Advertisement
Research Article| Volume 98, ISSUE 1, P486-499, January 2015

Download started.

Ok

Effects of dietary starch content and rate of fermentation on methane production in lactating dairy cows

Open ArchivePublished:November 07, 2014DOI:https://doi.org/10.3168/jds.2014-8427

      Abstract

      The objective of this study was to investigate the effects of starch varying in rate of fermentation and level of inclusion in the diet in exchange for fiber on methane (CH4) production of dairy cows. Forty Holstein-Friesian lactating dairy cows of which 16 were rumen cannulated were grouped in 10 blocks of 4 cows each. Cows received diets consisting of 60% grass silage and 40% concentrate (dry matter basis). Cows within block were randomly assigned to 1 of 4 different diets composed of concentrates that varied in rate of starch fermentation [slowly (S) vs. rapidly (R) rumen fermentable; native vs. gelatinized corn grain] and level of starch (low vs. high; 270 vs. 530 g/kg of concentrate dry matter). Results of rumen in situ incubations confirmed that the fractional rate of degradation of starch was higher for R than S starch. Effective rumen degradability of organic matter was higher for high than low starch and also higher for R than S starch. Increased level of starch, but not starch fermentability, decreased dry matter intake and daily CH4 production. Milk yield (mean 24.0 ± 1.02 kg/d), milk fat content (mean 5.05 ± 0.16%), and milk protein content (mean 3.64 ± 0.05%) did not differ between diets. Methane expressed per kilogram of fat- and protein-corrected milk, per kilogram of dry matter intake, or as a fraction of gross energy intake did not differ between diets. Methane expressed per kilogram of estimated rumen-fermentable organic matter (eRFOM) was higher for S than R starch–based diets (47.4 vs. 42.6 g/kg of eRFOM) and for low than high starch–based diets (46.9 vs. 43.1 g/kg of eRFOM). Apparent total-tract digestibility of neutral detergent fiber and crude protein were not affected by diets, but starch digestibility was higher for diets based on R starch (97.2%) compared with S starch (95.5%). Both total volatile fatty acid concentration (109.2 vs. 97.5 mM) and propionate proportion (16.5 vs. 15.8 mol/100 mol) were higher for R starch– compared with S starch–based diets but unaffected by the level of starch. Total N excretion in feces plus urine and N retained were unaffected by dietary treatments, and similarly energy intake and output of energy in milk expressed per unit of metabolic body weight were not affected by treatments. In conclusion, an increased rate of starch fermentation and increased level of starch in the diet of dairy cattle reduced CH4 produced per unit of eRFOM but did not affect CH4 production per unit of feed dry matter intake or per unit of milk produced.

      Key words

      Introduction

      Starch is a major source of glucogenic energy for high-yielding dairy cows and a source of fermentable energy for rumen microorganisms (
      • Koenig K.M.
      • Beauchemin K.A.
      • Rode L.M.
      Effect of grain processing and silage on microbial protein synthesis and nutrient digestibility in beef cattle fed barley-based diets.
      ). In addition to carbon dioxide, microbial matter, and VFA production, fermentation of feeds in the rumen results in release of hydrogen, which is used by methanogenic archaea to reduce carbon dioxide and produce methane, a potent greenhouse gas that has 25 times more global-warming potential than carbon dioxide (
      IPCC (Intergovernmental Panel on Climate Change)
      ). The production of methane (CH4) is influenced by dietary factors, such as type and amount of feed, and various dietary strategies have been suggested to reduce enteric CH4 production (
      • Hristov A.N.
      • Oh J.
      • Firkins J.L.
      • Dijkstra J.
      • Kebreab E.
      • Waghorn G.
      • Makkar H.P.S.
      • Adesogan A.T.
      • Yang W.
      • Lee C.
      • Gerber P.J.
      • Henderson B.
      • Tricarico J.M.
      Mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options.
      ;
      • Knapp J.R.
      • Laur G.L.
      • Vadas P.A.
      • Weiss W.P.
      • Tricarico J.M.
      Invited review: Enteric methane in dairy cattle production: Quantifying the opportunities and impact of reducing emissions.
      ). Compared with dietary fiber, starch fermentation in the rumen may result in reduced enteric CH4 production because fermentation of starch favors production of propionate (
      • Bannink A.
      • Kogut J.
      • Dijkstra J.
      • France J.
      • Kebreab E.
      • Van Vuuren A.M.
      • Tamminga S.
      Estimation of the stoichiometry of volatile fatty acid production in the rumen of lactating cows.
      ), creating an alternative hydrogen sink to methanogenesis. Moreover, unlike fiber and sugar, a substantial fraction of potentially fermentable starch may escape from rumen fermentation to be digested enzymatically in the small intestine, adding to the energy supply of the animal without associated losses of energy with CH4 production (
      • Dijkstra J.
      • Oenema O.
      • Bannink A.
      Dietary strategies to reducing N excretion from cattle: Implications for methane emissions.
      ).
      The use of starch versus fiber as well as increasing dietary starch content in the concentrate are potential options to reduce ruminal CH4 production, relative to total energy supply to the animal (
      • Hristov A.N.
      • Oh J.
      • Firkins J.L.
      • Dijkstra J.
      • Kebreab E.
      • Waghorn G.
      • Makkar H.P.S.
      • Adesogan A.T.
      • Yang W.
      • Lee C.
      • Gerber P.J.
      • Henderson B.
      • Tricarico J.M.
      Mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options.
      ). Using a modeling approach,
      • Benchaar C.
      • Pomar C.
      • Chiquette J.
      Evaluation of dietary strategies to reduce methane production in ruminants: A modelling approach.
      estimated that the use of less ruminally fermentable starch and replacing fibrous concentrate with starchy concentrate reduces CH4 emissions by 17 and 22% in ruminants, respectively. Compared with rapidly fermentable starch sources such as barley or wheat, the use of a slowly fermentable starch such as corn may result in a reduction of CH4 production (
      • Mills J.A.N.
      • France J.
      • Dijkstra J.
      A review of starch digestion in the lactating dairy cow and proposals for a mechanistic model: 2. Postruminal starch digestion and small intestinal glucose absorption.
      ,
      • Mills J.A.N.
      • Dijkstra J.
      • Bannink A.
      • Cammell S.B.
      • Kebreab E.
      • France J.
      A mechanistic model of whole-tract digestion and methanogenesis in the lactating dairy cow: Model development, evaluation, and application.
      ), mainly attributed to a shift in starch digestion from the rumen to the small intestine. Similarly, the substitution of sugar in the concentrate with a rapidly fermentable starch source such as barley or wheat was estimated to reduce CH4 production in ruminants (
      • Mills J.A.N.
      • Dijkstra J.
      • Bannink A.
      • Cammell S.B.
      • Kebreab E.
      • France J.
      A mechanistic model of whole-tract digestion and methanogenesis in the lactating dairy cow: Model development, evaluation, and application.
      ), due to lower ratio of acetate and butyrate to propionate production from starch fermentation (
      • Benchaar C.
      • Pomar C.
      • Chiquette J.
      Evaluation of dietary strategies to reduce methane production in ruminants: A modelling approach.
      ;
      • Mills J.A.N.
      • Dijkstra J.
      • Bannink A.
      • Cammell S.B.
      • Kebreab E.
      • France J.
      A mechanistic model of whole-tract digestion and methanogenesis in the lactating dairy cow: Model development, evaluation, and application.
      ) and the subsequent increase in ME supply to the dairy cow (
      • Mills J.A.N.
      • Dijkstra J.
      • Bannink A.
      • Cammell S.B.
      • Kebreab E.
      • France J.
      A mechanistic model of whole-tract digestion and methanogenesis in the lactating dairy cow: Model development, evaluation, and application.
      ). However, increasing the amount of rapidly fermentable starch in the diet at the expense of forage fiber can increase the production of VFA beyond the buffering and absorptive capacity of the rumen, leading to a decreased ruminal pH that has negative consequences on fiber degradation and production of dairy cows (
      • Dijkstra J.
      • Ellis J.L.
      • Kebreab E.
      • Strathe A.B.
      • Lopez S.
      • France J.
      • Bannink A.
      Ruminal pH regulation and nutritional consequences of low pH.
      ). Moreover, the level of abatement of enteric CH4 production achievable in dairy cattle with grass silage–based diets in which sources and levels of starch in the concentrate vary is largely lacking.
      The objective of this study was to evaluate the effects of starch varying in rate of fermentation and in level of inclusion in concentrate that accounted for 40% of the TMR DM on CH4 production of dairy cows. We hypothesized that increasing the inclusion of ruminally fermentable starch in the diet at the expense of fiber enhances propionate production, and that decreasing rate of fermentation of the starch in the rumen shifts starch digestion from the rumen to the small intestine, both expected to decrease CH4 production expressed per unit of feed or milk.

      Materials and Methods

      This experiment was conducted as a complete randomized block design at the animal research facility of Wageningen University (Wageningen, the Netherlands). All experimental procedures were approved by the Institutional Animal Care and Use Committee of Wageningen University and carried out under the Dutch Law on Animal Experimentation.

