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Research| Volume 102, ISSUE 12, P10903-10915, December 2019

Performance of dairy cows fed diets with similar proportions of undigested neutral detergent fiber with wheat straw substituted for alfalfa hay, corn silage, or both

Open ArchivePublished:September 20, 2019DOI:https://doi.org/10.3168/jds.2019-16869

      ABSTRACT

      This study evaluated the effects of feeding diets that were formulated to contain similar proportions of undigested neutral detergent fiber (uNDF) from forage, with wheat straw (WS) substituted for corn silage (CS), alfalfa hay (AH), or both. The diets were fed to lactating dairy cows and intake, digestibility, blood metabolites, and milk production were examined. Thirty-two multiparous Holstein cows (body weight = 642 ± 50 kg; days in milk = 78 ± 11 d; milk production = 56 ± 6 kg/d; mean ± standard deviation) were used in a randomized block design with 6-wk periods after a 10-d covariate period. Each period consisted of 14 d of adaptation followed by 28 d of data collection. The control diet contained CS and AH as forage sources (CSAH) with 17% of dietary dry matter as uNDF after 30 h of incubation (uNDF30). Wheat straw was substituted for AH (WSCS), CS (WSAH), or both (WSCSAH) on an uNDF30 basis, and beet pulp was used to obtain similar concentrations of NDF digestibility after 30 h of incubation (NDFD30 = 44.5% of NDF) across all diets. The 4 diets also contained similar concentrations of net energy for lactation and metabolizable protein. Dry matter intake was greatest for WSCS (27.8 kg/d), followed by CSAH (25.7 kg/d), WSCSAH (25.2 kg/d), and WSAH (24.2 kg/d). However, yields of milk, 3.5% fat-corrected milk (FCM), and energy-corrected milk did not differ, resulting in higher FCM efficiency (kg of FCM yield/kg of dry matter intake) for WSAH (1.83) and WSCSAH (1.79), followed by CSAH (1.69) and WSCS (1.64). Milk protein percentage was greater for CSAH (2.84%) and WSCS (2.83%) than for WSAH (2.78%), and WSCSAH (2.81%) was intermediate. The opposite trend was observed for milk urea nitrogen, which was lower for CSAH (15.8 mg/dL), WSCS (15.8 mg/dL), and WSCSAH (17.0 mg/dL) than for WSAH (20 mg/dL). Total-tract NDF digestibility and ruminal pH were greater for diets containing WS than the diet without WS (CSAH), but digestibility of other nutrients was not affected by dietary treatments. Cows fed WSAH had less body reserves (body weight change = −13.5 kg/period) than the cows fed the other diets, whereas energy balance was greatest for those fed WSCS. The results showed that feeding high-producing dairy cows diets containing different forage sources but formulated to supply similar concentrations of uNDF30 while maintaining NDFD30, net energy for lactation, and metabolizable protein constant did not influence milk production. However, a combination of WS and CS (WSCS diet) compared with a diet with CS and AH improved feed intake, ruminal pH, total-tract NDF digestibility, and energy balance of dairy cows.

      Key words

      INTRODUCTION

      Corn silage (CS) and alfalfa hay (AH) are 2 forage sources commonly used in dairy diets worldwide. Both forages can be highly digestible and therefore promote high intake and milk production (
      • Wang B.
      • Mao S.Y.
      • Yang H.J.
      • Wu Y.M.
      • Wang J.K.
      • Li S.L.
      • Shen Z.M.
      • Liu J.X.
      Effects of alfalfa and cereal straw as a forage source on nutrient digestibility and lactation performance in lactating dairy cows.
      ;
      • Ferraretto L.F.
      • Fonseca A.C.
      • Sniffen C.J.
      • Formigoni A.
      • Shaver R.D.
      Effect of corn silage hybrids differing in starch and neutral detergent fiber digestibility on lactation performance and total-tract nutrient digestibility by dairy cows.
      ). However, production of these high-quality forages requires a tremendous area of land and water, which are limited in many regions of the world. Therefore, byproduct feeds and crop residues are frequently used as fiber sources in dairy cow diets.
      Wheat straw (WS) is a relatively inexpensive and available fiber source that is produced worldwide as a byproduct of wheat grain production. However, WS is poorly digested in the total-tract of dairy cows; its in vitro NDF digestibility (NDFD) at 30- and 48-h incubations has been estimated as 24 and 37% of NDF, respectively (
      • Spanghero M.
      • Berzaghi P.
      • Fortina R.
      • Masoero F.
      • Rapetti L.
      • Zanfi C.
      • Tassone S.
      • Gallo A.
      • Colombini S.
      • Ferlito J.C.
      Technical note: Precision and accuracy of in vitro digestion of neutral detergent fiber and predicted net energy of lactation content of fibrous feeds.
      ), and it has an estimated TDN content of 47.5% (
      • National Research Council
      Nutrient Requirements of Dairy Cattle.
      ). The low digestibility of WS may compromise milk production, although WS is often used in dairy cow diets as a source of physically effective fiber to promote rumination and elevate ruminal pH (
      • Eastridge M.L.
      • Bucci P.B.
      • Ribeiro C.V.D.M.
      Feeding equivalent concentrations of forage neutral detergent fiber from alfalfa hay, grass hay, wheat straw, and whole cottonseed in corn silage based diets to lactating cows.
      ). Beet pulp (BP) is another widely available byproduct feed that is highly digestible in the rumen (in vitro NDFD of 76–90% of NDF for 30- and 48-h incubations;
      • Hoffman P.
      • Combs D.K.
      Using NDF digestibility in ration formulation.
      ;
      • Dal Maso M.
      • Schiavon S.
      • Tagliapietra F.
      • Simonetto A.
      • Bittante G.
      Growth performance and N excretion of double muscled Piemontese bulls fed low protein rations with or without the addition of rumen protected conjugated linoleic acid.
      ) and high in TDN content (69.1%;
      • National Research Council
      Nutrient Requirements of Dairy Cattle.
      ), but it lacks physically effective NDF (
      • Zhang S.Z.
      • Penner G.B.
      • Abdelqader M.
      • Oba M.
      Effects of feeding alfalfa hay on chewing, rumen pH, and milk fat concentration of dairy cows fed wheat dried distillers grains with solubles as a partial substitute for barley silage.
      ;
      • Naderi N.
      • Ghorbani G.R.
      • Sadeghi-Sefidmazgi A.
      • Nasrollahi S.M.
      • Beauchemin K.A.
      Shredded beet pulp substituted for corn silage in diets fed to dairy cows under ambient heat stress: Feed intake, total-tract digestibility, plasma metabolites, and milk production.
      ).
      Digestibility and indigestibility of NDF affect feeding and rumination behavior, ruminal fill, DMI, and milk production (
      • Mertens D.R.
      Using uNDF to predict dairy cow performance and design rations.
      ).
      • Oba M.
      • Allen M.S.
      Evaluation of the importance of NDF digestibility: Effects on dry matter intake and milk yield of dairy cows.
      indicated that NDFD was positively related to intake and milk production; on average, a 1-percentage-unit increase in in vitro NDFD (incubation times from 24 to 48 h) was associated with a 0.17 kg/d increase in DMI and a 0.25 kg/d increase in 4% FCM. Recent studies have shown that total-tract NDFD and performance of dairy cows (
      • Fustini M.
      • Palmonari A.
      • Canestrari G.
      • Bonfante E.
      • Mammi L.
      • Pacchioli M.T.
      • Sniffen G.C.J.
      • Grant R.J.
      • Cotanch K.W.
      • Formigoni A.
      Effect of undigested neutral detergent fiber content of alfalfa hay on lactating dairy cows: Feeding behavior, fiber digestibility, and lactation performance.
      ) can be accurately predicted from in vitro or in situ estimates of NDFD (
      • Lopes F.
      • Cook D.E.
      • Combs D.K.
      Effects of varying ratios of corn silage to alfalfa silage on digestion of neutral detergent fiber in lactating dairy cows.
      ). The undigested NDF pool after 30-h incubation (uNDF30) has been related to total mean retention time and gut fill (
      • West J.W.
      • Hill G.M.
      • Gates R.N.
      • Mullinix B.G.
      Effects of dietary forage source and amount of forage addition on intake, milk yield, and digestion for lactating dairy cows.
      ), fiber digestibility (
      • Oba M.
      • Allen M.S.
      Evaluation of the importance of NDF digestibility: Effects on dry matter intake and milk yield of dairy cows.
      ), and intake potential (
      • Nair J.
      • Yu Christensen D.P.
      • Beettie A.D.
      • McAllister T.
      • Damiran D.
      • Preston N.
      • Fuhr L.
      • McKinnon J.J.
      A nutritional evaluation of common barley varieties grown for silage by beef and dairy producers in western Canada.
      ).
      Previous research has shown that WS, CS, AH, and BP differ widely in content of uNDF (at 30, 240, and 288 h of incubation), NDFD, and slowly and rapidly digestible NDF fractions (
      • Fustini M.
      • Palmonari A.
      • Canestrari G.
      • Bonfante E.
      • Mammi L.
      • Pacchioli M.T.
      • Sniffen G.C.J.
      • Grant R.J.
      • Cotanch K.W.
      • Formigoni A.
      Effect of undigested neutral detergent fiber content of alfalfa hay on lactating dairy cows: Feeding behavior, fiber digestibility, and lactation performance.
      ;
      • Raffrenato E.
      • Nicholson C.F.
      • Van Amburgh M.E.
      Development of a mathematical model to predict pool sizes and rates of digestion of 2 pools of digestible neutral detergent fiber and an undigested neutral detergent fiber fraction within various forages.
      ). Regardless of NDF content, the NDF fraction of CS typically contains a higher proportion of potentially digestible NDF (pdNDF; calculated as NDF − uNDF240 or uNDF280) than does alfalfa NDF, but pdNDF of AH typically digests faster than that of CS (
      • Van Soest P.J.
      Nutritional Ecology of the Ruminant.
      ). In contrast, WS contains a low amount of pdNDF with a slow rate of digestion (
      • Raffrenato E.
      • Nicholson C.F.
      • Van Amburgh M.E.
      Development of a mathematical model to predict pool sizes and rates of digestion of 2 pools of digestible neutral detergent fiber and an undigested neutral detergent fiber fraction within various forages.
      ), and BP contains a high level of pdNDF with a rapid rate of digestion (
      • Hoffman P.
      • Combs D.K.
      Using NDF digestibility in ration formulation.
      ;
      • Krizsan S.J.
      • Huhtanen P.
      Effect of diet composition and incubation time on feed indigestible neutral detergent fiber concentration in dairy cows.
      ). Therefore, formulating dairy diets on the basis of NDF concentration alone will result in variable concentrations of digestible and undigestible NDF fractions and rates of availability in the rumen. It is not clear what effect these fractions may have on milk production of high-producing dairy cows.
      We hypothesized that replacing conventional forage sources (CS and AH) with WS in diets fed to high-producing dairy cows would result in similar milk production if diets were formulated to contain similar contents of uNDF30 and NDFD after 30-h incubation (NDFD30) while maintaining constant NEL and CP contents. Therefore, the study evaluated the effect of feeding diets formulated to supply similar concentrations of uNDF30 to lactating dairy cows, with WS substituted for CS, AH, or both. Beet pulp was incorporated into diets to obtain a similar concentration of NDFD30 across all diets. Effects on feed intake, ruminal fermentation, digestibility, blood metabolites, and milk production were measured.

