Effects of Forage Sources on Rumen Fermentation Characteristics, Performance, and Microbial Protein Synthesis in Midlactation Cows
Article information
Abstract
Eight multiparous Holstein cows (632±12 kg BW; 135±16 DIM) were used in a replicated 4×4 Latin square design to evaluate the effects of forage sources on rumen fermentation characteristics, performance, and microbial protein (MCP) synthesis. The forage portion of the diets contained alfalfa hay (AH), oat hay (OH), Leymus chinensis (LC), or rice straw (RS) as the primary source of fiber. Diets were isonitrogenous and isocaloric, and cows were fed four corn silages based total mixed rations with equivalent nonfiber carbohydrate (NFC) and forage neutral detergent fiber (NDF). Dry matter intake was not affected by the source of dietary forages, ranging from 18.83 to 19.20 kg/d, consequently, milk yield was similar among diets. Because of the numerical differences in milk fat and milk protein concentrations, 4% FCM and ECM yields were unchanged (p>0.05). Mean rumen pH, NH3-N content, and concentrations of volatile fatty acids in the rumen fluid were not affected by the treatments (p>0.05). Dietary treatments did not affect the total tract apparent digestibility of dry matter, organic matter, and crude protein (p>0.05); however, digestibility of NDF and acid detergent fiber in RS diet was higher compared with AH, OH, and LC diets (p<0.05). Total purine derivative excretion was higher in cows fed AH, OH, and LC diets compared with those fed RS diet (p<0.05), consequently, estimated MCP synthesis was 124.35 g/d higher in cows fed AH diet compared with those fed RS diet (p<0.05). The results indicated that cows fed AH, OH, LC, and RS diets with an equivalent forage NDF and NFC have no unfavourable effect on the ruminal fermentation and productive parameters.
INTRODUCTION
Adequate dietary fiber is very important for dairy cow to maintain rumen health and microbial protein (MCP) synthesis by sustaining a stable environment in the rumen. Forage usually makes up half or more of the diet of a lactating dairy cow, affecting the dry matter intake (DMI) and thereby affecting the energy and carbohydrate intake (Kendall et al., 2009). However, high-quality forages such as alfalfa hay (AH) are especially in short supply with the gap between supply and demand increasing by 10% annually (Zhu et al., 2013). In China, the primary sources of fiber in ruminant diets are corn silage and grasses (Leymus chinensis) and oat hay being the most prevalent. At the same time, rice straw (RS) is also an important roughage resource particularly during summer months for dairy cows (Su et al., 2012), and it is being added to rations on many Chinese dairy farms.
The contents of crude protein (CP), nonfiber carbohydrate (NFC), neutral detergent fiber (NDF), and digestibility of NDF are different among these forages. AH is generally regarded as one of the best forages for dairy cows because of its perceived high contents of CP and NFC compared with the grasses and RS; however, the price of AH in China has risen sharply and 230×106 kg of AH has been imported from United States (Wang, 2011). However, the annual yield of RS is about 188 million tons in China (Guo et al., 2002), and oat hay (OH) and Leymus chinensis (LC) have been extensively included in dairy cow rations (Yang et al., 2009).
Previous studies have generally reported that feeding alfalfa hay increased DMI, MCP, and performance of goats (Cantalapiedra-Hijar et al., 2009) and lactating dairy cows (Vanhatalo et al., 2009; Holt et al., 2013; Zhu et al., 2013). In contrast, several studies have shown that forage sources have no unfavourable effect on the productive parameters (Gencoglu et al., 2007) and alfalfa hay can be replaced by grass hay or straw on corn silage based diets to lactating dairy cows (Eastridge et al., 2009). The objectives of this experiment were to determine the effects of forage sources on rumen fermentation characteristics, lactating performance, and MCP synthesis in midlactation dairy cows fed equivalent concentrations of forage NDF (FNDF) and NFC diets.