      Cows, Experimental Design, and Diets

      Forty multiparous lactating Holstein-Friesian dairy cows were selected and grouped in 10 blocks based on parity (2.9 ± 1.1; mean ± SD), DIM (215 ± 89 d), fat- and protein-corrected milk (FPCM; 35.9 ± 9.5 kg/d) at the start of the experiment, and presence or absence of rumen cannula. Sixteen cows were rumen cannulated and used to evaluate the effects of dietary treatments on rumen fermentation characteristics (pH and VFA concentration). Cows within a block were randomly assigned to 1 of 4 dietary treatments. Treatments were 1) 270 g of slowly fermentable starch per kilogram of concentrate DM, 2) 530 g of slowly fermentable starch per kilogram of concentrate DM, 3) 270 g of rapidly fermentable starch per kilogram of concentrate DM, and 4) 530 g of rapidly fermentable starch per kilogram of concentrate DM. Cows were fed a total mixed diet composed of grass silage and concentrate mixed at a 60:40 ratio (DM basis). Diets were offered individually and in equal portions during a.m. and p.m. (0600 and 1600 h) feedings. The concentrates were in meal form and mixed with the forage portion manually when fed.
      The primary starch sources in the concentrate were native corn grain, which is slowly fermentable (S), and gelatinized corn grain, which is rapidly fermentable (R), and each source was included at 2 levels: a low (L, 270 g of starch/kg of concentrate DM) and a high (H, 530 g of starch/kg of concentrate DM) level. Increasing the level of starch in concentrate was achieved by exchanging either ground native corn grain or ground gelatinized corn grain with beet pulp and palm kernel expeller on DM basis. The ingredient composition of the concentrates is shown in Table 1. Both native and gelatinized corn grain were obtained from a single batch of corn. These 2 starch sources were chosen to create a large difference in rate of starch fermentation.
      Table 1Ingredients and nutrient composition (g/kg of DM, unless otherwise stated) of concentrates fed during the experiment
      ItemSlowly fermentableRapidly fermentable
      Low levelHigh levelLow levelHigh level
      Ingredient
       Native corn grain412.9816.1
       Gelatinized corn grain412.9816.1
       Palm kernel expeller266.8119.8266.8119.8
       Beet pulp (low sugar)282.7282.7
       Soybean meal18.718.7
       Soybean meal, formaldehyde treated13.513.5
       Urea13.523.413.523.4
       Limestone0.914.00.914.0
       Magnesium oxide5.05.0
       Salt3.13.73.13.7
       Sodium bicarbonate2.52.5
       Vitamin-mineral premix
      Contained per kilogram of premix: 4,000,000IU of vitamin A; 833,000IU of vitamin D; 10,000mg of vitamin E; 10,000mg of Cu; 23,333mg of Zn; 18,467mg of Mn; 500mg of Co; 667mg of I, and 200mg of Se.
      1.51.51.51.5
      Nutrient composition
       DM (g/kg of product as fed)884889887882
       Ash54504748
       CP169170167186
       NDF311170308153
       ADF1879018180
       ADL41214123
       Crude fat43344741
       Starch275518303542
       Sugar36223322
       Gross energy (MJ/kg of DM)18.518.418.718.3
      1 Contained per kilogram of premix: 4,000,000 IU of vitamin A; 833,000 IU of vitamin D; 10,000 mg of vitamin E; 10,000 mg of Cu; 23,333 mg of Zn; 18,467 mg of Mn; 500 mg of Co; 667 mg of I, and 200 mg of Se.
      The experiment was conducted in 10 successive periods of 17 d each. In each period cows were individually housed in tie-stalls for 12 d as an adaptation period and to determine individual daily feed intake. Diets were supplied ad libitum for the first 8 d in the tie-stalls (approximately at 110% of expected voluntary intake). From d 9 to 17, feed intake was restricted per block to 95% of the ad libitum feed intake of the animal consuming the lowest amount of feed during d 3 to 8 within a block to avoid the potential confounding effect of feed intake level on CH4 measurements. After the end of the adaptation period, cows were housed for 5 d in 1 of the 2 identical climate-controlled respiration chambers for the measurement of CH4 production. In addition, digestibility measurements and a complete N and energy balance were performed. Because 2 chambers were available, measurements were obtained in 10 periods, staggered in time in an incomplete randomized block design, as described previously by
      • Van Zijderveld S.M.
      • Dijkstra J.
      • Perdok H.B.
      • Newbold J.R.
      • Gerrits W.J.J.
      Dietary inclusion of diallyl disulfide, yucca powder, calcium fumarate, an extruded linseed product, or medium-chain fatty acids does not affect methane production in lactating dairy cows.
      . Within each period, 2 cows receiving the same treatment were housed in one chamber, and 2 cows receiving a different treatment were housed in the other chamber. Within each chamber, the 2 cows originated from different blocks and each dietary treatment was not paired with the other dietary treatments in equal number of periods. The experimental unit for data measured in the respiration chambers (in particular gaseous exchange, N and energy balance parameters) therefore consisted of a pair of cows. The respiration chambers have been described in detail by
      • Verstegen M.W.A.
      • Van der Hel W.
      • Brandsma H.A.
      • Henken A.M.
      • Bransen A.M.
      The Wageningen respiration unit for animal production research: A description of the equipment and its possibilities.
      and
      • Van Zijderveld S.M.
      • Fonken B.
      • Dijkstra J.
      • Gerrits W.J.J.
      • Perdok H.B.
      • Fokkink W.
      • Newbold J.R.
      Effects of a combination of feed additives on methane production, diet digestibility, and animal performance in lactating dairy cows.
      . Cows had free access to drinking water throughout the experiment.

      Ruminal pH and Concentration of VFA

      On d 10 and 11 of each experimental period, equal volumes of rumen fluid from rumen-cannulated cows were collected to determine rumen pH and VFA concentration. Rumen fluid for each cow was collected from the front ventral, middle ventral, and cranial dorsal sac of the rumen (
      • Abrahamse P.A.
      • Vlaeminck B.
      • Tamminga S.
      • Dijkstra J.
      The effect of silage and concentrate type on intake behavior, rumen function, and milk production in dairy cows in early and late lactation.
      ) at 0 (just before the 0600 h feeding), 1, 2, 3, 4, 6, and 8 h after a.m. feeding. Rumen fluid was collected by suction method using a solid plastic tube (0.85 m long and 2.5 cm in diameter) perforated at the end. Ruminal pH was determined immediately after sampling using a portable pH meter (Hanna Instruments Model HI 9024, IJsselstein, the Netherlands). A subsample (0.75 mL) of ruminal fluid was mixed with an equal volume of meta-phosphoric acid and immediately stored at −20°C pending VFA analysis.

      Feed Intake, Nutrients Digestibility, Nitrogen and Energy Balance

      Samples of grass silage and concentrates were collected when feeds were prepared. During the CH4 measurement period, orts (when present) were weighed daily and stored at 4°C. At the end of each period, daily orts were composited per cow and mixed and a subsample was retained and stored at −20°C. Apparent total-tract digestibility of nutrients was determined using chromium oxide (Cr2O3) as an external marker included in the concentrate. The marker (1.5 g of Cr2O3/kg of concentrate DM) was supplied for each cow starting on d 1 of the experimental period. During the CH4 measurement period grab samples of feces (ca. 300 g) were collected daily during milking and stored at −20°C. Prior to freeze drying, the samples were pooled per cow and mixed and a subsample was taken.
      The BW of cows was taken on the first (d 13) and the last day (d 17) of the measurement period. The animals in the chamber were tethered in individual stalls complete with slatted floor fitted for collection of the manure (mixture of feces and urine). For complete N-balance determination, the manure produced by the 2 cows in a chamber during the 5-d period was quantitatively collected, weighed, mixed thoroughly, subsampled, and stored at −20°C pending analysis. Also, N volatilized in the form of ammonia that may result from mixing of feces and urine was obtained from samples of condensed water (i.e., collected from the heat exchanger) and 25% sulfuric acid solution wt/wt (i.e., through which the outflowing air was led to trap aerial ammonia) of each chamber.

      Milk Yield and Milk Composition

      Cows were milked twice daily (0600 and 1600 h), and milk yield was recorded during the 5 d of CH4 measurement period. During each milking samples were collected in duplicate. Morning and afternoon samples were collected separately into tubes containing sodium azide and stored no longer than 4 d at +4°C pending fat-, CP-, and lactose-contents analysis and determination of SCC concentration. The second sample was pooled per cow based on a weight basis proportional to milk yield (5 g/kg of milk) and stored at −20°C until analysis for urea, energy, and N content.

      In Situ Rumen Degradation of Diets

      Ruminal degradability of starch, OM, and N in concentrate was determined in a separate experiment using 3 rumen-cannulated lactating Holstein-Friesian dairy cows. The cows were 387.0 ± 7.8 DIM and producing 22.8 ± 3.9 kg/d of milk. Cows were fed ad libitum a mixed ration of 50% grass silage (CP, 104 g/kg of DM; NDF, 516 g/kg of DM) and 50% maize silage (CP, 72 g/kg of DM; NDF, 397 g/kg of DM, starch, 374 g/kg of DM) and a commercial concentrate (160 g/kg of DM starch, 200 g/kg of DM CP, 38 g/kg of DM crude fat, and 80 g/kg of DM ash) according to milk production up to a maximum of 8 kg/d. Only concentrate samples were incubated in the rumen. The effective rumen degradability (ED) of OM in the grass silage was estimated by near infrared spectroscopy analysis (BLGG AgroXpertus, Wageningen, the Netherlands). Nylon bags were prepared according to the Dutch in situ protocol (
      • Tas B.M.
      • Taweel H.Z.
      • Smit H.J.
      • Elgersma A.
      • Dijkstra J.
      • Tamminga S.
      Rumen degradation characteristics of perennial ryegrass cultivars during the growing season.
      ). Briefly, nylon bags with an inner size of 10 × 8 cm, a pore size of 40 μm, and porosity of 0.30 (PA 40/30, Nybolt, Switzerland) were filled with approximately 5 g (DM basis) of concentrate ground to pass a 3-mm sieve. Three bags per incubation time for each concentrate were incubated for 2, 4, 6, 8, 12, 24, and 48 h in the rumen of each cow using the all-in, all-out procedure. After incubation, bags were immediately placed in ice water for approximately 5 min to stop fermentation, and rinsed with tap water. The bags were then washed in a washing machine (AEG Turnamat SL, Nuremberg, Germany) for 40 min in cold water (gentle wool-wash program without centrifuging) and freeze-dried. Dried samples were weighed, pooled to one sample per incubation time per cow; ground through a 1-mm sieve (Peppink 100AN, Olst, the Netherlands); and analyzed for DM, ash, N, and starch.
      To determine the rumen degradation characteristics of OM, N, and starch in the concentrates, residues per incubation time per cow were fitted to a first-order nonlinear model: Y(t)=U+D×e-kd×t where Y(t) = proportion of total residue present at time t (g/kg); U= the truly undegradable fraction (g/kg; for OM and N only); D = the potentially degradable fraction (g/kg); t = time of incubation (h); and kd = the fractional rate of degradation of the D fraction (per hour). The NLIN procedure of SAS (

      SAS Institute Inc. 2010. Statistical Analysis Software. SAS/STAT 9.3 User’s Guide. SAS Inst. Inc., Cary, NC.

      ) was used to estimate the parameter values, with D, U, and kd constrained to be positive. The ED of starch, OM, and N in the concentrates was calculated as described by
      • Ørskov E.R.
      • McDonald I.
      Estimation of protein degradation in the rumen from incubation measurements weighted according to rate of passage.
      using the formula ED = W + (D × kd)/(kd + kp) and assuming a fractional ruminal outflow rate (kp) of 0.06 per hour for concentrates (
      • Tamminga S.
      • Van Straalen W.M.
      • Subnel A.P.J.
      • Meijer R.G.M.
      • Steg A.
      • Wever C.J.G.
      • Blok M.C.
      The Dutch protein evaluation system—The DVE/OEB-system.
      ). The washout (W) fraction (g/kg), which is assumed to be rapidly degradable, was calculated as 1,000 − DU. The estimated rumen-fermentable OM (eRFOM) in the total mixed diets was calculated using the ED of OM of concentrates obtained from the rumen incubations and the estimated ED of OM of grass silage, by taking into account the OM content of grass silage and each concentrate, and the proportion of these diet ingredients.

