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* Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, United Kingdom
Division of Farm Animal Science, University of Bristol, United Kingdom
1 Corresponding author: jon.moorby{at}aber.ac.uk
| ABSTRACT |
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Key Words: milk fatty acids nitrogen balance organoleptic quality red clover silage
| INTRODUCTION |
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Although grass pastures can be both grazed and ensiled in a single season, the opportunity for use of this system of management is much less for red clover. The area of land that a dairy farmer can devote to a red clover crop for ensiling is likely to be small; therefore, red clover silage is most likely to be used strategically at a particular stage of lactation or mixed with other crops. Thomas et al. (1985) found immediate advantages but no beneficial carry-over effects of feeding red clover silage alone in early lactation or later in the same lactation, although mixing red clover with grass silage can offer benefits similar to those of feeding red clover silage alone (Bertilsson and Murphy, 2003; Dewhurst et al., 2003b). However, there is some evidence that the organoleptic qualities of milk produced using red clover silage are not as good as those produced from grass silage (Bertilsson and Murphy, 2003). This is potentially a result of changes in the fatty acid profile of milk produced from red clover silage, with increased concentrations of polyunsaturated fatty acids (PUFA) (Dewhurst et al., 2003b; Al-Mabruk et al., 2004; Vanhatalo et al., 2007), which may also lead to a reduction in the keeping qualities of the milk produced (Al-Mabruk et al., 2004). Increased concentrations of PUFA in milk result from the activity of the enzyme polyphenol oxidase (PPO; EC 1.10.3.1), which is present in high concentrations in red clover and reduces lipolysis and hence microbial biohydrogenation of fatty acids in the rumen (Lee et al., 2007, 2008).
Escherichia coli O157 is pathogenic in humans, with dairy herds being a potential source of contamination of the food chain (Wells et al., 1991; Zhao et al., 1995). Certain plant secondary compounds, including several coumarins, are known to inhibit the growth of E. coli O157 when incubated in rumen fluid (Duncan et al., 1998). Red clover contains high concentrations of plant secondary compounds, and although it is best known for its isoflavanoid content, red clover hay has been shown to reduce the amount of E. coli in cattle rumen contents (Jacobson et al., 2002). Feeding different conserved forages also had effects on fecal bacteria counts (Jacobson et al., 2002), and it was hypothesized that changing red clover silage to grass silage may alter the fecal bacterial population, including E. coli O157 counts.
The objectives of this experiment were to investigate the effect of mixing red clover and ryegrass silages at different ratios on feed intake, milk production, and whole-body N partitioning in dairy cows. The effects of diet on milk fatty acid profiles and the organoleptic qualities of the milk produced were also investigated. Diet effects on gut microbial populations were also investigated by studying feces.
| MATERIALS AND METHODS |
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For 3 wk before the start of the experiment all animals were fed a common covariate diet with ad libitum access (with refusals of at least 0.1 of the quantity offered) to grass silage and red clover (1:1 mix on a fresh matter basis) plus 4 kg/d of a standard purchased dairy concentrate feed (Dairy XGM 18 Nuts, Welsh Feed Producers, Carmarthen, UK). Cows were assigned to 1 of 6 replicate groups (Latin squares) of 4 animals shortly before the start of the experiment based on milk yield data collected over the week before the start of the experiment. Animals were ranked from highest to lowest milk yields: the top 4 yielding cows were then allocated to square 1, the next 4 yielders to square 2, and so on, with the lowest 4 yielding animals allocated to square 6. Within each Latin square, animals were allocated at random to each of the 4 treatments. Cows in Latin squares 1 and 4 were used for digestibility and whole-body N partitioning measurements.
