-barley mixture). Thus, high DCAD might prevent any drop in blood acid-base status when feeding high amounts of rapidly degradable starch. Previous studies have shown a drop in blood HCO3 concentration and base excess when dairy cows or beef cattle were challenged with high amounts of starch (Goad et al., 1998; Faverdin et al., 1999) and this decrease was accompanied by a reduction in DMI.
| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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Received for publication December 14, 2004. Accepted for publication July 1, 2005.
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