      Analytical Procedures

      All samples of feeds, orts, feces, and manure were freeze-dried and ground to pass through a 1-mm sieve using a Wiley mill (Peppink 100AN) before analysis, except for N analysis in manure and NH3-N analysis in the silage for which fresh samples were used. Feed and feces samples were analyzed for DM (

      ISO 6496. 1999. Animal Feeding Stuffs. Determination of Moisture and Other Volatile Matter Content. Int. Org. Stand., Geneva, Switzerland.

      ), ash (

      ISO 5984. 2002. Animal Feeding Stuffs. Determination of Crude Ash. Int. Org. Stand., Geneva, Switzerland.

      ), N (

      ISO 5983. 2005. Animal Feeding Stuffs. Determination of Nitrogen Content and Calculation of Crude Protein Content—Kjeldahl Method. Int. Org. Stand., Geneva, Switzerland.

      ), crude fat (

      ISO 6492. 1999. Animal Feeding Stuffs. Determination of Fat Content. Int. Org. Stand., Geneva, Switzerland.

      ), starch (

      ISO 15914. 2004. Animal Feeding Stuffs. Enzymatic Determination of Total Starch Content. Int. Org. Stand., Geneva, Switzerland.

      ), and gross energy (GE;

      ISO 9831. 1998. Animal Feeding Stuffs, Animal Products, and Feces or Urine. Determination of Gross Caloric Value—Bomb Calorimetric Method. Int. Org. Stand., Geneva, Switzerland.

      ). Crude protein content was calculated as N × 6.25. Neutral detergent fiber was analyzed according to
      • Van Soest P.J.
      • Robertson J.B.
      • Lewis B.A.
      Methods for dietary fiber, neutral detergent fiber, and nonstructural polysaccharides in relation to animal nutrition.
      after pretreatment with amylase. Acid detergent fiber and ADL were determined according to
      • Van Soest P.J.
      Collaborative study of acid-detergent fiber and lignin.
      . Determination of sugar content in the feed was based on the method described by
      • Van Vuuren A.M.
      • Van der Koelen C.J.
      • Valk H.
      • De Visser H.
      Effects of partial replacement of ryegrass by low-protein feeds on rumen fermentation and nitrogen loss by dairy cows.
      . Concentrate and feces samples were analyzed for chromium using atomic absorption spectrophotometry (
      • Williams C.H.
      • Iismaa O.
      • David D.J.
      Determination of chromic oxide in feces samples by atomic absorption spectrophotometry.
      ). Milk protein, fat, and lactose contents and SCC concentration were determined according to

      ISO 9622. 1999. Whole Milk—Determination of Milk Fat, Protein and Lactose Content—Guidance on the Operation of Mid-infrared Instruments. Int. Org. Stand., Geneva, Switzerland.

      at VVB (VVB, Doetinchem, the Netherlands), and milk urea was determined using the pH difference technique (

      ISO 14637. 2004. Milk—Determination of Urea Content—Enzymatic Method Using Difference in pH. Int. Org. Stand., Geneva, Switzerland.

      ).
      For determination of the concentration of VFA, the frozen ruminal fluid samples were thawed and centrifuged at 10,000 × g for 10 min at 4°C. The supernatant was transferred to a gas-chromatography vial for analysis of VFA concentration using gas chromatography (Fisons HRGC MEGA2, CI instruments, Milan, Italy) according to the method described by
      • Taweel H.Z.
      • Tas B.M.
      • Smit H.J.
      • Elgersma A.
      • Dijkstra J.
      • Tamminga S.
      Effects of feeding perennial ryegrass with an elevated concentration of water soluble carbohydrates on intake, rumen function and performance of dairy cows.
      .

      Statistical Analysis

      In general, statistical analysis were carried out by ANOVA using the PROC MIXED procedure in SAS (

      SAS Institute Inc. 2010. Statistical Analysis Software. SAS/STAT 9.3 User’s Guide. SAS Inst. Inc., Cary, NC.

      ) using various models. The data for 2 cows fed on the diet consisting of 270 g of rapidly fermentable starch per kilogram of concentrate DM in one respiration chamber had to be excluded from all analysis because of malfunctioning of the chamber and unreliable data. Daily data were averaged per experimental unit per period before statistical analysis. Cow was considered as the experimental unit for all measurements except for CH4-production parameters and N and energy balance traits, for which a pair of cows housed in the same respiration chamber was considered to be the experimental unit. For CH4-production parameters and N and energy balance traits, the model included the fixed effects of respiration chamber, starch source, level of starch, and source × level interaction, and a random effect of period. Block was not included in the model, because the 2 cows housed within the same chamber originated from different blocks. For DMI, fecal digestibility, and milk characteristics the model included respiration chamber, block, starch source, level of starch, and source × level interaction as fixed effects, and period as a random factor. For all analysis, the fixed effect of respiration chamber was initially included in the model but was removed from the model because it was not significant. Because of unequal variances, the Kenward-Roger option was used to estimate the denominator degrees of freedom. Autoregressive 1, compound symmetry, and unstructured covariance structures were tested for each analysis. Depending on the characteristics of analysis, the covariance structure with the lowest Akaike’s information criterion was selected (
      • Littell R.C.
      • Henry P.R.
      • Ammerman C.B.
      Statistical analysis of repeated measures data using SAS procedures.
      ), which in most cases was the compound-symmetry covariance structure.
      Similarly, data for ruminal pH and VFA concentration were analyzed using the PROC MIXED procedure in SAS with block, starch source, level of starch, time, source × level, source × time, and level × time interactions as fixed effects and cow as a random effect using the repeated measures procedure with time as repeated measures. The relationship between measurements was assumed to be linear. The covariance structure was defined in the model as being spatial power for unequally spaced measurement times.
      Data on in situ rumen degradation of concentrates and diets were similarly analyzed using the PROC MIXED procedure in SAS with starch source, level of starch, and source × level interaction as fixed effects and cow as random effect.
      All results are reported as least squares means. Significance of effect was declared at P ≤ 0.05 and trends at 0.05 < P ≤ 0.10.

      Results

      Chemical Composition of Concentrates and Diets

      The chemical composition of concentrates, grass silage, and total mixed diets is presented in Table 1 and Table 2. The nutrient composition in the concentrates had slight differences, in particular in starch content. Starch content in concentrates with rapidly fermentable (R) starch had a 26 g/kg of DM higher starch content than concentrates with slowly fermentable (S) starch, resulting in an average 11 g/kg of DM higher starch content in total mixed diets containing R starch compared with S starch. The analyzed GE content of grass silage was somewhat higher than expected and higher than that of concentrates. Because the proportion of grass silage in the total diet did not differ between treatments, the high GE content of the silage did not affect differences between treatments.
      Table 2Analyzed chemical composition of grass silage and calculated chemical composition of total mixed diets (g/kg of DM, unless otherwise stated)
      ItemGrass silageTotal mixed diet
      Calculated based on analyzed chemical composition of grass silage and concentrate and mixed at a 60:40 ratio (on DM basis); SL=diet containing 270g of slowly fermentable starch per kilogram of concentrate DM; SH=diet containing 530g of slowly fermentable starch per kilogram of concentrate DM; RL=diet containing 270g of rapidly fermentable starch per kilogram of concentrate DM; RH=diet containing 530g of rapidly fermentable starch per kilogram of concentrate DM.
      SLSHRLRH
      DM (g/kg of product as fed)512664666663659
      Ash8874727172
      CP148156157156163
      NDF528441385440378
      ADF296252214250210
      ADL2029212921
      Crude fat3840364239
      StarchNA
      Not analyzed.
      110207121217
      Sugar7962566156
      Gross energy (MJ/kg of DM)19.118.818.818.918.7
      1 Calculated based on analyzed chemical composition of grass silage and concentrate and mixed at a 60:40 ratio (on DM basis); SL = diet containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = diet containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = diet containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = diet containing 530 g of rapidly fermentable starch per kilogram of concentrate DM.
      2 Not analyzed.

      In Situ Rumen-Degradation Characteristics

      Starch source affected all degradation characteristics of starch, N, and OM (Table 3). Concentrates composed of R starch had about 3 times higher (P < 0.001) kd of starch than concentrates based on S starch (average kd = 0.155/h vs. 0.054/h, respectively) and a much higher W fraction (average 315 vs. 64 g/kg, respectively; P < 0.001), leading to a 59% higher ED of starch. A significant interaction between source and level of starch indicated that the effect of source of starch on W, D, kd, and ED of starch was more pronounced with low starch levels than with high starch levels in the concentrate. The effects of starch resulted in a lower ED of OM and N for S starch- compared with R starch-based concentrates and a higher ED with H compared with L. These effects were less pronounced with L compared with H for ED of starch. The calculated eRFOM in a total mixed diet was lower for S starch than for R starch, and lower for L starch than for H starch (P < 0.001), but a significant interaction between source and level of starch indicated that the effects are not additive.
      Table 3In situ rumen degradation characteristics of the concentrates used in the experiment and estimated effective rumen degradability of OM in the total mixed diet
      ItemConcentrate
      SL=concentrate containing 270g of slowly fermentable starch per kilogram of concentrate DM; SH=concentrate containing 530g of slowly fermentable starch per kilogram of concentrate DM; RL=concentrate containing 270g of rapidly fermentable starch per kilogram of concentrate DM; RH=concentrate containing 530g of rapidly fermentable starch per kilogram of concentrate DM.
      SED
      SED=SE of the difference of means.
      P-value
      SLSHRLRHSource (S)Level (L)S × L
      Concentrate
       Starch
        W
      W=washable fraction (g/kg of respective nutrient).
      388934328621.2<0.0010.8610.011
        D
      D=potentially degradable fraction (g/kg of respective nutrient).
      96391165771421.2<0.0010.8610.011
        kd
      kd=fractional degradation rate (per hour) of potential degradable fraction.
      0.0540.0540.1730.1370.0104<0.0010.0370.039
        ED
      ED=effective rumen degradability (g/kg of respective nutrient).
      49552183078212.1<0.0010.2380.005
       Organic matter
        W1161671872248.7<0.001<0.0010.280
        D83181866762224.0<0.0010.1390.375
        U
      U=undegradable fraction (g/kg of respective nutrient) and estimated to be zero for starch and N.
      541514615421.7<0.0010.3510.175
        kd0.0430.0410.0780.1390.0066<0.0010.0010.001
        ED4595005646609.4<0.001<0.0010.005
       Nitrogen
        W29947136353612.30.001<0.0010.938
        D70152963746412.30.001<0.0010.938
        kd0.0250.0240.0250.0280.00390.0330.1970.049
        ED5046235526814.2<0.001<0.0010.135
      Total mixed diet
       eRFOM
      eRFOM=estimated rumen-fermentable OM in the total mixed diets (g/kg of OM) was calculated using the ED of OM of concentrates obtained from the rumen incubations and the estimated ED of OM in the grass silage estimated by near-infrared spectroscopy analysis.
      4945105365753.9<0.001<0.001<0.001
      1 SL = concentrate containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = concentrate containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = concentrate containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = concentrate containing 530 g of rapidly fermentable starch per kilogram of concentrate DM.
      2 SED = SE of the difference of means.
      3 W = washable fraction (g/kg of respective nutrient).
      4 D = potentially degradable fraction (g/kg of respective nutrient).
      5 kd = fractional degradation rate (per hour) of potential degradable fraction.
      6 ED = effective rumen degradability (g/kg of respective nutrient).
      7 U = undegradable fraction (g/kg of respective nutrient) and estimated to be zero for starch and N.
      8 eRFOM = estimated rumen-fermentable OM in the total mixed diets (g/kg of OM) was calculated using the ED of OM of concentrates obtained from the rumen incubations and the estimated ED of OM in the grass silage estimated by near-infrared spectroscopy analysis.