      MATERIALS AND METHODS

      The experiment consisted of an in vivo study in which treatments were based on results from an in situ study that measured NDFD. Both studies were conducted at the Lavark Research Station (Isfahan University of Technology, Isfahan, Iran). Animals were cared for according to the guidelines of the
      • Iranian Council of Animal Care
      Guide to the Care and Use of Experimental Animals. Vol. 1.
      , and the experiment was approved by the Institutional Animal Care Committee for Animals Used in Research.

      Forage Preparation

      Alfalfa was harvested from a single field at an advanced stage of maturity (~50% bloom), field cured, baled, and chopped (Golchin Trasher Hay Co., Isfahan, Iran) to a 15-mm theoretical length of cut. Corn silage was harvested from a single field using a pull-type chopper (model 965, Claas, Omaha, NE) set to produce particles with an average theoretical chop length of 25 to 30 mm. Whole wheat plants were threshed to separate cereal grains from straw, and the straw was then chopped finely using a theoretical chop length setting of 10 mm (Golchin Trasher Hay Co.). The WS was reconstituted 24 h before feeding and before in situ measurements by placing the required amount of dry WS into a large container and slowly adding water during mixing to achieve a theoretical DM content of 25%. The reconstituted WS was transferred to airtight containers.

      In Vivo Study: Animals and Experimental Design

      Thirty-two multiparous high-producing Holstein cows (BW = 642 ± 50; DIM = 78 ± 11 d; 56 ± 6 kg of milk/d at the start of the study; mean ± SD) were used in a randomized complete block design with 4 treatments (control and 3 diets that contained WS). The cows were assigned to 2 groups (blocks) that were run consecutively due to stall availability. The experiment consisted of a 10-d covariate period, 2 wk of adaptation to the treatment diets, and 4 wk of data collection. Cows were housed in individual pens (4 × 4 m) within a roofed facility with open sides, and clean wood shavings and sand were used for bedding and refreshed daily. Treatment arrangement was based on the amount of uNDF30 in forages (Table 1) as measured using an in situ method, as follows.
      Table 1Mean (SD in parentheses) nutrient composition (% of DM unless otherwise stated) and particle size of forages and beet pulp
      ItemBeet pulpWheat strawCorn silageAlfalfa hay
      Nutrient composition
       DM, % as fed90.2 (0.52)93.0 (0.48)26.2 (1.05)95.0 (0.82)
       OM92.5 (0.18)90.9 (0.93)93.6 (0.08)88.5 (0.09)
       CP10.3 (0.17)2.6 (0.21)7.7 (0.12)13.3 (0.15)
       Ether extract0.63 (0.07)1.37 (0.10)2.47 (0.27)1.38 (0.07)
       NDF35.1 (0.06)82.0 (0.05)53.8 (0.04)52.0 (0.02)
       NFC
      Calculated as 100 − (% NDF + % CP + % fat + % ash).
      46.5 (0.35)4.9 (0.25)29.6 (0.74)21.8 (0.43)
       Starch1.37 (0.40)0.405 (0.06)23.57 (1.92)1.12 (0.16)
       Water-soluble carbohydrate18.56 (1.40)1.03 (0.12)1.07 (0.19)3.62 (0.62)
       Lignin2.06 (0.50)8.40 (0.20)3.90 (0.30)9.50 (0.73)
       uNDF30
      uNDF30, uNDF240, and uNDF288 are NDF residues after 30-, 240-, and 288-h in situ incubation, respectively.
      7.7 (3.56)62.4 (3.65)37.3 (3.70)32.0 (0.99)
       NDFD30,
      In situ NDF digestibility after 30-h in situ incubation.
      % of NDF
      78.2 (3.55)25.9 (2.45)30.9 (4.33)38.6 (1.92)
       uNDF240
      uNDF30, uNDF240, and uNDF288 are NDF residues after 30-, 240-, and 288-h in situ incubation, respectively.
      2.82 (0.41)27.4 (0.89)12.9 (0.67)27.4 (0.62)
       uNDF288
      uNDF30, uNDF240, and uNDF288 are NDF residues after 30-, 240-, and 288-h in situ incubation, respectively.
      2.81 (0.39)26.6 (0.87)12.8 (0.68)27.2 (0.57)
       pdNDF288,
      Potentially digestible NDF after 288-h in situ incubation.
      % of NDF
      92.0 (1.12)67.6 (1.06)76.2 (1.27)47.8 (1.10)
       pdNDF288 kd,
      Potentially digestible NDF fraction digestion rate calculated from TTNDFD model.
      %/h
      7.24 (0.04)1.69 (0.07)2.08 (0.06)4.59 (0.06)
       TTNDFD,
      Predicted total-tract NDF digestibility using in situ TTNDFD model (Lopes et al., 2015b).
      % of total NDF
      74.7 (0.19)29.1 (0.31)37.1 (0.31)33.6 (0.45)
      Particle size, mm
       >190.75 (0.06)1.00 (0.00)18.3 (3.30)2.00 (0.00)
       8–1965.93 (3.00)56.0 (2.24)56.8 (2.06)33.0 (1.41)
       1.18–833.32 (3.6)37.2 (1.64)24.0 (1.41)43.3 (0.50)
       <1.180.00 (0)6.20 (1.10)0.97 (0.06)21.8 (1.26)
       GMPL
      Geometric mean of particle size.
      8.38 (0.35)6.70 (0.28)10.6 (0.67)4.12 (0.16)
      1 Calculated as 100 − (% NDF + % CP + % fat + % ash).
      2 uNDF30, uNDF240, and uNDF288 are NDF residues after 30-, 240-, and 288-h in situ incubation, respectively.
      3 In situ NDF digestibility after 30-h in situ incubation.
      4 Potentially digestible NDF after 288-h in situ incubation.
      5 Potentially digestible NDF fraction digestion rate calculated from TTNDFD model.
      6 Predicted total-tract NDF digestibility using in situ TTNDFD model (
      • Lopes F.
      • Ruh K.
      • Combs D.K.
      Validation of an approach to predict total-tract fiber digestibility using a standardized in vitro technique for different diets fed to high-producing cows.
      ).
      7 Geometric mean of particle size.