MATERIALS AND METHODS
Animals, diets and experimental design
Eight multiparous Chinese Holstein cows (632±12 kg BW; 135±16 DIM) were used in a replicated 4×4 Latin square design experiment. Each period consisted of 21 d, with 14 d for dietary adaptation followed by 7 d for sampling. The four diets were formulated to consist of about 185 g FNDF/kg dietary dry matter (DM) from corn silage and beet pellets, and 65 g FNDF/kg dietary DM from AH, OH, LC, or RS, equivalent to 250 g FNDF/kg dietary DM in the diets. All the diets were isonitrogenous and isocaloric, and the level of NDF and NFC also were similar. Diets were mixed once daily and fed ad libitum three times daily at 06:30, 14:30, and 22:30 h and adjusted feed offered for 0.10 kg refusal. All of the cows were housed in a tie-stall barn and had free access to drinking water throughout the experiment. The ingredients and chemical composition of the diets are shown in Table 1.
Sampling collection and measurements
Feed intake was recorded daily throughout the experiment, but only measurements on d 15 to 19 are reported in the current paper. The concentrates and forages were sampled each week to determine the DM content. Samples of the total mixed ration (TMR) and orts were collected for 3 consecutive days on d 15, 16, and 17 of each period. Grab fecal samples (250 g per sampling) were collected from the rectum at 06:30, 14:30, and 22:30 h on d 17, 18, and 19 of each period. Samples were then pooled by treatment, period, and cow, and then the subsamples were used for chemical analysis. Samples were analyzed for DM and then dried at 65°C in an oven for 48 h. Dried feed samples were ground through a 1-mm screen in a Wiley Mill and stored at −20°C until analyzed for CP, ash, and ether extract (EE) according to the procedures of the Association of Official Analytical Chemists (AOAC, 1990). The NDF and acid detergent fiber (ADF) were analyzed by the method of Van Soest et al. (1991). NFC was calculated as 100−(CP+NDF+EE+Ash). Calcium (Ca) and phosphorus (P) were measured by inductively coupled plasma emission spectroscopy (AOAC, 1990). Total tract apparent digestibility of DM, organic matter (OM), CP, NDF, and ADF was estimated using acid insoluble ash as an intrinsic marker.
Milk production was recorded daily during the 7 d data collection period. Cows were milked at 07:00, 15:00, and 23:00 h daily, on d 17, 18, and 19 of each experimental period, 50 mL milk samples were collected in a proportion of 4:3:3 from morning to evening milkings into plastic vials. Milk samples were then pooled daily based on milk yield and stored at 4°C for later analysis of the CP, fat, and lactose using a near infrared analyzer (Foss System 4000, Foss Electric, Hillerød, Denmark) according to AOAC (1990).
On d 19 and 20 of each period, ruminal fluid samples were aspirated with an esophageal tube and a pump approximately 4 h after the morning feeding. After discarding the initial draw of 150 mL to minimize the contamination of saliva, the pH of the fluid was immediately measured using a Model 265A portable pH meter. Five milliliters of fluid were mixed with chilled 25% meta-phosphoric acid (H2PO4) for volatile fatty acid (VFA) analysis, 2 mL was mixed with 0.5 M HCL for ammonia-N (NH3-N) determination. Ruminal fluid samples were centrifuged at 15,000×g for 20 min at 4°C. NH3-N content of ruminal samples were determined by Chaney and Marbach (1962) modified to use a microtiter plate reader. Rumen VFA were separated and quantified by HPLC (Samuel et al., 1997).
Urine samples (about 100 mL were collected by spot sampling at approximately 6 and 12 h after feeding on d 17, 18, and 19 of each period. The daily urine samples were acidified by diluting 20 mL of urine with 80 mL of 0.036 M H2SO4 and stored at −20°C until analyzed. Urine samples were later thawed, composited to one sample per period per cow, and analyzed for allantoin, uric acid, and creatinine. Concentrations of allantoin and uric acid in urine were determined using the method described by Chen and Gomes (1995). Creatinine concentration in urine was determined using a commercial kit (Sigma no. 555; Sigma Chemical Co., St. Louis, MO, USA). The purine derivatives allantoin and uric acid were used as an estimate of MCP synthesis to the duodenum, and daily urine volume and excretion of purine derivatives (PD; allantoin plus uric acid) were estimated from mean urinary concentrations assuming a creatinine excretion rate of 29 mg/kg of BW (Valadares et al., 1999).
On d 21 of each period, blood samples (5 mL) were collected 4 h after the morning feeding from each cow via jugular venipuncture into heparinized tubes. Plasma was prepared immediately after collection by centrifugation of blood at 3,000×g for 15 min and then stored at −20°C until further analysis. Plasma urea-N (PUN) and glucose were determined using an Olympus AU 640 Chemistry Analyzer (Olympus, Tokyo, Japan).