      Ruminal pH and Concentration of VFA

      The effects of source and level of starch in the diet on rumen pH, VFA concentration, and VFA molar proportions are presented in Table 4. Mean ruminal pH was not affected by either starch rate of fermentation or by level of starch in the diets, whereas total VFA concentration was higher for diets based on R starch than on S starch (109.2 vs. 97.5 mM, P = 0.002). Both source and level of starch in the diet did not affect VFA molar proportions, except for higher propionate proportions (P = 0.046) and a trend for lower isobutyrate proportions (P = 0.051) and acetate:propionate ratio (P = 0.054) with the R starch-based diets compared with the S starch-based diets. On average for all dietary treatments, the pH decreased from the prefeeding value of 6.73 to 6.41 and 6.33 at 3 and 4 h after a.m. feeding, respectively (Figure 1). Rumen total VFA concentrations (Figure 2) and acetate:propionate ratio (Figure 3) varied with time of sampling relative to a.m. feeding. The interactions between time and source or level of starch were not significant, except for rumen pH (P < 0.001).
      Table 4Rumen fluid pH and concentration of VFA of lactating dairy cows fed diets that differed in starch rate of fermentation and level of inclusion in concentrate
      ItemDiet
      n=4 for all diets except for RL for which n=3. SL=diet containing 270g of slowly fermentable starch per kilogram of concentrate DM; SH=diet containing 530g of slowly fermentable starch per kilogram of concentrate DM; RL=diet containing 270g of rapidly fermentable starch per kilogram of concentrate DM; RH=diet containing 530g of rapidly fermentable starch per kilogram of concentrate DM.
      SED
      SED=SE of the difference of means.
      P-value
      SLSHRLRHSource (S)Level (L)S × L
      Rumen pH6.536.496.516.530.0880.8720.8890.650
      Total VFA (mM)101.193.9110.9107.44.390.0020.1070.555
      VFA (mol/100 mol)
       Acetate (A)68.369.168.667.90.550.2720.8590.069
       Propionate (P)15.915.616.216.80.460.0460.6840.172
       Butyrate11.511.211.111.80.320.7910.3580.052
       Isobutyrate1.120.880.800.660.1850.0510.1640.691
       Valerate1.541.541.541.630.1060.5500.5800.520
       Isovalerate1.691.641.821.290.3110.6370.2150.281
      A:P4.314.454.274.060.1460.0540.7250.107
      1 n = 4 for all diets except for RL for which n = 3. SL = diet containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = diet containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = diet containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = diet containing 530 g of rapidly fermentable starch per kilogram of concentrate DM.
      2 SED = SE of the difference of means.
      Figure thumbnail gr1
      Figure 1Effects of source and level of starch in the diet of lactating dairy cows on rumen pH as a function of time after a.m. feeding. SL = diet containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = diet containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = diet containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = diet containing 530 g of rapidly fermentable starch per kilogram of concentrate DM. Effect of time (P < 0.001) and interactions of source of starch with time (P = 0.143) and level of starch with time (P = 0.027). Error bars represent the standard error of the difference.
      Figure thumbnail gr2
      Figure 2Effects of source and level of starch in the diet of lactating dairy cows on rumen total VFA concentration as a function of time after a.m. feeding. SL = diet containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = diet containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = diet containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = diet containing 530 g of rapidly fermentable starch per kilogram of concentrate DM. Effect of time (P < 0.001) and interactions of source of starch with time (P = 0.725) and level of starch with time (P = 0.592). Error bars represent the standard error of the difference.
      Figure thumbnail gr3
      Figure 3Effects of source and level of starch in the diet of lactating dairy cows on rumen acetate:propionate ratio as a function of time after a.m. feeding. SL = diet containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = diet containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = diet containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = diet containing 530 g of rapidly fermentable starch per kilogram of concentrate DM. Effect of time (P = 0.002) and interactions of source of starch with time (P = 0.928) and level of starch with time (P = 0.147).Error bars represent the standard error of the difference.

      Feed Intake and Nutrient Digestibility

      Dry matter intake and apparent total-tract nutrient digestibility are presented in Table 5. Dry matter intake was 0.8 kg/d lower with the high level of starch (P = 0.022) but was unaffected by source of starch in the diet. Dry matter intake in the chambers (mean 19.0 kg/d) did not differ from DMI during the last 3 d of the adaptation period in the tie-stalls (mean 18.9 kg/d). Apparent total-tract digestibility of NDF and CP was not affected by dietary treatments. However, for both DM and OM digestibility as well as for crude fat and GE digestibility, significant interactions existed between source and level of starch in the diet, showing a higher digestibility with increased starch level of R starch but a lower digestibility with increased starch level for S starch. Diets based on R starch had a 1.7% higher starch digestibility compared with S starch–based diets (P = 0.006). The level of starch in the diet had no effect on starch digestibility.
      Table 5Dry matter intake and apparent total-tract digestibility of nutrients in lactating dairy cows fed diets that differed in starch rate of fermentation and level of inclusion in concentrate
      ItemDiet
      n=10 for SL, SH, and RH, and n=8 for RL. SL=diet containing 270g of slowly fermentable starch per kilogram of concentrate DM; SH=diet containing 530g of slowly fermentable starch per kilogram of concentrate DM; RL=diet containing 270g of rapidly fermentable starch per kilogram of concentrate DM; RH=diet containing 530g of rapidly fermentable starch per kilogram of concentrate DM.
      SED
      SED=SE of the difference of means.
      P-value
      SLSHRLRHSource (S)Level (L)S × L
      DMI (kg/d)19.418.519.418.60.510.9700.0220.791
      Digestibility (%)
       DM72.969.767.272.71.820.3020.3770.002
       OM74.971.168.974.41.810.2990.5090.001
       CP63.063.059.064.32.020.3480.0740.074
       NDF72.871.069.969.52.050.1400.4560.631
       Crude fat63.956.461.364.72.210.0810.2030.002
       Starch95.695.496.797.60.010.0060.4910.237
       Gross energy69.567.565.669.81.750.5230.3810.019
      1 n = 10 for SL, SH, and RH, and n = 8 for RL. SL = diet containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = diet containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = diet containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = diet containing 530 g of rapidly fermentable starch per kilogram of concentrate DM.
      2 SED = SE of the difference of means.

      Milk Yield and Milk Composition

      Daily milk yield (average 24.0 kg/d) and content of fat (5.05%), protein (3.64%), lactose (4.53%), and milk urea (3.51 mmol/L) were not influenced by either source or level of starch in diet (Table 6). Similarly SCC concentration was not affected by either source or level of starch in the diet. The FPCM and milk fat yield showed a tendency (P = 0.092 and P = 0.077, respectively) to be higher for diets containing a low level of starch. Milk protein yield showed a tendency (P = 0.088) to be higher for cows fed diets based on R starch compared with S starch.
      Table 6Milk yield and milk composition of dairy cows fed diets that differed in starch rate of fermentation and level of inclusion in concentrate
      ItemDiet
      n=10 for SL, SH, and RH, and n=8 for RL. SL=diet containing 270g of slowly fermentable starch per kilogram of concentrate DM; SH=diet containing 530g of slowly fermentable starch per kilogram of concentrate DM; RL=diet containing 270g of rapidly fermentable starch per kilogram of concentrate DM; RH=diet containing 530g of rapidly fermentable starch per kilogram of concentrate DM.
      SED
      SED=SE of the difference of means.
      P-value
      SLSHRLRHSource (S)Level (L)S × L
      Milk yield (kg/d)24.522.524.424.71.340.2760.3900.238
      FPCM
      Fat- and protein-corrected milk=[0.337 + 0.116 × fat (%) + 0.06 × protein (%)] × milk yield (kg/d).
      (kg/d)
      27.925.227.126.91.170.6140.0920.146
      Milk composition
       Fat (%)5.245.114.974.880.3130.2710.6020.930
       Protein (%)3.613.583.683.680.1540.4280.8700.866
       Lactose (%)4.534.554.474.550.0650.4860.2360.486
       Milk urea (mmol/L)3.603.493.463.500.1850.6190.8090.587
       SCC × 1,000 (cells/mL)20316523719584.70.5970.5190.975
      Milk solids yield (kg/d)
       Fat1.251.111.171.150.0610.6430.0770.223
       Protein0.870.790.880.880.0390.0880.1550.202
       Lactose1.111.031.091.130.0630.3930.7100.203
      1 n = 10 for SL, SH, and RH, and n = 8 for RL. SL = diet containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = diet containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = diet containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = diet containing 530 g of rapidly fermentable starch per kilogram of concentrate DM.
      2 SED = SE of the difference of means.
      3 Fat- and protein-corrected milk = [0.337 + 0.116 × fat (%) + 0.06 × protein (%)] × milk yield (kg/d).