      In Situ Study

      An in situ study was conducted to measure uNDF and NDFD in forages, BP, and final TMR according to the method described by
      • Bender R.W.
      • Cook D.E.
      • Combs D.K.
      Comparison of in situ versus in vitro methods of fiber digestion at 120 and 288 hours to quantify the indigestible neutral detergent fiber fraction of corn silage samples.
      and
      • Donnelly D.M.
      • de Resende L.C.
      • Cook D.E.
      • Atalla R.H.
      • Combs D.K.
      Technical note: A comparison of alkali treatment methods to improve neutral detergent fiber digestibility of corn stover.
      ; Table 1). Two ruminally cannulated, nonlactating Holstein dairy cows were fed a high-forage TMR diet (25% AH, 25% CS, 25% WS, 4.2% BP, 20.8% concentrate mix; DM basis) as recommended by
      • Krizsan S.J.
      • Huhtanen P.
      Effect of diet composition and incubation time on feed indigestible neutral detergent fiber concentration in dairy cows.
      . Dried samples were ground to pass the 1-mm screen of a Wiley mill (Arthur H. Thomas, Philadelphia, PA), and 0.5 g of each sample was weighed into an Ankom F57 bag (Ankom Technology, Macedon, NY) with a pore size of 25 μm (
      • Bender R.W.
      • Cook D.E.
      • Combs D.K.
      Comparison of in situ versus in vitro methods of fiber digestion at 120 and 288 hours to quantify the indigestible neutral detergent fiber fraction of corn silage samples.
      ). This particular type of bag was selected so that digestibility estimates would be comparable with previous reports (
      • Bender R.W.
      • Cook D.E.
      • Combs D.K.
      Comparison of in situ versus in vitro methods of fiber digestion at 120 and 288 hours to quantify the indigestible neutral detergent fiber fraction of corn silage samples.
      ;
      • Su H.
      • Akins M.S.
      • Esser N.M.
      • Ogden R.
      • Coblentz W.K.
      • Kalscheur K.F.
      • Hatfield R.
      Effects of feeding alfalfa stemlage or wheat straw for dietary energy dilution on nutrient intake and digestibility, growth performance, and feeding behavior of Holstein dairy heifers.
      ;
      • Donnelly D.M.
      • de Resende L.C.
      • Cook D.E.
      • Atalla R.H.
      • Combs D.K.
      Technical note: A comparison of alkali treatment methods to improve neutral detergent fiber digestibility of corn stover.
      ). Samples were incubated in the rumen for 30, 240, and 288 h in triplicate along with 3 blank bags for each time point. Blanks were sealed Ankom bags containing 0 g of sample to correct for infiltration of NDF into the sample bags. After removal, samples were soaked in cold water and then washed twice in a commercial washing machine (1,350 rpm; model XQB 22-21GP, Pakshoma, Karaj, Iran) with cold water for 12 min to ensure that no residue adhered to the bag. This procedure was then duplicated in a second run. The equation for correcting for blanks in the calculation of NDF residue at each time point was as follows (
      • Bender R.W.
      • Cook D.E.
      • Combs D.K.
      Comparison of in situ versus in vitro methods of fiber digestion at 120 and 288 hours to quantify the indigestible neutral detergent fiber fraction of corn silage samples.
      ):
      NDF residue (g/g of DM) = [(bag weight + residue) − (bag weight × bag correction factor)]/[(bag weight + sample) − bag weight].


      The bag correction factor represents the average fractional weight change of 3 Ankom blank bags following the NDF washing procedure. The uNDF30, uNDF240, and uNDF288 were the NDF residues after 30-, 240-, and 288-h incubations, respectively. The value for NDFD at each time point was calculated as
      NDFD (% of NDF) = 100 × (initial NDF − NDF residue)/initial NDF.


      The pdNDF fraction (pdNDF288) was calculated as NDF − uNDF288, and total-tract NDFD was predicted using the model of
      • Lopes F.
      • Ruh K.
      • Combs D.K.
      Validation of an approach to predict total-tract fiber digestibility using a standardized in vitro technique for different diets fed to high-producing cows.
      . The model inputs were pdNDF288, its rate of degradation, and its rate of passage. The rate of passage was predicted from a regression model (
      • Krizsan S.J.
      • Ahvenjarvi S.
      • Huhtanen P.
      A meta-analysis of passage rate estimated by rumen evacuation with cattle and evaluation of passage rate prediction models.
      ) that accounts for the selective retention of pdNDF288 (
      • Lund P.
      • Weisbjerg M.R.
      • Hvelplund T.
      Digestible NDF is selectively retained in the rumen of dairy cows compared to indigestible NDF.
      ), determined using the flux–compartment pool method of
      • Ellis W.C.
      • Matis J.H.
      • Hill T.M.
      • Murphy M.R.
      Methodology for estimating digestion and passage kinetics of forages.
      . In the total-tract NDFD model, the predicted value is indexed to a 630-kg dairy cow consuming 23.4 kg of DM/d of a diet containing 30% NDF. This index sets the rate of passage of pdNDF288 at 2.67%/h (
      • Lund P.
      • Weisbjerg M.R.
      • Hvelplund T.
      Digestible NDF is selectively retained in the rumen of dairy cows compared to indigestible NDF.
      ;
      • Krizsan S.J.
      • Ahvenjarvi S.
      • Huhtanen P.
      A meta-analysis of passage rate estimated by rumen evacuation with cattle and evaluation of passage rate prediction models.
      ). Hindgut digestion of NDF was assumed to be 10% of total NDF digestion, which was similar to the estimate of hindgut NDF digestion in the Cornell Net Carbohydrate and Protein System Model (
      • Fox D.G.
      • Tedeschi L.O.
      • Tylutki T.P.
      • Russell J.B.
      • Van Amburgh M.E.
      • Chase L.E.
      • Pell A.N.
      • Overton T.R.
      The Cornell Net Carbohydrate and Protein System model for evaluating herd nutrition and nutrient excretion.
      ). The rate of pdNDF288 degradation was determined using 9 time points (6, 12, 24, 30, 36, 48, 72, 96, and 120 h). Natural logs of the pdNDF288 residue percentages were calculated, and log-residue values less than −3 were considered invalid results and hence were discarded (
      • Bender R.W.
      • Cook D.E.
      • Combs D.K.
      Comparison of in situ versus in vitro methods of fiber digestion at 120 and 288 hours to quantify the indigestible neutral detergent fiber fraction of corn silage samples.
      ). The discarded time points were 48, 72, 96, and 120 h for BP and 72, 96, and 120 h for AH. A linear regression model was then fit to the natural log residual values versus time, and the inverse natural log of the rate of degradation was determined as the slope of the regression (
      • Donnelly D.M.
      • de Resende L.C.
      • Cook D.E.
      • Atalla R.H.
      • Combs D.K.
      Technical note: A comparison of alkali treatment methods to improve neutral detergent fiber digestibility of corn stover.
      ).