Four dietary treatments were used in the experiment. These consisted of ad libitum access to 1 of 4 forages, comprising mixtures of grass and red clover silages, together with an allowance of 4 kg of the same concentrate per day (offered as 2 kg at each milking, at approximately 0500 and 1500 h). The forage treatments, prepared on a DM basis, were 1) 100% perennial ryegrass silage (Lolium perenne), R0; 2) 66%:34% perennial ryegrass:red clover silage, R34; 3) 34%:66% perennial ryegrass:red clover silage, R66; and 4) 100% red clover silage, R100. The grass silage was prepared as a large bunker from a perennial ryegrass sward using an inoculant (Powerstart, Genus plc, Nantwich, UK) according to the manufacturers guidelines. The grass was chopped at collection before ensilage, with the forage harvester knives set to give a chop length of approximately 25 mm. The red clover silage was prepared as large round bales from second and third cuts of a monoculture sward of red clover (cv. Milvus), also using Powerstart as an inoculant at ensiling; the red clover crop was not chopped before baling. During the experiment, the red clover used was a mixture of the 2 silage cuts in a ratio of 1 bale second-cut to 1 bale third-cut. The concentrate feed, that was fed in equal quantities to all cows, comprised wheat (40%), extracted rapeseed meal (17.5%), palm kernel expellers (10%), citrus pulp (7.5%), high-protein soy (6.5%), molasses (6.0%), extracted sunflower meal (6.0%), Megalac (3.0%; Volac International Ltd., Royston, UK), sugar beet pulp (1.5%), and a mineral and vitamin mix (2.0%) certified to contain 9,000 IU of vitamin A, 2,000 IU of vitamin D3, 30 mg of
-tocopherol, 50 mg of copper (as sulfate, carbonate, and metalosate), and 750 µg of selenium (as sodium selenite) per kilogram of the fresh concentrate.
Grass and red clover silages and the 2 silage mixes were prepared by thorough mixing in a Storti Labrador 120 mixer wagon fitted with a chopping auger (Rustons Engineering Co. Ltd., Huntingdon, UK). Forage was dispensed into individual feed bins of forage intake control feeders (Insentec B.V., Marknesse, the Netherlands) to allow automatic recording of ad libitum feed intakes in the free-stall barn, or into individual feed tubs (in the metabolism unit) as required, with cold storage (4°C) if kept for more than 1 d.
Between each experimental period, dietary treatments were switched from one to the other over the course of 4 d in steps of 25% difference between current and subsequent treatments. For example, changing from diet 1 (100% ryegrass silage) to diet 3 (34% ryegrass silage), cows were given diets in which the forage component was approximately 84, 68, and 52% ryegrass (the remainder being red clover) on the first, second, and third days, respectively, at the start of the new period, and onto their final diet with 34% ryegrass on the fourth day.
Measurements and Sample Analysis
Feed intakes and milk yields were recorded daily throughout the experiment, but only those data recorded during the last week of each period were used in statistical analyses. Samples of feed were collected and bulked weekly for analysis, with storage at –20°C. Concentrate samples (for all analyses) and silage samples (for freeze-DM, water-soluble carbohydrates, total N, pH, ammonia-N, VFA, and lactic acid) were submitted fresh (frozen). All other analyses were carried out using freeze-dried material; samples were dried to a constant weight to determine freeze-DM content. Silage pH was determined after water extraction using a Hydrus 400 pH meter (Fisher Scientific UK, Loughborough, UK). Ammonia-N concentration was determined enzymatically using glutamate dehydrogenase on a discrete analyzer (FP-901M Chemistry Analyzer, Labsystems Oy, Helsinki, Finland; test kit no. 66-50, Sigma-Aldrich Co. Ltd., Poole, Dorset, UK). Silage lactate concentration was analyzed using L-lactate dehydrogenase (Boehringer Mannheim test kit no. 10 139084 035, R-Biopharm Rhône Ltd., Glasgow, UK). Volatile fatty acids were determined by gas chromatography using a Chrompack CP 9002 chromatograph (CP-Sil 5CB column 10 m x 0.25 mm internal diameter; Varian Inc., Palo Alto, CA) following the method of Zhu et al. (1996). Sample OM concentration was determined by combustion at 550°C for 6 h in a muffle furnace. Silage residual water-soluble carbohydrate concentrations were determined as described by Thomas (1977). Total N concentration was determined using a Leco FP 428 nitrogen analyzer (Leco Corporation, St. Joseph, MI), and expressed as CP (total N x 6.25) concentration. Fiber analyses were carried out with the aid of Fibertec equipment (Tecator Ltd., Thornbury, Bristol, Somerset, UK). Neutral detergent fiber assayed with a heat-stable amylase and expressed inclusive of residual ash was determined as described by Van Soest et al. (1991). Acid detergent fiber expressed inclusive of residual ash was analyzed according to the method of Van Soest and Wine (1967). Ether extract was determined using Soxtec System HT6 equipment (Perstorp Analytical Ltd., Berkshire, UK) using petroleum ether at 40 to 60°C as the solvent.