      Dietary Treatments and Methane Production

      Daily CH4 production was not affected by source of starch but was higher at low starch levels than at a high starch levels (432 vs. 399 g/d, respectively; P = 0.017; Table 7). Methane production per kilogram of milk, per kilogram of FPCM, per kilogram of DMI, per kilogram of digested DM, and as percentage of GE intake was not influenced by dietary treatments. However, CH4 expressed per kilogram of eRFOM was higher for diets based on S starch than R starch (47.4 vs. 42.6 g/kg of eRFOM, respectively; P < 0.001), and for diets based on L than H (46.9 vs. 43.1 g/kg of eRFOM, respectively; P = 0.002).
      Table 7Methane (CH4) production of lactating dairy cows fed diets that differed in starch rate of fermentation and level of inclusion in concentrate
      ItemDiet
      n=5 for SL, SH, and RH, and n=4 for RL. SL=diet containing 270g of slowly fermentable starch per kilogram of concentrate DM; SH=diet containing 530g of slowly fermentable starch per kilogram of concentrate DM; RL=diet containing 270g of rapidly fermentable starch per kilogram of concentrate DM; RH=diet containing 530g of rapidly fermentable starch per kilogram of concentrate DM.
      SED
      SED=SE of the difference of means.
      P-value
      SLSHRLRHSource (S)Level (L)S × L
      CH4 (g/d)43639742740116.30.8620.0170.606
      CH4 (g/kg of DMI)22.421.522.221.60.650.8520.1310.732
      CH4 (g/kg of milk)17.817.917.816.60.950.3460.3890.345
      CH4 (g/kg of FPCM
      FPCM=fat- and protein-corrected milk.
      )
      15.715.915.915.00.590.4500.4760.196
      CH4 (g/kg of digested DM)30.530.733.029.91.240.3390.1190.090
      CH4 (g/kg of eRFOM
      eRFOM=estimated rumen-fermentable OM.
      )
      49.145.644.640.51.31<0.0010.0020.770
      CH4 (% of gross energy intake)6.66.36.56.40.200.8980.1120.587
      1 n = 5 for SL, SH, and RH, and n = 4 for RL. SL = diet containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = diet containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = diet containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = diet containing 530 g of rapidly fermentable starch per kilogram of concentrate DM.
      2 SED = SE of the difference of means.
      3 FPCM = fat- and protein-corrected milk.
      4 eRFOM = estimated rumen-fermentable OM.

      Nitrogen and Energy Balance

      Nitrogen and energy balance data are presented in Table 8. Daily N intake was not affected by source and level of starch. Total N excretion in manure (feces and urine mixture) tended (P = 0.064) to be higher with diets based on R starch as compared with S starch. Diets based on R starch showed a tendency (P = 0.060) of higher secretion of N in milk as compared with diets based on S starch. There was a tendency (P = 0.088) of a lower secretion of N in milk for H compared with L in the diet. Nitrogen retention was not affected by level or source of starch in the diet. Also, no significant differences were observed for GE intake, ME intake, heat production, milk energy output, and total energy retention (all expressed per unit metabolic BW) between treatments.
      Table 8Nitrogen and energy balance in lactating dairy cows fed diets that differed in starch rate of fermentation and level of inclusion in concentrate
      ItemDiet
      n=5 for SL, SH, and RH, and n=4 for RL. SL=diet containing 270g of slowly fermentable starch per kilogram of concentrate DM; SH=diet containing 530g of slowly fermentable starch per kilogram of concentrate DM; RL=diet containing 270g of rapidly fermentable starch per kilogram of concentrate DM; RH=diet containing 530g of rapidly fermentable starch per kilogram of concentrate DM.
      SED
      SED=SE of the difference of means.
      P-value
      SLSHRLRHSource (S)Level (L)S × L
      Metabolic BW (kg of BW0.75)126.4124.6129.2123.94.150.7390.2470.554
      Gross energy intake (kJ/kg of BW0.75 per day)2,9082,8242,8172,841126.30.6870.7390.559
      ME intake
      ME intake=Gross energy intake − methane production − energy in manure.
      (kJ/kg of BW0.75 per day)
      1,7401,6561,6301,65379.70.3330.5960.360
      Methane production (kJ/kg of BW0.75 per day)1921781841817.90.6700.1400.360
      Heat production (kJ/kg of BW0.75 per day)96992796195023.10.6450.1330.366
      N intake (g/d)489.1474.6479.6484.014.930.9930.6430.389
      N in manure (g/d)322.7325.2341.7352.314.390.0640.4110.556
      N in milk (g/d)136.3123.8138.4137.15.230.0600.0880.159
      N retained
      N retained=N intake − N in manure − N in milk − N in condensate collected from heat exchanger − N trapped from the outflowing air.
      (g/d)
      25.521.0−6.4−10.926.750.1120.8151.000
      Energy in milk (kJ/kg of BW0.75 per day)69262565767832.70.7760.3900.072
      Energy retention total
      Energy retention total=ME intake − heat production − energy in milk.
      (kJ/kg of BW0.75 per day)
      80104122585.70.2430.7630.932
      Energy retention protein
      Energy retention protein=protein gain × 23.7kJ/g of protein.
      (kJ/kg of BW0.75 per day)
      2925−9−1431.80.1100.8380.990
      1 n = 5 for SL, SH, and RH, and n = 4 for RL. SL = diet containing 270 g of slowly fermentable starch per kilogram of concentrate DM; SH = diet containing 530 g of slowly fermentable starch per kilogram of concentrate DM; RL = diet containing 270 g of rapidly fermentable starch per kilogram of concentrate DM; RH = diet containing 530 g of rapidly fermentable starch per kilogram of concentrate DM.
      2 SED = SE of the difference of means.
      3 ME intake = Gross energy intake − methane production − energy in manure.
      4 N retained = N intake − N in manure − N in milk − N in condensate collected from heat exchanger − N trapped from the outflowing air.
      5 Energy retention total = ME intake − heat production − energy in milk.
      6 Energy retention protein = protein gain × 23.7 kJ/g of protein.

      Discussion

      This study investigated the effects of starch varying in rate of fermentation and level of inclusion in the diet in exchange for fiber on CH4 production in lactating dairy cows. Our hypothesis was that increasing the inclusion of ruminally fermentable starch in the diet at the expense of fiber would increase propionate in the rumen, and that decreasing rate of fermentation of starch would shift digestion from the rumen to the small intestine, both expected to decrease CH4 production expressed per unit of feed or milk. Rumen propionate molar proportion was higher with R starch (16.5 mol/100 mol) than with S starch (15.8 mol/100 mol), but level of starch did not influence rumen molar proportion of propionate. The in situ ruminal starch degradation rates of the 2 starch sources differed almost by a factor of 3 (0.054 vs. 0.155 per hour; S vs. R starch), and the estimated amount of rumen-degraded starch was 508 versus 806 g/kg of dietary starch for S versus R starch. The in situ characteristics were in agreement with our aim to select the starch sources that represent a wide range of starch fermentation rate. Methane expressed per unit of eRFOM was 10% lower for R than S starch and 8% lower for H- than L-based diets. However, CH4 production per kilogram of milk, per kilogram of FPCM, per kilogram of DMI, or as percentage of GE intake was not influenced by dietary treatments.

      Effects on Ruminal pH and Concentration of VFA

      In the current study, the contrast in starch content of the diet was achieved by replacement of fiber-rich beet pulp and palm kernel expeller with corn grain. Much of the nonfiber carbohydrate in beet pulp is pectin and has a tendency for a rumen fermentation profile with more acetate and butyrate (
      • Voelker J.A.
      • Allen M.S.
      Pelleted beet pulp substituted for high-moisture corn: 3. Effects on ruminal fermentation, pH, and microbial protein efficiency in lactating dairy cows.
      ). Similarly, in a study in which barley was partially substituted with beet pulp in the concentrate, molar proportion of acetate increased and that of propionate and total VFA concentration in the rumen contents decreased (
      • Bodas R.
      • Giraldez F.J.
      • Lopez S.
      • Rodriguez A.B.
      • Mantecon A.R.
      Inclusion of sugar beet pulp in cereal-based diets for fattening lambs.
      ).
      • Bannink A.
      • Kogut J.
      • Dijkstra J.
      • France J.
      • Kebreab E.
      • Van Vuuren A.M.
      • Tamminga S.
      Estimation of the stoichiometry of volatile fatty acid production in the rumen of lactating cows.
      analyzed VFA data from 182 diets and found higher molar proportions of propionic acid to occur upon fermentation of starch compared with fermentation of cellulose or hemicellulose. In contrast with these findings, rumen acetate and propionate molar proportions were not affected by level of starch, although the source of starch (R vs. S) did significantly affect propionate molar proportion. The relatively high mean daily rumen pH recorded with all treatments may have been the reason for the absence of a substantial response in propionic acid production.
      • Bannink A.
      • France J.
      • Lopez S.
      • Gerrits W.J.J.
      • Kebreab E.
      • Tamminga S.
      • Dijkstra J.
      Modeling the implications of feeding strategy on rumen fermentation and functioning of the rumen wall.
      estimated that with elevated rumen pH the fraction of starch fermented to propionic acid rather than acetic and butyric acid decreases, with the minimum reached at pH values above 6.5. At this pH, the minimum fraction of starch fermented to propionic acid is just slightly higher than the fraction of cellulose or hemicellulose fermented to propionic acid on roughage-type diets (more than 50% roughage on DM basis).
      In the present study, starch content increased from on average 116 (low starch level) to 212 (high starch level) g/kg of DM. In a study with diets containing 152, 192, 218, and 224 g/kg of DM of starch from oats, barley, corn, and wheat as the primary source of carbohydrate, respectively, ruminal pH and VFA concentrations were unaffected (
      • Gozho G.N.
      • Mutsvangwa T.
      Influence of carbohydrate source on ruminal fermentation characteristics, performance, and microbial protein synthesis in dairy cows.
      ). In another study, substitution of beet pulp for high-moisture corn up to 243 g/kg of DM also did not affect daily mean or minimum ruminal pH (
      • Voelker J.A.
      • Allen M.S.
      Pelleted beet pulp substituted for high-moisture corn: 3. Effects on ruminal fermentation, pH, and microbial protein efficiency in lactating dairy cows.
      ). In the present study, the bicarbonate added as a buffer to the high starch concentrates may have prevented a pronounced drop in rumen pH, which is expected to increase rumen propionate proportions (
      • Bannink A.
      • France J.
      • Lopez S.
      • Gerrits W.J.J.
      • Kebreab E.
      • Tamminga S.
      • Dijkstra J.
      Modeling the implications of feeding strategy on rumen fermentation and functioning of the rumen wall.
      ). This may have contributed to the absence of effect of level of starch on VFA molar proportions in the rumen.