      In Vivo Study Treatments

      A control diet was formulated to contain CS and AH as forage sources (CSAH; Table 2) and supplied 13.9% of DM as forage uNDF30 (Table 3). Three treatment diets were formulated to contain 13.9% of DM as forage uNDF30 using WS substituted for AH (WSCS), CS (WSAH), or both (WSCSAH; Table 1). Pelleted BP was incorporated into the diets so that all 4 contained similar NDFD30 content (~44.5% of NDF; Table 3). The diets were formulated using the Cornell Net Carbohydrate and Protein System Model (version 5.0;
      • Fox D.G.
      • Tylutki T.P.
      • Czymmek K.J.
      • Rasmussen C.N.
      • Durbal V.M.
      Development and application of the Cornell University nutrient management planning system.
      ; Table 1). The protein and energy supplements were adjusted to ensure that diets were similar in CP and NEL contents, but the amounts of NDF, forage NDF, and uNDF288 were allowed to change (Table 2). Feed was supplied twice daily at 1000 and 1800 h in amounts that allowed 10% refusals. Diets were manually mixed and weighed into each cow's feed trough, and refusals were manually removed daily and weighed.
      Table 2Ingredient composition of the dietary treatments (values in parentheses are % of forage undigested NDF after 30 h of incubation)
      Item, % of DMCovariateDiet
      Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.
      CSAHWSCSWSAHWSCSAH
      Wheat straw0.00.0 (0)9.04 (40)9.04 (40)9.04 (40)
      Corn silage2122.0 (59)22.0 (59)6.80 (19)14.4 (39)
      Alfalfa hay1318.0 (41)0.40 (1)18.0 (41)9.20 (21)
      Beet pulp82.008.404.646.56
      Barley grain, ground1516.016.016.016.0
      Corn grain, ground2020.020.020.020.0
      Meat meal03.803.803.803.80
      Soybean meal811.112.414.113.4
      Soybean, extruded32.002.002.002.00
      Canola meal30.441.160.120.32
      Cottonseed30000
      Fish meal1.60000
      Energy booster1.51.841.562.722.24
      Sodium bicarbonate1.11.001.001.001.00
      Calcium carbonate0.50.520.680.480.64
      Dicalcium phosphate0.10.080.160.080.16
      Magnesium oxide0.20.160.240.160.20
      Vitamin-mineral mix
      Contained 2.5 g/kg Fe, 1.6 g/kg Cu, 3 g/kg Mn, 0.1 g/kg Co, 20 g/kg Mg, 5 g/kg Zn, 0.04 g/kg Se, 0.10 g/kg I, 3 g/kg monensin, 50 g/kg Mycosorb (Vetaque, Sirjan, Iran), 10,000,000 IU/kg vitamin A, 250,000 IU/kg vitamin D, and 5,000 IU/kg vitamin E.
      0.70.800.800.800.80
      Salt0.30.200.240.200.20
      1 Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.
      2 Contained 2.5 g/kg Fe, 1.6 g/kg Cu, 3 g/kg Mn, 0.1 g/kg Co, 20 g/kg Mg, 5 g/kg Zn, 0.04 g/kg Se, 0.10 g/kg I, 3 g/kg monensin, 50 g/kg Mycosorb (Vetaque, Sirjan, Iran), 10,000,000 IU/kg vitamin A, 250,000 IU/kg vitamin D, and 5,000 IU/kg vitamin E.
      Table 3Mean (SD in parentheses) nutrient composition (% of DM unless otherwise stated) and particle size of dietary treatments
      ItemCovariateDiet
      Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.
      CSAHWSCSWSAHWSCSAH
      Nutrient composition
       DM, % as fed55.5 (2.5)42.6 (2.0)42.6 (1.2)41.4 (2.2)40.0 (1.5)
       OM91.1 (0.15)91.2 (0.1)91.2 (0.1)90.7 (0.1)91.1 (0.0)
       CP15.9 (0.5)16.3 (0.4)15.9 (0.3)16.9 (0.5)16.4 (0.3)
       NDF31.8 (0.6)30.0 (0.4)30.9 (0.6)31.3 (0.4)31.1 (0.5)
       Ether extract4.80 (0.2)4.9 (0.2)4.7 (0.2)5.6 (0.1)5.1 (0.2)
       NFC
      Calculated as 100 − (% NDF + % CP + % fat + % ash).
      38.6 (1.1)39.9 (0.8)39.7 (0.9)37.8 (1.2)38.4 (1.1)
       Starch28.2 (1.35)29.1 (1.40)28.9 (1.12)25.9 (1.32)27.3 (1.20)
       Water-soluble carbohydrate4.1 (0.48)3.14 (0.47)3.9 (0.52)3.65 (0.45)3.75 (0.40)
       Lignin1.93 (0.1)2.1 (0.1)1.8 (0.1)2.2 (0.4)2.0 (0.3)
       Forage NDF19.0 (0.3)21.2 (0.2)19.5 (0.2)20.4 (0.3)19.9 (0.01)
       NEL,
      Based on tabular values (Fox et al., 2000).
      Mcal/kg of DM
      1.701.651.661.651.65
       Forage uNDF30, % of DM12.3 (0.5)13.9 (0.6)13.9 (0.6)13.9 (0.3)13.9 (0.4)
       uNDF30
      uNDF30, uNDF240, and uNDF288 are NDF residues after 30-, 240-, and 288-h in situ incubation, respectively.
      17.8 (1.5)16.9 (0.7)16.9 (1.3)17.5 (1.4)17.0 (1.4)
       NDFD30,
      In situ NDF digestibility after 30-h in situ incubation.
      % of NDF
      49.9 (3.2)43.7 (2.4)45.1 (3.5)43.7 (3.4)45.3 (3.5)
       uNDF240
      uNDF30, uNDF240, and uNDF288 are NDF residues after 30-, 240-, and 288-h in situ incubation, respectively.
      8.0 (0.5)9.52 (0.5)8.31 (0.4)10.9 (0.4)9.02 (0.4)
       uNDF288
      uNDF30, uNDF240, and uNDF288 are NDF residues after 30-, 240-, and 288-h in situ incubation, respectively.
      7.76 (0.5)9.4 (0.5)8.1 (0.4)10.8 (0.3)8.9 (0.3)
       pdNDF288,
      Potentially digestible NDF after 288-h in situ incubation.
      % of NDF
      75.2 (2.5)68 (2.3)73 (2.1)65 (1.6)71 (2.4)
      Particle size, mm
       >196.0 (0.8)5.0 (0.8)5.6 (0.8)1.5 (0.3)3.8 (0.6)
       8–1918.4 (1.2)23.6 (0.6)29.0 (1.9)22.3 (1.6)26.3 (2.0)
       1.18–843.1 (2.5)56.1 (2.1)49.9 (2.2)62.4 (2.1)59.0 (3.2)
       <1.1830.8 (2.8)15.0 (0.2)15.0 (2.9)13.6 (2.7)10.8 (2.0)
       GMPL
      Geometric mean of particle size.
      4.18 (0.2)4.3 (0.1)4.6 (0.1)4.0 (0.1)4.6 (0.3)
      1 Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.
      2 Calculated as 100 − (% NDF + % CP + % fat + % ash).
      3 Based on tabular values (
      • Fox D.G.
      • Tylutki T.P.
      • Czymmek K.J.
      • Rasmussen C.N.
      • Durbal V.M.
      Development and application of the Cornell University nutrient management planning system.
      ).
      4 uNDF30, uNDF240, and uNDF288 are NDF residues after 30-, 240-, and 288-h in situ incubation, respectively.
      5 In situ NDF digestibility after 30-h in situ incubation.
      6 Potentially digestible NDF after 288-h in situ incubation.
      7 Geometric mean of particle size.