Body weight and BCS at the loin and tailhead (using a 0 to 5 scale; Mulvany, 1977) were recorded at the start of the experiment and at the end of each experimental period. Milk samples (approximately 300 mL in total per cow) were collected for organoleptic qualities at each of 2 consecutive milkings at the end of each period on a Monday afternoon and Tuesday morning, and bulked and stored (without preservative) in a food-grade refrigerator. These bulked samples were pasteurized on the Tuesday morning by heating to 63°C and maintaining this temperature for 30 min in a water bath, and were then subsampled. Approximately 100 mL of the subsampled pasteurized milk sample was stored (frozen at –20°C, without preservative) for analysis of fatty acids. A remaining pasteurized sample was transported to Bristol University for taste panel analysis of organoleptic quality on the Thursday of each collection week. Additional individual morning and evening milking samples of the same (unpasteurized) milk (approximately 50 mL, with milk preservative) was sent for near infrared analysis of fat, protein, and lactose (National Milk Records, Chippenham, Wiltshire, UK).
In addition to the above measurements, for those animals housed in the metabolism unit, feed digestibility and N partitioning measurements were carried out during 6 d at the end of each experimental period as follows. Externally applied urine and feces separators were used to collect total outputs of excreta from the cows for 6 d. Subsamples of feed, excreta, and milk were collected, kept fresh (chilled to 4°C), and analyzed as described previously (Dewhurst et al., 2000; Moorby et al., 2000, 2006). Nitrogen balance was calculated as the difference between total N intakes (in feed) and N outputs (in excreta and milk). Apparent whole-tract diet digestibility was also measured at these times as the difference in intake and output of DM, OM, N, and NDF, and these values were used to calculate intakes of digestible diet components for all cows on the appropriate treatments. Diet ME (Mcal/kg) density was calculated as 3.7 x digestibility of OM expressed as a proportion (g/g) of the DM (Agricultural and Food Research Council, 1993). In addition to feces samples required for digestibility and N partitioning measurements, a further 50-mL mixed subsample from each cow was collected and subsampled. Part of this sample was stored frozen at –80°C for analysis by denaturing gradient gel electrophoresis (DGGE), and another part was kept fresh (chilled to 4°C) for assessment of E. coli O157 populations.
Milk fatty acids from thawed milk samples were extracted and methylated using the base-only method of Lee and Tweed (2008). Fatty acids were analyzed using a Varian CP3800 gas chromatograph fitted with a flame-ionization detector (Varian Ltd., Oxford, UK) and a CP-Select column (100 m x 0.25 mm x 0.2 µm; Varian Ltd.) as described by Lee et al. (2005).