      Effects on DMI, Nutrient Digestibility, and Milk Production

      Cows fed H starch–based diets consumed less feed compared with those fed L starch–based diets, whereas source of starch did not affect DMI. The effects of source and level of starch on feed intake are inconsistent among studies reported in the literature. In agreement with our results, a reduced DMI on a high-starch concentrate diet compared with a high-NDF concentrate diet was reported by
      • Miron J.
      • Yosef E.
      • Nikbachat M.
      • Zenou A.
      • Maltz E.
      • Halachmi I.
      • Ben-Ghedalia D.
      Feeding behavior and performance of dairy cows fed pelleted non-roughage fiber byproducts.
      . Conversely, in other experiments the type of carbohydrate in concentrate mixture (starch vs. cell wall constituents) in total mixed diets did not affect DMI (
      • De Visser H.
      • Van der Togt P.L.
      • Tamminga S.
      Structural and non-structural carbohydrates in concentrate supplements of silage-based dairy-cow rations. 1. Feed-intake and milk-production.
      ;
      • Abrahamse P.A.
      • Vlaeminck B.
      • Tamminga S.
      • Dijkstra J.
      The effect of silage and concentrate type on intake behavior, rumen function, and milk production in dairy cows in early and late lactation.
      ), whereas
      • Beckman J.L.
      • Weiss W.P.
      Nutrient digestibility of diets with different fiber to starch ratios when fed to lactating dairy cows.
      reported a tendency of higher DMI as NDF in the diet increased and starch decreased. Other studies reported an increased DMI by cows fed slowly fermentable corn starch compared with rapidly fermentable barley starch (
      • Casper D.P.
      • Schingoethe D.J.
      Lactational response of dairy-cows to diets varying in ruminal solubilities of carbohydrate and crude protein.
      ;
      • McCarthy R.D.
      • Klusmeyer T.H.
      • Vicini J.L.
      • Clark J.H.
      • Nelson D.R.
      Effects of source of protein and carbohydrate on ruminal fermentation and passage of nutrients to the small intestine of lactating cows.
      ). Intake can be affected by numerous factors such as rate of fermentation of starch and fiber, meal patterns, metabolic fuel absorbed, and ruminal patterns of fermentation and pH (
      • Allen M.S.
      Effects of diet on short-term regulation of feed intake by lactating dairy cattle.
      ;
      • Voelker J.A.
      • Allen M.S.
      Pelleted beet pulp substituted for high-moisture corn: 1. Effects on feed intake, chewing behavior, and milk production of lactating dairy cows.
      ;
      • Reynolds C.K.
      Production and metabolic effects of site of starch digestion in dairy cattle.
      ). In the present study, the ED of OM in the rumen was 13% higher for cows fed the H starch diet compared with L starch diet, and this higher ED may be associated with reduced feed intake. With high-starch diets resulting in high propionic acid production in the rumen, DMI may decrease because of the hepatic oxidation of propionate affecting feed intake (
      • Allen M.S.
      • Bradford B.J.
      • Oba M.
      The hepatic oxidation theory of the control of feed intake and its application to ruminants.
      ). Propionate uptake by liver could have been altered but was not measured. The supply could have been changed as suggested by
      • Sutton J.D.
      • Dhanoa M.S.
      • Morant S.V.
      • France J.
      • Napper D.J.
      • Schuller E.
      Rates of production of acetate, propionate, and butyrate in the rumen of lactating dairy cows given normal and low-roughage diets.
      .
      A significantly higher apparent total-tract starch digestibility for R starch compared with S starch diets was consistent with rumen ED of starch. However, the difference in total-tract digestibility was much smaller (972 vs. 955 g of digested starch/kg of dietary starch; R vs. S starch–based diets) than the difference in ED of starch (806 vs. 508 g of rumen-degraded starch/kg of dietary starch; R vs. S starch–based concentrates). These values indicate that a much higher fraction of dietary starch could have been digested postruminally with S starch than with R starch diets. In agreement with our results,
      • Gozho G.N.
      • Mutsvangwa T.
      Influence of carbohydrate source on ruminal fermentation characteristics, performance, and microbial protein synthesis in dairy cows.
      reported apparent total-tract digestibility of starch in cows fed rapidly fermentable starch (oats-based diet) to be higher than in cows fed slowly fermentable starch (corn- and wheat-based diets), with no differences observed for DM, OM, and NDF digestibility. In contrast,
      • Ferraretto L.F.
      • Crump P.M.
      • Shaver R.D.
      Effect of cereal grain type and corn grain harvesting and processing methods on intake, digestion, and milk production by dairy cows through a meta-analysis.
      in their meta-analysis reported that increased dietary starch levels typically decreased ruminal and total-tract NDF digestibility when cows are fed high-starch diets. The potential for the negative associative effects of high level of fermentable starch on ruminal fiber digestionn (
      • Firkins J.L.
      • Eastridge M.L.
      • St-Pierre N.R.
      • Noftsger S.M.
      Effects of grain variability and processing on starch utilization by lactating dairy cattle.
      ;
      • Ferraretto L.F.
      • Crump P.M.
      • Shaver R.D.
      Effect of cereal grain type and corn grain harvesting and processing methods on intake, digestion, and milk production by dairy cows through a meta-analysis.
      ) probably did not occur in the present study with pH remaining at levels high enough not to impair activity of fibrolytic bacteria.
      Milk characteristics were not affected by dietary treatments. The lack of effect of starch source on milk fat in the present study is in agreement with
      • Silveira C.
      • Oba M.
      • Beauchemin K.A.
      • Helm J.
      Effect of grains differing in expected ruminal fermentability on the productivity of lactating dairy cows.
      , when cows were fed on wheat-, barley-, or corn-based diets. In contrast,
      • Voelker J.A.
      • Allen M.S.
      Pelleted beet pulp substituted for high-moisture corn: 1. Effects on feed intake, chewing behavior, and milk production of lactating dairy cows.
      observed a reduced FCM yield and fat yield when lactating dairy cows were fed a diet with 18% starch compared with 27 and 31% starch diets. The tendency in higher milk protein yield observed with R starch–based diets may be explained by the higher eRFOM, because a rise in OM degraded may stimulate microbial protein synthesis leading to an increased absorption of amino acids in the intestine.

      Effects on Methane Production

      Based on differences in propionate molar proportion between treatments, a reduction in CH4 production could be expected with R starch compared with S starch, because high propionic acid levels are associated with reduced methanogenesis (
      • Benchaar C.
      • Pomar C.
      • Chiquette J.
      Evaluation of dietary strategies to reduce methane production in ruminants: A modelling approach.
      ). However, in the present study the treatment differences for propionate molar proportion were either not present (level of starch) or rather small in size (source of starch), and this may have contributed to the absence of reduction of CH4 production per kilogram of DMI, as percentage of GE intake, or per kilogram of FPCM. In contrast, lower CH4 emissions per kilogram of DMI and as a percentage of GE for cattle fed corn compared with barley were reported by
      • Beauchemin K.A.
      • McGinn S.M.
      Methane emissions from feedlot cattle fed barley or corn diets.
      . Rapidly fermentable starch showed a tendency to decrease the acetate:propionate ratio. However,
      • Martin C.
      • Morgavi D.P.
      • Doreau M.
      Methane mitigation in ruminants: From microbe to the farm scale.
      suggested that low acetate:propionate ratio and depressed CH4 production may not always be linked in high concentrate–fed animals. One of the possible explanations for the lack of relationship between CH4 emission and rumen VFA pattern may be due, in part, to the observation that the molar proportions of ruminal VFA do not necessarily reflect the proportion in which they are produced (
      • Sutton J.D.
      • Dhanoa M.S.
      • Morant S.V.
      • France J.
      • Napper D.J.
      • Schuller E.
      Rates of production of acetate, propionate, and butyrate in the rumen of lactating dairy cows given normal and low-roughage diets.
      ) but rather reflect the balance between production and absorption (
      • Dijkstra J.
      • Boer H.
      • Van Bruchem J.
      • Bruining M.
      • Tamminga S.
      Absorption of volatile fatty-acids from the rumen of lactating dairy cows as influenced by volatile fatty-acid concentration, pH and rumen liquid volume.
      ). This balance can be influenced by many factors including level of DMI, rumen volume, rumen absorptive capacity, and rumen pH (
      • Bannink A.
      • France J.
      • Lopez S.
      • Gerrits W.J.J.
      • Kebreab E.
      • Tamminga S.
      • Dijkstra J.
      Modeling the implications of feeding strategy on rumen fermentation and functioning of the rumen wall.
      ). Also, all dietary treatments in the current study were rather high in NDF (378 to 441 g/kg of DM), which could promote chewing, increase salivation rate, and have contributed to rumen buffering.
      In contrast to the absence of effects of dietary treatments on CH4 expressed per kilogram of DMI, CH4 production expressed per unit of eRFOM was lower for R than S starch-based diets. Such an effect was not established when CH4 production was expressed per kilogram of digested OM, or per kilogram of FPCM, in agreement with data from other studies (
      • Mills J.A.N.
      • France J.
      • Dijkstra J.
      A review of starch digestion in the lactating dairy cow and proposals for a mechanistic model: 2. Postruminal starch digestion and small intestinal glucose absorption.
      ;
      • Firkins J.L.
      • Eastridge M.L.
      • St-Pierre N.R.
      • Noftsger S.M.
      Effects of grain variability and processing on starch utilization by lactating dairy cattle.
      ) because large differences in rumen ED of starch were almost completely compensated by digestion of bypass starch in the intestine. In partial agreement with our results,
      • Hassanat F.
      • Gervais R.
      • Julien C.
      • Masse D.I.
      • Lettat A.
      • Chouinard P.Y.
      • Petit H.V.
      • Benchaar C.
      Replacing alfalfa silage with corn silage in dairy cow diets: Effects on enteric methane production, ruminal fermentation, digestion, N balance, and milk production.
      also found no effect on CH4 production per unit of feed intake, GE intake, and milk upon increasing dietary starch content from 170 to 228 g/kg of DM in dairy cattle, but a further increase to 300 g/kg of DM did reduce CH4 production. This might be an indication that higher starch levels than the highest level of 217 g/kg of DM tested in the present study are required to reduce enteric CH4 production. In a recent review on CH4 mitigation options,
      • Hristov A.N.
      • Oh J.
      • Firkins J.L.
      • Dijkstra J.
      • Kebreab E.
      • Waghorn G.
      • Makkar H.P.S.
      • Adesogan A.T.
      • Yang W.
      • Lee C.
      • Gerber P.J.
      • Henderson B.
      • Tricarico J.M.
      Mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options.
      concluded that inclusion of starch-rich concentrates below 350 to 400 g/kg of total diet DM influences CH4 production to a minor extent only, and CH4 emission intensity decreased particularly with levels greater than 400 g/kg of DM. Because the starch content in the present study remained well below 400 g/kg of DM and the contrast tested was relatively small (100 g/kg of DM), the absence of starch level on CH4 production per kilogram DMI or per kilogram of FPCM is in line with these findings.
      Daily CH4 production (g/d) was reduced mainly because of a higher level of starch and associated lower DMI but not due to source of starch in the diet. Similar responses in daily CH4 output were also observed by
      • Mc Geough E.J.
      • O’Kiely P.
      • Hart K.J.
      • Moloney A.P.
      • Boland T.M.
      • Kenny D.A.
      Methane emissions, feed intake, performance, digestibility, and rumen fermentation of finishing beef cattle offered whole-crop wheat silages differing in grain content.
      in beef cattle fed whole-crop wheat silages with increasing dietary starch content. The 8% reduction in daily CH4 production due to high dietary level of starch observed in the present study though was for a large part due to the 4% lower DMI rather than due to the level of starch in the diet. Studies reported in literature confirm the direct relationship between CH4 production and DMI (
      • Benchaar C.
      • Pomar C.
      • Chiquette J.
      Evaluation of dietary strategies to reduce methane production in ruminants: A modelling approach.
      ;
      • Hristov A.N.
      • Oh J.
      • Firkins J.L.
      • Dijkstra J.
      • Kebreab E.
      • Waghorn G.
      • Makkar H.P.S.
      • Adesogan A.T.
      • Yang W.
      • Lee C.
      • Gerber P.J.
      • Henderson B.
      • Tricarico J.M.
      Mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options.
      ).