      Intake, Digestibility, and Analyses

      The TMR amounts offered and refused were measured and sampled daily for each cow for 5 d each week of the data collection period, and daily DMI for each cow was calculated. Representative samples of forages (for each forage, weekly samples were pooled for the study), treatment TMR (pooled by diet within week), and individual refusals (pooled by cow within week) were taken immediately before the morning feeding during the 4-wk collection period. All samples were immediately frozen at −20°C until they were analyzed.
      After thawing, the DM concentration of forages, TMR, and refusal samples was determined by drying at 60°C in a forced-air oven for 48 h. All samples were ground to pass the 1-mm screen of a Wiley mill (Arthur H. Thomas, Philadelphia, PA) and analyzed for CP using the Kjeldahl method (Kjeltec 1030 Auto Analyzer, Tecator, Höganäs, Sweden;
      • AOAC International
      Official Methods of Analysis.
      , method 955.04), ether extract (
      • AOAC International
      Official Methods of Analysis.
      , method 920.39), ash (
      • AOAC International
      Official Methods of Analysis.
      , method 942.05), and NDF using heat-stable α-amylase and sodium sulfite with an Ankom system (
      • Van Soest P.J.
      • Robertson J.B.
      • Lewis B.A.
      Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition.
      ). The samples of forages, BP, and TMR were also analyzed for the amount of starch (
      • Zhu L.
      • Jones C.
      • Guo Q.
      • Lewis L.
      • Stark C.R.
      • Alavi S.
      An evaluation of total starch and starch gelatinization methodologies in pelleted animal feed.
      ) and water-soluble carbohydrate (
      • Dubois M.
      • Gilles K.A.
      • Hamilton J.K.
      • Rebes P.A.
      • Smith F.
      Colorimetric method for determination of sugars and related substances.
      ). Starch was hydrolyzed to glucose using a modified glucoamylase method as described by
      • Zhu L.
      • Jones C.
      • Guo Q.
      • Lewis L.
      • Stark C.R.
      • Alavi S.
      An evaluation of total starch and starch gelatinization methodologies in pelleted animal feed.
      , and glucose concentration was analyzed using an enzymatic-colorimetric method. Concentrations of water-soluble carbohydrate were quantified using the phenol-sulfuric acid reaction, and final concentrations of water-soluble carbohydrate were determined colorimetrically using glucose as the standard curve (
      • Dubois M.
      • Gilles K.A.
      • Hamilton J.K.
      • Rebes P.A.
      • Smith F.
      Colorimetric method for determination of sugars and related substances.
      ). Acid detergent lignin was determined using
      • AOAC International
      Official Methods of Analysis.
      method 973.18, modified to use 1.0 g/sample in Ankom F57 bags (Ankom Technology). Nonfiber carbohydrate was calculated as 100 – (CP + NDF + ether extract + ash). Forage, BP, and TMR samples were used to determine particle size distribution on an as-fed basis, in triplicate, using the Penn State Particle Separator equipped with 3 sieves (19, 8, and 1.18 mm) and a bottom pan (
      • Kononoff P.J.
      The effect of ration particle size on dairy cows in early lactation. PhD Thesis.
      ). The geometric mean particle length (GMPL) was calculated according to
      • ANSI (American National Standards Institute)
      Method of determining and expressing fineness of feed material by sieving.
      ; method S424.1).
      A fecal sample was collected from the rectum of each cow at 0030, 0830, and 1630 h on the first and second days of the final week of the experiment (6 samples/cow) to represent a 24-h feeding cycle. Fecal samples were composited by period and analyzed for nutrient content as described to calculate apparent total-tract digestibilities using dietary uNDF288 as an internal marker.

      Ruminal pH

      On the final day of the experiment, ruminal fluid (~3 mL) was sampled approximately 4 h after the morning feeding from the ventral sac via rumenocentesis, the technique developed by
      • Nordlund K.V.
      • Garrett E.F.
      Rumenocentesis: A technique for the diagnosis of subacute rumen acidosis in dairy herds.
      . The pH of the ruminal fluid was immediately determined using a portable digital pH meter (HI 8318, Hanna Instruments, Cluj-Napoca, Romania).

      Blood Sampling and Analyses

      On d 3 of wk 3 of sampling, blood samples (7 mL) were collected 4 h after the morning feeding via the coccygeal vein using an evacuated tube without anticoagulant. Blood samples were placed on ice immediately after collection and centrifuged at 3,000 × g for 15 min at 4°C. Serum samples were separated and stored in plastic tubes frozen at −10°C until analysis. The concentrations of serum glucose (glucose oxidase-phenol 4-aminoantipyrine peroxidase method, kit no. 96004), cholesterol (cholesterol oxidase-phenol 4-aminoantipyrine peroxidase method, kit no. 96003), BUN (Berthelot method, kit no. 96003), total protein (Biuret method, kit no. 96004), albumin (bromocresol green method, kit no. 96003), aspartate aminotransferase (IFCC method, kit no. 96004), and alkaline phosphatase (DGKC method, kit no. 96004) were measured using an autoanalyzer (Abbott Alcyon 300, Abbott Laboratories, Chicago, IL) and commercial kits (Pars Azmoon Co., Tehran, Iran) according to the manufacturer's instructions. The analyzer was calibrated and controls were assayed daily according to the manufacturer's instructions to ensure acceptable assay performance. Serum BHB (kit no. 441054, Randox Laboratories Ltd., Ardmore, UK), nonesterified fatty acids (kit no. 427888, Randox Laboratories Ltd.), and total antioxidant capacity (kit no. NX2332, Randox Laboratories Ltd.) were determined by commercial colorimetric kits using the same autoanalyzer. The concentration of serum malondialdehyde was determined using the thiobarbituric acid reacting substances method, in which the absorbance of a colored complex that is formed from the reaction of malondialdehyde with 2-thiobarbituric acid in an acid environment is measured at 532 nm (
      • Wullepit N.
      • Hostens M.
      • Ginneberge C.
      • Fievez V.
      • Opsomer G.
      • Fremaut D.
      • DeSmet S.
      Influence of a marine algae supplementation on the oxidative status of plasma in dairy cows during the periparturient period.
      ). Globulin concentrations were calculated by subtracting albumin concentrations from total protein.

      Milk Yield and Components, BW, BCS, and Back Fat Thickness

      Cows were milked 3 times daily at 0100, 0900, and 1700 h in a herringbone milking parlor. Milk yield for all cows was recorded and sampled at each milking during the final 5 d of each sampling week of the study. Milk samples were preserved with potassium dichromate, stored at 4°C, and submitted to the Isfahan University of Technology Central Milk Testing Laboratory (Isfahan, Iran) for fat, true protein, and lactose analyses using an infrared analyzer (MilkoScan 134 BN, Foss Electric, Hillerød, Denmark;
      • AOAC International
      Official Methods of Analysis.
      , method 972.16). The yields of 3.5% FCM and ECM were calculated according to the following
      • National Research Council
      Nutrient Requirements of Dairy Cattle.
      equations:
      FCM = 0.432 × milk yield + 16.23 × fat yield;


      ECM = 12.82 × fat yield + 7.13 × protein yield + 0.323 × milk yield.


      The MUN content was determined by enzymatic assay (
      • Wilson R.C.
      • Overton T.R.
      • Clark J.H.
      Effects of Yucca shidigera extract and soluble protein on performance of cows and concentrations of urea nitrogen in plasma and milk.
      ). Milk was centrifuged at 1,200 × g for 15 min at 4°C, the fat was removed, and the defatted milk was thoroughly mixed and deproteinized by mixing 0.2 mL of defatted milk with 1.8 mL of cold 3% trichloracetic acid with a blender and allowing the mixture to stand for 5 min. The samples were then centrifuged at 1,200 × g for 5 min at 20°C, and 0.2 mL of the supernatant was analyzed for MUN using a colorimetric diacetyl monoxine procedure.
      At the beginning (d 0) and end of the 6-wk experimental period, cows were weighed and BCS was determined using a 5-point scale where 1 = emaciated and 5 = obese (
      • Ferguson J.D.
      • Galligan D.T.
      • Thomsen N.
      Principal descriptors of body condition score in Holstein cows.
      ). Also, at the beginning (d 5 of wk 1) and end of the 6-wk experimental period, back fat thickness was measured according to
      • Schröder U.J.
      • Staufenbiel R.
      Invited review: Methods to determine body fat reserves in the dairy cow with special regard to ultrasonographic measurement of back fat thickness.
      using a portable B-mode ultrasound generator (SonoVet 600V, BCF Technology Ltd., West Lothian, Scotland) with a linear transducer and frequency between 5.0 and 6.5 MHz. All the measurements at the beginning were considered as covariates for the measurement at the end of the experiment.

      Statistical Analyses

      Data were analyzed as a randomized complete block (group) design with covariate using the MIXED procedure of SAS (version 9.0, SAS Institute Inc., Cary, NC). The model included block, treatment, week, and interaction of treatment and week as fixed effects and cow within treatment as a random effect. The corresponding value of the dependent variable from the covariate period was considered as a covariate (when available). When week of treatment was included as a repeated measure, compound symmetry structure was used to account for autocorrelated errors. Five covariance structures were tested (compound symmetry, compound symmetry with heterogeneous variance, autoregressive order 1, autoregressive order 1 with heterogeneous variance, and antedependence 1) to select the structure with the lowest Akaike information criterion. For the variables without repeated measures during the study, week and its interaction with treatment were removed from the model. Means were determined using the least squares means statement, and treatment means were compared using the Bonferroni t-test option after a significant (P ≤ 0.05) overall treatment F-test. Treatment differences were declared significant at P ≤ 0.05, and tendencies were discussed at 0.05 < P < 0.10.