Feces E. coli O157 populations were enumerated under aseptic conditions by the following method. A 30-g subsample of feces was added to 270 mL of Ringers solution in a Stomacher lab blender (Seward Ltd., Thetford, UK) bag and blended for 3 min. A sterile pipette was used to transfer 1 mL of this initial inoculum into 9 mL of Ringers solution to achieve a 1 in 10 dilution. A series of dilutions from 10–2 to 10–8 were prepared by repeated 1 in 10 dilutions for culturing. All dilutions were mixed using a vortex mixer for 5 to 10 s before plating. Sterile Petri dishes, previously prepared with sorbitol MacConkey agar containing 5-bromo-4-chloro-3-indoxyl-β-D-glucuronide (CM0981, Oxoid Ltd., Basingstoke, UK) with a cefixime tellurite selective supplement (SR0172E; Oxoid Ltd.) for the isolation of E. coli O157 (added at 1.25 mg per 500 mL of agar solution), were spread with 100-µL aliquots of the required inoculum dilutions. The Petri dishes were inverted and incubated at 37°C for 24 h. Total counts of E. coli colonies, and those of E. coli O157, were recorded on dilution plates with appropriate numbers of colonies, which were then back-calculated to give the number of colony-forming units per gram of feces.
Genomic DNA was extracted from fecal microbial samples (10 mg DM) using the BIO101 FastDNA SPIN Kit for Soil (Qbiogene Inc., Cambridge, UK) in conjunction with a FastPrep cell disrupter instrument (Bio101, ThermoSavant, Qbiogene Inc.) according to the manufacturers instructions, with the exception that the samples were processed for 3 x 30 s at speed 6.0 in the FastPrep instrument. Integrity of the DNA was verified by agarose gel electrophoresis.
Amplification of the V6-V8 region of the 16S rRNA gene was carried out with the primer pair F968GC (5'-CGC CCG CCG CGC GCG GCG GGC GGG GCG GGG GCA CGG GGG GAA CGC GAA GAA CCT TAC-3') and R1401 (5'-CGG TGT GTA CAA GAC CC-3') for total eubacterial population. All PCR amplifications were performed using a 2720 thermal cycler (Applied Biosystems, Warrington, UK) in 50-µL volumes containing 1 x PCR buffer (20 mmol/L Tris HCl, pH 8.4, 50 mmol/L KCl), 3 mmol/L MgCl2, 200 µmol of L-deoxyribonucleotide triphosphate (dNTP) mix, 500 nmol/L of each primer, and 1.25 U of iTaq DNA polymerase (Bio-Rad Laboratories Ltd., Hemel Hempstead, UK) with approximately 100 ng of DNA template. Amplification conditions were an initial denaturation of 95°C for 3 min followed by 35 cycles of 95°C for 30 s, 56°C for 30 s, and 72°C for 1 min and then a final extension of 72°C for 5 min. Amplification of products was verified by agarose gel electrophoresis. Amplicons were loaded onto 6% polyacrylamide gels with a 35 to 60% denaturing gradient [100% denaturant consisting of 40% (vol/vol) deionized formamide and 7 M urea], and electrophoresis was performed in a DCode system (Bio-Rad Laboratories Ltd.). Gels were run initially for 10 min at 200 V, before electrophoresis for 16 h at 85 V in 0.5 x Tris-acetate EDTA buffer at a constant temperature of 60°C (Huws et al., 2007). Gels were then stained with AgNO3 (Sanguinetti et al., 1994). Gels were scanned using a GS-710 calibrated imaging densitometer (Bio-Rad Laboratories Ltd.) and the saved image imported into the Fingerprinting software package (Bio-Rad Laboratories Ltd.) for analysis. Banding patterns were analyzed based on the presence and absence of the bands, and resultant binary matrices were translated into distance matrices using the Dice similarity coefficient, with a position tolerance of 0.5% and optimization parameter of 1%.