      Effects on Nitrogen Balance

      For better assessment of the overall environmental impact of including different sources and levels of starch in the diet of dairy cows to reduce enteric CH4 production, emissions of other greenhouse gases such as N2O need to be accounted for. The amount and form of excreted N has a major effect on emissions of N2O (
      • Dijkstra J.
      • Oenema O.
      • Bannink A.
      Dietary strategies to reducing N excretion from cattle: Implications for methane emissions.
      ), and therefore in the present study we also evaluated the effects of the dietary treatments on N balance. Daily N intake and N retention remained unaffected by treatments. The tendency of higher N output in milk in cows fed R starch suggests that rumen-digested starch was stimulatory for milk protein synthesis and was associated with a numerical net mobilization of N, compared with a numerical net retention of N with S starch that have been digested relatively more in the small intestine (
      • Mills J.A.N.
      • Dijkstra J.
      • Bannink A.
      • Cammell S.B.
      • Kebreab E.
      • France J.
      A mechanistic model of whole-tract digestion and methanogenesis in the lactating dairy cow: Model development, evaluation, and application.
      ). In contrast,
      • Ferraretto L.F.
      • Crump P.M.
      • Shaver R.D.
      Effect of cereal grain type and corn grain harvesting and processing methods on intake, digestion, and milk production by dairy cows through a meta-analysis.
      reported a tendency of lower N secreted in milk in cows fed rapidly fermentable starch such as a wheat-based diet compared with cows fed slowly fermentable starch sources such as barley- or corn- based diets.
      The positive N retention on S starch–based diets and the small negative N retention on R starch–based diets were not in line with the actual BW change recorded (−0.6 vs. −1.3 kg/d, S vs. R). Inherent errors associated with N-balance studies in lactating dairy cows (such as volatile N losses from manure during collection) likely result in overestimating the true N retention (as reviewed by
      • Spanghero M.
      • Kowalski Z.M.
      Critical analysis of N balance experiments with lactating cows.
      ;
      • Benchaar C.
      • Hassanat F.
      • Gervais R.
      • Chouinard P.Y.
      • Julien C.
      • Petit H.V.
      • Masse D.I.
      Effects of increasing amounts of corn dried distillers grains with solubles in dairy cow diets on methane production, ruminal fermentation, digestion, N balance, and milk production.
      ;
      • Spek J.W.
      • Bannink A.
      • Gort G.
      • Hendriks W.H.
      • Dijkstra J.
      Interaction between dietary content of protein and sodium chloride on milk urea concentration, urinary urea excretion, renal recycling of urea, and urea transfer to the gastrointestinal tract in dairy cows.
      ). However, in our study, all major N sources emitted were captured with the setup of our respiration chambers. In addition, across all treatments the N retention was quite close to zero, indicating no such problems of losses has occurred, whereas in a review on dairy cattle N balance trials,
      • Spanghero M.
      • Kowalski Z.M.
      Critical analysis of N balance experiments with lactating cows.
      calculated an average N balance of 39 g/d.

      Conclusions

      Results from this study show that both increasing the level of starch in the diet at the expense of fiber (beet pulp and palm kernel expeller) and increasing the rate of fermentation of starch did not affect CH4 emissions expressed per unit of DMI, per unit of OM digested, per unit of GE intake, or per unit of milk produced but does reduce enteric CH4 emissions of dairy cattle expressed per unit of eRFOM. Rapidly fermentable starch, but not starch level in the diet, increased the propionate molar proportion and tended to decrease the acetate:propionate ratio in the rumen.

      Acknowledgments

      The authors gratefully acknowledge the Dutch Ministry of Economic Affairs (The Hague, the Netherlands), Product Board Animal Feed (Zoetermeer, the Netherlands), and the Dutch Dairy Board (Zoetermeer, the Netherlands) for providing financial support for this research project. The authors thank L. H. de Jonge (Animal Nutrition Group, Wageningen University, the Netherlands) for his assistance in conducting the in situ experiment. We also thank S. Van Laar-van Schuppen, J. M. Muylaert, T. X. H. Van der Schans - Le, and A. K. Wissink (Animal Nutrition Group, Wageningen University, the Netherlands) for their assistance in laboratory samples analysis.

      References

        • Abrahamse P.A.
        • Vlaeminck B.
        • Tamminga S.
        • Dijkstra J.
        The effect of silage and concentrate type on intake behavior, rumen function, and milk production in dairy cows in early and late lactation.
        J. Dairy Sci. 2008; 91: 4778-4792
        • Allen M.S.
        Effects of diet on short-term regulation of feed intake by lactating dairy cattle.
        J. Dairy Sci. 2000; 83: 1598-1624
        • Allen M.S.
        • Bradford B.J.
        • Oba M.
        The hepatic oxidation theory of the control of feed intake and its application to ruminants.
        J. Anim. Sci. 2009; 87: 3317-3334
        • Bannink A.
        • France J.
        • Lopez S.
        • Gerrits W.J.J.
        • Kebreab E.
        • Tamminga S.
        • Dijkstra J.
        Modeling the implications of feeding strategy on rumen fermentation and functioning of the rumen wall.
        Anim. Feed Sci. Technol. 2008; 143: 3-26
        • Bannink A.
        • Kogut J.
        • Dijkstra J.
        • France J.
        • Kebreab E.
        • Van Vuuren A.M.
        • Tamminga S.
        Estimation of the stoichiometry of volatile fatty acid production in the rumen of lactating cows.
        J. Theor. Biol. 2006; 238: 36-51
        • Beauchemin K.A.
        • McGinn S.M.
        Methane emissions from feedlot cattle fed barley or corn diets.
        J. Anim. Sci. 2005; 83: 653-661
        • Beckman J.L.
        • Weiss W.P.
        Nutrient digestibility of diets with different fiber to starch ratios when fed to lactating dairy cows.
        J. Dairy Sci. 2005; 88: 1015-1023
        • Benchaar C.
        • Hassanat F.
        • Gervais R.
        • Chouinard P.Y.
        • Julien C.
        • Petit H.V.
        • Masse D.I.
        Effects of increasing amounts of corn dried distillers grains with solubles in dairy cow diets on methane production, ruminal fermentation, digestion, N balance, and milk production.
        J. Dairy Sci. 2013; 96: 2413-2427
        • Benchaar C.
        • Pomar C.
        • Chiquette J.
        Evaluation of dietary strategies to reduce methane production in ruminants: A modelling approach.
        Can. J. Anim. Sci. 2001; 81: 563-574
        • Bodas R.
        • Giraldez F.J.
        • Lopez S.
        • Rodriguez A.B.
        • Mantecon A.R.
        Inclusion of sugar beet pulp in cereal-based diets for fattening lambs.
        Small Rumin. Res. 2007; 71: 250-254
        • Casper D.P.
        • Schingoethe D.J.
        Lactational response of dairy-cows to diets varying in ruminal solubilities of carbohydrate and crude protein.
        J. Dairy Sci. 1989; 72: 928-941
        • De Visser H.
        • Van der Togt P.L.
        • Tamminga S.
        Structural and non-structural carbohydrates in concentrate supplements of silage-based dairy-cow rations. 1. Feed-intake and milk-production.
        Neth. J. Agric. Sci. 1990; 38: 487-498
        • Dijkstra J.
        • Boer H.
        • Van Bruchem J.
        • Bruining M.
        • Tamminga S.
        Absorption of volatile fatty-acids from the rumen of lactating dairy cows as influenced by volatile fatty-acid concentration, pH and rumen liquid volume.
        Br. J. Nutr. 1993; 69: 385-396
        • Dijkstra J.
        • Ellis J.L.
        • Kebreab E.
        • Strathe A.B.
        • Lopez S.
        • France J.
        • Bannink A.
        Ruminal pH regulation and nutritional consequences of low pH.
        Anim. Feed Sci. Technol. 2012; 172: 22-23
        • Dijkstra J.
        • Oenema O.
        • Bannink A.
        Dietary strategies to reducing N excretion from cattle: Implications for methane emissions.
        Curr. Opin. Environ. Sustain. 2011; 3: 414-422
        • Ferraretto L.F.
        • Crump P.M.
        • Shaver R.D.
        Effect of cereal grain type and corn grain harvesting and processing methods on intake, digestion, and milk production by dairy cows through a meta-analysis.
        J. Dairy Sci. 2013; 96: 533-550
        • Firkins J.L.
        • Eastridge M.L.
        • St-Pierre N.R.
        • Noftsger S.M.
        Effects of grain variability and processing on starch utilization by lactating dairy cattle.
        J. Anim. Sci. 2001; 79: E218-E238
        • Gozho G.N.
        • Mutsvangwa T.
        Influence of carbohydrate source on ruminal fermentation characteristics, performance, and microbial protein synthesis in dairy cows.
        J. Dairy Sci. 2008; 91: 2726-2735
        • Hassanat F.
        • Gervais R.
        • Julien C.
        • Masse D.I.
        • Lettat A.
        • Chouinard P.Y.
        • Petit H.V.
        • Benchaar C.
        Replacing alfalfa silage with corn silage in dairy cow diets: Effects on enteric methane production, ruminal fermentation, digestion, N balance, and milk production.
        J. Dairy Sci. 2013; 96: 4553-4567
        • Hristov A.N.
        • Oh J.
        • Firkins J.L.
        • Dijkstra J.
        • Kebreab E.
        • Waghorn G.
        • Makkar H.P.S.
        • Adesogan A.T.
        • Yang W.
        • Lee C.
        • Gerber P.J.
        • Henderson B.
        • Tricarico J.M.
        Mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options.
        J. Anim. Sci. 2013; 91: 5045-5069
        • IPCC (Intergovernmental Panel on Climate Change)
        Solomon S. Qin D. Manning M. Chen Z. Marquis M. Averyt K.B. Tignor M. Miller H.L. Climate change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge Univ. Press, Cambridge, UK2007
      1. ISO 5983. 2005. Animal Feeding Stuffs. Determination of Nitrogen Content and Calculation of Crude Protein Content—Kjeldahl Method. Int. Org. Stand., Geneva, Switzerland.