      RESULTS

      Forages and Diets

      The nutrient composition, in situ NDFD, and particle size distribution of the fiber sources are presented in Table 1. The uNDF30 contents (% of DM) of the fiber sources were as follows : AH, 32.0; CS, 37.3; WS, 62.4; and BP, 7.7. The NDFD30 contents (% of NDF) were 38.6, 30.9, 25.9, and 78.2, respectively. The concentration of uNDF288 was not consistent with the ranking of the fiber sources for uNDF30; it was greatest for AH (27.2% of DM) and WS (26.6% of DM), followed by CS (12.8% of DM) and then BP (2.8% of DM).
      The finely chopped WS had a very small (1%) proportion of particles >19 mm; the greatest proportion (56%) of WS was retained on the 8-mm sieve, resulting in a GMPL of 6.70 mm. In contrast, a large portion of CS material was retained on the 19-mm (18.3%) and 8-mm (56.8%) sieves, resulting in a GMPL of 10.6 mm. Alfalfa hay had the lowest GMPL (4.12 mm), and most of the material was collected on the 1.18-mm (43.3%) and 8-mm (33.0%) sieves.
      As planned, all diets had similar forage uNDF30 (13.9% of DM) and forage NDF contents (~20% of DM; Table 3). The diet formulations also resulted in relatively similar dietary uNDF30 (~17% of DM) and NDFD30 (~44% of NDF) contents. The uNDF288 was 9.4, 8.1, 10.8, and 8.9% of DM for CSAH, WSCS, WSAH, and WSCSAH, respectively, and ADL varied minimally from 1.8 to 2.2% of DM. The contents of pdNDF, starch, and NFC were marginally lower in WSAH than in other diets. The WSAH diet had the lowest proportion of particles that were >19 mm and 8 to 19 mm and the greatest proportion of particles that were 1.18 to 18 mm, whereas the other TMR were fairly similar in particle size distribution.

      Intake, Milk Production, Feed Efficiency, and BW Change

      Intake of DM was greater (P < 0.01) for WSCS (27.8 kg/d) than for CSAH (25.7 kg/d), WSCSAH (25.2 kg/d), and WSAH (24.2 kg/d; Table 4). Consequently, NDF intake was greatest for WSCS (P = 0.02), whereas the other diets had similar NDF intakes (P > 0.10). The DMI of all diets increased over the study (week effect, P = 0.02) as shown in Figure 1, with differences among diets detected starting at wk 4 of feeding. Milk, 3.5% FCM, ECM, and component yields did not differ among the treatments (Table 4). However, protein concentration (P = 0.01) was lower for WSAH than for CSAH and WSCS, with WSCSAH being similar to all diets. Milk yield decreased over the study (week effect, P < 0.01) without significant differences among diets (Figure 2). The MUN content was greater (P < 0.01) for WSAH (20.0 mg/dL) compared with the other diets (mean = 16.2 mg/dL). Efficiency of milk production (milk yield/DMI) and 3.5% FCM (3.5% FCM/DMI) were lowest for WSCS, intermediate for CSAH, and greatest for WSAH and WSCSAH (P < 0.05).
      Table 4Lactation performance and feed efficiency of dairy cows fed diets with similar concentrations of undigested NDF after 30 h of incubation from different forage sources
      ItemDiet
      Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.
      SEMP-value
      CSAHWSCSWSAHWSCSAHTreatmentWeekTreatment × week
      Intake, kg/d
       DM25.7
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      27.8
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      24.2
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      25.2
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      0.760.010.020.88
       NDF7.61
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      8.49
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      7.56
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      7.82
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      0.240.020.040.92
      Yield, kg/d
       Milk49.350.048.849.91.240.91<0.010.98
       3.5% FCM
      3.5% FCM (kg/d) = 0.432 × milk yield + 16.23 × fat yield; ECM (kg/d) = 12.82 × fat yield + 7.13 × protein yield + 0.323 × milk yield (NRC, 2001).
      44.545.843.944.81.340.78<0.010.85
       ECM
      3.5% FCM (kg/d) = 0.432 × milk yield + 16.23 × fat yield; ECM (kg/d) = 12.82 × fat yield + 7.13 × protein yield + 0.323 × milk yield (NRC, 2001).
      44.545.644.044.71.260.75<0.010.88
       Fat1.461.551.461.470.060.660.070.73
       Protein1.421.451.391.420.040.73<0.010.98
       Lactose2.122.172.062.140.090.72<0.010.53
      Milk composition, %
       Fat2.923.122.972.960.090.370.240.81
       Protein2.84
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      2.83
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      2.78
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      2.81
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      0.010.01<0.010.39
       Lactose4.514.534.444.520.070.740.540.37
      Fat/protein1.021.101.061.050.030.200.300.84
      MUN, mg/dL15.8
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      15.8
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      20.0
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      17.0
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1.13<0.01
      Efficiency, kg/kg
       Milk yield/DMI1.93
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1.80
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      2.03
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1.99
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      0.050.02<0.010.87
       3.5% FCM/DMI1.69
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1.64
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1.83
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1.79
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      0.050.04<0.010.72
      a,b Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1 Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.
      2 3.5% FCM (kg/d) = 0.432 × milk yield + 16.23 × fat yield; ECM (kg/d) = 12.82 × fat yield + 7.13 × protein yield + 0.323 × milk yield (
      • National Research Council
      Nutrient Requirements of Dairy Cattle.
      ).
      Figure thumbnail gr1
      Figure 1Least squares means of DMI by week for cows fed diets with similar concentrations of undigested NDF after 30 h of incubation (uNDF30) from forage sources. Experimental diets were combinations of different forage sources to achieve similar dietary uNDF30 concentrations (DM basis). Control = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH. For each treatment week, least squares means with different letters (a, b) differ significantly (P ≤ 0.05). Error bars indicate SEM.
      Figure thumbnail gr2
      Figure 2Least squares means of milk yield by week for cows fed diets with similar concentrations of undigested NDF after 30 h of incubation (uNDF30) from forage sources. Experimental diets were combinations of different forage sources to achieve similar dietary uNDF30 concentrations. Control = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH. Error bars indicate SEM.
      During the 6-wk experimental period, cows fed WSAH lost BW, whereas cows fed CSAH, WSCS, or WSCSAH gained BW (P = 0.04; Table 5). The BCS and back fat thickness were not affected by the dietary treatments (P > 0.10). Calculated energy balance was greater for WSCS (4.62 Mcal/d; P < 0.01) compared with the other treatments (CSAH = 2.11; WSAH = 0.24; WSCSAH = 1.07 Mcal/d).
      Table 5Body weight change, BCS, and back fat thickness of dairy cows fed diets with similar concentrations of undigested NDF after 30 h of incubation from different forage sources
      ItemDiet
      Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.
      SEMP-value
      CSAHWSCSWSAHWSCSAH
      BW change,
      Over a 6-wk period from wk 1 of adaptation to wk 4 of sampling.
      kg/period
      8.76
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      11.8
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      −13.5
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      2.88
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      6.740.04
      BCS
      Determined using a 5-point scale where 1 = emaciated and 5 = obese (Ferguson et al., 1994).
      2.712.802.682.880.110.38
      Back fat thickness
      Measured using ultrasonographic method (Schröder and Staufenbiel, 2006).
      26.630.328.1129.81.390.10
      NE balance,
      NE balance = (energy intake, Mcal of NEL) − [(maintenance energy, Mcal of NEL) + (milk energy, Mcal of NEL)] (NRC, 2001).
      Mcal/d
      2.11
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      4.62
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      0.24
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1.07
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1.09<0.01
      a,b Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1 Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.
      2 Over a 6-wk period from wk 1 of adaptation to wk 4 of sampling.
      3 Determined using a 5-point scale where 1 = emaciated and 5 = obese (
      • Ferguson J.D.
      • Galligan D.T.
      • Thomsen N.
      Principal descriptors of body condition score in Holstein cows.
      ).
      4 Measured using ultrasonographic method (
      • Schröder U.J.
      • Staufenbiel R.
      Invited review: Methods to determine body fat reserves in the dairy cow with special regard to ultrasonographic measurement of back fat thickness.
      ).
      5 NE balance = (energy intake, Mcal of NEL) − [(maintenance energy, Mcal of NEL) + (milk energy, Mcal of NEL)] (
      • National Research Council
      Nutrient Requirements of Dairy Cattle.
      ).