For measurement of protein-bound phenol, freeze-dried and ground silage samples (approximately 1 g DM) were ground in liquid N2 and extracted in 2 mL of McIlvaine buffer, pH 7.0, including 0.5% lithium dodecylsulfate and 75 mM ascorbic acid. Extracts were sonicated for 5 min, subsequently boiled for 3 min, centrifuged at 15,000 x g for 10 min at 4°C and the supernatant retained. Soluble protein was precipitated by addition of 1 mL 20% trichloroacetic acid, 0.4% phosphotungstic acid to 1 mL of extract. Following incubation for 30 min at 0°C, precipitated protein was pelleted by centrifugation at 15,000 x g for 10 min at 4°C. The supernatant was retained for soluble free phenol analysis and the protein pellet, which included protein-bound phenol, dissolved in 6 mL of 0.1 M NaOH and analyzed for protein and phenol content according to the method of Winters and Minchin (2005). The supernatant containing the soluble free phenols were adjusted to neutral pH by combining 480-µL volumes with 265 µL of 1M NaOH. Analysis of soluble free phenols was then carried out as described by Veltman et al. (1999) using tyrosine as a standard.
Taste Panel Analysis
Assessors were initially screened and selected for basic taste sensitivity following the procedure documented in British Standards Institution (1993). A training set of milk samples was used to give assessors experience of tasting milk and to derive terms for the profile. This training set consisted of 4 types of whole milk: West Country milk, organic whole milk, Jersey milk, and Jersey and Guernsey milk. A suggested descriptive profile (Hedegaard et al., 2006) was initially given to each assessor as a potential guide. The final sets of descriptors used are given in Table 1
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Statistical Analysis
Data were analyzed using Genstat version 9 (2006; Lawes Agricultural Trust, Rothamsted, UK) by ANO-VA. Treatment effects were separated by polynomial contrasts into linear and quadratic effects (with 0, 34, 66, and 100% red clover silage in the diet). For analysis of silage composition data, a blocking structure of experimental period was used. For cow-derived data, a blocking structure of experimental period x (Latin square/cow) was used to control period and between-cow variation. A dendrogram based on DGGE gel data was created using the unweighted pair group method with arithmetic mean. Numbers of DGGE bands for each cow, as reported by the gel image analysis software, were analyzed by ANOVA as above. Statistical significance was declared if P < 0.05.
| RESULTS |
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Both fat and protein concentrations in milk decreased with an increasing proportion of red clover silage in the diet, with significant linear effects, and a significant quadratic effect on protein concentration as this was lower from animals offered the R100 diet compared with those on diets containing ryegrass silage. The effect of diet on milk fat concentration appears to have been a result of dilution by increased milk yields, because milk fat yield was unaffected by treatment. Similarly, there was a quadratic effect of diet on milk protein yields, with the greatest yields being achieved by animals offered the 2 mixed silage diets. There was no effect of treatment on SCC in milk (grand mean of 145,000 cells/mL).
Milk fatty acid profiles were significantly affected by dietary treatment (Table 6
). Short-chain fatty acids (C4 to C10), the saturated fats (C12:0, C14:0, and C16:0), and the monounsaturated C14:1 and C16:1 and the PUFA cis-9 trans-11 conjugated linoleic acid (CLA) all decreased linearly (P < 0.001) with increasing proportions of red clover silage in the diet. However, the opposite was true for cis-monounsaturated C18:1, C18 PUFA, C20:0, and total long-chain fatty acids (C20+), which all increased linearly in response to increasing dietary proportions of red clover silage. Both C18:1 trans and phytanic acid showed quadratic responses, being higher in the mixes, whereas C18:0 was not different across dietary treatments.
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The PCR-DGGE analysis of 16S rRNA genes using primers universal for eubacteria indicated complex communities in fecal samples, with many similarities among cows receiving all dietary treatments (Figure 1
). However, there was little dietary effect on the eubacterial population in feces among cows, whereas some degree of period effect was apparent. For example, 2 main clusters were evident, separating animals regardless of diets with 57% of the band positions being similar. Further cluster analysis separated animals fed in period 4 except for one cow (Figure 1
). Analysis of variance of the band numbers generated from the gel was indicative of population changes among animals (i.e., affected by dietary treatment) as the band numbers declined from 32 to 25 for R0 to R100, respectively, although it did not reach a statistical significance (P of quadratic effect = 0.09).