Statistical analysis
The data were analyzed as a replicated 4×4 Latin square using the PROC MIXED procedure of SAS (SAS Institute, 2000) using the following model: Yijkl = μ+Si+Pj(i)+Ck(i)+Tl+ɛijkl, where Yijkl = represents of observation from animals, μ = overall mean, Si = fixed effect of square i, Pj(i) = fixed effect of period j (within square i), Ck(i) = random effect of cow k (within square i), Tl = fixed effect of treatment l, and ɛijkl = random residual error. All reported values are least squares means, which were separated using the PDIFF option in SAS. A statistically significant difference was defined at p<0.05.
RESULTS
The ingredient composition and chemical analysis of experimental TMR are presented in Table 1. Dietary NDF, FNDF, and NFC contents were (mean±SE) 35.62±0.23, 24.98±0.05, and 35.47±0.14% (DM basis) respectively, the four diets were also isonitrogenous and isocaloric. The ADF content of the RS diet was numerically higher than that of AH, OH, and LC diets (Table 1).
Daily DMI was similar (p>0.05) among the treatments, with an average of 19.00 kg/d. Milk yield was higher for AH diet than for RS diet but it was not significant (p>0.05). Milk fat, milk protein, and lactose contents were similar among the four diets (p>0.05). Because of the numerical differences in milk yield, milk fat, and milk protein concentrations, the 4% fat-collected milk (FCM) and energy-corrected milk (ECM) output were similar among the diets. Cows fed RS diet had a greater concentration of PUN than those fed AH, OH, and LC diets, but not differing from each other (p>0.05) (Table 2).
Concentrations of mean ruminal pH, NH3-N, total VFA, and individual acids were similar among the four diets (Table 3). Cows fed RS diet had a lower proportion of acetate and higher proportion of propionate, but it was not significant (p>0.05). Total tract digestibility of DM, OM, and CP was not affected by dietary sources of forage fiber (Table 4), but total tract NDF and ADF digestibilities were higher in cows fed RS diet compared with those fed AH diet (p<0.05). Urinary purine derivative excretion and MCP production estimates are shown in Table 5. Daily excretion of the purine derivative uric acid was not affected by any of the dietary treatments (p>0.05), but excretion of allantoin was higher for cows fed AH compared with those fed RS (p<0.05), and intermediate in cows fed OH and LC. Total excretion of purine derivatives were higher for AH, OH, and LC diets than for RS diet, and consequently, the calculated intestinal flow of MCP decreased from 1,823 to 1,699 g/d when cows were fed AH compared with those fed RS.
DISCUSSION
It is well accepted in the literature that the main factor restricting voluntary DMI by lactating cows is dietary NDF content (Adin et al., 2009), and when forages are the main or sole source of NDF, the contents of DMI and NDF are correlated negatively with each other (Ranathunga et al., 2010). Rode et al. (1985) reported that DMI was also affected by long forage but not by chopped or ground forage in diets of dairy cows. The DMI (averaged 19.00 kg/d) did not differ among the four diets. In our study, the forages used were chopped at 3 to 5 cm and concentrations of NDF were similar among the diets, which can explain the present results. In addition, there was no difference in milk yield for cows fed diets containing AH, OH, LC, and RS as the main source of forage fiber. In some previous studies, the increased DMI was the primary reason for increased milk production (Yan et al., 2011), and the lack of difference in DMI may be due to the similar milk yield among the treatments (averaging 24.39 kg/d). Gencoglu et al. (2007) observed that DMI, 4% FCM, and milk yield were similar in cows fed wheat straw compared to chopped alfalfa hay in the diets. Eastridge et al. (2009) reported similar milk fat and milk protein contents in cows fed AH, grass hay, wheat straw, and whole cottonseed in corn silage based diets. In contrast, Zhu et al. (2013) discovered no differences in milk fat contents in cows fed corn silage, LC, and AH diets; however, milk protein was the highest in cows fed AH compared with those fed corn silage or LC. Some studies reported that the raised intake of FNDF increased milk fat content and decreased milk protein content (Kononoff and Heinrichs, 2003). Because the CP, FNDF, and NFC concentrations were similar in the current study, proportions and yields of milk fat, milk protein, 4% FCM, and ECM were not affected by the treatments.