      Ruminal pH, Total-Tract Apparent Digestibility, and Blood Metabolites

      Ruminal pH was greater (P = 0.04) for WSCS than for CSAH, and WSAH and WSCSAH were similar to the other treatments (Table 6). Total-tract apparent digestibly of DM, OM, ether extract, and NFC did not differ among treatments, but total-tract NDFD was greater (P = 0.03) for WSCS and WSAH compared with CSAH, with WSCSAH being similar to all diets. Concentrations of BUN, glucose, cholesterol, high-density lipoprotein, nonesterified fatty acids, BHB, total protein, albumin, aspartate aminotransferase, alkaline phosphatase, total antioxidant capacity, malondialdehyde, Na, K, and Cl in blood were unaffected by dietary treatment (Supplemental Table S1, https://doi.org/10.3168/jds.2019-16869).
      Table 6Rumen pH and total-tract apparent digestibility in dairy cows fed diets with similar concentration of undigested NDF after 30 h of incubation from different forage sources
      ItemDiet
      Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.
      SEMP-value
      CSAHWSCSWSAHWSCSAH
      pH5.74
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      6.29
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      6.08
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      6.03
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      0.120.04
      Digestibility, %
       DM65.569.467.967.71.660.25
       OM68.872.470.970.71.560.28
       NDF38.9
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      49.4
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      46.6
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      43.8
      Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      3.050.03
       CP66.668.671.070.11.360.13
       Ether extract82.385.784.386.31.280.13
       NFC89.889.989.789.90.810.99
      a,b Least squares means within a row with different superscripts differ significantly (P ≤ 0.05).
      1 Experimental diets were combinations of different forage sources to achieve similar dietary concentrations of undigested NDF after 30 h of incubation. CSAH = 0% wheat straw (WS), 59% corn silage (CS), and 41% alfalfa hay (AH); WSCS = 40% WS, 59% CS, and 1% AH; WSAH = 40% WS, 41% AH, and 19% CS; WSCSAH = 40% WS, 39% CS, and 21% AH.