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| DISCUSSION |
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Although milk yields from cows fed red clover silage, either alone or as mixtures with grass silage, were greater than those fed grass silage alone, differences in milk yields among treatments were modest, and the highest yields were obtained from cows consuming the 2 red clover/grass silage mix diets. Previous studies have shown mixed responses to feeding red clover silage alone, with some researchers finding positive responses compared with grass silage (Dewhurst et al., 2003b) and others finding little or no difference (Bertilsson and Murphy, 2003; Vanhatalo et al., 2007). In this study, milk yields from cows fed any of the 3 diets containing red clover silage were greater than those of cows fed grass silage alone, with the highest yields being achieved on the R66 mixed silage diet, and thus a slightly lower yield from cows fed red clover silage alone.
The apparent efficiency of milk production, in terms of kilograms of milk yielded per kilogram of DM consumed, was highest for the grass silage only diet, which was probably because of differences in diet digestibility. However, in terms of digestible DM intake the efficiency of milk production was lowest for grass silage alone, and increased as the proportion of red clover silage in the diet increased. This was associated with a concomitant loss of BW and BCS even though whole-body N balance was unaffected by treatment. Mobilization and use of body energy reserves for milk production by cows fed diets containing more red clover silage than grass silage, the reasons for which are not clear, explains why these cows apparently produced more milk per kilogram of digestible DM consumed.
A decrease in milk fat concentrations, as occurred in the current study, has been observed by others (Vanhatalo et al., 2007). An increase in C18 PUFA, C18:1 cis, and total long-chain fatty acids is also associated with red clover silage feeding (Dewhurst et al., 2003b; Al-Mabruk et al., 2004; Vanhatalo et al., 2007). Effects of red clover silage on milk fatty acid profiles have been associated with a reduction in lipolysis and subsequently biohydrogenation in the rumen, either through the actions of the PPO enzyme system (Lee et al., 2007), increased rumen passage rate on red clover diets (Vanhatalo et al., 2007), or a combination of both. The lower proportions of CLA in milk fat with increasing dietary ratios of red clover also indicate a mechanism reducing biohydrogenation and the formation of C18:1 trans-11. This biohydrogenation intermediate is converted to CLA in the mammary gland by the enzyme
9-desaturase (EC 1.14.19.1) and represents the primary source of CLA in milk (Griinari et al., 2000). The PPO enzyme system converts free phenol substrate into quinines, which then react with amino acids within proteins forming protein-bound phenol (Igarashi and Yasui, 1985); therefore, a measure of these 2 phenol fractions can indicate the relative activity of the PPO in the crop during ensiling. As expected, the level of protein-bound phenol was higher in silage mixtures with a greater proportion of red clover, indicating PPO protection of the forage proteins and lipids (Lee et al., 2007).
Protein concentrations but not yields were significantly lower in milk from cows fed the red clover silage, and the reduction, compared with grass silage-fed cows, was greatest for diet R100; diets that contained at least some grass silage maintained protein concentrations. The CP concentration of the grass silage used in this study was relatively high (higher than comparable grass silages produced at the institute for similar studies), whereas the CP concentration of the red clover silage was similar to red clover silages produced previously (Dewhurst et al., 2003b; Merry et al., 2006). The apparent efficiency of synthesis of milk protein (g of milk protein produced per g of dietary protein consumed) was greater for cows fed the diets containing grass silage than for those fed the red clover silage alone. This may be due to the ratio of forage water-soluble carbohydrates to N in the silage, leading to increased microbial protein flow out of the rumen; previous studies have shown that mixing red clover and grass silages improves the yield of microbial N at the duodenum in relation to the amount of feed N consumed (Merry et al., 2006). However, although urinary excretion of purine derivatives was greatest from cows fed on grass silage alone, suggesting higher microbial protein flows from the duodenum (Moorby et al., 2006) on this diet, this is unlikely to be the complete explanation because purine derivative excretion from cows offered the 2 mixed diets was lowest.