The provision of forage fiber in the diet is an important factor for maintaining ruminal health, dietary NFC content, and fermentability. These factors are important in determining rumen pH, but forage physical form (physically effective NDF) exerts the dominant control over pH (Haddad and Grant, 2000), and the NRC recommends at least 75% NDF in the dietary DM should be supplied by forages. In our study, the diets were formulated to have similar concentrations of FNDF and NFC, and this might explain why the ruminal pH and total VFA concentrations were unaffected by the dietary treatments; in addition, the lack of the influence of diet on VFA may also mean that rumen pH is not likely to be affected as well. These results are consistent with Eastridge et al. (2009) who reported that the rumen fermentation characteristics were not affected by the forage sources. The lack of differences in proportions of acetate and propionate may be due to the similar concentrations of NDF and starch content (Owens et al., 2009). In agreement with the literature reported by Eastridge et al. (2009) and Gencoglu and Turkmen (2006), the concentrations of isobutyrate, isovalerate, and valerate were similar among the diets, which might be due to the similar degradation of protein because branched-chain VFA are derived primarily from dietary proteins (Berthiaume et al., 2010).
In our study, treatments had no effect on the total tract DM and OM digestibilities, but fiber digestibility can be increased when cows are fed a RS diet. However, increasing levels of concentrate in the diet of ruminants usually results in increased total DM and OM digestibilities (Ramos et al., 2009). However, fiber digestibility can be reduced, especially when cows are fed grain-based concentrate (Carro et al., 2000). Ruminal digestibility of OM, NDF, and ADF was decreased by increasing the proportion of concentrate, but no differences between forages were detected (Ramos et al., 2009). Forage:concentrate ratio and concentrate mixtures are similar among these four diets, which may have contributed to our previously reported results. In addition, our digestibility results reflect those in Eastridge (Eastridge et al., 2009), where total tract OM digestibility was similar for a diet fed to lactating cows with 357 g/kg corn silage plus 117 g/kg AH, 70.2 g/kg grass hay, or 52.2 g/kg RS, respectively; the ADF and NDF digestibilities were higher for cows fed RS compared to those fed AH. The slow rate of degradation may have increased its residence time in the rumen compared to the AH and grass hay, which may have contributed to the higher total tract digestibility of fiber for RS diet.
Maximal MCP yield depends on the synchronous availability of N and energy within the rumen (Moscardini et al., 1998), therefore, the reduced flows of MCP for RS diet compared with other treatments suggested a decreased potential to provide adequate amounts of energy for the synthesis of MCP, though the NFC contents were similar among the four diets. In our study, the forage:concentrate ratio and OM digestibility were not affected by the treatments, and they are the predominant factors contributing to the MCP yield (Khorasani et al., 2001). In addition, the concentrations of NH3-N, urine output, and BUN tended to increase with RS diet compared with AH diet. These findings are consistent with Zhu et al. (2013) who reported that the reduced urinary N and BUN in the cows fed AH indicated reduced N losses and improved ammonia utilization, which resulted in higher MCP yield for AH diet than those fed grass hay or straw diets. However, the MCP yield in RS diet (1,699 g/d) was sufficient for latcation dairy cows as the passage of MCP to the small intestine averaged 1,656 g/d (Clark et al., 1992), and the value was also agreement with Zhu et al. (2013) who reported the MCP yields ranged from 1,601 to 1,876 g/d in early lactating dairy cows.
CONCLUSIONS
This study demonstrates that AH, OH, LC, and RS can be added on the corn silage based diets for the midlactation dairy cows, and forage sources have no effect on the DMI, rumen fermentation characteristics, and milk performance. Although MCP production was lower for cows fed a diet containing low-quality forage such as RS than for those fed AH, OH, or LC diets, there was no significant difference in the yield of milk protein. Feeding these diets with equivalent concentrations of FNDF from AH, OH, LC, and RS, while maintaining similar concentrations of NFC content, would result in similar ruminal fermentation and animal performance by dairy cows. Consequently, we can consider choosing different forages as fiber sources if the nutrient compositions are well balanced in the diets.
ACKNOWLEDGMENTS
This work was supported by colleges and universities in Jiangsu Province plans to graduate research and innovation (CXLX12_0933) and national “Twelfth Five-Year” Science and Technology supporting plan (2011BAD17B03).