      DISCUSSION

      Incorporation of WS into the diet of high-producing dairy cows has been the subject of various studies (
      • Poore M.H.
      • Moore J.A.
      • Swingle R.S.
      • Eck T.P.
      • Brown W.H.
      Wheat straw or alfalfa hay in diets with 30% neutral detergent fiber for lactating Holstein cows.
      ;
      • Eastridge M.L.
      • Bucci P.B.
      • Ribeiro C.V.D.M.
      Feeding equivalent concentrations of forage neutral detergent fiber from alfalfa hay, grass hay, wheat straw, and whole cottonseed in corn silage based diets to lactating cows.
      ;
      • Ghasemi E.
      Improvement in nutritive value of cereal straw (rice, barley and wheat) by chemical and biological methods for use as ruminant feed.
      ;
      • Wang B.
      • Mao S.Y.
      • Yang H.J.
      • Wu Y.M.
      • Wang J.K.
      • Li S.L.
      • Shen Z.M.
      • Liu J.X.
      Effects of alfalfa and cereal straw as a forage source on nutrient digestibility and lactation performance in lactating dairy cows.
      ). However, most of those studies did not consider forage NDFD and uNDF, and thus the diets compared varied in rumen availability of fiber and NEL content. Substitution studies are difficult to design because adjustments made (in this case, incorporation of WS) can result in unintended changes in other important dietary characteristics. The present study addressed this issue by substituting WS for AH or CS in the diet of high-producing dairy cows on the basis of uNDF30 and NDFD contents and balancing the diets to supply similar concentrations of CP and NEL. When WS was incorporated in the diet as described, milk production was not affected. Interestingly, the combination of WS and CS (WS substituted for AH) increased feed intake, ruminal pH, NDFD, and energy balance of dairy cows compared with a diet with CS and AH. The results are important because in previous experiments the inclusion of WS in diets of high-producing dairy cows on the basis of dietary DM, NDF, or forage NDF generally decreased intake, digestibility, or milk production (
      • Poore M.H.
      • Moore J.A.
      • Swingle R.S.
      • Eck T.P.
      • Brown W.H.
      Wheat straw or alfalfa hay in diets with 30% neutral detergent fiber for lactating Holstein cows.
      ;
      • Eastridge M.L.
      • Bucci P.B.
      • Ribeiro C.V.D.M.
      Feeding equivalent concentrations of forage neutral detergent fiber from alfalfa hay, grass hay, wheat straw, and whole cottonseed in corn silage based diets to lactating cows.
      ;
      • Wang B.
      • Mao S.Y.
      • Yang H.J.
      • Wu Y.M.
      • Wang J.K.
      • Li S.L.
      • Shen Z.M.
      • Liu J.X.
      Effects of alfalfa and cereal straw as a forage source on nutrient digestibility and lactation performance in lactating dairy cows.
      ).
      Although all diets supplied similar concentrations of forage uNDF30 and NDFD30, DMI was influenced by the dietary treatments. A possible reason for greater DMI of WSCS compared with the other treatments is its lower concentration of dietary uNDF288 (8.1 vs. 9.7% of DM; WSCS vs. the average of other treatments), which is negatively associated with feed intake (
      • Harper K.J.
      • McNeill D.M.
      The role iNDF in the regulation of feed intake and the importance of its assessment in subtropical ruminant systems (the role of iNDF in the regulation of forage intake).
      ).
      • Cotanch K.W.
      Using 240 hour uNDF in the field.
      indicated that the amount of uNDF240 (presumed to be similar to uNDF288) consumed is a good indicator of ruminal fill and is inversely related to DMI. The difference in uNDF288 content of diets containing CS and AH was attributed to the difference in the original uNDF288 contents of the forages (12.8 vs. 27.1% of DM, respectively) even though they had similar NDF contents (54 vs. 52% of DM, respectively). The greater intake of diets containing CS versus AH is in agreement with
      • Akbari-Afjani A.
      • Zali A.
      • Gangkhanlou M.
      • Dehghan-Banadaky M.
      • Nasrollahi S.M.
      • Yang W.Z.
      Dietary ratios of maize silage to lucerne hay affect feed intake, chewing activity and milk production of dairy cows.
      and
      • Lopes F.
      • Cook D.E.
      • Combs D.K.
      Effects of varying ratios of corn silage to alfalfa silage on digestion of neutral detergent fiber in lactating dairy cows.
      , who reported greater DMI for cows consuming CS-based diets than for cows consuming AH-based diets, but the results contrast with
      • Onetti S.G.
      • Shaver R.D.
      • McGuire M.A.
      • Palmquist D.L.
      • Grummer R.R.
      Effect of supplemental tallow on performance of dairy cows fed diets with different corn silage:alfalfa silage ratios.
      and
      • Brito A.F.
      • Broderick G.A.
      • Reynal S.M.
      Effects of varying dietary ratios of alfalfa silage to corn silage on omasal flow and microbial protein synthesis in dairy cows.
      , who observed greater intake of AH-based diets compared with CS-based diets. The discrepancy among studies might be due to the concentration of NDF and uNDF288 in the original forages (
      • Lopes F.
      • Cook D.E.
      • Combs D.K.
      Effects of varying ratios of corn silage to alfalfa silage on digestion of neutral detergent fiber in lactating dairy cows.
      ), which is mainly due to forage maturity (
      • Akbari-Afjani A.
      • Zali A.
      • Gangkhanlou M.
      • Dehghan-Banadaky M.
      • Nasrollahi S.M.
      • Yang W.Z.
      Dietary ratios of maize silage to lucerne hay affect feed intake, chewing activity and milk production of dairy cows.
      ). Therefore, formulating diets to account for uNDF30 content of forage sources may have varying effects on DMI because uNDF288 content may also vary. In addition, greater BP in the WSCS diet compared with the other diets could have contributed to greater DMI because BP has a high amount of pdNDF and greater rate of degradation of pdNDF as well as a high cation exchange capacity (
      • McBurney M.I.
      • Van Soest P.J.
      • Chase L.E.
      Cation exchange capacity and buffering capacity of neutral-detergent fibres.
      ). In the present study, treatment effects on DMI did not occur until wk 4, in agreement with
      • Lopes F.
      • Cook D.E.
      • Combs D.K.
      Effects of varying ratios of corn silage to alfalfa silage on digestion of neutral detergent fiber in lactating dairy cows.
      , indicating that the filling effect of NDF sources is delayed, which would not be perceived in short-term studies (i.e., 21-d Latin square designs).
      Including WS in the diet increased ruminal pH regardless of all diets having similar forage NDF, forage uNDF30, uNDF30 and NDFD30 concentrations, and particle size. It should be noted that a single measure of pH via rumenocentesis does not represent the diurnal fluctuations due to diet that may have occurred. However,
      • Nasrollahi S.M.
      • Zali A.
      • Ghorbani G.R.
      • Moradi Shahrbabak M.
      • Heydari Soltan Abadi M.
      Variability in the susceptibility to acidosis among high producing mid-lactation dairy cows is associated with rumen pH, fermentation, feed intake, sorting activity, and milk fat percentage.
      reported that rumenocentesis and indwelling rumenoreticular probes produced consistent ranking of cows based on pH.
      • Fustini M.
      • Heinrichs A.J.
      • Palmonari A.
      • Formigoni A.
      Farm characteristics and TMR particle size issues on Parmigiano Reggiano farms in Northern Italy.
      showed that inclusion of WS could promote rumination and elevate ruminal pH even in diets with low peNDF content. They suggested that straw, even with short particle size, promotes more chewing per kilogram of NDF compared with other forages. Furthermore, reconstituting chopped WS before feeding, as was done in the present study, might have decreased sorting activity (
      • Teimouri Yansari A.
      • Valizadeh R.
      • Naserian A.
      • Christensen D.A.
      • Yu P.
      • Eftekhari Shahroodi F.
      Effects of alfalfa particle size and specific gravity on chewing activity, digestibility, and performance of Holstein dairy cows.
      ) by enhancing adherence of straw particles to other feed particles, making it more difficult for cows to sort the TMR.
      The improvement in ruminal pH due to WS may account for the greater total-tract NDFD of cows receiving diets containing WS. Cellulolytic bacteria in the rumen are sensitive to low rumen pH, and therefore decreasing rumen pH can affect fiber digestibility by diminishing the activity of these bacteria (
      • Russell J.B.
      • Wilson D.B.
      Why are ruminal cellulolytic bacteria unable to digest cellulose at low pH?.
      ). However, greater DMI and total-tract NDFD of WSCS compared with CSAH did not improve milk, FCM, or ECM production. In addition, milk production efficiency was decreased in cows fed WSCS as milk production was similar but feed consumption was greater in cows fed WSCS than in cows fed other dietary treatments. Lower milk production efficiency of cows fed WSCS might partly be explained by greater weight gain and energy balance of these cows indicating a potential change in nutrient partitioning among the diets. The difference in BW gain might be related to gut filling due to greater DMI in WSCS. However, the considerably greater BW change gain and numerically greater back fat thickness of WSCS cows would suggest an improvement in energy status.
      • Nasrollahi S.M.
      • Khorvash M.
      • Ghorbani G.R.
      • Teimouri-Yansari A.
      • Zali A.
      • Zebeli Q.
      Grain fermentability and marginal changes in forage particle size modulated digestive processes and nutrient intake in dairy cows.
      ,
      • Nasrollahi S.M.
      • Ghorbani G.R.
      • Khorvash M.
      • Yang W.Z.
      Effects of grain source and marginal change in lucerne hay particle size on feed sorting, eating behaviour, chewing activity, and milk production in mid-lactation Holstein dairy cows.
      ) reported a similar effect of feeding corn grain with a coarse particle size on increasing feed intake and BW gain without improving milk production. They proposed that a change in partitioning of nutrients to visceral metabolism and body fat accumulation accounted for the lack of response in milk production. The review by
      • Reynolds C.K.
      Production and metabolic effects of site of starch digestion in dairy cattle.
      indicates that digestion of starch in the small intestine and its absorption in the form of glucose trigger insulin secretion, causing nutrient partitioning to body reserve accumulation. The CS used in the present study contained unprocessed kernels, which may have led to greater postruminal digestion of starch and body gain compared with diets containing AH. The forage sources may have affected site of starch digestion and thereby lactation efficiency, which is a factor that should be considered when balancing diets for uNDF and NDFD concentrations.
      The lower milk protein concentration of cows fed WSAH corresponded to increased MUN concentration. Milk protein secretion in dairy cows is closely associated with the supply of MP (
      • National Research Council
      Nutrient Requirements of Dairy Cattle.
      ), especially microbial protein synthesis (
      • Zhu W.
      • Tang C.
      • Sun X.
      • Liu J.
      • Wu Y.
      • Yuan Y.
      • Zhang X.
      Rumen microbial protein synthesis and milk performance in lactating dairy cows fed the fortified corn stover diet in comparison with alfalfa diet.
      ). Incorporation of WS in dairy cow diets has previously been shown to increase MUN concentration (
      • Farmer E.R.
      • Tucker H.A.
      • Dann H.M.
      • Cotanch K.W.
      • Mooney C.S.
      • Lock A.L.
      • Yagi K.
      • Grant R.J.
      Effect of reducing dietary forage in lower starch diets on performance, ruminal characteristics, and nutrient digestibility in lactating Holstein cows.
      ;
      • Wang B.
      • Mao S.Y.
      • Yang H.J.
      • Wu Y.M.
      • Wang J.K.
      • Li S.L.
      • Shen Z.M.
      • Liu J.X.
      Effects of alfalfa and cereal straw as a forage source on nutrient digestibility and lactation performance in lactating dairy cows.
      ) and decrease milk protein production (
      • Ghasemi E.
      Improvement in nutritive value of cereal straw (rice, barley and wheat) by chemical and biological methods for use as ruminant feed.
      ;
      • Wang B.
      • Mao S.Y.
      • Yang H.J.
      • Wu Y.M.
      • Wang J.K.
      • Li S.L.
      • Shen Z.M.
      • Liu J.X.
      Effects of alfalfa and cereal straw as a forage source on nutrient digestibility and lactation performance in lactating dairy cows.
      ), although this relationship has not been observed in all studies (
      • Poore M.H.
      • Moore J.A.
      • Swingle R.S.
      • Eck T.P.
      • Brown W.H.
      Wheat straw or alfalfa hay in diets with 30% neutral detergent fiber for lactating Holstein cows.
      ;
      • Eastridge M.L.
      • Bucci P.B.
      • Ribeiro C.V.D.M.
      Feeding equivalent concentrations of forage neutral detergent fiber from alfalfa hay, grass hay, wheat straw, and whole cottonseed in corn silage based diets to lactating cows.
      ).
      • Wang B.
      • Mao S.Y.
      • Yang H.J.
      • Wu Y.M.
      • Wang J.K.
      • Li S.L.
      • Shen Z.M.
      • Liu J.X.
      Effects of alfalfa and cereal straw as a forage source on nutrient digestibility and lactation performance in lactating dairy cows.
      proposed that feeding WS instead of conventional forages might decrease fermentable carbohydrate concentration of diets and therefore diminish available carbohydrates for ruminal microbial synthesis. Other studies showed that elevating NFC or starch content of diets containing WS prevented a decrease in MUN and milk protein production (
      • Eastridge M.L.
      • Bucci P.B.
      • Ribeiro C.V.D.M.
      Feeding equivalent concentrations of forage neutral detergent fiber from alfalfa hay, grass hay, wheat straw, and whole cottonseed in corn silage based diets to lactating cows.
      ) or actually increased milk protein content (
      • Poore M.H.
      • Moore J.A.
      • Swingle R.S.
      • Eck T.P.
      • Brown W.H.
      Wheat straw or alfalfa hay in diets with 30% neutral detergent fiber for lactating Holstein cows.
      ). The numerically lower NFC and starch contents and presumably lower pectin content (due to less BP) in the WSAH diet compared with the other WS-containing diets could have reduced the carbohydrate available for fermentation to capture N in the rumen. The relatively mature AH used in the current study may also have contributed to the decrease in protein content of milk. Therefore, fermentable carbohydrate fractions that are important energy sources for microbial protein synthesis and milk protein production need to be considered when adjusting diets for uNDF and NDFD contents.
      Finally, it should be said that some marginal modification of the ingredient composition other than forages was required to make the treatment diets in the present study isocaloric and isonitrogenous while balancing for forage uNDF30. Although these modifications were relatively small, the potential for unintended consequences needs to be considered when reviewing the results of the present study.

      CONCLUSIONS

      Inclusion of WS in isocaloric and isonitrogenous dairy cow diets when substituted for either AH or CS based on NDFD characteristics (uNDF30) resulted in similar milk production. However, a combination of WS and CS (WSCS diet) improved feed intake, ruminal pH, total-tract NDFD, and energy balance of dairy cows but reduced the efficiency of milk production. Thus, adding straw to diets containing CS can help improve ruminal function of high-producing dairy cows but may decrease feed efficiency. We conclude that a uNDF30-based inclusion of WS in dairy cow diets can sustain lactation performance, and combination with CS rather than AH is recommended.

      ACKNOWLEDGMENTS

      This manuscript is contribution no. 95816047 from the Iran National Science Foundation (Tehran, Iran). Authors are thank F. Hashemzadeh-Cigari, A. Piadeh, H. Kahyani, O. Ramezani, M. Asemi, E. Ahmadi, M. Nazari, A. Rajaeerad, M. Safahani-Langarudi, and M. Nemati (Isfahan, Iran), and Feed Processing Co. of Kabileh (Isfahan, Iran) for their technical assistance.

      Supplementary Material

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