      2. ISO 5984. 2002. Animal Feeding Stuffs. Determination of Crude Ash. Int. Org. Stand., Geneva, Switzerland.

      3. ISO 6492. 1999. Animal Feeding Stuffs. Determination of Fat Content. Int. Org. Stand., Geneva, Switzerland.

      4. ISO 6496. 1999. Animal Feeding Stuffs. Determination of Moisture and Other Volatile Matter Content. Int. Org. Stand., Geneva, Switzerland.

      5. ISO 9622. 1999. Whole Milk—Determination of Milk Fat, Protein and Lactose Content—Guidance on the Operation of Mid-infrared Instruments. Int. Org. Stand., Geneva, Switzerland.

      6. ISO 9831. 1998. Animal Feeding Stuffs, Animal Products, and Feces or Urine. Determination of Gross Caloric Value—Bomb Calorimetric Method. Int. Org. Stand., Geneva, Switzerland.

      7. ISO 14637. 2004. Milk—Determination of Urea Content—Enzymatic Method Using Difference in pH. Int. Org. Stand., Geneva, Switzerland.

      8. ISO 15914. 2004. Animal Feeding Stuffs. Enzymatic Determination of Total Starch Content. Int. Org. Stand., Geneva, Switzerland.

        • Knapp J.R.
        • Laur G.L.
        • Vadas P.A.
        • Weiss W.P.
        • Tricarico J.M.
        Invited review: Enteric methane in dairy cattle production: Quantifying the opportunities and impact of reducing emissions.
        J. Dairy Sci. 2014; 97: 3231-3261
        • Koenig K.M.
        • Beauchemin K.A.
        • Rode L.M.
        Effect of grain processing and silage on microbial protein synthesis and nutrient digestibility in beef cattle fed barley-based diets.
        J. Anim. Sci. 2003; 81: 1057-1067
        • Littell R.C.
        • Henry P.R.
        • Ammerman C.B.
        Statistical analysis of repeated measures data using SAS procedures.
        J. Anim. Sci. 1998; 76: 1216-1231
        • Martin C.
        • Morgavi D.P.
        • Doreau M.
        Methane mitigation in ruminants: From microbe to the farm scale.
        Animal. 2010; 4: 351-365
        • Mc Geough E.J.
        • O’Kiely P.
        • Hart K.J.
        • Moloney A.P.
        • Boland T.M.
        • Kenny D.A.
        Methane emissions, feed intake, performance, digestibility, and rumen fermentation of finishing beef cattle offered whole-crop wheat silages differing in grain content.
        J. Anim. Sci. 2010; 88 (): 2703-2716
        • McCarthy R.D.
        • Klusmeyer T.H.
        • Vicini J.L.
        • Clark J.H.
        • Nelson D.R.
        Effects of source of protein and carbohydrate on ruminal fermentation and passage of nutrients to the small intestine of lactating cows.
        J. Dairy Sci. 1989; 72: 2002-2016
        • Mills J.A.N.
        • Dijkstra J.
        • Bannink A.
        • Cammell S.B.
        • Kebreab E.
        • France J.
        A mechanistic model of whole-tract digestion and methanogenesis in the lactating dairy cow: Model development, evaluation, and application.
        J. Anim. Sci. 2001; 79: 1584-1597
        • Mills J.A.N.
        • France J.
        • Dijkstra J.
        A review of starch digestion in the lactating dairy cow and proposals for a mechanistic model: 2. Postruminal starch digestion and small intestinal glucose absorption.
        J. Anim. Feed Sci. 1999; 8: 451-481
        • Miron J.
        • Yosef E.
        • Nikbachat M.
        • Zenou A.
        • Maltz E.
        • Halachmi I.
        • Ben-Ghedalia D.
        Feeding behavior and performance of dairy cows fed pelleted non-roughage fiber byproducts.
        J. Dairy Sci. 2004; 87: 1372-1379
        • Ørskov E.R.
        • McDonald I.
        Estimation of protein degradation in the rumen from incubation measurements weighted according to rate of passage.
        J. Agric. Sci. 1979; 92: 499-503
        • Reynolds C.K.
        Production and metabolic effects of site of starch digestion in dairy cattle.
        Anim. Feed Sci. Technol. 2006; 130: 78-94
      9. SAS Institute Inc. 2010. Statistical Analysis Software. SAS/STAT 9.3 User’s Guide. SAS Inst. Inc., Cary, NC.

        • Silveira C.
        • Oba M.
        • Beauchemin K.A.
        • Helm J.
        Effect of grains differing in expected ruminal fermentability on the productivity of lactating dairy cows.
        J. Dairy Sci. 2007; 90: 2852-2859
        • Spanghero M.
        • Kowalski Z.M.
        Critical analysis of N balance experiments with lactating cows.
        Livest. Prod. Sci. 1997; 52: 113-122
        • Spek J.W.
        • Bannink A.
        • Gort G.
        • Hendriks W.H.
        • Dijkstra J.
        Interaction between dietary content of protein and sodium chloride on milk urea concentration, urinary urea excretion, renal recycling of urea, and urea transfer to the gastrointestinal tract in dairy cows.
        J. Dairy Sci. 2013; 96: 5734-5745
        • Sutton J.D.
        • Dhanoa M.S.
        • Morant S.V.
        • France J.
        • Napper D.J.
        • Schuller E.
        Rates of production of acetate, propionate, and butyrate in the rumen of lactating dairy cows given normal and low-roughage diets.
        J. Dairy Sci. 2003; 86: 3620-3633
        • Tamminga S.
        • Van Straalen W.M.
        • Subnel A.P.J.
        • Meijer R.G.M.
        • Steg A.
        • Wever C.J.G.
        • Blok M.C.
        The Dutch protein evaluation system—The DVE/OEB-system.
        Livest. Prod. Sci. 1994; 40: 139-155
        • Tas B.M.
        • Taweel H.Z.
        • Smit H.J.
        • Elgersma A.
        • Dijkstra J.
        • Tamminga S.
        Rumen degradation characteristics of perennial ryegrass cultivars during the growing season.
        Anim. Feed Sci. Technol. 2006; 131: 102-119
        • Taweel H.Z.
        • Tas B.M.
        • Smit H.J.
        • Elgersma A.
        • Dijkstra J.
        • Tamminga S.
        Effects of feeding perennial ryegrass with an elevated concentration of water soluble carbohydrates on intake, rumen function and performance of dairy cows.
        Anim. Feed Sci. Technol. 2005; 121: 243-256
        • Van Soest P.J.
        Collaborative study of acid-detergent fiber and lignin.
        J. Assoc. Off. Anal. Chem. 1973; 56: 781-784
        • Van Soest P.J.
        • Robertson J.B.
        • Lewis B.A.
        Methods for dietary fiber, neutral detergent fiber, and nonstructural polysaccharides in relation to animal nutrition.
        J. Dairy Sci. 1991; 74: 3583-3597
        • Van Vuuren A.M.
        • Van der Koelen C.J.
        • Valk H.
        • De Visser H.
        Effects of partial replacement of ryegrass by low-protein feeds on rumen fermentation and nitrogen loss by dairy cows.
        J. Dairy Sci. 1993; 76: 2982-2993
        • Van Zijderveld S.M.
        • Dijkstra J.
        • Perdok H.B.
        • Newbold J.R.
        • Gerrits W.J.J.
        Dietary inclusion of diallyl disulfide, yucca powder, calcium fumarate, an extruded linseed product, or medium-chain fatty acids does not affect methane production in lactating dairy cows.
        J. Dairy Sci. 2011; 94: 3094-3104
        • Van Zijderveld S.M.
        • Fonken B.
        • Dijkstra J.
        • Gerrits W.J.J.
        • Perdok H.B.
        • Fokkink W.
        • Newbold J.R.
        Effects of a combination of feed additives on methane production, diet digestibility, and animal performance in lactating dairy cows.
        J. Dairy Sci. 2011; 94: 1445-1454
        • Verstegen M.W.A.
        • Van der Hel W.
        • Brandsma H.A.
        • Henken A.M.
        • Bransen A.M.
        The Wageningen respiration unit for animal production research: A description of the equipment and its possibilities.
        in: Verstegen M.W.A. Henken A.M. Energy Metabolism in Farm Animals: Effects of Housing, Stress and Disease. Martinus Nijhoff Publ., Dordrecht, the Netherlands1987: 21-48
        • Voelker J.A.
        • Allen M.S.
        Pelleted beet pulp substituted for high-moisture corn: 3. Effects on ruminal fermentation, pH, and microbial protein efficiency in lactating dairy cows.
        J. Dairy Sci. 2003; 86: 3562-3570
        • Voelker J.A.
        • Allen M.S.
        Pelleted beet pulp substituted for high-moisture corn: 1. Effects on feed intake, chewing behavior, and milk production of lactating dairy cows.
        J. Dairy Sci. 2003; 86: 3542-3552
        • Williams C.H.
        • Iismaa O.
        • David D.J.
        Determination of chromic oxide in feces samples by atomic absorption spectrophotometry.
        J. Agric. Sci. 1962; 59: 381-385