Milk Organoleptic Qualities
Al-Mabruk et al. (2004) reported reduced oxidative stability of fresh milk produced from red clover silage compared with milk from grass silage, which they linked to increased concentrations of PUFA, and the effect was mitigated by the addition of
-tocopherol to the diets. Bertilsson and Murphy (2003) reported organoleptic differences (based on results from 2 experts) between milks produced from clover and grass silages, with milk from red clover in particular deviating from what was expressed as a "good taste." In our study, the only significant effect on milk flavor was on the "boiled milk" attribute, with milk produced by red clover-fed cows having the highest score. In terms of appearance, milk from red clover-fed cows was whiter and thinner textured compared with milk from cows fed grass silage; the difference in appearance is likely because of differences in β-carotene contents of the 2 silages, which is transferred to milk and alters the color (Martin et al., 2005).
Nitrogen Partitioning
Increased dietary intakes of N as the proportion of red clover silage in the diet increased led to increased outputs of N in feces and urine. There was no difference in the apparent partitioning of dietary N between feces and urine so that, on average, approximately 72% of the feed N consumed was excreted across all treatments. In this study, mixing red clover with grass silage had relatively little effect on the efficiency of milk protein production, which was lowest in cows offered red clover silage as the sole forage, agreeing with the data of Dewhurst et al. (2003b). Indeed, as discussed above, the purine derivative excretion data suggest that cows offered red clover silage in the diet probably had a lower flow of microbial protein to the duodenum than cows offered grass silage alone. This may be an effect of the PPO activity in the red clover at ensiling reducing protein degradability in the rumen, leading to lower rates of microbial protein synthesis. The rates of excretion of purine derivatives relative to DM intake were similar for all cows offered red clover in their diets, and were lower compared with cows that received grass silage only, suggesting lower rates of microbial protein flow from the duodenum per unit of DM intake. Conversely, reduced degradability of red clover N in the rumen is likely to have led to increased flows of undegraded feed protein to the duodenum (Merry et al., 2006) so that total protein flow may have been similar. Bertilsson and Murphy (2003) observed substantial differences in allantoin excretion between grass silage-fed cows and red clover silage-fed cows, but only with second-cut red clover silages; it is possible that the PPO activity of the red clover used for the second-cut silage was much higher than that of the clovers in the first cuts, leading to greater rates of protein protection.
Fecal Bacterial Populations
It was hypothesized that feeding red clover silage would alter the fecal bacterial population, as measured by DGGE and by enumeration of E. coli. Neither method found major differences between dietary treatments, although previous work has shown that large differences in rumen bacterial populations may be expected when feeding ryegrass or red clover silages (Huws et al., 2006). Fecal DGGE profiles are more likely to be influenced by hindgut bacterial populations; a major assumption of the purine derivative technique is that a large proportion of nucleic acids flowing from the abomasum are degraded and absorbed from the small intestine (McAllan, 1980), and would therefore not be present in feces. Therefore, the lack of major treatment effects on fecal DGGE profiles suggests that hindgut fermentation was not significantly affected by the availability of nutrients reaching the large intestine. This in turn suggests that any protection of proteins in red clover silage brought about by PPO activity is likely to have been lost once the digesta reached the duodenum. Although Jacobson et al. (2002) observed differences among various bacterial groups, their work was done principally with dried forages (hays). The reduction in fecal E. coli populations when animals were fed red clover hay was not replicated in this study with red clover silage.
| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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Received for publication October 1, 2008. Accepted for publication November 1, 2008.
| REFERENCES |
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9-desaturase. J. Nutr. 130:2285–2291.This article has been cited by other articles:
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A. Vanhatalo, K. Kuoppala, S. Ahvenjarvi, and M. Rinne Effects of feeding grass or red clover silage cut at two maturity stages in dairy cows. 1. Nitrogen metabolism and supply of amino acids J Dairy Sci, November 1, 2009; 92(11): 5620 - 5633. [Abstract] [Full Text] [PDF] |
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